An investigation of the relationship between supply chain management practices (SCMP) on supply chain performance measurement (SCPM) of Indian retail chain using SEM

Determinants of competitive advantage through achieving pharmaceutical supply chain management capabilities in the Ethiopian healthcare sector

PURPOSE

These days, supply chain management (SCM) is essential to maintaining the long-term sustainability of the whole manufacturing ecosystem. This research examines the effects of competitive priorities (cost, quality, flexibility and delivery) on achieving success for the three key participants in SCM: suppliers, distributors and customers.

DESIGN/METHODOLOGY/APPROACH

Survey data from 258 workers in pharmaceutical businesses was utilized in an empirical study partial least squares structural equation modeling (PLS-SEM) was employed to examine whether supply chain capabilities (SCC) were influenced by competitive advantage (cost, quality, flexibility and delivery).

FINDINGS

The results of the investigation show a favorable correlation between competitive advantage in the Ethiopian pharmaceutical and medical supplier industry and SCC.

ORIGINALITY/VALUE

This study demonstrates the positive impacts of cost, quality, flexibility and delivery on suppliers, distributors and customers. Our findings suggest that pharmaceutical and medical suppliers prioritize achieving high-quality service before focusing on cost reduction.

Intertwining green SCM- and agile SCM-based decision-making framework for sustainability using GIVTFNs

Purpose

Supply chain management (SCM)-embedded valuable resources, such as capital, raw-materials, products, partners, customers and finished inventories, where the evaluation of environmental texture and flexibilities are needed to perceive sustainability. The present study aims to identify and evaluate the directory of green and agile (G-A) attributes based on decision support framework (DSF) for identifying dominating measures in SCM.

Design/methodology/approach

DSF is developed by exploiting generalized interval valued trapezoidal fuzzy numbers (GIVTFNs). Two technical approaches, i.e. degree of similarity approach (DSA) and distance approach (DA) under the extent boundaries of GIVTFNs, are implicated for data analytics and for recognizing constructive G-A measures based on comparative study for robust decision. A fuzzy-based performance indicator, i.e. fuzzy performance important index (FPII), is presented to enumerate the weak and strong G-A characteristics to manage knowledge risks in allied business environment.

Findings

The modeling is illustrated from the insights of decision-makers for augmenting business value based on cognitive identification of measures, where the best performance score is identified by the “sustainable packaging” under the traits of green supply chain management (GSCM). “The use of Web-based applications” under the traits of agile supply chain management (ASCM) and “Outsourcing flexibility” under traits of ASCM is found as the second and third most significant performance characteristics for business sustainability. Additionally, the “Reutilization (recycling) and reprocessing” under GSCM in manufacturing and “Responsiveness and speed toward customers needs” under ASCM are found difficult in attainment.

Research limitations/implications

The G-A evaluation will assist in attaining performance excellence in day-to-day operations and overall functioning. The outcomes will help executives to plan strategic objectives and attaining success.

Originality/value

To reinforce the capabilities of SCM, wide extent of G-A dimensions are presented, concept of FPII is reported to manage knowledge risks based on identification of strong attributes and two technical approaches, i.e. DSA and DA under GIVTFNs are presented for attaining robust decision and directing managerial decision-making process.

Substitution and complementarity dynamics in configurations of sustainable management practices

Purpose

Previous research tends to study various sustainable management practices (SMPs) in isolation, leading to inconsistent conclusions about the effect of SMP on firm profit. This research aims to advance the understanding of the linkage between SMP configurations and financial performance by revealing the dynamics of substitutions and complementarities among these SMPs.

Design/methodology/approach

The authors conducted an exploratory study based on the theoretical lens of the practice-based view (PBV). An integrated text-mining approach is used in gathering data from 302 corporate reports of cross-sectional firms, followed by a fuzzy-set qualitative comparative analysis method to examine the configurations of SMPs in achieving high and low financial performance.

Findings

The findings show that green innovation practices (GIP) and cleaner production practices work together as complements for small firms in configurations associated with high profits. However, large companies in high-competition industries often adopt a minimalist configuration focusing on product quality and safety management (PQSM). PQSM and GIP are complements in configuration for small firms in high-competition industries, while they work together as substitutes for small firms in low-competition industries.

