Green supply chain management: theoretical framework and further research directions

Role of technological dimensions of green supply chain management practices on firm performance

Purpose

The research study aims to investigate green supply chain management (GSCM) elements as part of a complete system. It aims to understand the special properties of the GSCM system under the moderating effects of product complexity and purchasing structure.

Design/methodology/approach

A thorough literature review led to the building of the conceptual framework. Six constructs were identified using systems theory. These constructs include green supply chain technological dimensions (particularly, Artificial Intelligence (AI) based), green supply chain strategy, green supply chain process, product complexity, purchasing structure, and firm performance. The instrument was scientifically developed for gathering survey responses using complete design test methods. The conceptual model was eventually tested based on survey data collected from 250 automotive components and allied manufacturers in the emerging economy of South Africa.

Findings

The results indicate that GSCM technological dimensions (AI-based) positively influence GSCM strategy. Further, GSCM strategy was found to positively influence the GSCM process. The GSCM processes have significant effects on environmental performance, social performance, and financial performance. The product complexity has a significant moderation effect on the paths GSCM strategy and GSCM process.

Originality/value

The findings from multivariate data analysis provide a better understanding of GSCM system dynamics and are helpful to key decision-makers. This unique model has elevated GSCM theory to a new level. There are limited studies available in the existing GSCM literature using systems theory. This study will offer an advanced/comprehensive understanding to readers in this relatively new concept.

Influence of big data and predictive analytics and social capital on performance of humanitarian supply chain

Purpose

The purpose of this paper is threefold: first, to investigate the role of big data and predictive analytics (BDPA) and social capital on the performance of humanitarian supply chains (HSCs); second, to explore the different performance measurement frameworks and develop a conceptual model for an HSC context that can be used by humanitarian organizations; and third, to provide insights for future research direction.

Design/methodology/approach

After a detailed review of relevant literature, grounded in resource-based view and social capital theory, the paper proposes a conceptual model that depicts the influence of BDPA and social capital on the performance of an HSC.

Findings

The study deliberates that BDPA as a capability improves the effectiveness of humanitarian missions to achieve its goals. It uncovers the fact that social capital binds people, organization or a country to form a network and has a critical role in the form of monetary or non-monetary support in disaster management. Further, it argues that social capital combined with BDPA capability can result in a better HSC performance.

Research limitations/implications

The proposed model integrating BDPA and social capital for HSC performance is conceptual and it needs to be empirically validated.

Practical implications

Organizations and practitioners may use this framework by mobilizing social capital, BDPA to enhance their abilities to help victims of calamities.

Social implications

Findings from study can help improve coordination among different stakeholders in HSC, effectiveness of humanitarian operations, which means lives saved and faster reconstruction process after disaster. Second, by implementing performance measurements framework recommended by study, donors and other stakeholders will get much desired transparency at each stage of HSCs.

Originality/value

The findings contribute to the missing link of social capital and BDPA to the existing performance of HSC literature, finally leading to a better HSC performance.

Barriers and opportunities to greening the construction supply chain management

Purpose

The purpose of this paper is to investigate critical barriers hindering the adoption of green supply chain management (GSCM) and the opportunities that can be exploited with such an implementation in the construction industry of developing countries. It also devises strategies to avoid critical barriers in implementation and exploit opportunities for a better overall environmental performance of the construction industry.

Design/methodology/approach

This research relies upon an extensive literature review; data are collected from 163 professionals and 15 interviews of field professionals from 11 developing countries are conducted. The barriers and opportunities are synthesized through literature review and then data are collected over their significance from the construction professionals through an online survey. To highlight the interconnectedness of the critical barriers and opportunities, a causal loop framework is developed. Furthermore, expert opinion is sought to develop the strategies.

Findings

This research integrates information from different sources and provides a holistic view of the current situation of GSCM in developing countries. In total, 34 barriers and 23 opportunities are extracted from literature. The top 4 barriers fall under the “involvement and support” category, whereas the top four opportunities fall under the “environmental” category. Furthermore, the strategies to implement GSCM include suitable policies by top management to incorporate practices such as innovative green design, green procurement, green packaging, green distribution and even end-of-life management, which play a vital role in emission reduction.

