Prioritizing the barriers of TQM implementation from the perspective of garment sector in developing countries

A qualitative approach to investigate stakeholders' engagement in construction projects

Purpose

Stakeholder engagement in construction projects is an ingredient that contributes to project optimal performance. Many developing countries have a paucity of literature about stakeholders' engagement in construction projects. Therefore, the study investigated South Africa's shareholders' engagement in construction projects and recommended possible measures to mitigate potential limitations.

Design/methodology/approach

The researchers collated data from South African experts in stakeholder engagement via a phenomenology type of qualitative research design. They explored the “perceived hindrances” facing stakeholders' engagement in construction projects and proffer measures to mitigate them. The study analysed collected data via thematic analysis and achieved saturation. Three themes emerged from the analysed data.

Findings

Findings show that efficient stakeholder engagement will enhance team collaboration and integrated construction project delivery. Results identified the perceived limitations facing stakeholders' engagement in South Africa's construction projects and categorised them into individual perceived hindrances, organisational perceived hindrances and government-related perceived hindrances. Also, findings proffer measures to mitigate perceived hindrances via policies and programmes within the sector.

Practical implications

Besides enhancing policymakers and other stakeholders in South Africa's construction industry to understand the benefits of stakeholder engagement better, the study may stir up the construction sector's stakeholders to embrace enhanced and effective stakeholders' management.

Originality/value

This study contributes to construction project practice that involves stakeholders, as it reveals the underlying causes of perceived hindrances facing stakeholders' engagement in construction projects. Also, it proffers feasible solutions to mitigate these hindrances and enhance stakeholders' engagement within South Africa's construction projects.

A descriptive statistical analysis of enablers for integrated sustainable-green-lean-six sigma-agile manufacturing system (ISGLSAMS) in Indian manufacturing industries

Purpose

The purposes of this paper are (1) to identify and rank the various enablers for an integrated sustainable-green-lean-six sigma-agile manufacturing system (ISGLSAMS), and (2) to study their correlations and their impact on organizational performance.

Design/methodology/approach

Three tiers methodology is used to analyze the enablers for the successful adoption of ISGLSAMS. First, a total of 32 ISGLSAMS enablers are identified through a comprehensive literature review. Then, data are collected with a structured questionnaire from 108 Indian manufacturing industries. Then, an analytic approach is used to analyze (1) the relevance and significance of enablers and (2) their correlations (1) with each other, and (2) with the organizational performance outcomes, to strengthen the understanding of ISGLSAMS.

Findings

The findings suggest that top management commitment, sustainable reconfigurable manufacturing system, organization resources for 6 Rs, customers' and stakeholders' involvement, corporate social responsibility (CSR), customers and stakeholders-focused strategic alliances, dynamic manufacturing strategies, use of information and communication technology, concurrent engineering, standardized tasks for continuous improvement, virtual network of supply chain partners, real-time monitoring and control, training and education, employees' involvement and empowerment enablers are the higher level enablers for the adoption of ISGLSAMS. Findings also suggest that there is a scope for research in the incorporation of lot size reduction, Keiretsu-Kraljic supply chain relationship strategy, external collaborations with the stakeholders other than supply chain members, matrix flatter organization structure, employees' career development, justified employees' wages, government support for research fund and subsidies and vendor-managed inventory practices for ISGLSAMS. Top management commitment, sustainable reconfigurable manufacturing system, organization resources for 6 Rs, corporate social responsibility (CSR), dynamic manufacturing strategies, use of information and communication technology, concurrent engineering, virtual network of supply chain partners, real-time monitoring and control, training and education, employees' involvement and empowerment have a significant effect on (1) sustainable product design, (2) sustainable production system, (3) improvement in the sale, (4) improvement in market responsiveness, (5) improvement in the competitive position and (6) improvement in the global market image.

Practical implications

Through this study of ISGLSAMS enablers and their interdependence, and their impact on ISGLSAMS performance outcomes government, organizations, stakeholders, policymakers and supply chain partners may plan the policy, roadmap and strategies for the successful adoption of (1) ISGLSAMS in the organizational value chain, and (2) Industrial ecology and industrial symbiosis in India. The study also contributes to the industrial managers, and value chain partners a better understanding of ISGLSAMS.

Originality/value

This study is the first attempt to understand (1) the ISGLSAMS enablers and their correlations, and (2) the effect of ISGLSAMS enablers on ISGLSAMS performance outcomes to get the competitive and sustainability advantage. The study contributes to the practitioners, policymakers, organizations, government, researchers and academicians a better understanding of ISGLSAMS enablers and its performance outcomes.

The COVID-19 pandemic and supply chain: international cooperation patterns and influence mechanism

Purpose

The aim of this study is to undertake a systematic analysis of the supply chain literature to uncover the changes and patterns of international cooperation in the context of the COVID-19 pandemic.

Design/methodology/approach

In this study, the information on supply chain-related publications in the Web of Science (WOS) database is analyzed using statistical techniques and visual approaches. The focus is on the five countries with the highest number of supply chain publications, accounting for approximately 70% of global publications. This in-depth analysis aims to provide a clearer understanding of the cooperation patterns and their impact on the supply chain during the COVID-19 pandemic.

Findings

The results of the study reveal that the growth rate of international cooperation in supply chain research during the COVID-19 pandemic is higher compared to the 5-year and 10-year periods before the pandemic. This suggests that the pandemic has not hindered international cooperation in the field, but instead has increased collaboration. In terms of international cooperation patterns, the findings indicate that China and the USA have a strong partnership, with China being the largest partner for the USA and vice versa. The UK's largest partner is China, India's largest partner is the UK and Italy's largest partner is also the UK. This implies that trade, rather than the pandemic, is a determining factor in supply chain research.

Research limitations/implications

This study examines the patterns of international cooperation in supply chain research during the COVID-19 pandemic, providing insights into the changes and mechanisms of international cooperation in this field. Moreover, the results of this study may offer practical benefits for supply chain operators and managers. By providing a deeper understanding of the international cooperation patterns in the field, this research could contribute to the recovery and growth of the global supply chain.

Social implications

This study's analysis of the impact of crisis events, such as the COVID-19 pandemic, on international cooperation in supply chain research contributes to the theoretical development of the field. Additionally, by examining how academia responds to emergencies, it provides valuable insights for operations and supply chain managers in their pursuit of more effective supply chain management.

Originality/value

This study provides a preliminary examination of the international cooperation patterns of supply chain research in the context of the COVID-19 pandemic, representing a novel and early contribution to the existing literature, helping to expand upon current understanding in the field and provide a more comprehensive perspective. Furthermore, this study offers a practical analysis strategy for future supply chain research, fostering progress and growth in the field.

Design of service network for containerized export by multimodal transportation: with quality concept

Purpose

The first purpose is to assess the quality of containerized multimodal export and the second is to develop and demonstrate the design of a service network with quality approach.

Design/methodology/approach

The article used the structural equation model to develop a model to measure the quality of multimodal transportation for containerized exports and finalized the model with an alternative approach. The evolutionary algorithm had been used to design a service network based on quality.

Findings

Provided factors affecting quality of multimodal transportation and reverse to one hypothesis, the construct variation in cost, time shape and quantity did not affect the quality of multimodal transportation for containerized exports. The model without variation construct was finalized by exploring causality.

Research limitations/implications

This research had scope till container loading onto the vessel and assessed the quality for containerized cargo only, and second research purpose is limited by assumed values of fitness function and the limited number of nodes, in service network design demonstration.

Practical implications

This research provided a tool to measure the quality of multimodal transportation for containerized exports and demonstrated the field application of the model developed in service network design. This approach included all factors applicable across the container movement. The integrated approach of the article provided an organized method to design a service network for containerized exports.

Originality/value

This work provided the tool to assess the quality of multimodal transportation for containerized exports and developed an approach to design a service network of multimodal transportation based on quality. This approach has considered the factors of multimodal transportation comprehensively in contrast to the optimization approaches based on operation research techniques.

Managing food security using blockchain-enabled traceability system

Purpose

Food insecurity is a major concern for developing economies. Operational inadequacies get introduced with unorganized interactions among stakeholders in the food supply chain, affecting social, economic, environmental and operational (SEEO) aspects of a nation. This study analyzes India's largest food safety net program, Public Distribution System (PDS) and develops a perception-based model, mapping the root causes (of food insecurity) with possible solutions. The novelty lies in leveraging blockchain in the implementation of food traceability system.

Design/methodology/approach

Soft system methodology (SSM) is used to identify and analyze problems in PDS, leveraging the learning and inquiry process. It relies on system thinking and action research to create a defendable and rational model, which helps in proposing recommendations for addressing the problem.

Findings

Blockchain-enabled food traceability system increases transparency, thus enabling the fulfillment of basic food necessities for beneficiaries.

Practical implications

The proposed model enables policymakers to build a profound understanding of existing operational issues and provides insightful recommendations for making informed decisions to deal with the grave issue of food insecurity.

Originality/value

Unlike previous studies, this research attempts to understand operational inefficiencies during interactions among stakeholders. It proposes a perception-based conceptual model for the final implementation at the ground level. It also reveals significance of three systems: a delivery system, an enabling system empowering delivery system and a criteria system to control and monitor processes. This study thus bridges an important gap in the literature by proposing a blockchain-driven traceability system, under the control of criteria system, through the integration of system-thinking and action-research approach.

The effect of organic growth and acquisitions on performance of retailing networks in an alternating external operating environment

Purpose

This paper aims to investigate the impact of acquisition and organic growth on the operating efficiency and total factor productivity change of retailing networks.

Design/methodology/approach

The assessment uses low-frequency data of newly opened stores and acquired stores of a large supermarket (S/M) network in Athens, for a period (financial year 2014) where the network began to refocus on its organic growth after a two-year period of deep recession (financial years 2012–2013). To evaluate the performance effects of both strategies, the authors employ the innovative benchmarking tool of bootstrap data envelopment analysis (DEA) for measuring operational efficiency and the Malmquist productivity index DEA approach for measuring productivity change over time.

