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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.

Configuring strategies to ensure a health service provider’s resilience when extreme disruptions occur is not simple. Optimal configuration in such circumstances is rare. Therefore, this research has relied on the dynamic capability view (DCV) to develop a decision-support framework for configuring resilience strategies that will mitigate the worst challenges and improve the performance of health service providers during “extreme” disruptive events.

The research adopted a multi-study, multi-method approach comprising interviews, quality function deployment (QFD), and fuzzy set qualitative comparative analysis (fsQCA).

The findings reveal that, during a crisis, standalone resilience strategies are not enough. To guarantee performance, healthcare services require a combination of resilience strategies and a negation of challenges.

This research extends our current knowledge of healthcare operational management by offering optimal configurations of resilience strategies to manage performance during extreme disruptions. Thus, it offers strategic insights into how health-service managers can be more resilient during a crisis.

Drawing on the dynamic capability view (DCV), this research determines the suitable configurations of resilience strategies for sustainable tourism supply chain performance amidst “extreme” disruptive events affecting the entire supply chain.

This research applies a multi-study and multi-method approach. Study 1 utilizes in-depth interviews to identify a list of tourism supply chain sustainability risks and resilience strategies. Study 2, using quality function deployment (QFD) technique, determines the most important resilience strategies corresponding to highly significant risks. Study 3, on the other hand, adopts a fuzzy set qualitative comparative analysis (fsQCA) to determine the best recipe of resilience strategies and risks to make the tourism supply chain performance sustainable.

The findings reveal that sustainable tourism performance during an extreme disruptive event (e.g. COVID-19 health crisis) depends on the combined effect of tourism resilience strategies and risks instead of their individual effect.

The research findings offer significant managerial implications. Managers may experiment with multiple causal conditions of risks and resilience strategies to engender the expected outcome.

This research extends current knowledge on tourism supply chain and offers insights for managers to mitigate the risks and ensures sustainable performance in the context of extreme disruptive events.

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.

This study first examines whether the capital structure served as a mediator between financing mix and firm performance. Furthermore, the authors investigate whether this mediation effect was moderated by the financial environment. Grounded in the pecking order theory (POT) and dynamic capability view (DCV), this study extends these concepts by configuring all links to a moderated mediation model.

The study uses the structural equation modelling (SEM) approach and multiple regression analysis using “Hayes PROCESS macro” to empirically examine the model using data collected from 384 informal micro-firms operating in Bangladesh.

In the mediation analyses, results found that capital structure was a mediator in the link between financing mix and firm performance. In further moderated mediation analyses, outcomes confirmed that this mediation effect was moderated by the financial environment.

This investigation shows paths for future research including implications for theory advancement and intervention development.

This investigation offers the first step towards examining a moderated mediation effect, using POT and DCV, of the relationship between financial environment, financing mix, capital structure and firm performance.

This research aims to develop a decision support framework to determine the optimal strategies for mitigating supply chain sustainability (SCS) barriers.

To operationalize the research objectives, both qualitative and quantitative methods were adopted. The qualitative phase comprised a field study, while a quality function deployment approach and optimisation technique were used in the quantitative phase.

This study finds that a lack of support from top management and cost and utility supply problems are the primary barriers to SCS. This study also finds that incentives for suppliers to implement sustainability practices, awareness building among supply chain members and supplier development are the main strategies to mitigate the barriers.

The findings of this study will assist the supply chain managers in prioritizing sustainability barriers and implementing the optimal strategies to mitigate the barriers.

Founded on the stakeholder theory and dynamic capability view, this study developed a unique decision support framework to identify appropriate strategies for mitigating SCS barriers while optimizing the social, environmental and economic objectives of the supply chain.

The purpose of the study is to investigate the role of service convenience in the relationship between organizational characteristics (such as brand equity, store ambiance, store layout, customer information and employee responsiveness) on customer engagement behaviors (CEBs), including service improvement, customer cooperation, positive word-of-mouth and customer helping customers. It examines two research models, with service convenience as a separate antecedent of CEBs (model A) and as a mediating variable between organizational characteristics and CEBs (model B).