Originality/value

This research is a first attempt at evaluating the barriers and opportunities facing GSCM in the construction sector of the developing countries. The findings encourage the stakeholders in adopting GSCM practices by presenting a clear picture of the potential benefits that can be exploited by implementing the proposed strategies to eliminate critical barriers in the construction industry.

Social and financial aid for disaster relief operations using CSR and crowdfunding

Purpose

The purpose of this paper is to understand the interlinkages between corporate social responsibility (CSR) and crowdfunding in the context of disaster relief operations (DRO). It intends to explore how information quality moderates the relationship of CSR and crowdfunding to achieve financial and social stability. The study also controls variables such as type of disaster, size of the firm and sector to which the firms belong while drawing implications.

Design/methodology/approach

The study collects empirical data in an Indian context through a structured questionnaire. The respondents belong to organizations which made a financial contribution toward DRO during the past decade (2008–2018). The sample size for data analysis is 232 responses belonging to different industries like plastic, chemical, textile and apparel, automotive parts and electronics, and construction. The study employs partial least squares structural equation modeling for testing the hypothesis.

Findings

Results indicate a positive effect of CSR activities on donation-based crowdfunding to achieve financial and social normalcy in a DRO. CSR can thus be used as an alternate way to support DRO. Results also reveal that quality of information positively impacts the relationship between crowdfunding and social aid as well as financial aid offered to the victims of the disasters. It is further observed that the type of disaster accounts for the inflow and frequency of funds made by companies as a part of their CSR activities.

Research limitations/implications

The study restricts its analysis to CSR contributions made by Indian firms for DRO in an Indian context. While the study is centered in an Indian context, it holds strong implications by offering guidelines and framework for integrating funds of the government, CSR contributions of companies and donations made by citizens. The outcome also provokes thoughts on testing the results with multiple disasters across the globe in order to validate the findings and possibly extend them.

Originality/value

The approach of the study holds a unique slot in understanding concepts relating to CSR, crowdfunding and information science literature in the context of DRO. The study offers unique contribution in making the readers aware how CSR funds, when guided through a donation-based crowdfunding platform can help achieve social and financial aid for the victims of natural disaster.

Developing integrated framework to measure performance of green supply chain management

Purpose

The purpose of this paper is to explore green supply chain management (GSCM) performance measures and to develop a framework for evaluating the impact of GSCM implementation on organizational performance.

Design/methodology/approach

This research develops a performance measurement framework by integrating GSCM enabler with GSCM performance measures criteria. These criteria are selected from literature review and expert opinion. This study proposes a fuzzy balanced scorecard – fuzzy technique for order preference by similarity to ideal solution-based methodology to evaluate the overall organizational performance. The empirical case study of an Indian automobile organization is conducted. Further, the proposed framework is tested with three Indian Automobile organizations and their results are compared with the case organization.

Findings

The integrated methodology offers an effective way to measure and benchmark the impact of the proposed GSCM performance measurement framework. The empirical results show that the output of the proposed model is consistent. Thus, the study contributes to the advancement of knowledge toward GSCM and its management for sustainability.

Research limitations/implications

This study is limited to the automotive sector; hence the outcomes may not be comprehensively applicable across different sectors. The results cannot be applied to other sectors with other product and process specificities.

Practical implications

It helps the practitioners to measure and improve the effectiveness of GSCM implementation.

Originality/value

This study is the generalized performance measurement framework and can be used to measure the performance for any type of organizations to benchmark one organization with the other or the group of organizations.

The effect of motivators, supply, and lean management on sustainable supply chain management practices and performance

Purpose

The purpose of this paper is to conceptualize a model for sustainable supply chain management (SSCM) that integrates the antecedents, practices and performance measures of sustainability. It also examines if lean management (LM) and supply management (SM) are antecedents of SSCM.

Design/methodology/approach

A systematic review of literature was undertaken across multiple streams, including operations management, SCM, sustainability, business ethics and performance management. Articles relevant to SSCM published over a span of 31 years (1988–2018) were searched using keywords and specific selection criteria.

Findings

From the literature, three dependent constructs – motivators of sustainability, LM and SM – and three independent constructs – environmental practices in SCM, social practices in SCM and SSCM performance – are identified and defined. Linkages between these constructs are hypothesized to develop a theoretical framework called the “integrated lean/supply management with sustainability motivators, practices and performance model.”