Findings

The short-run evidence indicates that compared to organic growth, acquisitions lead to lower operating efficiency. However, this difference gradually converges over time as acquired stores show a higher rate of productivity compared to newly opened stores. The authors interpret this as a result of the smooth integration of the acquired chain store into the organizational structure of the existing store network given their significant similarities in terms of products and customers.

Practical implications

The authors inform managers of store chains that during the process of organic growth, a general improvement in efficiency takes place while in the case of acquisitions, the required post-acquisition streamlining actions cause a short delay on the realization of efficiency gains. Therefore, managers should not take it for granted that acquisitions cause a long-term decrease in efficiency.

Originality/value

The study contributes to the literature on growth strategies and retailing performance in general, by offering new evidence regarding the comparative effect of the horizontal growth modes on the efficiency of store chains.

Horizontal logistics collaboration success factors: expectations versus reality

Purpose

This study aims to compare the expectations of non-collaborating professionals and the actual opinions of collaborating professionals regarding success factors of horizontal logistics collaboration (HLC) and investigates the reasons behind the observed differences.

Design/methodology/approach

This study employs a mixed-method approach. First, a survey is conducted to collect data from two samples representing collaborating and non-collaborating industry professionals. Second, confirmatory factor analysis (CFA) is used to compare the measurement models from the two samples and identify their similarities and differences. Third, a Delphi study is conducted to identify factors limiting collaborative behavior.

Findings

The results show that collaborating professionals exhibit lower levels of joint relationship efforts and trust than expected. This is primarily due to inadequate information sharing, poor collaboration formalization and the absence of a clear costs and benefits allocation mechanism.

Practical implications

The findings indicate that, in HLC, managers should give high importance to facilitating timely and complete information exchange, putting in place an acceptable costs/benefits allocation mechanism, formalizing the collaboration and prioritizing integrity over competency when selecting partners.

Originality/value

To the best of the authors’ knowledge, this is the first study that shows the existence of differences between industry professionals' pre-collaboration expectations and the actual experiences in HLC. This is also the first study that points to the exact HLC enablers that fail in practice and the barriers responsible for it.

Lean leadership: a bibliometric analysis

Purpose

The present research aims to understand how the literature on lean leadership is currently structured. For this, the thematic subdivisions within the subject (thematic clusters) are analyzed as well as the networks between authors and the authors' countries and the chronological co-occurrence of terms over the years.

Design/methodology/approach

The research strategy chosen was a bibliometric analysis conducted with documents collected from the Scopus scientific database. After screening, 192 documents were analyzed using the Vosviewer software.

Findings

The main result is related to identifying four thematic clusters. The first cluster is connected to the manufacturing and supply chain industry, and this showed an increasing concern with sustainability, agile manufacturing and digitalization. The second is related to small and medium-sized companies in which Lean concepts, often associated with Six Sigma ideas, present as differentials for competitive advantage. The third one is associated with the civil construction segment, in which there is a great need for cultural and organizational change. The fourth cluster focuses on health organizations. In all clusters, leadership plays a key role.

Practical implications

Besides the contributions to the literature on the theme, this study provides interesting insights for managers regarding the path the managers' sectors are taking in the Lean leadership context.

Originality/value

There are no studies that critically examine Lean leadership literature. This research identifies clusters on the theme, showing how Lean leadership is being addressed by international research.

Mapping the field of sustainable procurement: a bibliometric analysis

Purpose

The study aims to analyze the intellectual structure in sustainable procurement (SP) research to identify the knowledge research clusters and provide potential avenues for future research.

Design/methodology/approach

The study conducted a bibliometric analysis to analyze the intellectual structure in the area of SP. Overall, 1,294 articles were selected from the Scopus database published between 2000 and 2022. The analysis was conducted using bibliometric R package, Biblioshiny and VOSviewer software. Further, content analysis of research clusters was carried out to set the future research agenda.

Findings

The study identifies four major knowledge research clusters of SP, namely, (1) green supply chain practices, (2) socially responsible purchasing, (3) environmental purchasing and (4) public procurement and policy. The study suggests a few research directions in the SP field. Moreover, the future research directions are aligned with specific organizational theories applicable in the area of SP research.

Research limitations/implications

The study is dependent on the Scopus database for the source of research publications on SP. Future studies may consider other research database sources.

Practical implications

Identifying knowledge research clusters of SP research is of paramount importance for developing policies in the near future. These policy initiatives pave the way for the adoption of SP practices in the business. The findings indicate the issues managers encounter while implementing SP in organizations.

Originality/value

The study offers valuable insights concerning parameters such as significant publication outlets, influential countries concerning the number of publications, impactful authors, title keywords and identifying major knowledge research clusters of SP to suggest future research directions. Further, the present study highlights emerging areas that require further research, including process governance, supplier diversity, innovation, the role of emerging technologies and the application of organizational theories in SP.

Leagile manufacturing system adoption in an emerging economy: an examination of technological, organizational and environmental drivers

Purpose

Rapid changes in the global environment and the effects of existing economic issues triggered by COVID-19 and the war in Ukraine have posed several challenges for manufacturing firms. A hybrid strategy integrating lean and agile (leagile) systems is viable for firms to enhance their capabilities in such dynamic contexts. This paper examines the critical drivers of leagile manufacturing system adoption in an emerging economy from the technological, organizational and environmental (TOE) perspective.

Design/methodology/approach

A cross-sectional survey is carried out to obtain data from 438 managers working in 219 manufacturing firms. Multiple regression analysis is applied to test the effect of technological, organizational and environmental drivers on the adoption of leagile systems.

Findings

The results show that organization capacity, environmental uncertainty and relative advantage demonstrate the most significant positive relationships with the leagile systems adoption wherein complexity and resistance to change appear to exhibit significant negative associations. Unexpectedly, firm size unveils no significant effect on the adoption of leagile systems.

Practical implications

To deal effectively with critical challenges triggered by ever-changing environment, firms have sought to adopt innovative systems for achieving products' availability in the markets at the right quality and price. A hybrid strategy integrating lean and agile (leagile) systems is viable to enhance a firm's capabilities in such dynamic contexts. The findings of our study help top management and policymakers identify and assess the critical drivers that may facilitate or hinder the successful adoption of leagile systems.

Originality/value

A major trend of studies in the field of manufacturing systems has focused on the critical success factors of adopting either lean or agile systems. Furthermore, research work concerning leagile as a hybrid system focuses primarily on the conceptual development rather than empirical grounds of leagile systems. Given the lack of empirical research in this field, this study offers an early attempt to predict leagile system adoption in an emerging economy. It also contributes to the manufacturing systems research by extending the extant knowledge about the role of firm-level drivers in leagile system adoption from the TOE perspective.

Team leader survival syndrome, tenure and management styles towards professional subordinates on construction megaprojects; sustainability and corporate governance

Purpose

The modern construction industry is highly competitive and cost driven, with tangible adversarial relationships between projects' contractual parties at individual and organisational levels; there are conflict of interest as people to survive. Accordingly, team leaders on construction megaprojects (CMPs) in multinational engineering organisations strive to survive in such competitive markets. The research’s aim is to investigate relationships between team leaders' tenure and management styles towards professional subordinates on CMPs and elaborate how corporate governance can optimally address this conflict of interest and adversarial relationships.

Design/methodology/approach

The research methodology adopted processes of inducting theory using case studies. A qualitative approach was adopted as a primary data collection and analysis source. It involved case studies through primary data collection in semi-structured face-to-face interviews with 38 professional subordinates (interviewees) to discuss impacts of team leaders' tenure on their management style (a five-team leader, case studies). The research methodology is based on building theories from case study grounded theory research methodologies.

Findings

The research introduced the notion that team leader survival syndrome is pronounced and evidenced by adversarial reactions towards new or experienced professional subordinates where team leaders perceive professional subordinates, especially at senior technical levels, as potential risks that jeopardise their positions and employment survival possibilities. The syndrome is proven based on real-life case studies; it is constant, tangible and serious disorder of attitudes and behaviours. Longer tenure stimulates and accelerates these phenomena and syndrome, with 58% of team leaders exhibiting such syndromes. Optimum employee tenure is between 7 and 10 years. Corporate governance provides good resolution practices.

Research limitations/implications

The research implications are useful to construction industry and academia. However, the analysis is limited to the case studies considered in Canada and Qatar. Due to small sample size for both case studies and respondents to the questionnaire survey, it is recommended for future exploration to expand the scope of research to larger sample size and various demographic and geographical locations.

Practical implications

Corporates should acknowledge the presence of team leader survival syndromes. They should thoroughly investigate sociopolitical relationships behind it and seek to understand consequences on professional subordinates. Corporates should also adopt a 360-degree feedback system; they should limit trust given to team leaders in this regard to responsible trust, to eliminate manipulation. Team leaders are perceived as being not always truthful and misrepresent capabilities and performance of their professional subordinates to senior managers. Corporate governance holistic multidimensional perspectives are required to provide resolutions of team leader survival syndromes.

Originality/value

The research has discovered a phenomenon that team leaders on CMPs in architecture, engineering and construction (AEC) organisations, prompted by virtue of long tenure in corporates or by power of their managerial level in organisations, perceive their professional subordinates, especially senior technical employees, as potential risks. It is thought promoting them would put their own positions and security of tenure at risk. Hence, team leaders act adversarially, to enhance their own survival prospects. This research introduced the novel team leader survival syndrome and introduced analyses, practical implications and recommendations.

Investigating the influence of total productive maintenance key success factors on the social sustainability dimension of manufacturing SMEs

Purpose

Key success factors (KSFs) of total productive maintenance (TPM) have historically played a vital role in attaining economic and ecological sustainability but have overlooked social sustainability. Hence, this study analyses and ranks the most significant TPM KSFs for attaining social sustainability in manufacturing small and medium enterprises (SMEs).

Design/methodology/approach

The research employs a deductive methodology to identify the relevant TPM KSFs and social sustainability indicators and then uses Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to rank the TPM KSFs in order to achieve social sustainability, followed by a sensitivity analysis to assess the methodological robustness.

Findings

The findings indicate that the top five TPM KSFs influencing social sustainability are employee health and safety, organizational culture, top management commitment, employee engagement and effective communication and effective workplace management. In addition, the results indicate that effective equipment utilization is the least significant TPM key factor affecting social sustainability.

