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The purpose of this paper is to review the existing literature on supply chain performance measures and metrics (PMMs). It provides a critical evaluation of 234 articles published in past 24 years.

The paper examines the studies published from 1991 to 2014 by adopting the bibliometric technique of citation and co-citation analysis.

The analysis of the results indicate that the number of articles on supply chain PMMs is increasing at its fastest pace in the past few years. Furthermore, the study identifies some of the most influential articles on performance measurement and metrics. Finally, it concludes that there has been a transition from traditional to more sophisticated performance measurement system.

This study focuses only on supply chain performance measurement and metrics and excludes research on performance management and control. Thus, researchers may explore and extend this area of research.

To the knowledge of the authors, this is the first study to review the literature on supply chain PMMs by using citation and co-citation analysis. The study includes 234 articles over the time of 24 years (1991-2014).

The purpose of this paper is to examine when and how organizations create agility, adaptability, and alignment as distinct supply chain properties to gain sustainable competitive advantage.

The current study utilizes the resource-based view (RBV) under the moderating effect of top management commitment (TMC). To test the research hypotheses, the authors gathered 351 usable responses using a pre-tested questionnaire.

The statistical analyses suggest that information sharing and supply chain connectivity resources influence supply chain visibility capability, which, under the moderating effect of TMC, enhance supply chain agility, adaptability, and alignment (SCAAA).

The contribution lies in: providing a holistic study of the antecedents of agility, adaptability, and alignment; investigating the moderating role of TMC on SCAAA; following the RBV and addressing calls for investigating the role of resources in supply chain management, and for empirical studies with implications for supply chain design.

Sustainable supply chain management (SSCM) has attracted considerable interest among academics and practitioners. The purpose of this paper is to present a critical review of the literature, to identify missing links, to argue for the use of world class SSCM (WCSSCM) through a framework, and suggest further research directions.

In the paper the authors have undertaken an extensive review of literature and classified articles using a novel classification scheme.

Through the extensive review and identification of research gaps, the paper identifies significant differences between definitions and methodologies in the SSCM literature; and argues for “WCSSCM.” This term is elaborated on via a theoretical framework in which 18 dimensions are classified under six constructs of SSCM. Furthermore, a list of potential research directions for WCSSCM is discussed.

The research is an attempt to critically review literature, argue for WCSSCM, and develop a theoretical framework.

The paper offers a new approach to SSCM literature, arguing for WCSSCM through a framework, and providing further research directions.

Green or sustainable supply chain management (GSCM/SSCM) has in recent years attracted much attention from academia and practitioners in all part of the world. In recent years, all humanity has experienced severe climate change which is widely attributed to human activity. Harmful emissions have made a major contribution to recent climate change which presents major challenges and threats to the entire human race in form of global warming, earthquakes, hurricanes, tsunami and floods. The purpose of this paper is to propose a conceptual GSCM/SSCM framework contributing to knowledge-based view theory and systems theory (ST) and provide an exhaustive list of further research directions.

In this paper the authors have used a systematic literature review to identify building blocks of the conceptual framework, which is the principal contribution of the present paper.

In this paper the authors have proposed a conceptual framework for sustainable supply chain network and at the end the authors have outlined further research directions.

The current paper is an attempt to develop a conceptual framework which is grounded in knowledge-based theory. The study helps to extent the prior works which lacks theory focused approach.

The present work has immense theoretical value and can be useful to the policy makers or practitioners engaged in GSCM practices.

A low-carbon economy is the pressing need of the hour. Despite several efforts taken by the government and large corporations, there is still research to be conducted exploring the role of top management commitment in translating external pressures into responses that help to build low-carbon emissions in supply chains.

The authors have grounded their framework in institutional theory, agency theory and contingency theory. On the basis of existing literature, four hypotheses were drawn. To test these hypotheses, a questionnaire was developed and pre-tested. Finally, statistical analyses were performed to test the research hypotheses using 176 samples gathered using a pre-tested questionnaire following Dillman’s (2007) total design test method.

The results suggest that coercive pressures and mimetic pressures under the mediating effect of top management commitment have a significant influence on organizational response to low-carbon emissions. The authors further note that supply base complexity has moderating effects on the link between top management commitment and organizational response towards low-carbon emissions.

This study offers valuable insights to those managers and environmental consultants who view supply base complexity as a limitation. However, the results indicate that supply base complexity may help to enhance the effectiveness of the top management commitment on organizational response towards low-carbon emissions.

A shortage of skills is recognized as a major source of risk in supply chain networks. This study uses two independent organizational theories to explain how to build applicable skills for continuous availability of appropriate supply chain talents. The purpose of this paper is to propose an integrated framework that links human agency theory, social capital theory and supply chain skill.

This framework is analyzed in third party logistics (3PL) organizations by confirmatory factor analysis and tested using a survey. After pre-testing by six academics and six practitioners, and following the total design method, the data were collected from 183 3PL organizations in India. Data were checked to ensure no non-response bias. Research hypotheses were tested using WarpPLS-structural equation modeling.

A primary finding offers guidance to 3PL managers. Their driving role and mediating role of access to information and access to resources facilitate building supply chain skill. Leaders who invest in library, acquiring e-resources, offer financial support and create trust among employees are enablers of building supply chain skill.

This study classified 14 supply chain skills into three categories as: managerial skill, quantitative skill and supply chain core skill. The study could be extended to similar companies in other developing countries.

With considerable international awareness of circular economy (CE), the purpose of this paper is to propose a theoretical framework, informed by institutional theory and upper echelon theory (UET), to explain how top management commitment (TMC) mediates the relationship between external pressures and supplier relationship management (SRM) practices for CE.

The authors test the hypotheses using cross-sectional data gathered using a survey of companies involved in sustainability practices.

The results of the hierarchical regression and mediating regression analyses suggest that TMC positively mediates the effect of external institutional pressures on SRM.

The authors advance existing theory by integrating institutional theory and UET to explain SRM practices in sustainable supply networks. Furthermore, the authors offer guidance to managers who would like to engage in leveraging SRM in sustainable supply networks and outline future research directions.

The purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization.

The authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM.

The statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support for H4. Although the authors did not find support for H4 (moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies.

This study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results.

The purpose of paper is twofold. First, it provides a consolidated overview of the existing literature on “big data” and second, it presents the current trends and opens up various future directions for researchers who wish to explore and contribute in this rapidly evolving field.

To achieve the objective of this study, the bibliographic and network techniques of citation and co-citation analysis was adopted. This analysis involved an assessment of 57 articles published over a period of five years (2011-2015) in ten selected journals.

The findings reveal that the number of articles devoted to the study of “big data” has increased rapidly in recent years. Moreover, the study identifies some of the most influential articles of this area. Finally, the paper highlights the new trends and discusses the challenges associated with big data.

This study focusses only on big data concepts, trends, and challenges and excludes research on its analytics. Thus, researchers may explore and extend this area of research.

To the knowledge of the authors, this is the first study to review the literature on big data by using citation and co-citation analysis.