Research limitations/implications

Built on the principles-practices-outcomes framework proposed earlier, this model is comprehensive in its coverage of sustainability antecedents, practices and performance. Further, it covers the SCM triad – the supplier, the focal firm and the customers – as well as the roles they play in sustainability performance.

Originality/value

By identifying LM and SM as additional antecedents of SSCM, this study suggests that sustainability may be realized through LM and SM principles. Further, the proposed model presents a novel integration of literature from diverse domains.

S, Dutta P. Modelling the readiness factors for agility in healthcare organization: a TISM approach

Purpose

The purpose of this paper is to identify and analyze the interactions among different readiness factors for implementing agility in healthcare organization. Total interpretive structural modeling (TISM) based readiness framework for agility has been developed to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors.

Design/methodology/approach

The identification of factors is done by TISM approach used for analyzing the mutual interactions between factors. Cross-impact matrix multiplication applied to classification analysis is utilized to find the driving and dependent factors of agile readiness in healthcare.

Findings

This paper identifies 12 factors of readiness for change in literature review, which is followed by an expert interview to understand the interconnection of factors and to study interrelationships of factors. The study suggests that factors like environmental scanning, resource availability, innovativeness, cost effectiveness, organizational leadership, training and development are important for implementing/improving the readiness of agility in healthcare organizations.

Research limitations/implications

This research focuses mainly on readiness factors for agility in healthcare sector.

Practical implications

Top management must stress on readiness factors that have a strong driving power for efficient implementation of agility in healthcare. This study helps the managers to take quick decisions, and continuous monitoring of readiness factors would be more beneficial to improve the quality of service, which makes the organization more agile.

Originality/value

In this research, TISM-based readiness for agile framework structural model has been proposed for healthcare organizations, which is a new effort for implementation of agility in healthcare.

The impact of firm size, firm age and environmental management certification on the relationship between green supply chain practices and corporate performance

Purpose

The purpose of this paper is to explore if control variables have any impact on corporate performance when implementing green supply chain management practices. The research in particular examines the impact of firm size, firm age and possession of environmental management system (EMS) certification as control variables on different dimensions of the corporate performance.

Design/methodology/approach

The research design consists of a comprehensive literature review, followed by an empirical questionnaire based survey with responses of 117 participant organizations proceeded by a comprehensive statistical analysis to validate the developed theoretical framework and contribute to both practical and methodological approach. This study investigates the impact of each of these three control variables on four dimensions of corporate performance using multiple regression analysis.

Findings

The research found that there is positive relationship between firm size and environmental performance, economic performance and social performance but not with operational performance. The study also found that a certified EMS within UAE firms is having a positive impact on all four performance dimensions while firm age does not have any relationship with any of the four performance outcomes.

Research limitations/implications

The research provides guidance for supply chain managers in the UAE and other similar emerging market in order to better understand the relationship between control variables, impact and performance, on corporate outcome. The paper also describes relevant strategies that should be taken into consideration by these managers in order to build their sustainable supply chain. The research contributes to social dimensions of supply chain sustainability on how resilient green strategies are important for supply chain stakeholders during uncertain conditions so that it can respond to uncertain changes in order to contribute to corporate social responsibility. Some of the limitations of this research include the geographic coverage of the study region and other methodological limitation.

Originality/value

This research is the first of its kind in the UAE region to assess the link between firm control variables and its impact on green supply chain management practices; which are less studied in the green supply chain literature. While there might be few other studies that addressed and uncovered the relationship between implementing green supply chain management practices and corporate performance, however, no study has attempted to find out if firm size, firm age and possession of EMS would have any impact on the green supply chain practices and corporate performance relationship. The research was conducted in an emerging economy to understand the relationship better. A series of recommendations are also provided for firms interested in improving their environmental performance while implementing green supply chain practices.

Sustainable Supply Chain Management in the Automotive Industry: A Process-Oriented Review

The holistic shift from traditional supply chain to sustainable supply chain has been practiced in different industries for many years. The automotive industry, as one of the largest and most influential industries in the world, could have a substantial effect on the movement toward a sustainable society. Despite the growing body of literature in the field of sustainable supply chain management, there is no review article that comprehensively synthesizes the state-of-the-art research in the automotive industry. To cover this gap, this paper reviews the sustainable supply chain management literature in the automotive industry published between 1995 and 2017. A systematic review and content analysis were conducted to collect the studies and analyze their content. The content analysis was structured based upon a set of key business processes following the Integration Definition Function (IDEF0) method, which is a structured approach of analyzing business processes. The study provides a practical guideline for designing a sustainable automotive supply chain and culminates with the outlined research gaps and recommendations for future research.