Research limitations/implications

SME manufacturing managers do not need to worry about all of the TPM KSFs if they only concentrate on the ones that will have the most impact. If managers use the top 5 TPM KSFs as a starting point, they may create customized TPM training programs for their companies. As a result, this will facilitate the efforts of their personnel toward social sustainability.

Originality/value

In the existing literature, little emphasis has been paid to social sustainability and how SMEs may implement these practices. This research adds to the current theory of TPM and social sustainability and sheds light on how SMEs might use TPM to advance toward more socially sustainable operations.

Individual change agents for corporate sustainability transformation: a systematic literature review

Purpose

Individual change agents for corporate sustainability can drive the transformation of organizations and foster sustainable development. Current research literature is growing and is published in a wide variety of journals. This systematic literature review provides an overview and synthesis of different understandings of individual change agents for corporate sustainability transformation. It identifies gaps and puts forward propositions to contribute to theoretical development in the field.

Design/methodology/approach

This paper conducts a systematic literature review and thematic content analysis of individual agency in light of corporate sustainability transformation.

Findings

The analysis identifies five research streams, three key dimensions of individual change agency for sustainability (beliefs, actions and competencies) and presents levels of individual agency for transformation. An integrated definition of change agents for sustainability is proposed.

Research limitations/implications

The review concludes with implications to support individuals in fostering sustainability transformations of organizations, markets and societies. The synthesis and propositions help in identifying which dimensions are already and could in future be addressed by individual change agents. While acknowledging the usual limitations of literature reviews, this paper can inspire future empirical research on the effectiveness of individual change agents for sustainability.

Originality/value

By synthesizing different understandings in the literature of individual change agents for sustainability, this article contributes to the theoretical development of individual agency in the areas of understandings, research streams, dimensions and perspectives. It also develops propositions on how individual change agency can effectively contribute to sustainability transformations at individual, organizational and systems levels.

Stakeholder perceptions of sustainability reporting on the websites of technical universities in Ghana

Purpose

This paper explores stakeholder perceptions on the nature and extent of sustainability reporting on the websites of technical universities (TUs) in Ghana.

Design/methodology/approach

The authors collected data from the websites of the 10 TUs in Ghana and interviewed the stakeholders of the TUs. In analyzing the data, the authors used thematic analysis for the interview responses. The authors also adopted the global reporting initiative (GRI) guidelines and campus sustainability assessment tools for the presentation and analysis of the sustainability disclosures on the websites of the TUs.

Findings

The authors found that due to weak institutional coercions, there were limited disclosures on the websites of the TUs, which aimed at gaining stakeholders' legitimacy; the disclosures were more focused on organizational profile, governance and educational aspects of sustainability. To a large extent, while some external stakeholders such as parents, regulators and alumni appear to be less interested in the disclosures on the TU's websites, internal stakeholders such as employees (teaching and non-teaching staff) and students who frequently visited the TU's websites perceived limited reporting and were not impressed with the extent of sustainability disclosures on these websites.

Practical implications

The findings of this study are intended to assist policy-makers in the educational sector to appreciate the importance of sustainability reporting on their websites. The results of this study will assist higher educational institutions (HEIs) in increasing the success rate of sustainability implementation by overcoming the lack of sustainability disclosures on their websites. Thus, the results of this study have implications for sustainability implementations, particularly those in emerging economies and policy-makers of universities worldwide.

Originality/value

This study could provide two significant values. First, to the best of the authors’ knowledge, no other study has explored stakeholder perceptions of sustainability reporting in implementing sustainability within the education sector. Second, the results were arrived at by combining stakeholder consultations with content analyses, which could be a good guideline for sustainability implementation in the educational sector of developing countries.

The influence of lean thinking on philanthropic organisations' disaster response processes

Purpose

This paper aims to reveal the philanthropy landscape processes for dealing with disasters and examine the influence of lean thinking in managing philanthropy for disasters. It sought to leverage continuous improvement and maximise disaster response and humanitarian logistics efficiency.

Design/methodology/approach

A sequential quantitative, qualitative research methods strategy was utilised involving data collection with literary analysis and two sets of online surveys with 212 NGO staff members in Malawi, Mozambique, South Africa and Zimbabwe. In addition, in-depth key informant interviews were conducted with 23 staff members at various management levels from these countries.

Findings

The study found that lean thinking had a positive, statistically valid influence at a 95% confidence level. Community incorporation, government support and collaboration with other philanthropic organisations were critical success factors. When lean thinking tools were applied (any tools), philanthropic organisations experienced waste reduction and value addition, where waste reduction accounted for 67% variation, and value-addition accounted for 58%, respectively. These were the same benefits experienced in other industries, thus, justifying lean thinking's applicability in the non-profit sector. Lean was most helpful about the communication and duplication of efforts challenges humanitarian or philanthropic organisations face when responding to a disaster.

Practical implications

The study equips leaders and philanthropic organisations with suggestions to manage and respond to disasters in a lean and effective manner. The study helps philanthropy leaders rethink their funding and response models to pursue lean policies catering to humanitarian organisations and the communities they serve.

Originality/value

The study closes significant gaps in the literature and practice by adopting a multi-sectoral lens that borrows from business and manufacturing tools into a non-profit context. It enables documentation of processes and logistical management by philanthropy organisations for continuous improvement and elimination of waste to ensure efficiency in the philanthropic role of alleviating the impact of disasters. The study also affirms the need for philanthropic organisations to incorporate community feedback, use lean tools to collaborate with other responding organisations and work closely with the local authorities to fulfil the government's supportive role: the primary source and executor in disaster response.

Improving automated pallet handling procedures at a Saudi milk factory through overall equipment effectiveness

Purpose

Saudi Arabia's 2030 vision targets an increase of 34% in non-oil revenue participation in the GDP, thus the need for automation and digital transformation. The Company ER is a market leader producing high-quality dairy products in the Kingdom and is a pioneer in the production industry. The company has recently increased the capacity of its milk factory to meet its vision. An investment was made to automate the pallet handling procedures at the milk factory to provide increased production for daily consumption. The new automation transition in Company ER's milk factory provides a unique opportunity to utilize lean management tools to improve the current automated processes before commercialization.

Design/methodology/approach

OEE (overall equipment effectiveness) will monitor losses for different operational losses in the new automated system and indicate system improvements, with 85% as the target. Based on DMADV (design, measure, analyze, design and validate) methodology, this study analyzes the entire automated pallet handling system. It uses lean tools to identify areas for improvement, identify waste elements and propose solutions to achieve Company ER's OEE targets.

Findings

In this paper, the outcomes will be presented as documented solutions that address the losses encountered in the production system, showing a 12.8% increase in the system's OEE.

Research limitations/implications

Owing the time and resource constraint, this study only involved automated pallet handling procedures in a milk production facility. Hence, the generalization of the result is slightly limited. More studies in several different processes and sectors are required.

Practical implications

This study provided a valuable tool for researchers for gaining deeper understanding regarding the lean manufacturing and its implementation. For practitioners, it is useful to evaluate the degree of lean manufacturing tools in their material handling systems.

Originality/value

This study is the first attempt to develop lean manufacturing constructs for evaluating the automated pallet handling procedures in a milk production facility.

Maturity models in SSCM: a systematic review aimed at consolidating models and outlining possibilities for future research

Purpose

This research analyzes the current knowledge regarding the use of maturity models (MMs) in SSCM, aiming to identify the main characteristics, trends and research gaps on the subject. Facing the growing interest in carrying out studies directed at sustainability, to the detriment of more prescient environmental and social impacts and the need to consolidate the concepts present in the literature regarding the SSCM, an absence of similar studies in the current literature was found. The authors have selected articles to compose a database that allows users to analyze and classify publications on MMs in SSCM, being those subdivided into 7 categories: focus, methodology, analyzed sector, sustainable practices, dimensions of sustainable development, type of MM and model/framework validation method.

Design/methodology/approach

To achieve this purpose, a literature systematization was conducted by searching publications using defined keywords in two databases and following a process of classification. The systematic process has five steps, from the selection of databases to the filtering of publications, review of information and analysis of the sample.

Findings

The topic under study is promising, with a few publications dealing with it, mainly in Brazil, and there is a trend to exploit more of the area in future research.

Originality/value

This research provides a detailed analysis of an emerging theme, divided into seven thematic categories. Results demonstrate that the topic is still underexplored, indicating an important research gap to be filled.

Characterization of Lean Six Sigma projects in healthcare settings: empirical research

Purpose

This paper aims to characterize a sample of Lean Six Sigma (LSS) projects in healthcare settings and discuss some specificities of operational excellence (OPEX) initiatives in hospitals and healthcare organizations in the USA.

Design/methodology/approach

A content analysis involving a sample of 23 documents shared by US hospitals was performed in order to achieve the research objectives. Such analysis was based on a conceptual framework developed from the literature review. It was also applied to a quantitative approach, including descriptive statistics, hypothesis testing and correspondence analysis that supported the research.

Findings

Most LSSH projects were focused on business transformation and strategic improvements. Simple techniques and tools were predominant such as descriptive statistics, process mapping, 5S and spaghetti charts, usually implemented by Green Belts and Black Belts through the define, measure, analyze, improve and control (DMAIC) method. In addition to the expressive findings reported, these projects' results have been aligned with lead time and operational cost reduction, quality improvement and capacity increase.

Research limitations/implications

The study adds knowledge to the OPEX literature by analyzing the Lean Six Sigma healthcare (LSSH) in hospitals and healthcare institutions in the USA. It also demonstrates that different approaches, such as the kaizen event and DMAIC project show different results according to some techniques and tools applied in the hospital environment.

Originality/value

The empirical evidence presented in this study provides scenery of the LSS practices in the healthcare settings, highlighting the implementation areas, outcomes, tools and techniques mostly used in the North American healthcare institutions.

Unfolding design and technology for superior sales growth under moderating effect of technological environment

Purpose

Firms use design capability across the globe to compete and increase sales, e.g. Apple. However, the payoff from design know-how has been overlooked thus far. Academic research lags in this space despite the intersection of sales, technology and design in practice. This paper provides researchers and managers with implications of the interplay between design capability and technological market conditions to enhance a firm's sales.