Practical implications

This research provides managers with a new way of thinking to support decision-making in sustainable operations management. The complementary and substitutive view of management practice can guide operations managers to design and implement effective practice configurations to achieve synergistic effects.

Originality/value

This is among the first studies to reveal the complex relationship between various configurations of SMPs and firm performance. In addition, this research offers new insights into previously inconsistent findings from a PBV and configuration perspective.

Impact of sustainable supply chain management and customer relationship management on organizational performance

Purpose

This paper aims to assess the effect of sustainable supply chain management (SSCM) , competitive advantage (CA) and customer relationship management (CRM) on organizational performance (OP).

Design/methodology/approach

A self-administered questionnaire was employed in the present study as a research tool, consisting of 20 items. Information was gathered from 93 executives employed in the supply chain management (SCM) division of the multiple organizations in Chattogram, the commercial hub of Bangladesh and the findings of the research were evaluated using SMART PLS 3.0.

Findings

The findings supported the hypotheses that were formulated. The analysis shows that SSCM and CRM are significantly related to OP. The results show, however, a positive but insignificant relationship between CA and OP. In developing countries, SSCM and CA are more likely to be employed by businesses in order to accomplish OP. However, the relation between CRM and OP has been given comparatively less importance. It has been suggested that CRM, together with SSCM, should be considered in order to achieve OP.

Originality/value

Earlier study neglected to use the CRM in the measurement of OP along with CA and SSCM. This research seeks to emphasize the influence of CRM in the organization, together with SSCM. This lets companies understand the effect of SSCM and CRM in general since those companies must respond to consumer demands to product and industry developments and transfer appropriate resources to enhance manufacturing processes that combine technological and managerial efficiency.

Learning from failure to enhance performance: a systematic literature review of retail failure

Purpose

The objective of this paper is to develop a map of the contours of the phenomenon of retailer failure by aggregating, parsing and extracting known findings regarding business failure in marketing, business and other streams of inquiry to provide a comprehensive understanding of research on the topic. Defined as the converse of retailer performance, an understanding of retail failure is expected to yield insights for performance measurement and benchmarking studies.

Design/methodology/approach

The paper includes a systematic literature review, employing state-of-the-art tools such as VOSViewer.

Findings

The analysis reveals patterns in the intellectual structure of the research on retail failure, as well as patterns of influence. While the discipline of marketing has been surprisingly limited in the study of retail failure, study of retail failure has been pursued by other branches of the business discipline, and even some disciplines other than business.

Originality/value

This paper provides a comprehensive and systematic literature review on the topic of retail failure.

The impact of business intelligence on supply chain performance with emphasis on integration and agility–a mixed research approach

Purpose

The paper aims to explore how business intelligence (BI), integration and agility influence supply chain performance.

Design/methodology/approach

The study was performed by the exploratory sequential mixed method in two phases including meta-synthesis as a qualitative method and survey as a quantitative method. Data were collected through a survey of 369 Iranian companies across various industries. Structural equation modeling was used to test hypotheses.

Findings

The results show that BI, integration and agility play an important role in achieving better supply chain performance. In the meantime, BI has the greatest impact on supply chain performance. Additionally, BI has a positive and significant effect on the integration and agility of the supply chain. The study also found that integration has a direct effect on supply chain agility.

Originality/value

To the best of the authors' knowledge, the paper theoretically and empirically presents a new conceptual model of the relationship between BI, integration, agility and supply chain performance. The study helps researchers and practitioners to achieve insights into supply chain performance improvement.

Understanding dynamic distribution capabilities to enhance supply chain performance: a dynamic capability view

Purpose

The purpose of this paper is to evaluate and understand the factors that contribute to the enhancement in the process of supply chain activities, specifically among manufacturing industries.

Design/methodology/approach

This paper follows the quantitative approach by disseminating a structured questionnaire to supply chain practitioners working in manufacturing industries. A sample of 109 responses is gathered from senior employees involved in sales and operations planning. Exploratory and confirmatory factor analyses are performed to evaluate the reliability and validity of the model. Lastly, SmartPLS is used to test the hypotheses proposed in the study.