Information-based quality management in reverse logistics supply chain

Purpose

The purpose of this paper is to explore the synergies among reverse logistics supply chain (RLSC), quality management (QM) and information management (IM) concepts to enhance the effectiveness of demolition waste management (DWM) practices.

Design/methodology/approach

A systematic literature review was conducted using 70 articles published between the years of 2006 and 2017, which were subjected to descriptive and thematic analysis.

Findings

The descriptive analysis established that the RLSC concept was dealt within the majority of the publications (61 per cent), followed by concepts related to quality in RLSC (24 per cent). Only 14 per cent of the articles were based on IM concepts related to RLSC. Quality and information are interrelated in the effective implementation of RLSC. The thematic analysis demonstrated that there is a need for using quality parameters in a regulatory environment in an information-based environment. Based on the findings, future research directions were developed.

Research limitations/implications

The study encourages researchers to identify novel directions by combining these three concepts. The study developed a future research agenda regarding use of building information modelling (BIM) for existing buildings under novel technologies; analysis of secondary market demand and supply; and assessment of cost and safety management with quality in a BIM-enabled environment.

Practical implications

The practical implications include the application of sustainable management principles based on stakeholders and the regulatory environment.

Originality/value

Integration of the three concepts is an emerging area. This integration developed a robust approach to achieve QM in RLSC operations under a sound information flow enabling the optimisation of DWM.

Skill development research in India: a systematic literature review and future research agenda

Purpose

The purpose of this paper is to conduct an in-depth analysis of the literature and provide new insights on skill development research in India. Objectives in the study are twofold. First is to conduct descriptive analysis in terms of structural dimensions such as geographical context, focus on skill development, research methods, economic sector, type of training and origin of the study. The second objective is to conduct thematic analysis on importance of skill development, institutional and regulatory mechanisms, skill development as an antecedent for technology adoption, role of skill development in women empowerment, integrating skill development with secondary education and labour market reforms for skill development.

Design/methodology/approach

Systematic literature review method is employed to review 45 articles on skill development research in India conducted between 2004 and 2017.

Findings

The review discusses about the importance of skill development, the role of institutions such as NSDA and PMKVJ, skill development as a necessity in the advent of technological changes, an effective measure to empower women in the country and the need of integrating skill development with secondary education. Labour market reforms are required to overcome challenges such as mismatch between theory and practice, low quality of skills assimilated, the mismatch between demand and supply of skilled labour force, low level of in-house training, low cooperation from students and employees due to lack of incentives and lack of qualified teachers.

Originality/value

This study is the first to offer a systematic literature review on skill development. The study provides insights into the concept of skill development, specifically for academicians to carry out research in a niche area and for government authorities in policy formulation.

Industry 4.0 − challenges to implement circular economy

Purpose

The purpose of this paper is to identify the Industry 4.0 barriers to achieve circular economy (CE). The study focuses on exploring the link between Industry 4.0 and CE. This leads to the implementation of integrated Industry 4.0-CE and attainment of sustainable production and consumption through analyzing the technological benefits of Industry 4.0.

Design/methodology/approach

Industry 4.0 barriers are identified from literature review and discussions with industry experts. Here, the interpretive structural modeling (ISM) technique is applied to develop the contextual relationship among the barriers and to identify the prominent barriers hindering the CE implementation.

Findings

The ISM hierarchical model and Matriced’ impacts croised-multiplication applique’ and classment analysis illustrate that the digitalization process and the semantic interoperability possess high driving power and low dependence. These barriers require keen attention to play a significant role in improving resource efficiency and sustainability, and absence of these barriers may not drive other barriers for CE. Apart from these barriers, cyber-physical systems standards and specifications, sensor technology and design challenges are also the most influential Industry 4.0 barriers for achieving CE.