Design/methodology/approach

Firms' capability design, and sales impact have been studied in this paper across different technological market conditions. Primary technological conditions of the industry under which firms operate are captured, which are technological intensity (TI), technological competitive intensity (TCI) and technological maturity (TM). Their interplay has been studied using panel data analysis, examining fixed and random effects.

Findings

Design is an important, interesting and non-imitable capacity that yields positive firm execution results. It provides an urgent differentiator and improves deal development. This study found that all four hypotheses are generally supported. The main finding is that, provided underlying technology is good, design significantly improves sales, but design alone cannot substitute for poor technology.

Practical implications

The results of this study link the three technological environment conditions, namely, TI, TCI and TM with sales growth. The authors find that design can and does add to superior performance, provided technological excellence exists prior. But, in the absence of good technology, design alone will hinder performance.

Originality/value

This paper examines the effect of firm design capability on sales growth. The paper finds a positive moderating effect of TCI and TM but a negative moderating effect of TI. The researchers believe these aspects of the design have not been studied before.

A configuration taxonomy based on business process orientation: evidence from organizations in Indonesia

Purpose

This study aims to develop a taxonomy of organizations according to business process orientation (BPO) maturity and investigate the difference between clusters in terms of performance outcome.

Design/methodology/approach

A survey of various organizations in Indonesia is conducted. The main variables are critical practices (CPs) as the measurement variables of BPO maturity and performance outcome. Cluster analysis is performed to obtain an empirical taxonomy of the organizations. ANOVA test is used to test if there are statistically different performance outcomes across different clusters.

Findings

Cluster analysis resulted in six archetypes labeled according to their characteristics: Beginners, Non-technical, Domestics, IT laggards, Excellers, and Champions. The ANOVA test results show that the archetypes with high CPs tend to have high perceived performance results.

Research limitations/implications

This study is limited because the authors use a single dataset from organizations in Indonesia. Further study involving more organizations will be beneficial to validate and enrich the taxonomy of organizational archetypes.

Practical implications

Results of the study can be used as a benchmarking tool by organizations to identify their positions against other organizations and set their areas for improvement. It can also help them identify a roadmap for improvement that will benefit their organization.

Originality/value

Using the CPs as a measure of BPO enables the authors to identify supplier orientation and information and technology (IT) implementation as the primary differentiators within the taxonomy. The use of IT differentiates the bottom, middle and top clusters.

Green human capital readiness and business performance: do green market orientation and green supply chain management matter?

Purpose

This study aims to examine the effect of green human capital readiness on business performance in the green economy era. This study also focuses on investigating whether the relationship is mediated by green market orientation and green supply chain management.

Design/methodology/approach

This is a quantitative study using the data of 182 manufacturing small and medium-sized enterprises in East Java, Indonesia. Data are collected using an online survey. A multiple mediation research framework is employed, and partial least squares structural equation modeling is used to test the hypotheses.

Findings

The findings demonstrate the following important results. First, green human capital readiness affects business performance. Second, green market orientation partially mediates the effect of green human capital readiness on business performance. Third, green supply chain management partially mediates the effect of green human capital readiness on business performance. Fourth, green market orientation and green supply chain management sequentially mediate the green human capital readiness-business performance relationship.

Research limitations/implications

This study limits its sample to the small and medium-sized enterprises in East Java, Indonesia. Thus, caution must be applied when generalizing to other types of organizations and different regions. The results confirm the resource-based view and sustainability theory in explaining the antecedents of business performance in the era of the green economy which are useful for future researchers and students who are interested in studying human capital, market orientation, supply chain management and business performance.

Practical implications

This study has the following practical implications. First, it implies that the owners/managers of small and medium-sized enterprises need to properly develop their green human capital readiness because they play a strategic role in driving green market orientation, improving green supply chain management and enhancing business performance. Second, it provides useful information to policymakers to make better decision-making in developing environmentally friendly companies.

Originality/value

This study is a response to calls for studies on the antecedents of business performance in the green economy era. It provides empirical evidence for the development of resource-based view and sustainability theory by employing the new construct of green human capital readiness, which has been rarely investigated in previous studies. It also employs a multiple mediation research framework that provides a more comprehensive understanding by including green market orientation and green supply chain management. It also provides empirical evidence in the research setting of small and medium-sized enterprises in Indonesia as an emerging market.

Green maritime practices in an emerging economy towards the achievement of sustainable development: a Ghanaian context

Purpose

The objective to achieve economic growth and sustainable development (SD) within the maritime industry has ever since been the ultimate goal of the International Maritime Organization and its stakeholders. Coupled with this effect, the United Nations organization has also mandated all its bodies to adopt sustainable working policies and practices towards the achievement of SD in its 2030 Agenda. From the standpoint of an emerging economy, this study aims to examine green maritime practices adopted by maritime authorities towards the achievement of SD in the maritime industry of Ghana. The proposed conceptual model of this study supports the natural resource-based view theory advocated by Hart (1995).

Design/methodology/approach

The dataset of this study was gathered using semi-structured questionnaires. A total of 635 valid responses were received as feedback which were tested and analyzed using partial least square structural equation modelling. The rationale for the adoption of this analytical tool is its resilient ability to handle a relatively small quantity of datasets. It is also suitable for empirical studies involving model development and at the early stage of theory development.

Findings

The findings of the study are as follows; firstly, quality maritime education and training directly and significantly influence green maritime transport (GMT), clean ocean and maritime resource conservation (COMRC), green port operations and services (GPOS), SD and waste management and treatment systems (WMTS). Secondly, GMT, COMRC, GPOS and WMTS have a direct significant influence on SD. Lastly, GMT, COMRC, GPOS and WMTS partially mediate the relationship between quality maritime education and training and SD.

Practical implications

This study proposes a conceptual model that attempts to explain to maritime authorities and stakeholders that although the adoption of green maritime practices significantly influences SD, yet, it may be insufficient without quality maritime education and training provided to maritime professionals. Hence, emphasizing that all maritime personnel receive quality maritime education and training to enhance the long-term achievement of SD in the maritime industry. It also attempts to prove and suggest to maritime authorities how they can collectively integrate both onshore and offshore green maritime practices to achieve SD.

Originality/value

The originality of this study shows in testing a conceptual model that affirms that, achieving SD in the maritime industry is dependent on quality maritime education and training received by maritime personnel, hence, demonstrating the significant role of maritime training institutions towards the maritime industry and the achievement of SD.

The boosting of the total quality management on corporate green growth in emerging markets: the mediating roles of corporate social responsibility and customer loyalty

Purpose

The primary purpose of this research is to examine how total quality management (TQM) boosts corporate green growth (CGG) with the involvement of corporate social responsibility (CSR) and customer loyalty (CL) as mediators in the relationship between TQM and CGG for small- and medium-sized enterprises (SMEs) in an emerging economy.

Design/methodology/approach

This research adopts a quantitative approach. According to the scope of this study, constructs of TQM, CSR, CL and CGG and the conceptual relationships between them are established using a systematic literature review. This study uses enterprise-level primary data collected from a questionnaire-based survey. The respondents are those holding managerial positions in their enterprises. There were 424 valid responses obtained following the necessary screening steps to ensure the eligibility of the collected data for analysis using AMOS version 20.

Findings

This study reveals that TQM has a positive and significant relationship with CSR, CL and CGG. Amongst these direct connections, TQM has the most substantial influence on CGG, followed by CL and CSR. Furthermore, the findings assert that CSR positively and significantly affects CGG and CL. When comparing the weighting of these effects, the results show that the impact of CSR on CGG is stronger than that on CL. Furthermore, the results confirm that CSR and CL partially mediate the relationship between TQM and CGG, both independently and simultaneously. The article also discusses the theoretical and managerial implications based on the stated findings.

Originality/value

The originality of this study stems from its contribution to enriching the body of the current literature on TQM and its combined influence on corporate performance. In this respect, this study adds to the existing literature by providing additional empirical evidence on the mechanism by which TQM boosts CGG with the involvement of CSR and CL in mediating the stated relationship between TQM and CGG for SMEs in an emerging economy. To the best of the author’s knowledge, such holistic incorporation is rare in the current literature. Furthermore, this study sheds light on the TQM enabling factors that are extended beyond the quality or technical scope as previously assumed. The stated contributions deserve to be originally derived from the attempt of this scientific work that may be of interest to academics, professionals and business practitioners.

Application of six sigma and the system thinking approach in COVID-19 operation management: a case study of the victorian aged care response centre (VACRC) in Australia

COVID-19 has posed many unique and critical challenges in various contexts and circumstances. This often led the stakeholders and decision-makers to depart from traditional thinking and the business-as-usual processes and to come up with innovative approaches to tackle various mission-critical situations within a short time frame. In this paper, a real-life case study of COVID-19 operation management following a multi-disciplinary, multi-stakeholder novel integrated approach in aged care facilities in Victoria, Australia, is presented which yielded significant and positive outcomes. The purpose of the intervention was to develop an integrated system performance approach through the application of various quality management tools and techniques to achieve organizational excellence at the aged care centers. The case involved the use of mathematical models along with statistical tools and techniques to address the specific problem scenario. A system-wide management plan was proposed, involving various agencies across several residential aged care facilities during the pandemic. A three-step methodological framework was developed, where Six Sigma, a system thinking approach, and a holistic metric were proposed to manage the value chain of the pandemic management system. The experimental result analyses showed significant improvement in the management process, suggesting the validity and potential of this holistic approach to stabilize the situation and subsequently set the conditions for operations excellence within the sectors. The model offers new insight into the existing body of knowledge and offers an efficient approach to achieving operational excellence in any organization or business regardless of its type, shape and complexity, which can help practitioners in managing complex, mission-critical situations like a pandemic.

A systematic review and future research agenda for sustainable fashion in the apparel industry

Purpose

The objective of this paper is to synthesise the published literature on consumer awareness and acceptance of Sustainable Fashion (SF) and highlight that sustainability decisions taken across procurement, designing, manufacturing and retailing must include the consumer perspective of SF.

