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This study aims to comprehensively assess how digital maturity degree (DMD) impacts sustainable supply chain management (SSCM) performance through the mediating role of SSCM practices in businesses in Vietnam.

The hypotheses were performed using partial least square-structural equation modeling (PLS-SEM) with data collected from a survey of over 234 managers having responsibility in the supply chain field in Vietnam. Qualitative data were collected through semistructured interviews with 6 experts to deepen understanding of the relationship between DMD and SSCM.

The results show the mix-results in the relationship between SSCM practices and SSCM performance dimensions while DMD strongly impacts SSCM practices. Also, this study finds the mediating role of SSCM practices on the relationship between DMD and SSCM performance.

This is the first study to investigate the role of DMD on SSCM practices and SSCM performance, using empirical evidence. Moreover, the authors integrate both qualitative and quantitative for understanding complex SSCM phenomena. The present study also helps businesses improve their SSCM performance by leveraging SSCM practices and developing their digital technologies in the long-term view.

Academics and businesses alike have begun to recognise sustainability as a vital component of supply chain competitive advantage in recent years. Inconclusive results have been found in empirical studies of sustainable supply chain management (SSCM) that have ignored contextual variables concerning the dynamic role of firm capability in favour of testing alternative assumptions about the effect of various elements of the triple bottom line (TBL) on firm performance outcomes. The present study examines whether and how firm capabilities mediate the connection between SSCM, from a TBL standpoint, and firm financial performance outcomes.

Using the stakeholder theory, the study employed 325 survey responses from firms operating in different industries in Ghana (a less-researched context but one that plays a key role regarding SSCM practices) and the partial least squares structural equation model (PLS-SEM) technique to simultaneously assess the relationships amongst the variables.

It was discovered that the connections between all the TBL facets of SSCM practices and firm performance are positive and significant, and these relationships are mediated by firm capabilities.

By examining the underlying variables and relationships that contribute to the establishment of the rather complex relationship between SSCM practices from a TBL perspective and the performance of a firm, the research contributes to current knowledge on SSCM practices, firm capabilities and firm performance.

Sustainable supply chain management (SSCM) concepts have received immense attention in the recent past in both academia and industries. Especially, manufacturing industries in developing countries realize the importance of adopting sustainability concepts in their supply chain. The SSCM adoption has not been to the same level across different manufacturing sectors and hence a single implementation framework will not have the same effect across sectors. This paper aims to compare the adoption level of 25 SSCM practices across three major manufacturing sectors, namely, automobile, electronics and textile, in an emerging economy, India.

A questionnaire-based data collection technique is used to obtain adoption levels of each of the identified SSCM practices on a five-point Likert-type scale with “1” representing not considering presently to “5” indicating successful implementation. Second, a hypothesis is framed and tested to compare the adoption levels across sectors using a one-way single-factor ANOVA followed by a post hoc test by Tukey’s test.

The results derived suggest that though the industries across different sectors are in the course of adopting SSCM practices, the level of adoption is found to be not the same. The textile sector has adopted the least, and the electronic sector edges ahead of the automobile sector in terms of successful transformation to SSCM.

This study focuses on the differences and similarities in the adoption of policies in the automobile, electronics and textile sectors using statistical data analysis tools. A total of 25 individual practices are identified from existing literature and classified into six groups, namely, management, supplier, collaboration, design, internal and society, based on their similarities. Based on a detailed questionnaire survey with industrial experts in relevant fields as respondents, the adoption levels of practices are rated individually and categorically.

This study explores practitioners' perspectives on and definitions of sustainable supply chain management (SSCM), which are then compared to academic definitions to identify new implications for researchers, educators and practitioners.

An abductive, explorative and qualitative approach was followed in the form of a review and classification of 31 academic definitions of SSCM as well as 30 interviews with supply chain (SC) practitioners.

The practitioners' answers show a lack of awareness of upstream and downstream challenges as the practitioners' focus on practices within the practitioners' firms, where the economic and environmental dimensions prevail. However, the practitioners highlighted understudied topics in SSCM: human resources policies, leadership for sustainability and ethics.

This research stimulates discussion on how to teach an SSCM course and which directions to follow to ensure that research has an impact on practices. Practitioners' focus on the practitioners' everyday practices confirms that practice-based theories, amongst others, are relevant in the field and that more interdisciplinary research is needed to highlight the contributions of human resource management (HRM) and business ethics to SSCM.

The proposed framework clearly defines the scope of the practices and research (upstream or downstream of the SC or within the firm), which will allow practitioners to contribute to SSCM more holistically.

Educators and researchers have a crucial role to play in clarifying the meaning of SSCM for students who are future practitioners and consumers. Interacting more with practitioners could help.

This research is targeted not only to researchers and practitioners but also educators.

Sustainable supply chain management (SSCM) is a new subfield of supply chain management. The purpose of this research is to develop a framework for assessing the impact of agile new product development (ANPD) practices on the environmental SSCM performance.

The ANPD practices and SSCM environmental performance metrics (SEPMs) are identified through the literature review. The shortlisted ANPD practices are categorized into five major criteria each with an own set of sub-criteria. A four-level conceptual framework is developed. The weights of these ANPD practices are computed using the Pythagorean fuzzy Analytical Hierarchy Process (PFAHP), and the SEPMs are ranked using the Pythagorean fuzzy Combined Compromise Solution (PFCoCoSo).

The results show that the major criterion “Innovation Aspects” is the most important with a weightage of 0.2368, followed by “Policy Aspects” having 0.2228, “Technology Aspects” with 0.1959, “Organisation Aspects” having 0.1786 and “Executive Aspects” with 0.1658 weightage. The SEPMs “Frequency of NPD” is ranked first with an assessment value (Ki) of 2.5569, followed by “Lead time reduction” and “Number of design iterations” with Ki of 2.4482 and 2.3897, respectively. The research findings show that the ANPD practices like customer need assessment, availability of multidisciplinary team and Industry 4.0 technology usage contribute more to achieving environmental SSCM.