Practical implications

The findings provide an opportunity for industry practitioners to explore the most driving Industry 4.0 barriers. The study confirms that integrated Industry 4.0-CE will maintain sustainable operations management by optimizing the production and consumption patterns. It will also provide an opportunity of customization where customers and products interact and can monitor the performance of the operations through the Internet of Things sensors.

Originality/value

The study provides integration of Industry 4.0 challenges to implement CE. However, the integration of the two burgeoning fields is still very scarce and lacks in adopting the technological benefits of the integrated Industry 4.0-CE.

An integral GSCM index for assessment of environmental performance in manufacturing companies

Purpose

From the green supply chain management (GSCM) approach, the purpose of this paper is to propose a green index as a benchmarking tool to assess environmental performance in manufacturing companies. The index involves 10 green practices and 46 performance dimensions, which were identified by way of an exhaustive literature review.

Design/methodology/approach

The GSCM index was designed as follows: survey design; experts group selection; relationship identification and green practice weighting (DEMATEL method); and GSCM index construction. The proposed GSCM index was validated at a set of ten Colombian manufacturing companies, which belong to different industrial subsectors.

Findings

The structural relationships between both green practices and performance dimensions (cause group vs effect group) were determined. Consequently, a set of green practices and performance dimensions on which managers must focus their environmental efforts (cause group), in order to positively affect the system as a whole, was identified. The environmental performance of a set of manufacturing companies was established.

Practical implications

As a decision support tool, the GSCM index provides a baseline for the deployment of environmental improvement plans. It also permits the comparison of environmental performance between companies from different industrial sectors. Further, it can be used to monitor internal operations and collaboration programs in each echelon of the supply chain.

Originality/value

This publication contributes to the field of environmental performance measurement by introducing a new index, from the GSCM perspective. In contrast with the existing green indicators, the proposed index is the first to consider causal relationships between green practices and between their performance dimensions.

Identifying the best practices in green operations strategy of hospitals

Purpose

The purpose of this paper is to identify the best practices in the green operations strategy of hospitals.

Design/methodology/approach

A total of 25 cases from all over the world were investigated. The source of data was the annual sustainability reports that were retrieved from Global Reporting Initiative (GRI) database. The present research adopted the benchmarking method and the quantitative content analysis of sustainability reports. Then, the indicative models of best practices were developed by using two analysis approaches; within cluster analysis and across clusters analysis.

Findings

This study found four major taxonomies of green operation strategy in hospitals. The significant strategic groups were resources/waste management; electrical power management; non-hazardous waste management; and emissions/resources management. Indicative models for the relationship between actions and key green performance indicators were developed in the two stages of the analysis.

Originality/value

The best practices of green operations strategies in hospitals have not so far been investigated. Countries around the world should obey the new regulations for their environmental footprint; if they do, it will exert pressure on all sectors and organizations at all levels to take immediate steps to measure and improve their environmental performance.

A study on the influence of factors associated with organizational readiness for change in healthcare organizations using TISM

Purpose

The purpose of this paper is to identify, analyze and develop a model to measure the interactions among different factors of organizational readiness for change in service sector specific to healthcare organization. The total interpretive structural modeling (TISM)-based readiness for change is to build a theoretical framework to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors.

Design/methodology/approach

TISM is used to identify factors that contribute to analyze the readiness state before starting a change implementation process in healthcare. Matrice d’Impacts croises-multiplication applique´ a classement analysis is used to find the driving and dependent factors of change in healthcare.

Findings

This paper identified 12 factors of readiness for change from literature review followed by expert interview to understand the inner connection of factors and study inner relationships. The result says that state of affairs, recent trends in healthcare sector, technology advancement and interdependence among departments are key factors for readiness of change.

Research limitations/implications

This research mainly focused on readiness factors for change in the healthcare sector.

Practical implications

This study will be useful for researcher and practitioners to understand the readiness factors for change.

Originality/value

In this research work, TISM-based readiness for the change framework structural model has been proposed for healthcare organizations which is a new effort in the area of organizational change management in this sector.

Antecedents, mediators and consequences of sustainable operations

Purpose

The purpose of this paper is to propose a framework for analyzing the relationships between the antecedent factors, mediators and consequences of sustainable operations (SO), which can be applied for empirical studies in the manufacturing industry.

Design/methodology/approach

Based on the importance of identifying the determinants of SO, a qualitative and exploratory research was developed through an extensive review of the literature.

