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This paper aims to introduce a joint DEMATEL and NK methodology to develop a process model for introducing and implementing relational supply chain practices for low-carbon supply chains. Using this process model as a guide, insights into specific practices and how to implement these relational practices to achieve competitive advantage across organizations are introduced.

Low-carbon cooperation practices framework based on the relational view is developed. A methodology based on DEMATEL and the NK model is used to construct a sequential process model for introducing and implementing these relational practices. Empirical data from three manufacturing organizations in China are utilized to validate the model.

Initial results provide a sequence of relational practices for guiding those organizations and their suppliers for healthy and low-carbon development. Interdependencies between relational practices are analyzed and evaluated from four aspects. Insights into the broader application of the methodology and initial results from both a research and managerial perspective are presented, especially with consideration of the China, an emerging economy, context.

The methodology remains relatively abstract in nature, yet the tool can provide very useful interpretations and information for both researchers and practitioners.

This paper stipulates that in addition to internal operational practices, the relational practices between buyer and supplier may be equally important to achieve a low-carbon outcome, especially in supply chain setting. This paper also shows that not only the relational practice itself but also the implementation sequence of the relational practices can relate to performance. According to the authors’ initial results, organizations in this study should first develop product development cooperation, then exchange carbon knowledge and implement effective governance and last build a trust relationship with its suppliers for low-carbon cooperation.

This is one of the few approaches that directly evaluates and identifies the interdependencies among relational practices and to construct a process model for introducing and implementing low-carbon supply chain cooperation. It is also the first time that the NK model has been integrated with DEMATEL. Focusing on Chinese supply chain carbon emissions concerns is also a unique perspective.

Grounding on relational view and contingent resource-based views, the authors investigate the conditional indirect effect of Supply Chain Relational Practices (SCRPs) on supply chain performance (SCP) through proactive and reactive supply chain resilience (SCRE) capabilities at different levels of network complexity (NC).

The authors adopt an “exploratory sequential mixed methods design” combining the qualitative and quantitative approaches under a positivist paradigm. The qualitative method is primarily used to contextualize and develop better measurements of the factors and variables using content analysis of the field studies. This then informs the quantitative phase which conducts a questionnaire survey among the apparel manufacturing firms in Bangladesh. The authors analyzed the quantitative data using Partial Least Square based Structural Equation Modelling. The authors also used PROCESS integrated regression analysis to test conditional indirect effects.

Our research findings indicate that the indirect effect of SCRPs on SCP through proactive and reactive SCRE is positive and significant. It also finds that the conditional indirect effect is high at higher NC.

The results have immense practical implications as it proposes to enhance relational practices in order to develop SCRE as a contingent resource to mitigate disruptions. This will also help the supply chain (SC) managers to work through smoothly at different levels of supply chain NC and improve SCP.

Extant literature does not provide a deeper understanding of the impact of SCRPs on SCP, while SCRE and NC influence the link. Therefore, investigation of the conditional direct and indirect effect of SCRPs on SCP through proactive and reactive SCRE at different levels of NC is novel in SC management literature.

Following a contingent resource-based view (CRBV) perspective, this paper aims to explore the operating context in which supply chain resilience (SCRE) is likely to enhance the supply chain performance (SCP) of organizations. More specifically, the authors developed the ‘Supply Chain Resilience’ model wherein we considered two important exogenous context variables (supply chain relational practices [SCRPs] and network complexities [NCs]) and studied their moderating roles on the relationship between SCRE and SCP. The authors also investigated the conditional effect of SCRE on SCP at different levels of SCRPs and NCs.

This study used both qualitative and quantitative approaches. For the qualitative approach, a field study was undertaken, while the quantitative study was conducted via the use of a survey questionnaire of 274 apparel manufacturers and their suppliers in Bangladesh. The authors applied Hayes PROCESS enabled multiple regression analysis and structural equation modelling to statistically test the proposed research models.

The research findings revealed that SCRP and NC individually moderated the link between SCRE and SCP. The link between SCRE and SCP was strengthened via the interaction effect of SCRP and NC, even if the NC value was high.

The findings will assist supply chain managers in managing supply chain performance during uncertainties by strengthening resilience capability at different levels of NCs and SCRPs.

Drawing on CRBV, the authors studied how the conditional effects of exogenous variables (SCRP and NC) moderated the relationship between SCRE and SCP in both two- and three-way interactions, which is a novel approach in the SCRE literature and also extends the theoretical perspective of CRBV.

The purpose of this paper is to develop a framework and propositions to advance research and practice in sustainable supply chain management (SSCM). Performance indicators (economic, environmental, and social) identified in the paper aim to facilitate empirical testing of a range of theoretical models derived or extended from the stated propositions.

The study of SSCM is truly complicated, and there is no one theory that applies in all instances. The authors analyzed over 200 critical articles published in major supply chain management and sustainability-based journals and grounded the proposed framework in a multi-theoretical perspective.

SSCM implementation entails linking stakeholder pressures, moral motives, and management commitment with relational practices. The paper further elucidates how relational practices, when bundled together, can create a set of relational capabilities, which in turn transform stakeholder pressures into sustainable outcomes.

The research framework contributes to SSCM theory building insofar as it can be expanded into various theoretical models, allowing researchers to empirically test the links among SSCM drivers, management commitment, and relational capabilities, along with their individual or collective impact on supply chain performance.

The framework provides a roadmap for firms to develop and nurture relational capabilities while dealing with growing stakeholder pressures. Moral motives strengthen top management commitment, which helps channel stakeholder pressures toward the proactive development of relational capabilities.