Managers can enhance environmental SSCM performance by adopting the ANPD practices and prioritizing SEPMs. Corporate effectiveness will be increased by the practices that promote SSCM and the use of technological innovations.

This study identified a unique set of 22 performance metrics that quantitatively measure NPD performance as well as environmental SSCM performance by adopting the 31 ANPD practices that were shortlisted. The proposed framework is a novel synthesis of literature from various disciplines such as new product development (NPD), environmental management, SSCM and performance evaluation.

Nowadays, a prominent research area is the development of competitive advantages in companies, due to their environmental commitment and orientation. Based on resource-based view (RBV) and institutional theory (InT), this paper aims to investigate the influence of internal and external orientation on businesses' sustainable performance while considering the effect of sustainable supply chain management (SSCM) practices.

Data from 351 manufacturing companies in the Kingdom of Saudi Arabia have been collected and analysed through structural equation modelling (SEM) using the partial least squares (PLS) method.

The results indicated that both internal and external environmental orientation have important effects on SSCM practices, which in turn have a considerable beneficial effect on environmental, social and economic performance.

Although SSCM is constantly gaining ground in the literature, most SSCM research and models examine its effects, antecedents or motivation, mainly adopting a qualitative approach. Research on the topic adopting a large-scale empirical approach is still limited. In this context, this study contributes to the SSCM management literature by exploring the role of environmental orientation in facilitating the adoption of SSCM practices and improving companies' performance.

Drawing on multi-theoretical lenses and a combination of supply chain and business ethics literature, this study aims to investigate the role of motives in driving sustainable supply chain management (SSCM) practices and sustainable performance.

Using a sample of 205 supply chain companies in the USA, the authors apply structural equation modeling (SEM) analysis to empirically test the proposed model and seven hypothesized relationships.

Results of the study underscore the critical role of moral motives, while highlighting that all three types of motives (instrumental, relational and moral) are robust in driving SSCM practices and achieving improvement in all three dimensions of sustainable performance–economic, environmental and social.

This research can help supply chain scholars develop a more robust subfield of motivation-based SSCM research to gain a deeper understanding of how motives may differentially predict sustainable supply chain practices and performance.

The results of this study demonstrate the critical links between moral motivation and the triple bottom line (TBL) performance and suggest that managers pay more attention to moral motives in their decision-making.

This study bridges gaps in the extant literature by incorporating motivation-based antecedents, expanding the scope of SSCM practices, including the social dimension of sustainability and investigating the mediating effects of SSCM practices on the links between motives and the TBL performance.

The aim of this paper is to identify key categories of Sustainable supply chain management (SSCM) and related practices that are required to fulfill the demands of sustainability and, therefore, contributing to sustainability performance. As part of this, the authors will identify different approaches in practice implementation in SSCM and supply chain management (SCM). SSCM has become a topic of great interest and is linked to the assumption that a more sustainable performance for businesses would be achieved on its implementation. Such performance has to be achieved with respect to all three dimensions of sustainability.

The paper is conceptual in nature. The authors draw from literature on SSCM and examine frameworks and critical accounts on the topic. This allows identifying key aspects of SSCM and pointing out differences and overlaps with SCM.

The authors identify five key categories which are of high importance for the sustainable management of supply chains: orientation toward SCM and sustainability, continuity, collaboration, risk management and proactivity. In a second step, the authors describe distinctive practices which allow organizations to follow the goals formulated in the five key categories. Finally, they highlight issues preventing companies that follow a rather “conventional” approach to SCM to reach the level where it can be called SSCM, i.e. how to reach sustainability performance in SCM.

The work presented is conceptual in nature. It would be required to operationalize respective categories and, therefore, test them in empirical research.

The categories and practices identified within the framework can be used for guiding managers toward the implementation of SSCM. This is the case when management takes performance implication into account without solely considering rather simplistic indicators. At the same time, differentiating a company based on the implementation of sustainability practices has become more difficult, due to the proliferation of sustainability in a wider field.

Social aspects are integrated into the framework on the same level as environmental and economic aspects, emphasizing the triple bottom line orientation.

While all practices applied in SSCM have originally been identified and described by researchers for the case of “conventional” SCM, their particular interrelation and joint implementation makes up SSCM and ensures a contribution to sustainability performance.

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.

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.

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.”

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.

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.

Based on the extended resource-based view (ERBV), this paper aims to investigate the relationship between sustainable supply chain management (SSCM), dynamic capabilities (DCs) and enterprise economic performance (EEP). Both the direct effects of SSCM on economic performance and the mediation effect of DCs are investigated. This empirical study also examines the moderating role of firm size.

This study applies hierarchical regression analyses to test our hypotheses, and then the mediation test was performed using the macro PROCESS. Data were collected from 178 Chinese manufacturing firms.

The findings show that SSCM practices significantly and positively influence both economic performance and DCs. The results indicate that DCs partially mediate the relationship between SSCM practices and EEP. Moreover, firm size has a moderating effect on external SSCM practices that influence EEP, but the moderating effect was not found to be significant for the effects of internal SSCM practices on economic performance and SSCM practices on DCs.

This study reveals insights into the potential benefits for large enterprises and SMEs related to the utilization of SSCM practices in China and puts forward differentiated suggestions for SSCM practices in large enterprises and SMEs.

Drawing on the ERBV, this study provides a deeper perspective on the relationship between SSCM and EEP by regarding DCs as a mediating variable and firm size as a moderating variable.