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During the previous two decades, “Green Supply Chain Management” (GSCM) has been gaining the attention of researchers and practitioners from various fields (e.g. operations, logistics and supply chain management). Its significance is constantly growing, and various studies are conducted in order to capture its overall organizational contribution. The present study attempts to bring together various organizational aspects that have never been collectively investigated before in the relevant literature. Under that rationale, a robust conceptual framework is developed and empirically tested. This framework includes 17 factors that are classified in three dimensions: (1) drivers of GSCM practices, (2) GSCM practices and (3) firm performance (GSCM outcomes).

The examination of the proposed conceptual framework was performed using a newly developed structured questionnaire that was distributed to a sample of Greek manufacturing organizations. Supply Chain managers and Chief Executive Officers (CEOs) were used as key respondents, due to their knowledge and experience. After the completion of the three-month research period (last quarter of 2019), 292 useable questionnaires were returned. The empirical data were analyzed using the “Structural Equation Modeling” technique. The study is empirical (based on primary data), explanatory (examines cause and effect relationships), deductive (tests research hypotheses) and quantitative (includes the analysis of quantitative data collected with the use of a structured questionnaire).

Empirical results point out that internal environmental management, green innovative practices and environmental proactivity are GSCM practices with the most significant impact on firm performance. Moreover, the mediating role of GSCM practices in the relationship between GSCM drivers and firm performance is also highlighted. Finally, it was found that GSCM practices can explain 35% of the variance in firm performance and the drivers of GSCM practices can explain 78% of the variance of these practices.

The proposed three-dimensional conceptual framework of this empirical study and its underlining rationale has rarely been adopted in the relevant literature. Moreover, the study investigates which GSCM practices have an impact on firm performance, thus offering value to practitioners of the field. Also, it is one of the few similar studies that have been conducted on a European country.

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.

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.

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.

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.

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.

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.

This paper aims to investigate the impact of green human capital (GHC) on green supply chain management (GSCM) practices (environmental education and internal environmental management) and sustainable supply chain performance.

This study used a survey method to collect data from 350 randomly selected manufacturing firms in China, including supply chain and human resource professionals from the period of December 2021 to June 2022.

The partial least squares-structural equation modeling version 4 is applied to assess the data and test the hypotheses. Under the notion of resource-based view theory, the findings demonstrate that GHC has a positive and significant relationship with GSCM practices (environmental education and internal environmental management) and that GSCM practices are positively associated with the sustainable supply chain performance.

This study offers implications for Chinese manufacturing firms to use GHC on dimensions of GSCM implementations for achieving environmental, financial and social performance.

This study finds that GHC as a critical enabler for implementing GSCM practices, resulting in more robust and better sustainable supply chain performance (environmental, financial and social performance).

Big data analytics capabilities are the driving force and deemed as an operational excellence approach to improving the green supply chain performance in the post COVID-19 situation. Motivated by the COVID-19 epidemic and the problems it poses to the supply chain's long-term viability, this study used dynamic capabilities theory as a foundation to assess the imperative role of big data analytics capabilities (management, talent and technological) toward green supply chain performance.

This study was quantitative and cross-sectional. Data were collected from 374 executives through a survey questionnaire method by applying an appropriate random sampling technique. The authors employed PLS-SEM to analyze the data.

The findings revealed that big data analytics capabilities play a significant role in boosting up sustainable supply chain performance. It was found that big data analytics capabilities significantly contributed to supply chain risk management and innovative green product development that ultimately enhanced innovation and learning performance. Moreover, innovation and green learning performance has a significant and positive relationship with sustainable supply chain performance. In the post COVID-19 situation, organizations can enhance their sustainable supply chain performance by giving extra attention to big data analytics capabilities and supply chain risk and innovativeness.

The paper specifically emphasizes on the factors that result in the sustainability in supply chain integrated with the big data analytics. Additionally, it offers the boundary condition for gaining the sustainable supply chain management.

The purpose of the paper is to explore the practices with logistics performance management in two textiles supply chains, and to identify the related best practices and barriers.

The method is a multiple case study of two textiles supply chains with a special focus on the rarely addressed interface between the manufacturer and the retail chain. The retail chains represent one large, global retail chain and one Nordic, comparably smaller retail chain. This paper is primarily empirical and describes practices for logistics performance management. The analysis discusses and explains best practices and barriers for logistics performance managements in textiles supply chains.

Differences were identified regarding practices, priorities and collaboration in the logistics performance management process. No textiles industry-specific practices were found. A way of exchanging action plans between the actors is an interesting best practice, which enables improvement projects even with long geographical distances. Barriers in the shape of difficulties in creating a collaborative culture were found; however, IT support seems no longer to be a barrier.

Two cases are explored, why a broader study is necessary to confirm the results. The best practices and barriers identified are similar to those known from manufacturing companies.

The detailed descriptions of logistics performance management practices can provide insights for practitioners. Even if the studied supply chains are important for the respective actors, there is a potential for increased effectiveness in textiles supply chains.

Supply chains for textiles products “starting at a manufacturer and ending in a retail chain” seem to be an unchartered territory and not many studies have been performed.

The purpose of this study is to explore the investment of supply chain technology-to-performance path relationship through the lens of the resource-based view (RBV) as illuminated by the organizational learning literature.