Design/methodology/approach

Systematic Literature Review (SLR) on sustainable fashion combined with consumer behavior was conducted. The study approach involved descriptive analysis, content analysis and theoretical analysis in the first section. The later sections focus on sustainability practices across the apparel supply chain that can foster acceptance of sustainable fashion.

Findings

In this review paper, five solutions that are typically used for leveraging consumer awareness and acceptance towards sustainable fashion are identified from the latest research papers: (1) attention to micro-sensitive factors (2) shared responsibilities (3) repositioning sustainable fashion for larger audience (4) positioning conscious fashion and (5) unified approach. These solutions are proposed as most important for achieving success in sustainable production and sustainable consumption (SPSC) for the fashion industry. Further, suggestions for how to embed sustainability related business decisions across sourcing, designing, manufacturing, distribution and recollection and retailing are also provided.

Practical implications

Through this research, a clear view emerges of the progression of publication and where future research should be directed to popularise sustainable fashion among consumers. Research findings and proposed solutions will be valuable inputs for brand managers, marketers and retailers as they conceive new plans and make decisions about addressing sustainability challenges in textile and apparel manufacturing firms.

Originality/value

This is a first of its kind of study on sustainable fashion that highlights the importance of understanding consumer behaviour in influencing sustainability decisions required across sourcing, designing, manufacturing and retailing to achieve substantial economic advantages in the fashion industry. End-to-end supply chain processes (i.e. procurement, design, manufacturing, marketing and retailing) are considered to identify several factors that influence consumer behavior in favor of sustainable fashion throughout the supply chain.

Modelling the relationships between the barriers to implementing machine learning for accident analysis: the Indian petroleum industry

Purpose

This paper aims to identify, prioritise and explore the relationships between the various barriers that are hindering the machine learning (ML) adaptation for analysing accident data information in the Indian petroleum industry.

Design/methodology/approach

The preferred reporting items for systematic reviews and meta-analysis (PRISMA) is initially used to identify key barriers as reported in extant literature. The decision-making trial and evaluation laboratory (DEMATEL) technique is then used to discover the interrelationships between the barriers, which are then prioritised, based on three criteria (time, cost and relative importance) using complex proportional assessment (COPRAS) and multi-objective optimisation method by ratio analysis (MOORA). The Delphi method is used to obtain and analyse data from 10 petroleum experts who work at various petroleum facilities in India.

Findings

The findings provide practical insights for management and accident data analysts to use ML techniques when analysing large amounts of data. The analysis of barriers will help organisations focus resources on the most significant obstacles to overcome barriers to adopt ML as the primary tool for accident data analysis, which can save time, money and enable the exploration of valuable insights from the data.

Originality/value

This is the first study to use a hybrid three-phase methodology and consult with domain experts in the petroleum industry to rank and analyse the relationship between these barriers.

Addressing sustainability during and post-COVID-19 pandemic crisis: a literature review and bibliometric analysis to explore the future avenues

Purpose

This paper aims to identify the current research trends in sustainability through an extensive literature review and propose future research agenda under the ambit of the ongoing coronavirus disease 2019 (COVID-19) pandemic. Specifically, the present study aims to uncover the current state of the literature and thereby develop an understanding of how the pandemic has impacted the dimensions of sustainability.

Design/methodology/approach

To achieve the objective, the authors adopted a five-step literature review process, combined with bibliometric and network analysis. The authors also considered news articles and reports of international organizations to comprehensively achieve the research objective.

Findings

The study results show how the pandemic has impacted the social, economic and environmental dimensions of sustainability. The results also highlight the list of authors, countries and institutions that have proactively worked towards eliminating the disruption caused by the COVID-19 pandemic.

Research limitations/implications

The study provides an in-depth understanding of the scholarly contributions to the field of sustainability since the COVID-19 outbreak. The study is useful for policymakers and businesses interested in understanding how the pandemic has impacted the dimensions of sustainability and possible mitigation strategies. Furthermore, the study also provides future research directions in the intersection of pandemic and sustainability dimensions. Specific research questions (RQs) are also proposed to help future research.

Originality/value

To the best of the authors' knowledge, this study is a pioneer attempt to provide a comprehensive understanding of the existing and rapidly growing literature on COVID-19 and its relationship with the various dimensions of sustainability.

Smart manufacturing and sustainability: a bibliometric analysis

Purpose

During the past decade, the necessity to integrate manufacturing and sustainability has increased mainly to reduce the adverse effect on the manufacturing industry, transforming traditional manufacturing into smart manufacturing by adopting the latest manufacturing technology as part of the Industry 4.0 revolution. Smart manufacturing has piqued the interest of both academics and industry. Manufacturing is a foundation of products and services required for human health, safety, and well-being in modern society and from an organizational standpoint. This paper uses bibliometric analysis better to understand the relationship between smart manufacturing and sustainability scholarship and provide an up-to-date account of current industry practices.

Design/methodology/approach

This paper used the bibliometric analysis method to analyze and draw conclusions from 839 articles retrieved from the Scopus database from 1994 to February 2022. The methodology is divided into four steps: data collection, analysis, visualization, and interpretation. The current study aims to comprehend smart manufacturing and sustainability scholarship using the bibliometric R-package and VOSviewer software.

Findings

The study provides fascinating insights that may assist scholars, industry professionals, and top management in conceptualizing smart manufacturing and sustainability in their organizations. The results show that the number of publications has significantly increased from 2015 onwards, reaching a maximum of 317 journals in 2021 with an increasing publication annual growth rate of 21.9%. The United Kingdom, India, the United States of America, Italy, France, Brazil and China were the most productive countries in terms of the total number of publications. Technological Forecasting and Social Change, Journal of Cleaner Production, International Journal of Production Research, Production Planning and Control, Business Strategy and the Environment Technology in Society, and Benchmarking: An International Journal emerged as the top outlets.

Research limitations/implications

The research in the area of smart manufacturing and sustainability is underpinned by this study, which aims to understand the trends in this field over the last two decades in terms of prolific authors, most influential journals, key themes, and the field's intellectual and social structure. However, according to the research, this field is still in its early stages of development. As a result, a more in-depth analysis is required to aid in the development of a better understanding of this new field.

Originality/value

The paper focuses on integrating smart manufacturing and sustainability through increased interest from 2015 onwards through the literature review. Specific policies should be formulated to improve the manufacturing sector's competence. Furthermore, these findings can guide researchers who want to delve deeper into smart manufacturing and sustainability.

Performance measurement framework for the oil and gas supply chain

Purpose

There is evidence in the literature suggesting the usage of performance measurement framework (PMF) has a positive impact on organisational performance. This is in line with resource based view (RBV) theory, which argues attaining competitive advantage through internal resources and capabilities. In this regard, PMF can be viewed as a “resource” that can be explored in enabling organisational performance. This paper is aimed at developing PMF for the oil and gas supply chain (SC) as a resource and strategic capability.

Design/methodology/approach

Drawing on RBV theory, a questionnaire survey was designed based on prior literature review and exploratory interview with five SC experts. Following this, the questionnaires were distributed to 550 companies in the UK and 120 companies in Malaysia, which resulted in 15% overall response rate.

Findings

This study presents the prevalence of performance measures (PM) for the oil and gas industry based on the level of importance. It also reveals the impact of the usage of PMF on overall organisational performance. In addition, it identifies the challenges in managing SC performance and factors to be considered in choosing PM.

Originality/value

This study identifies the challenges in managing SC performance and establishes distinctive factors to consider when choosing PM in the oil and gas SC.

Strategies for reducing healthcare supply chain inventory costs

Purpose

This study aims to identify empirically proven strategies for reducing healthcare supply chain inventory costs.

Design/methodology/approach

The author conducted in-depth interviews in 80 hospitals covering different supply chains. The author treated the healthcare firm as the unit of analysis and examined Vrat's taxonomy of inventory models based on the static and dynamic complexity theories of inventory models to identify an appropriate approach. The author addressed 33 highly priced and moderately priced stock-keeping units from 1,432 items and test several inventory policies. Next, the author applied combinations of inventory models, testing probabilistic hybrid inventory models.

Findings

The study finds that medical supplies, equipment, and medications are indispensable for a quality healthcare system. Hence, healthcare supply chain management (SCM) professionals must adopt basic inventory cost-reduction strategies, implementing inventory software functionalities effectively and efficiently. This study shows that probabilistic hybrid inventory techniques in healthcare SCM effectively determine an optimal stocking level, significantly reducing costs.

Research limitations/implications

This study analyzes data from primary care and (to some extent) secondary care institutions. Although tertiary and quaternary care systems do not represent a large portion of the healthcare system, future research should also address these highly specialized organizations' needs.

Practical implications

This study proposes practical strategies to help continuously improve supply chain operations in healthcare organizations worldwide.

Originality/value

This study suggests probabilistic hybrid inventory models as empirically proven solutions for evaluating stock-keeping units in the healthcare sector. In doing so, the study provides a new healthcare supply chain approach, proposing a modified taxonomy of inventory models.

A nexus of market web traffic and investor's behavior in the EdTech market: evidence of performance from US and India

Purpose

The unexpected outbreak of COVID-19 has expedited the trend toward online education. To facilitate undisruptive learning, EdTech companies are continuously working on providing solutions to restore teaching and learning practices. This has caused a significant behavioral shift of the investors in the EdTech market. This study aims to analyze the effects of Web Market Traffic on the increased number of investors funding an EdTech Company in the market.

Design/methodology/approach

By drawing on the multi-method web analytics approach, this study analyses the nexus between Web Market Traffic and Investor's Behavior in the US and India, proving the hypothesized relationship in the proposed Model using a data sample of 300 EdTech Players.

Findings

There is a significant difference between the investor's behavior in India and the US. This study shows that the investors in the US are more inclined towards investing in EdTech companies in comparison to India. The Results demonstrate that monthly visits of consumers and the number of acquisitions by players positively affect the investor's behavior, while bounce rates take a toll on the number of investors.

Practical implications

This Study suggests that EdTech investors in the US and India should harness Web Traffic to capture the EdTech market. Further, this study offers practical implications that EdTech players can use to attract potential investors and increase brand visibility by improving web market traffic parameters.