Findings

The findings revealed that demand sensing and managing practices positively impact supply chain performance by creating dynamic distribution capabilities. It is observed that distribution capabilities integrate both efficient and effective handling of resources. However, demand management practice has insignificant relationship with supply chain performance.

Research limitations/implications

The authors suggest that supply chain management must expand in firms, and importance must be given as supply chain performance can provide competitive advantage in order to sustain in today's competitive market.

Practical implications

The findings can help decision-makers working in the planning process by identifying the right tools to sense the market and react accordingly.

Originality/value

This paper is an initial effort to understand the dynamic distribution capabilities by establishing the link with the studied variables, especially in the manufacturing industries in Pakistan.

Understanding big data-driven supply chain and performance measures for customer satisfaction

Purpose

Supply chain analytics with big data capability are now growing to the next frontier in transforming the supply chain. However, very few studies have identified its different dimensions and overall effects on supply chain performance measures and customer satisfaction. The aim of this paper to design the data-driven supply chain model to evaluate the impact on supply chain performance and customer satisfaction.

Design/methodology/approach

This research uses the resource-based view, emerging literature on big data, supply chain performance measures and customer satisfaction theory to develop the big data-driven supply chain (BDDSC) model. The model tested using questionnaire data collected from supply chain managers and supply chain analysts. To prove the research model, the study uses the structural equation modeling technique.

Findings

The results of the study identify the supply chain performance measures (integration, innovation, flexibility, efficiency, quality and market performance) and customer satisfaction (cost, flexibility, quality and delivery) positively associated with the BDDSC model.

Originality/value

This paper fills the significant gap in the BDDSC on the different dimensions of supply chain performance measures and their impacts on customer satisfaction.

Effectiveness of performance measurement framework on manufacturers supply chain – case of Saudi Arabia

Purpose

This study aims to provide a collaborative supply chain system using a combination of two already existed methods, i.e. levels of decision-making and supply chain operation reference (SCOR).

Design/methodology/approach

A two-phase methodology was conducted based on field analysis and survey analysis. Field analysis included a critical analysis of literature related to supply chain performance measurement and identified related indicators.

Findings

In a survey analysis, a questionnaire was developed to test the established indicators from managers and employees of manufacturing companies. It formulated a novel model for the performance measurement of the supply chain (SC) which included 4 factors (customer, efficiency, flexibility and product), with a total of 31 sub-components.

Originality/value

The structure provides a tied horizontal (SCOR) and vertical (progressive decision) in relation to the features that characterize the SC performance. This system enables the decision-makers to make decisions at the strategic, tactical and operational levels. It reflects the performance measures reliability, authenticity and its application in various SC. It also improves communication with the regional party while ensuring a preventive schedule for maintenance.

Relational governance in supply chain: a systematic literature review

Purpose

The goal of this research is to establish which contextual factors influence the selection of relational governance instruments in supply chains (SCs) and how these factors impact the expected performance.

Design/methodology/approach

A systematic literature review (SLR) identified 103 conceptual, empirical and analytical studies between 2007 and 2017.

Findings

A conceptual framework is developed from the categorization of contextual factors, relational governance instruments and expected SC performance. The conceptual framework provides three propositions: (1) The choice for relational governance instrument is influenced differently by the contextual factors; (2) the impact that the contextual factors have on the governance instruments and SC performance is mediated by trust; (3) The SC performance is affected differently by the instruments of flexibility, solidarity and information sharing.

Practical implications

The findings of this research can help business managers better govern and know the contextual factors and use different relational governance instruments and trust dimensions to drive the expected results of the SC.

Originality/value

The synthesis reveals contingencies of relational governance instruments in SCs for performance expected in different contexts and proposes a standpoint for further research in the area.