This study surveyed top-level managers who are registered members of the Council of Supply Chain Management Professionals.

Using factor analysis and OLS regression on 300+ supply chain professionals, this study confirms that investments in both enterprise- and radio frequency identification (RFID)-specific knowledge management (KM) tools yield substantial benefits to the firm’s knowledge management system (KMS) which is the dependent path to higher supply chain performance.

This sample was taken with supply chain professionals who are more likely to value supply chain investments as part of their responsibility.

The authors believe that the empirical study on supply chain investment from a resource-based perspective will contribute to the ongoing RBV theoretical discussions while providing insights for practitioners in the realm of supply chain investment.

Every investment in supply technology should be driven by an understanding of the inextricably inter-connectedness of knowledge management capabilities and the firm’s ability to effectively implement its corporate strategies. By emphasizing the inter-connection between knowledge management and supply chain technology investments, firms improve their potential for developing a competitive advantage.

We examine how design and implementation practices for supply chain performance management that have proven successful in commercial organisations apply to humanitarian organisations (HOs) to guide the process of designing and implementing performance management in humanitarian organisations.

We identify from the literature ten successful practices regarding the design and implementation of supply chain performance management in commercial businesses. We apply these, using action research over a four-year period, at Médecins sans Frontières (MSF) Belgium and draw conclusions from this.

We find that tools and techniques, such as workshops and technical sheets, are essential in designing and implementing supply chain performance measurement projects at HOs. Furthermore, making a link to an IT project is crucial when implementing performance measurement systems at HOs. Overall, our case study shows that performance management practices used in business can be applied and are relevant for humanitarian supply chains.

Previous research has argued that there are few empirical studies in the domain of performance management at humanitarian organisations. To the best of our knowledge, this paper is the first to provide a longitudinal understanding of the design and implementation of supply chain performance measurement at HOs.

To introduce and provide an overview of the various issues related to environmental (green) supply chain management performance measurement.

The work relies on experiences, case studies and other literature related to performance measurement in environmental supply chains. It seeks to integrate works in supply chain management, environmental management, and performance management into one framework. A systems framework forms the discussion outline with a focus on controls/pressures, inputs, tools, and outputs as major categories for evaluation and review.

Provides an integrative framework for study, design and evaluation of green supply chain management performance tools. The findings also identify a number of issues that need to still be addressed.

We have only one design of the issues in which numerous categorizations could be provided. There is limited research in this area and new and current models/developments can provide additional insight. Implications of the work is that these gaps exist and that significantly more work needs to be completed in this field.

A very useful source of information for practitioners that seek to implement these systems within and between organizations. Also, the paper provides numerous areas which researchers could complete additional research and develop research agendas.

This paper provides some of the very first insights into development of a green supply chain management performance measurement system. Typically performance measurement systems are internally and business focused, we expand on these issues by considering inter‐organizational and environmental issues within a business context.

Logistics service providers (LSPs) are important actors for creating logistics performance in supply chains. However, there is little previous research on how they handle the performance management process. The purpose of this paper is to explore the handling of the performance management process and its obstacles from the perspective of LSPs.

A multiple‐case study is conducted with the three largest LSPs in Sweden.

The handling of the performance management process shows similarities among LSPs in selecting performance variables, defining metrics, and capturing real‐time data. The differences are found in target setting, in report‐making and analysing, and in the perceived demand for performance management. The following three perceived obstacles are found for supply chain performance management: lack of understanding and knowledge; poor capabilities for adapting performance metrics definitions; and lagging IT solutions for performance report‐making. The findings indicate possibilities for an increased supply chain scope where activities are handled by the partner that has the best capabilities, improving efficiency in supply chains.

The study contributes to performance management theory by providing exploratory knowledge of the supply chain performance management process and its obstacles from the perspective of three LSPs. The study focuses on large LSPs and has respondents at the managerial level.

The study reveals differing supply chain performance management practices among LSPs, which implies that customers can choose an LSP that handles performance management in the way required.

Little previous research includes LSPs in studies of supply chain performance management. In particular it is unusual to have the perspective of LSPs and apply case‐based methodology.

A well-designed supply chain performance measurement system, should account for not only the capabilities and performance attributes of the focal firm but also its supply chain partners. The purpose of this paper is to help design a system that strikes a balance between the strategic objectives of the focal firm and its supply partners vis-à-vis the requirements of supply chain performance (cost, quality, speed and customer taste).

A theoretical framework on the strategic supply chain performance measurement system is developed based on existing literature and subsequently tested using a survey on 136 successful manufacturing organizations in India. The organizations were clustered into three strategy types and compared using analysis of variance on ranks to look for differences in preference for performance parameters.

The study examined the five dimensions of the supply chain practices, namely, strategic supply/distribution network, customer relationship, internal operations, information sharing and social and environmental responsiveness. The empirical results demonstrate the inclusion of business strategy orientation in designing today’s supply chain and hence its performance measurement system. Not supported hypotheses were addressed in the light of contextual factors.

The study is confined to finding preferences of non-financial aspects of supply chain performance and tier-1 suppliers. The research helps better design and benchmark supply chain performance metrics, based on the strategic choice of the firm.

This paper highlights the shortcomings in the existing performance measurement and gaps in the existing literature in the supply chain context. Further, it gives a holistic view of strategic supply chain performance measurement design.