Originality/value

This paper's original contribution is to empirically shed light on the effects of web market traffic on the investor's behavior. The study emphasizes the quintessentiality of managing the bounce rates and monthly visits for an EdTech market to attract more investors and capital inflow that enhance brand visibility. The study found that the investors behave distinctly in the developed and emerging markets in the US and India.

Transforming product development and production to be lean for improving business performance

Purpose

In this study, the authors assess the current state of lean product development and the lean production shop floor, along with the impact of the former on process quality and the latter on product quality and customer complaint reduction. The interplay between process and product quality and customer complaint reduction is assessed, along with their impacts on business performance.

Design/methodology/approach

Data were collected from 377 managers working at auto-component manufacturing firms in India. Confirmatory factor analysis was used for scale validation, and structural equation modelling was employed to test the research hypotheses.

Findings

The results of the statistical analyses reveal the positive influence of a lean production shop floor on process quality and lean product development on product quality and customer complaint reduction, and thereby on business performance.

Practical implications

The findings of this research provide insights into the interplay between lean and quality factors and their influence on customer complaint reduction and business performance. Practitioners can use the proposed model to strategically design unique products and improve the efficiency and effectiveness of the production shop floor, which can help enhance the product and process quality. This can reduce customer dissatisfaction and improve the business performance.

Originality/value

Few studies have simultaneously investigated the influence of lean product development and lean production shop floors in the Indian manufacturing context. To the best of our knowledge, this study is one of the first attempts to include customer complaint reduction as a construct in a lean model. It helps identify and prioritise the enablers of business performance and provides valuable insights for practitioners to strengthen lean implementation to attain a competitive edge.

Modeling of factors affecting supplier selection on start-ups during frequent pandemic episodes like COVID-19

Purpose

In developing countries such as India, start-ups play an essential role in “industrial output,” “Gross Domestic Product ” and “employment creation.” Evidence suggests that pandemics have risen over the last century due to rising global travel and assimilation, urbanization, alterations in land use, and significantly larger exploitation of the natural environment. These trends are likely to continue and intensify. These pandemic episodes affect businesses, especially start-ups. Supplier selection is among the vital critical elements that start-ups must include in start-ups' strategy procedures during the pandemic episodes. This study's focus is to “identify,” “analyze,” and “categorize” the factors affecting supplier selection in start-ups during frequent pandemic episodes like coronavirus disease 2019 (COVID-19).

Design/methodology/approach

Through “literature review” and “experts' opinion” from various start-ups in India, ten affecting factors were identified. Total Interpretative Structural Modeling (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) were employed to analyze the interrelationship among the factors affecting the supplier selection on start-ups during frequent pandemic episodes, and these factors were ranked as “autonomous,” “independent,” “linkage,” and “dependent” factors.

Findings

The findings show that “performance history,” “service levels,” “technical capability,” and “financial stability” are the most critical factors affecting the supplier selection on start-ups during frequent pandemic episodes. The next importance should be safety and environmental concern” and “quality.”

Research limitations/implications

The factors affecting supplier selection on start-ups during frequent pandemic episodes are the current focus of this study. This study is mainly performed on Indian start-ups and can be extended to other countries.

Practical implications

The start-ups can rely on this study to clearly understand the factors affecting the supplier selection on start-ups during frequent pandemic episodes.

Originality/value

There is no research regarding factors affecting supplier selection on start-ups during the COVID-19 emergencies. This research gap is filled by analyzing aspects linked to supplier selection in start-ups. This gap inspired the present study, which employs the “Total Interpretive Structural Modeling (TISM)” technique to uncover supplier selection determinants and investigate hierarchical interconnections among factors influencing/affecting supplier selection in start-ups during frequent pandemic episodes.

Integrated management system: methodology for maturity assessment in food industries

Purpose

A model to evaluate the maturity of the integration of three management systems in food industries, under the aspects of environment, quality and food safety is proposed.

Design/methodology/approach

The model is composed of maturity levels, allowing the understanding of the integration of the systems mentioned and their stage of evolution. The work was based on a bibliographic review of the topics: ISO standards, Integrated Management Systems (IMS) and already existing methods for maturity assessment. The referred model is composed of elements related to (1) audit dynamics, (2) changes in behavior, (3) the organizational structure, (4) the participation of senior management and (5) the interface with the cycle of continuous improvement.

Findings

The model is easily applicable and composed of five maturity levels, allowing the understanding of the stage of system evolution: (1) absence of maturity, (2) introductory level, (3) intermediate level, (4) toward excellence and (5) excellence.

Research limitations/implications

The results of the model may help managers in the development of actions for the improvement of their integrated management (drivers for IMS) aiming at process control, the focus on the client and the integration of people and processes. Based on the drivers, the managers will be able to make plans characterized by orientations, techniques and tools applied in the several organizational processes. Using the proposed model, managers can enhance the desired results with efficiency and effectiveness.

Originality/value

The existing literature presents limited results on the integration of certified systems for the analysis of the maturity stages in manufacturing industries. Therefore, this study extends results from other studies on IMS, associating them to an organizational maturity analysis in food industries, resulting in a proposal of maturity model. This study also proposes the integration of ISO 14001, ISO 9001 and ISO 22000 to indicate the maturity stage of manufacturing industries in the food sector, supporting the strategic management process of organizations of any size. The model adopts several aspects of management and control to provide a holistic view on the integrated management of organizations. Finally, the proposed model considers several aspects of management and control for the food industries in the developing countries, providing a holistic view of integrated management.

A DEA-ANN-based analytical framework to assess and predict the efficiency of Canadian universities in a service supply chain context

Purpose

This research is about embedding service-based supply chain management (SCM) concepts in the education sector. Due to Canada's competitive education sector, the authors focus on Canadian universities.

Design/methodology/approach

The authors develop a framework for evaluating and forecasting university performance using data envelopment analysis (DEA) and artificial neural networks (ANNs) to assist education policymakers. The application of the proposed framework is illustrated based on information from 16 Canadian universities and by investigating their teaching and research performance.

Findings

The major findings are (1) applying the service SCM concept to develop a performance evaluation and prediction framework, (2) demonstrating the application of DEA-ANN for computing and predicting the efficiency of service SCM in Canadian universities, and (3) generating insights to enable universities to improve their research and teaching performances considering critical inputs and outputs.

Research limitations/implications

This paper presents a new framework for universities' performance assessment and performance prediction. DEA and ANN are integrated to aid decision-makers in evaluating the performances of universities.

Practical implications

The findings suggest that higher education policymakers should monitor attrition rates at graduate and undergraduate levels and provide financial support to facilitate research and concentrate on Ph.D. programs. Additionally, the sensitivity analysis indicates that selecting inputs and outputs is critical in determining university rankings.

Originality/value

This research proposes a new integrated DEA and ANN framework to assess and forecast future teaching and research efficiencies applying the service supply chain concept. The findings offer policymakers insights such as paying close attention to the attrition rates of undergraduate and postgraduate programs. In addition, prioritizing internal research support and concentrating on Ph.D. programs is recommended.

The current state of benchmarking use and networks in facilities management

Purpose

The purpose of this paper is to address the knowledge gap on the use of benchmarking techniques as utilized by facilities management (FM) professionals for the purpose of identifying means to improve industry benchmarking practices and guide the direction of future FM benchmarking research.

Design/methodology/approach

Data were collected through surveying 585 FM practitioners representing various countries, organization sizes, types, industries. The data were summarized and analyzed through creating frequency tables, charts, and cross-tabulations. The survey results were compared to a previously published study on benchmarking use to identify the similarities and differences between benchmarking for FM functions vs core business functions.

Findings

The findings indicate that while FM-oriented benchmarking has been adopted at similar levels as other industries, FM-oriented benchmarking tends to be simplistic, lacks a strategic position in the company, often relies upon self-report survey data, is often performed by an individual with no formal benchmarking team and does not utilize process benchmarking or benchmarking networks. These findings emphasize the need for benchmarking education, advocacy for FM as a strategic business partner, the development of verified data sources and networks specifically for the unique greater facilities management field functions.

Practical implications

These findings provide needed data on the state of FM practitioner use of benchmarking specifically for FM functions in North America. The results can be used as an assessment for the industry, to improve practitioner use and knowledge, and to identify further avenues for academic study.

Originality/value

The value of this study lies in filling in identified knowledge gaps on how FM practitioners are using benchmarking in practice. These data are absent from the research literature and offer the potential to help bridge the academic-practitioner divide to ensure that future research will focus on addressing practitioner needs for the industry.

Determinants of mobile apps adoption by retail investors for online trading in emerging financial markets

Purpose

The purpose of this study is to investigate the influence of mobile applications on investment decisions by retail investors in stocks and mutual funds. This study focuses on how mobile technologies are applied on mobile apps by retail investors for e-trading in emerging financial markets.

Design/methodology/approach

The study explored predictive relevance for the adoption behavior of retail investors under the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Further, goal contagion theory was applied to investigate the adoption behavior of investors towards e-trading. An adapted questionnaire was used to collect the date from April to June 2021 and data analysis was performed on 507 usable responses. The methodology adopted in this study is variance based partial least square structural equational modelling (PLS-SEM). Additionally, the study explains important and performing constructs based on the response of retail investors towards mobile app usage for investment decisions.

Findings

The study shows that effort expectancy, performance expectancy followed by perceived return were the primary determinants of behavioral intentions to use mobile applications by retail investors for e-trading. Further, habit of investors determined the adoption behavior of investors towards mobile apps. Additionally, the study revealed that perceived risk is not an important aspect for retail investors in comparison to perceived return.

Research limitations/implications

The study in future can address to the aspect of personality traits of retail investors for technology adoption for investment decisions. Further investigation is required on addressing unobserved heterogeneity of retail investors towards technology adoption process in emerging financial markets.

Practical implications

The study provides theoretical and practical implications for retail investors, financial advisors and technology companies to understand the behavioral pattern and mobile apps adoption behavior of retail investors in emerging financial market. The findings in the study will help broking firms to sensitize their clients for effective use of their respective mobile apps for e-trading purposes. The study will strengthen the knowledge of financial advisors to understand investment behavior of retail investors in emerging financial markets.

Originality/value

This study unfolds a novel framework of research to understand the technology adoption pattern of retail investors for e-trading by mobile applications in emerging financial markets. The present study provides significant understanding in the domain of technology adoption by retail investors under behavioral finance environment.