Findings

The main theoretical contribution of this research on organizational studies is the SO analysis proposition framework, which allows the elaboration of scales, based on observable variables of each factor, as well as evaluating the influence intensity of the relations between the constructs.

Research limitations/implications

The proposed framework of this research was developed to analyze companies of the manufacturing industry. In order to use the proposed framework in other industries (commerce, services), it will be necessary to make adaptations and adjustments on the observable variables and constructs.

Originality/value

The paper has an important theoretical value in proposing scales for the SO factors and can be useful for future quantitative approach and surveys. Consequently, the researcher will be able to evaluate the scales of the factors and the intensity of the relations between observable variables in the formation of the constructs, as well as the intensity of influence among the constructs.

Green information system integration for environmental performance in organizations

Purpose

The purpose of this paper is to develop an eccentric model to examine the factors that influence environmental performance in organizations based on belief–action–outcome framework and natural resource-based view theory.

Design/methodology/approach

Data were collected by employing online survey from respondents in organizations to statistically test the eccentric model and its associated hypotheses. Partial least squares–structural equation modeling and Statistical Package for Social Sciences were utilized to analyze the survey data.

Findings

The results show that information technology (IT) professionals and IT executives’ behavior positively influences environmental performance. Further results suggest that the belief of IT professionals and IT executives is significantly influenced by the action of IT infrastructure, institutional pressure, organizational strategy and information diffusion. In addition, results reveal that the action of IT infrastructure, institutional pressure, organizational strategy and information diffusion in organizations significantly has an impact on the outcome of environmental performance. Moreover, results indicate that green information systems (IS) for pollution prevention, product stewardship and clean development initiatives adopted positively influence the environmental performance of organizations.

Research limitations/implications

The developed eccentric model further shows how green IS practice integration can improve environmental performance. However, the selected respondents are from a single country as such findings from this study cannot be generalized to other countries.

Practical implications

Practically, this paper has implications for the capability of IS to promote environmental performance in organizations.

Social implications

This study provides a pertinent contribution in developing and validating an eccentric model for green IS adoption. Besides, a survey instrument is developed that can be used by future studies.

Originality/value

The developed model helps to explore the factors that influence environmental performance and also the outcomes of green IS adoption for environmental performance. Accordingly, IT professionals and IT executives can draw upon the eccentric model in assessing their current environmental-friendly practice for the effective initialization of green IS for corporate value.

Importance of innovation and flexibility in configuring supply network sustainability

Purpose

The alignment of procurement strategy with overall business strategy is important for superior firm performance. It is also essential for firms’ purchasing structure to fit the purchasing strategy whether it is cost reduction; value analysis and/or improving delivery and increasing flexibility for achieving superior purchasing performance. The purpose of this paper is to scientifically examine the influence of organization culture (OC), green supplier development (GSD), supplier relationship management, flexibility and innovation on sustainability in supply network (SSN) under the moderation effect of institutional pressures and resources availability.

Design/methodology/approach

The study is grounded by integrating institutional theory (IT) and resource-based view (RBV) theory. The study empirically tests the conceptual model through survey data gathered from 175 respondents in the KwaZulu-Natal province of Southern Africa using structural equation modeling which is a multivariate data analysis technique that permits to simultaneously examine many relationships among manifest and latent variables.

Findings

It was found that OC plays a crucial role in shaping the workforce behavior and responsible for enhancing GSDs and building good relationship with suppliers which ultimately results into increased flexibility and innovativeness. Coercive pressures (CPs) play a moderating role between the causal relationship of innovation and SSN. Therefore, CPs have got the ability to amplify or reverse the effect between innovation and SSNs.

Research limitations/implications

The study suffers from few limitations. First, the study is restricted to one particular province in South Africa. Second, cross-sectional data were used for testing of model in the research study.