Sustainable Supply Chain Management Practices and Sustainable Performance in Hospitals: A Systematic Review and Integrative Framework

Hospital supply chains are responsible for several economic inefficiencies, negative environmental impacts, and social concerns. However, a lack of research on sustainable supply chain management specific to this sector is identified. Existing studies do not analyze supply chain management practices in an integrated and detailed manner, and do not consider all sustainable performance dimensions. To address these gaps, this paper presents a systematic literature review and develops a framework for identifying the supply chain management practices that may contribute to sustainable performance in hospitals. The proposed framework is composed of 12 categories of management practices, which include strategic management and leadership, supplier management, purchasing, warehousing and inventory, transportation and distribution, information and technology, energy, water, food, hospital design, waste, and customer relationship management. On the other side, performance categories include economic, environmental, and social factors. Moreover, illustrative effects of practices on performance are discussed. The novelty of this document lies in its focus on hospital settings, as well as on its comprehensiveness regarding the operationalization of practices and performance dimensions. In addition, a future research agenda is provided, which emphasizes the need for improved research generalizability, empirical validation, integrative addressing, and deeper analysis of relationships between practices and performance.

Identification and causal assessment of supply chain flexibility

Purpose

The purpose of this paper is to map the causal relations among various supply chain flexibility (SCF) dimensions having significant impact on the Indian personal hygiene industry.

Design/methodology/approach

The author(s) have gone through extensive literature review and extracted 22 SCF dimensions. After conducting field visits and expert interaction in the firm related to case industry, 11 major SCF dimensions that seem to have a significant amount of influence on supply chain performance of the firms were retained for further consideration. The author(s) have used decision making trial and evaluation laboratory (DEMATEL) to establish initial causality and structural equation model (SEM) to investigate the contribution of different flexibility dimensions on overall SCF.

Findings

After DEMATEL analysis, three major SCF dimensions were considered for SEM modeling. The result shows that product flexibility and physical distribution flexibility have favorable influence on the SCF, while the demand management flexibility adversely impacts overall SCF.

Practical implications

The approach adopted in the study can help firms to determine and exercise the flexibility dimensions of a particular supply chain. The DEMATEL and SEM offer a facilitation to explain the causal relationship between the different dimensions to take long-term decisions and address the uncertainty in the demand and supply side.

Originality/value

This paper has made an attempt to evaluate the supply chain flexibilities, prioritize them and evaluate the relationship amongst these flexibilities and the degree to which they affect or are affected by one another in the Indian personal hygiene industry.

Performance measurement for supply chain management and quality management integration

Purpose

The purpose of this paper is to present a conceptual framework for performance measurement (PM) for the integration of supply chain management (SCM) and quality management (QM).

Design/methodology/approach

A systematic literature review on SCM and QM was conducted to develop key performance measures related to six areas of integration between QM and SCM: leadership; continuous improvement and innovation; sustainability performance; stakeholders; information system; and management and strategic planning.

Findings

Supported by the literature concerning to supply chain quality management (SCQM) integration, a set of nine propositions about performance measures, that contribute to the integration of SCQM, were developed.

Originality/value

This study contributes to QM practices within a supply chain environment from an integrated perspective. Additionally, the propositions have significant implications from both managerial and theoretical perspectives. This study also extends the concept of supply chain quality integration by focusing on key aspects of PM that may help to improve the overall performance of the supply chain.

The impact of Big Data analytics and data security practices on service supply chain performance

Purpose

The purpose of this paper is to investigate the effects of Big Data analytics, data security and service supply chain innovation capabilities on services supply chain performance.

Design/methodology/approach

The paper draws on the relational view of resource-based theory to propose a theoretical model. The data were collected through survey of 145 service firms.

Findings

The results of this study found that the Big Data analytics has a positive and significant relationship with a firm’s ability to manage data security and a positive impact on service supply chain innovation capabilities and service supply chain performance. This study also found that most service firms participating in this study used Big Data analytics to execute existing algorithms faster with larger data sets.

Practical implications

A main recommendation of this study is that service firms empower a chief data officer to establish the data needed and design the governance of data in the company to eliminate any security issues. Data security was a concern if a firm did not have ample data governance and protection as the information was shared among members of service supply chain networks.

Originality/value

Big Data analytics are a useful technology tool to forecast market preference based on open source, structured and unstructured data.