The paper fulfills a call for utilizing multiple theoretical lenses to examine complex SSCM phenomena and, ultimately, to create a coherent theory of SSCM.

This paper aims to examine the impacts of relational capital on supply chain quality integration (SCQI) and operational performance from the holistic perspective of the entire supply chain.

Structural equation modeling with LISREL was used to test the conceptual model based on data collected from 308 companies in China.

The results indicate that with the exception of internal relational capital not having a significant impact on customer quality integration, supplier, internal and customer relational capital have positive impacts on supplier, internal and customer quality integration, which consequently improve operational performance. The results also show that internal relational capital has positive impacts on supplier and customer relational capital, and internal quality integration has positive impacts on supplier and customer quality integration.

The results provide important managerial insights for the improvement of operational performance through the development of relational capital and the implementation of SCQI practices throughout the supply chain.

The authors contribute to the relational capital and supply chain quality management literature by exploring the effectiveness of relational capital in improving SCQI and operational performance from the holistic perspective of the entire supply chain. The findings enrich the knowledge of SCQI management from the perspective of relational capital.

The paper aims to study the relationship between corporate social responsibility, green supply chain management, and operational performance and the moderating effects of relational capital on these relationships.

The authors conduct an empirical study with a structural equation modeling approach to investigate the relationship between corporate social responsibility—constructed by the quality and environmental responsibility, green supply chain management—including green supplier and customer management and operational performance—manifested by quality, cost, flexibility, and delivery performance using data from 308 manufacturers in China. Besides, the authors explore the moderating effect of supplier and customer relational capital on these relationships.

The findings indicate that a company's quality and environmental responsibility significantly impacts its green supply chain management practices, which further improve its operational performance in quality, cost, flexibility, and delivery. In addition, supplier and customer relational capital strengthens the influence of environmental responsibility on green supply chain management. While supplier relational capital reinforces the impact of green supplier management on flexibility and delivery performance, customer relational capital only strengthens the influence of green customer management on flexibility performance.

The study enriches the extant literature by developing a holistic framework integrating corporate social responsibility, green supply chain management, relational capital, and operational performance and unraveling their intricate relationships. The authors’ findings help practitioners prioritize proactive steps in environmental conservation more than achieving operational performance.

This paper aims to examine the effects of green supply chain management (GSCM) on environmental and operational performances with a perspective of social capital accumulation in the supply chain. The roles of structural capital and relational social capital in GSCM were empirically explored.

A research model was developed to investigate the effects of GSCM on a supplier’s environmental and operational performances through structural and relational social capitals. Using an exploratory factor analysis, the study identified the structural and relational dimensions of social capital and the environmental and operational performance dimensions of supplier’s performance. The hypotheses were tested on data of 207 responses collected from supplying firms in South Korea, using structural equation modeling.

The paper finds that GSCM contributes to the environmental and operational performance improvements of the supply chain through social capital accumulation. Relational capital, in particular, plays a more important pivoting role in the relationships between GSCM and environmental and operational performances.

The findings of this paper provide useful insights about how supply chain members should integrate environmental issues into supply chain management practices that would enhance social capital accumulation to foster stronger operational and environmental performances throughout the entire supply chain.

This research is one of the few studies that explore the effects of GSCM on performance by explicitly considering social capital as an important intervening variable. By applying social capital theory, this study provides theoretical underpinning for furthering the GSCM literature.

Taking a social network perspective, the purpose of this paper is to develop a framework for the assurance of food safety via relational networking.

The authors consider both informal and formal relational networking, and explore a firm’s learning orientation, risk aversion and consumer pressure as potential precursors to such relational networking. It is further hypothesized that relational networking generates both industry and supply chain knowledge, which is suggested to be beneficial for contamination detection. The model is tested with survey data collected among food-producing firms in India, the world’s second largest food producer.

The authors find a positive influence of consumer pressure on both a firm’s learning orientation and risk aversion, which in turn affect both informal and formal relational networking. Informal networking further generated industry knowledge and was beneficial for contamination detection. Formal relational networking influenced supply chain knowledge, which in turn enabled contamination detection.

Recent food product-related safety breaches, which have, in the worst case, led to fatalities, illustrate the importance of food safety in supply chains. This study represents the first systematic investigation of relational networking in the context of food safety from the perspective of social network theory.

The purpose of this study is twofold. First, it aims to explore the link between the industry 4.0 technologies, supply chain emergence and their resulting impact on relational performance in the transitive service triads. Second, the study also seeks to recognize the role of supply chain emergence as a mediator between the industry 4.0 technologies and relational performance.

Grounded in the complex adaptive system theory and supply chain practice view, the author developed an empirical model, estimated through survey-based research. Data derived from 350 transitive service triads were fed into the partial least squares structural equation model to test the research hypotheses.

The results of the study indicate that the industry 4.0 technologies have a positive effect on supply chain emergence in the transitive service triads. Likewise, the research demonstrates that supply chain emergence has a positive effect on relational performance in triads. When estimating the model mediation, the author also found that supply chain emergence fully mediates the relationship between the industry 4.0 technologies and relational performance.

First, it would be worthwhile to consider a detailed investigation of the effect of specific industry 4.0 technologies to obtain self-organization of actors and emergence. Moreover, it would also be interesting to further develop the methods for investigating variation in relational performance across the entire range of performance in triads. Finally, although the issue of relational performance has been relatively well explored within a dyadic setting, the author suggests pursuing the investigation on relational performance at the triadic level.

This study contributes to the theory of supply chain management and provides significant managerial implications on the role of the industry 4.0 technologies in obtaining supply chain emergence and producing relational performance in the transitive service triads.