Practical implications

The findings are of great importance for both the researchers and supply chain practitioners. Supply chain practitioners may use this knowledge for benchmarking the supply network configuration process and continuously improve the process. The tested model actually shows the mechanism for enhancing SSNs. In today’s dynamic and uncertain business environment, all firms in the supply network aims to minimize risks and maximize profitability. The findings show that CPs play a moderating effect on the relationship between innovation and SSN. Whenever government authorities and institutions pressurize firms for minimizing pollution levels, we see a trend of increased innovations in the form of new product developments, usage of eco-friendly raw material and application of eco-friendly technology which ultimately minimizes the carbon footprint. Through such initiatives steel and engineering firms conform to the government norms and regulations. However, innovations are possible through collaboration with specialist suppliers and sub-suppliers by adopting a common standard across the supply network. Through this overall process of innovation, the focal firm and sub-suppliers linked in the network will benefit and ultimately achieve a competitive edge. Therefore, firms can experience multiple benefits in terms of lower development costs, lower project cycle completion time, improvement in design for re-manufacturability, low downtime, low supply risks, reduction of greenhouse gas emissions and, ultimately, sustainable development.

Originality/value

The study is unique from dual perspective – both in terms of scope and contribution to supply chain management literature. First, the study integrates flexibility and innovation to study the impact on SSNs. Second, it integrates both IT and RBV theory of firm to test the moderation effect and the findings further opens up window for future research.

Performance modeling and benchmarking of green supply chain management

Purpose

Based on the existing literature in the field of green supply chain management (GSCM), the purpose of this paper is to find essential to conceptualize and develop an efficient appraisement platform for the purpose of benchmarking green alternative in supply chain network.

Design/methodology/approach

The authors explored multiple approaches, i.e. Višekriterijumsko kompromisno rangiranje (VIKOR), simple additive weighting (SAW) and grey relational analysis (GRA) by amalgamating fuzzy sets theory to select the most appropriate alternative for GSCM. The work is supported by triangular fuzzy number sets to choose the green alternative industry among available industries, while dealing with the uncertainty and vagueness in GSCM. A case study is exposed to identify strong and weak indices and to exhibit the feasibility of the proposed work.

Findings

It is requisite by the managers of many firms to identify the strong and weak indices relating their firms. Thus, the authors presented an approach for measuring and appraising the performance of the selected green alternative by determining the strong and weak indices. The presented work illustrates the performance measurement model that identifies comprehensive GSCM practices of the firms. The presented work incorporates green supply chain activities to support environmental sustainability throughout the supply chain.

Research limitations/implications

GSCM is necessary to the firms, as it considers impact onto the environment due to their supply chain activities. The authors build decision support system to facilitate the managers of various firms for modeling green practices in their decision making. The authors attempt to devise a conceptual framework linked with knowledge-based theory.

Originality/value

The authors conceptualized VIKOR, SAW and GRA methodology to rank and benchmark the green performance of distinguish alternative industries among available industries. Additionally, the performance measurement model for the selected significant green alternative is presented for determining the strong and weak indices.

Green supply chain management and the circular economy

Purpose

Green supply chain management (GSCM) and the circular economy (CE) overlap but also differ. The purpose of this paper is to clarify linkages between these two concepts. It identifies mutual theory applications used to study GSCM and CE.

Design/methodology/approach

A systematic literature review is conducted to identify theories from GSCM and CE studies. A critical analysis explores the theories that can provide mutual applications between GSCM and CE fields. Propositions are developed.

Findings

In all, 12 theories are applied in both GSCM and CE studies. Several theories are only applied in GSCM studies, but can help to advance CE study. These theories include complexity, transaction cost economics, agency, and information theories. Each of the eight theories only applied to CE can potentially advance GSCM study.

Research limitations/implications

The findings contribute to further theory development for both GSCM and CE study. A methodological review can advance theoretical development and cross-pollination in both fields.

Originality/value

This work is the first study to explicitly explore linkages of GSCM and CE from a theoretical perspective.

A study of e-Research and its relation with research data life cycle: a literature perspective

Purpose

The traditional means of pursuing research by having all the parameters and processes under one roof has given way to collaborative mechanisms of performing the same task. Collaborative work increases the quality of research and it is a big contributing factor to augment the growth of the scientific knowledge. This process leads to training of new and well-informed academicians and scientists. e-Research (Electronic Research) has gained significant amount of traction as technology serves as the backbone for undertaking collaborative research. The purpose of this paper is to provide a synoptic view of existing research surrounding e-Research and suggest a data lifecycle model that can improve the outcome of collaborative research.