Mediating role of pro-environmental behavior in environmentally specific transformational leadership and subjective well-being

Purpose

Based on self-determination theory, the paper investigates the link between environmentally specific transformational leadership (ETFL) and subjective well-being (SWB) of employees working in an energy intensive industry. The paper also aims to examine pro-environmental behavior (PEB) as a mediator mechanism between ETFL and SWB relationship.

Design/methodology/approach

An empirical research design was used for the analysis. In total, 293 respondents working in different energy intensive Indian companies filled the questionnaire for the study. The data were analyzed using structural equation modeling SMART-PLS 3 software which is a graphical user interface for variance-based structural equation modeling using the partial least squares path modeling method. Two stages of analysis were conducted: the measurement model and the structural model.

Findings

The results indicate that (1) ETFL has a significant positive impact on PEB. (2) PEB is positively correlated to SWB. (3) ETFL has a significant impact on SWB. (4) The underlying mechanism process of ETFL and SWB relationship is explained by mediation of PEB.

Practical implications

Overall, the study insinuates that PEB act as underlying mechanism in environmental leadership and SWB of employees. The study further suggests that the management should promote green leaders for enhancing the overall SWB of the managements' employees especially in energy intensive sector. Doing so helps the managers to enhance managers' environmental conscious behavior for inducing SWB of employees.

Originality/value

The study contributes to novel findings in existing literature particularly to determine ETFL and PEB as predictors of SWB especially in energy intensive sector. The study also leads the ways for organizations by promoting green conscious leaders, which stimulates PEB among employees that ultimately contributes to SWB of employees. Furthermore, the research methodology can be used in other studies for variation of contextual variables such as size of the industry, developed or underdeveloped country and manufacturing or service industry.

New business capacity of developed, developing and least developing economies: inspection through state-of-the-art fuzzy clustering and PSO-GBR frameworks

Purpose

It is essential to validate whether a nation's economic strength always transpires into new business capacity. The present research strives to identify the key indicators to the proxy new business ecosystem of countries and critically evaluate the similarity through the lens of advanced Fuzzy Clustering Frameworks over the years.

Design/methodology/approach

The authors use Fuzzy C Means, Type 2 Fuzzy C Means, Fuzzy Possibilistic C Means and Fuzzy Possibilistic Product Partition C Means Clustering algorithm to discover the inherent groupings of the considered countries in terms of intricate patterns of geospatial new business capacity during 2015–2018. Additionally, the authors propose a Particle Swarm Optimization driven Gradient Boosting Regression methodology to measure the influence of the underlying indicators for the overall surge in new business.

Findings

The Fuzzy Clustering frameworks suggest the existence of two clusters of nations across the years. Several developing countries have emerged to cater praiseworthy state of the new business ecosystem. The ease of running a business has appeared to be the most influential feature that governs the overall New Business Density.

Practical implications

It is of paramount practical importance to conduct a periodic review of nations' overall new business ecosystem to draw action plans to emphasize and augment the key enablers linked to new business growth. Countries found to lack new business capacity despite enjoying adequate economic strength can focus effectively on weaker dimensions.

Originality/value

The research proposes a robust systematic framework for new business capacity across different economies, indicating that economic strength does not necessarily transpire to equivalent new business capacity.

Total quality management in Peruvian goods companies during the COVID-19 pandemic

Purpose

The aim of this research is to empirically assess the nine dimensions of the Total Quality Management (TQM) model, which have been categorized into four blocks: the top management block, the supplier block, the process management block and the customer block. The nine dimensions represent key strategic activities of company performance. A comparative analysis of companies with ISO 9001 certification and those without certification in a developing country during the COVID-19 pandemic is carried out.

Design/methodology/approach

A survey was administered to the management of 259 Peruvian goods companies (in the mining, repair and manufacturing sectors) during the COVID-19 pandemic. The survey consisted of 35 Likert-scale items, which were grouped into the following nine TQM dimensions: Top management (leadership), quality planning, quality audit and assessment, product design, suppliers' quality management, process control and improvement, education and training, quality circles and focus on customer satisfaction. Then, Cronbach's alpha, the Kolmogorov–Smirnov test, the Mann–Whitney U test and means were computed for each of the dimensions. This analysis made it possible to estimate significant differences between ISO 9001 certified and non-certified goods companies in terms of the dimensions.

Findings

The results showed that, for ISO 9001 certified companies, the averages for all of the dimensions were significantly different from those of non-certified companies, except for the education and training dimension. ISO 9001 certified companies scored higher than non-certified companies in the TQM dimensions. For both certified and non-certified companies, the leadership dimension had the highest average and the quality circles dimension had the lowest average.

Originality/value

This study addresses two main gaps highlighted in the research on quality management: the application of Quality Management Systems (QMS) in developing countries like Peru, and the impact of ISO 9001 on the performance of goods companies during the COVID-19 pandemic.

The missing link in disruption management research: coping

The COVID-19 pandemic made it clear that the impact of supply chain disruptions on different organizations may vary widely. Even if different levels of capabilities (agility, adaptability, etc.) may have contributed to the differential in outcomes, organizations need to learn how to harness their capabilities effectively in the face of disruptions. Although there is vast literature on supply chain disruption management, risk management, and resilience, we are not aware of any theory that comprehensively explains the decision-making process for managing disruptions. We argue that coping theory can explain how organizations may channelize resources based on two stages of appraisal to handle long- and short-term disruptions. Borrowing from psychology, we adapt coping theory to disruption management for any organization in any industry. In this paper, we demonstrate how supply chain coping strategies may explain outcomes of several organizations from different industries during the COVID-19 pandemic. We argue that organizations may sustain and even thrive if they adopt the right coping strategies in their context. We present our thesis using the following three themes: (1) We first identify potential demand trajectories organizations may follow during and after the pandemic, (2) We explain how coping strategies adopted by organizations may impact these trajectories, and (3) We present a framework to help the decision makers understand potential positive impact the coping strategies may bring to their organizations in future crises.

Cloud adoption in Indian SMEs – an empirical analysis

Purpose

This study aims to empirically validate the determinants of cloud adoption in small and medium enterprises (SMEs) in India and examine its impact on their economic performance.

Design/methodology/approach

An integrated theoretical model interplaying technological, organizational and environmental aspects were applied for analyzing the variation in factors. Using data from 317 Indian SMEs, we have applied confirmatory factor analysis and structural equation modeling to test the hypotheses.

Findings

The results demonstrated that perceived usefulness, perceived ease of use, technology readiness, top management support and trust were the influencing drivers of cloud adoption in SMEs in India. Compared to previous studies, we did not find compatibility and competitive pressure as significant, suggesting that there was no single set of factors influencing technology adoption. Economic performance achieved by reduced transaction costs formed the basis of favorable adoption.

Research limitations/implications

The integrated model can provide space for new dimensions based on the category and geography of the SMEs. The paper does not address the supply-chain perspective of cloud adoption.

Practical implications

The study directs the firm owners to visualize business logic by creating a digital ecosystem. Further, the model guides the stakeholders, including cloud service providers, to contribute to the economic proficiency of the SMEs.

Originality/value

The paper empirically validates a model integrating both the drivers and consequences of cloud computing adoption as a unique study. Findings indicate that the usage of metrics such as return on investment and system efficiency form a part of the technology system approach.

An analysis of drivers for the adoption of integrated sustainable-green-lean-six sigma-agile manufacturing system (ISGLSAMS) in Indian manufacturing industries

Purpose

Scarcity of resources and ever-changing customer demand has driven the manufacturing organization to opt for an integrated sustainable-green-lean-six sigma-agile manufacturing system (ISGLSAMS). The purpose of this study is to identify and rank the various drivers for the adoption of ISGLSAMS for the more sustainable development of the industries.

Design/methodology/approach

Using a survey questionnaire, data were collected for the 14 ISGLSAMS drivers, identified through the literature review, from 108 Indian manufacturing industries. The sign test is used to check the relevance and significance of drivers. ISGLSAMS drivers are ranked based on the median and standard deviation. A multiple regression model was employed to investigate the effects of other drivers on the highest-ranked driver to strengthen the understanding of the drivers.

Findings

Competition, customer demand, technological changes, supply chain pressure, cost benefits, incentives, top management commitment and future legislation are found the strongest drivers for ISGLSAMS. For administering the competition for ISGLSAMS policymakers must focus on the availability of organization resources, customer demand, future legislation, incentives, supply chain pressure and technological developments.

Practical implications

The study contributes to a better understanding of ISGLSAMS drivers. Through this study government, stakeholders and policymakers may plan the policy, roadmap and strategies to drive the manufacturing organizations for the adoption of ISGLSAMS for more sustainable development of industries in India.

Originality/value

This work contributes to the identification and prioritization of the drivers for the more sustainable manufacturing system, i.e. ISGLSAMS (7 Rs based, i.e. 6 Rs of sustainability with 7th R, reconfiguration). The research also contributes to the (1) ISGLSAMS literature (2) the awareness and demand of (a) ISGLSAMS (b) reconfigurable, sustainable and modular products (c) redesign, recovery and refurbishing of the product to increase the product life cycle.

A review of reverse logistics and closed-loop supply chains in the perspective of circular economy

Purpose

This paper presents a systematic literature review of the various aspects of reverse logistics (RL) and closed-loop supply chains (CLSC) in implementing and achieving circular economy (CE) motives. CE is identified as a method of embracing imperishability into the economic structure, helping shift from a linear to a condition leading to ecological and social benefits.

Design/methodology/approach

Systematic literature was used to review a total of 80 peer-reviewed articles are included in the study and covers different concepts related to the implementation of CE, such as cost-saving, network design, sustainable RL, waste management and extended producer responsibility.

Findings

The findings reveal that the research in the domain is in a growing phase, and in recent years, a lot of attention has been given by researchers across the globe. However, further research is required in crucial areas for the adoption of CE, such as retail reverse logistics, pharmaceutical industries and resource recycling industry.

Practical implications

The study discusses the business needs and solutions for industries. Key enablers and barriers are listed along with the main activities involved in each sector in CLSC. Managers can design a pathway to decide which lever to use to overcome a particular challenge.

Originality/value

The work contributes theoretically by developing research themes in RL and CLSC practices applied to CE. It also provides theoretical and practical implications of the study, which can be used as a signboard for further research.

Benchmarking ISO Risk Management Systems to Assess Efficacy and Help Identify Hidden Organizational Risk

The overall aim of this article is to contribute to the further development of the area of benchmarking in risk management. The article introduces a two-step benchmarking model to assess the efficacy of ISO risk management systems. It furthermore aims at verifying its usefulness in terms of finding hidden risk issues and improvement opportunities. The existence of all key elements of an ISO 31000-based risk management system is examined at the beginning of this study. Then, the quality in terms of efficacy of important aspects of the risk management system is examined in more detail with special benchmarks. The application of the model to six ISO-certified organizations follows and reinforces the novelty of this study, which is to combine risk science knowledge with benchmarking theory in the application of ISO risk management standards in organizations. The results show that the benchmarking model developed in this study provides rigor when assessing and evaluating the efficacy of an ISO risk management system. By applying the model, risk issues and risk factors can be found that had not previously been identified. The findings are of importance for risk management, the benchmarking science, and for the development of ISO risk management standards.

How do the technological capability and strategic flexibility of an organization impact its successful implementation of Industry 4.0? A qualitative viewpoint

Purpose

Industry 4.0 (I 4.0) consists of numerous digital technologies applied in organizations strategically to add value to the customer. Different organizations have varying degrees of technological capability and strategic flexibility. This paper aims to explore the relationship between technological capability and strategic flexibility on successful implementation of I 4.0.

Design/methodology/approach

A qualitative study using a grounded theory approach is conducted on 34 senior managers from Europe and North America who have implemented I 4.0 participated in this study through a theoretical sampling frame.

Findings

This study finds that technological capability and strategic flexibility have an impact on the successful implementation of I 4.0. The study also finds that different dimensions of technological capability also impact I 4.0. The interactive effect of strategic flexibility and technological capability is also noted. The study also develops a framework for successful implementation of I 4.0.

Practical implications

This study can be used by managers while implementing I 4.0 to devise a strategic roadmap for acquiring technological capability with I 4.0 technologies. Besides, it will help the managers to consider the bidirectional relationship between technological capability and strategic flexibility while formulating I 4.0 strategy for successful implementation of I 4.0 in their organizations.

Originality/value

Previous studies have examined the importance of I 4.0 technologies. However, this study extends the previous works by suggesting how technological capability and strategic flexibility can help in the successful implementation of I 4.0.

Do sustainability committee characteristics affect CSR performance? Evidence from India

Purpose

This study aimed to investigate the effect of sustainability committee (SC) characteristics (size, independence, the number of meetings, and expertise) on corporate social responsibility (CSR) performance in the Indian context.

Design/methodology/approach

This research measures the CSR performance of 60 Indian non-financial firms listed on the Bombay Stock Exchange (BSE) over the period 2014 to 2019 using the ASSET4 environmental, social, and governance database. The authors resorted to fixed-effect panel regressions to capture the individual effect present in the data.

Findings

The results show that CSR performance is positively and significantly influenced by SC independence, size, and expertise. However, the number of SC meetings does not affect CSR performance. The results also demonstrate that CSR performance is positively and significantly associated with board independence.

Research limitations/implications

This paper adds to the existing literature by examining the effect of SC characteristics on the firms' CSR performance in India as one of the oldest stock markets in the world, which would help test the validity of the agency and stakeholder theories in an old and big emerging market context.

Practical implications

The findings allow managers to understand the mechanisms affecting CSR performance and how the characteristics of the SC can participate in its growth and development. Moreover, this study has implications for researchers, suggesting that future CSR studies should take into account the SC characteristics as potential determinants that explain CSR, such as CSR activities and CSR practices and strategies.

Originality/value

The present research contributes to the literature by investigating the effect of SC characteristics on the firms' CSR performance, thereby providing additional evidence on the issue. Several previous studies have examined the link between corporate governance and CSR performance with a focus on external oversight mechanisms, namely institutional ownership or analyst coverage or internal oversight mechanisms, such as board gender composition, board independence, separation of board Chairperson and CEO roles, and the existence of SC on the board, but these studies did not examine the SC characteristics. The present research fills the gap.

A fuzzy-based competitiveness assessment tool for construction SMEs

Purpose

In highly competitive industries such as the construction sector, companies with limited capabilities struggle to maintain their current standing, let alone acquire more market share. Before they are able to address their shortcomings, these companies need to pinpoint where their performance stands when it comes to market demand. Furthermore, competitiveness is strongly linked with companies' ability to win tenders and deliver the associated construction projects. Tenders are, therefore, a mechanism that reflects the strengths and weaknesses of construction firms and can be deemed an indicator of competitiveness. This paper aims to help small and medium-sized enterprises (SMEs) increase their presence in the construction sector by suggesting a systematic approach to evaluate their competitiveness.

Design/methodology/approach

Participation requirements were extracted from 11 calls for tenders and organized into categories using a qualitative content analysis. These requirements along with winning assets deduced from the literature constitute the basis of the tool. The qualitative evaluation of the difficulty in satisfying requirements or acquiring assets was transformed into unified, quantifiable scores by means of fuzzy numbers.

Findings

A total of 233 requirements were found and classified in 3 main categories. In addition, a list of 54 assets organized into five categories was compiled. The entire methodology led to a five-step assessment tool whose output can be depicted on the proposed competitiveness readiness matrix (CRM).

Research limitations/implications

This study contributes to the limited number of articles discussing the contractor's side in the tendering process. Furthermore, it combines three theoretical perspectives (i.e. resource-based view, relational view, and industry structure perspective), which are scarcely applied in the construction management field. Consideration of the calls for tenders when developing solutions is also a unique aspect of this research when compared to previous studies.

Practical implications

This tool may help practitioners navigate the rather elusive tendering process by outlining the necessary elements to participate in and win tenders. It may also allow construction firms to better position themselves in the market with respect to customers' requirements and competitors' performances.

Originality/value

This study provides an approach of both self-assessment and market benchmarking. It assists companies in formulating strategies to become more competitive in general and make better bidding decisions. This is especially interesting because of three aspects: the study is based on a fundamental element of the construction competitiveness concept, i.e. calls for tenders; it offers a mechanism to transform systematically qualitative attributes into quantifiable scores; and it provides a practical and reliable display of the assessment results.

Total quality leadership and organizational innovativeness: the role of social capital development in American schools

Purpose

The purpose of this study is to explore the relationship between total quality leadership, social capital development and organizational innovativeness in the school environment. While there are research studies focused on the impact of leadership on implementing quality management practices, innovation and organizational performance, the mediating effect of social capital development has not been explored on the influence of the school leaders.

Design/methodology/approach

To achieve the purpose of this study, data collected from 158 principals, who participated in the Teaching and Learning International Survey 2018, were analyzed using structural equation modeling.

Findings

This study found that total quality learning-oriented school leaders are supportive of developing social capital in their schools, and such social capital development is very useful to improve organizational innovativeness. Interestingly, social capital development has been found to mediate the relationship between total quality learning-oriented school leadership and organizational innovativeness.

Practical implications

This study submits evidence for two major activities that school leaders perform: learning- and control-oriented activities, both being important for improving and measuring quality in the educational sector. This study clearly shows that control-oriented activities lean toward negatively on social capital while learning-oriented activities strongly and positively influence social capital development. From this study, practitioners can be aware and consciously promote social capital development in schools and that social capital development mediates the influence of total quality leadership and innovation in schools.

Originality/value

Schools can be visualized as guarded communities for creating a secure environment for students in support of learning. This research study shows that the combined cognitive capital, structural capital and relational capital mediate the impacts of total quality leadership on innovativeness in schools. Thus, school leaders should first establish a mechanism to develop social capital among their employees to bring up innovative initiatives.

Benchmarking Industry 4.0 readiness evaluation using fuzzy approaches

Purpose

The purpose is to assess Industry 4.0 (I4.0) readiness index using fuzzy logic and multi-grade fuzzy approaches in an automotive component manufacturing organization.

Design/methodology/approach

I4.0 implies fourth industrial revolution that necessitates vital challenges to be dealt with. In this viewpoint, this article presents the evaluation of I4.0 Readiness Index. The evaluation includes two levels with appropriate criteria and factors. Fuzzy logic approach is used for assessment. Furthermore, the results obtained from fuzzy logic have been benchmarked with multi-grade fuzzy approach.

Findings

The proposed assessment model has successfully utilized fuzzy logic approach for assessment of I4.0 readiness index of automotive component manufacturing organization. Based on fuzzy logic approach, readiness index of I4.0 has been found to be (4.74, 6.26, 7.80) which is further benchmarked using multi-grade fuzzy approach. Industry 4.0 readiness index obtained from multi-grade fuzzy approach is 6.258 and thus, validated. Furthermore, 20 weaker areas have been identified and improvement suggestions are provided.

Research limitations/implications

The assessment module include two levels (Six Criteria and 50 Factors). The assessment model could be expanded based on advancements in industrial developments. Therefore, future researchers could utilize findings of the readiness model to further develop multi-level assessment module for Industry 4.0 readiness in organization. The developed readiness model helped researchers in understanding the methodology to assess I4.0 readiness of organization.

Practical implications

The model has been tested with reference to automotive component manufacturing organization and hence the inferences derived have practical relevance. Furthermore, the benchmarking strategy adopted in the present study is simple to understand that makes the model unique and could be applied to other organizations. The results obtained from the study reveal that fuzzy logic-based readiness model is efficient to assess I4.0 readiness of industry.

Originality/value

The development of model for I4.0 readiness assessment and further analysis is the original contribution of the authors. The developed fuzzy logic based I4.0 readiness model indicated the readiness level of an organization using I4RI. Also, the model provided weaker areas based on FPII values which is essential to improve the readiness of organization that already began with the adoption of I4.0 concepts. Further modification in the readiness model would help in enhancing I4.0 readiness of organization. Moreover, the benchmarking strategy adopted in the study i.e. MGF would help to validate the computed I4.0 readiness.