Design/methodology/approach

Systematic literature review methodology has been employed to undertake this study. Using the outcome of the literature review and the analysis of the existing data lifecycle models, an improvised version of the data lifecycle model has been suggested.

Findings

This study has brought a conceptual model for data lifecycle for collaborative research. The literature review in the domain of e-Research has shown that the focus of these papers was on the following stages of data lifecycle model: concept and design, data collection, data processing, sharing and distribution of data and data analysis.

Research limitations/implications

In this paper, only journal papers have been considered and conference proceedings have not been included for literature review.

Originality/value

This paper suggests a conceptual model for the data lifecycle for collaborative research. This study can be useful for academic and research institutions to design their data lifecycle model.

Benchmarking the logistics management implementation using Delphi and fuzzy DEMATEL

Purpose

From last few decades, logistics management (LM) constitutes a global concern among organization’s supply chain (SC) to improve their business effectiveness. The purpose of this paper is to uncover and analyze the critical factors (CFs) related to the implementation of effective LM concept and benchmark the SC performance.

Design/methodology/approach

The most common (16) CFs were identified and selected through literature and use of the Delphi method. Subsequently, the selected most common CFs were analyzed to distinguish their causal relations using the fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) technique under unclear surroundings. A case example of Indian Logistics Company is also discussed to reveal the practical applicability of the research.

Findings

Provision of the effective information communication and technological developments in the system and Management dedication, support and involvement CFs are found to have the top most influences in the effective implementation of LM. This paper also groups the CFs into cause and effect relationship which provides valuable insights for analyzing the factors in successful implementation of LM.

Practical implications

This work attempts to understand the different CFs, their relative position and the importance rating in the system, due to which, managers can differentiate the factor which greatly affects the concepts of implementing LM, and thus, improvements can be made accordingly.

Originality/value

First, this work offers 16 CFs to LM implementation from a SC scenario. Second, in the context of contributing to the theory, the combined Delphi and fuzzy DEMATEL-based model is provided that helps in managing the logistic related issues effectively.

Benchmarking freight transportation corridors and routes with data envelopment analysis (DEA)

Purpose

The purpose of this paper is to collectively measure and compare the efficiency of Brazilian and American soybean transport corridors, from farmers to export ports, using the data envelopment analysis (DEA).

Design/methodology/approach

This paper aims to determine routes from main producing micro-regions to main export ports, specifically using slack-based measure and variables that represent the three pillars of sustainability (economic, social, and environmental). The choice of variables was guided by literature review and analyzed through the principal component analysis. After the application of the model, the quantitative tiebreaking method of the composite index is applied.

Findings

The findings are coherent with a global report that compares soybean transportation in both countries (Brazil and USA). Efficient routes and corridors tend to present short distance truck trips and long distance train or barge trips. The efficiency of the inland waterway trips depends on how many barges are used in the same expedition. Routes with more than three modes tend to be inefficient which suggest that there is a limit for multimodality.

Originality/value

Corridor benchmarking is a rare topic in the literature and previous works normally focus on some specific and limited corridor performance characteristics, such as cost. The main contribution of this research is that it expands the discussion regarding corridor benchmarking and it focuses on efficiency as a whole. The paper also proposes a method that can be applied in different logistics contexts, like expanding the study to different countries. More specifically, this method could be used in infrastructure investments programs.

Analysis of Carbon Emission Reduction in a Dual-Channel Supply Chain with Cap-And-Trade Regulation and Low-Carbon Preference

This paper focuses on the reduction of carbon emissions driven by cap-and-trade regulation and consumers’ low-carbon preference in a dual-channel supply chain. Under the low-carbon environment, we also discuss the pricing strategies and the profits for the supply chain members using the Stackelberg game model in two cases. In the first (second) case where the initial proportion of consumers who prefer the online direct channel (traditional retail channel) is “larger”, the direct sale price of low-carbon products could be set higher than (equal to) the wholesale price. And it is shown that in both cases, tighter cap-and-trade regulation and higher low-carbon preference stimulate the manufacturer to cut carbon emissions in its production process. However, improving consumers’ low-carbon preference is more acceptable to the supply chain members. It always benefits the manufacturer and the retailer. In comparison, the firm’s profit increases with carbon price only when the clean production level is relatively high. Our findings can provide useful managerial insights for policy-makers and firms in the development of low-carbon sustainability.