Using a positivist paradigm, data were collected from 384 respondents representing the existing customers of grocery retailers based in India via a survey instrument. Data were analyzed using partial least squares (PLS) path modeling.

Results demonstrate service convenience as a motivational driver of CEBs. Results also show that the organizational characteristics significantly influence service convenience which in turn impacts CEBs.

The findings have important implications for store managers in effective management of customers' time and effort in terms of saving customers' time and effort as well as motivating customers to elicit their engagement behaviors.

The originality of this paper lies in identifying the impact of organizational characteristics in helping customers to save time and effort in their shopping activities and thereby elicit various types of CEBs. The paper also adds to knowledge by examining the role of service convenience in the nexus between organizational characteristics and CEB types.

Poultry production supply chains produce substantial wastes that are transformable into favorable environmental outcomes and profitable products. While overwhelming evidence supports this conclusion, scant literature is available on how such transformations are doable. Using systems dynamics, this study addresses this research gap in a national (Bangladesh) context. This study aims to contribute an integrated model for poultry supply chains that incorporate reverse flows of wastes using system dynamics (SD) engineering with empirical simulations.

This study applies SD and simulations of alternative supply chains with versus without reverse loops that transform wastes into viable products in poultry production and downstream marketing operations. This research reports on an in-depth case study of systems thinking and use of the Massachusetts Institute of Technology systems dynamics software. Data for the study are longitudinal and come from written operation records and extensive, repeated, one-on-one Interview from a large poultry plant operation in Bangladesh.

This study finds that several current poultry waste production problems are solvable through an integrated approach that generates viable new marketable products with substantial profitable opportunities that also contributes to reductions in industrial pollution. This study confirms that forward, backward and reverse supply chains need to be under one umbrella system to achieve economic, social and environmental benefits.

This study’s SD model and outputs need additional applications in poultry supply chains in multiple countries. Applying the firm-level model that this study provides is a necessary but insufficient step toward empirical confirmation through replicating.

Despite the proliferation of supply chain risk management (SCRM) studies, a theoretically supported and empirically validated study on justifying the antecedents and measurement dimensions of supply chain resilience (SCRE) is rare. Therefore, drawing on extensive literature review, this study aims to explore and validate the antecedents and the measurement dimensions of SCRE.

This study uses positivist paradigm using quantitative method. However, it also uses qualitative approach in the form of field study to contextualize the research model. The quantitative study is conducted by operationalising a survey research. Partial least square-based structural equation modelling has been used to analyze the data.

Study results suggest that the psychometric properties of the SCRE dimensions, supply chain readiness, response and recovery, are reliable and valid. It also affirms that supply chain orientation (SCO), learning and development and supply chain risk management culture (SCRMC) significantly influence the SCRE. Further, SCRMC mediates the relationship between SCO and SCRE.

The findings of this study will assist the supply chain managers in taking decision on readiness capability development and reducing the decisional uncertainty during response and recovery.

Drawing on extensive extant literature on crisis management and supply chain management, this study develops and validates the measurement dimensions of SCRE in terms of readiness, response and recovery, as well as justifies the antecedent factors of SCRE, which is a novel attempt in SCRM literature.

This paper aims to illuminate the nuanced dynamics of green supply chain management (GSCM), specifically focusing on the intersections of supplier relationships, supplier governance and organizational agility. Recognizing a gap in the understanding of how these elements confluence to promote green purchasing, the paper uses a quantitative study on data collected from the Australian food industry. Advanced analysis techniques provide empirical evidence underscoring the pivotal roles these elements play, expanding on current GSCM literature within a resource-based view.

This study, based on a questionnaire sent to Australian food professionals, used higher-order reflective constructs to assess supplier relationships and governance. Data was analyzed using partial least squares structural equation modeling and Hayes PROCESS, considering factors like firm revenue and manager experience. Both the reliability of measures and mediation hypotheses were stringently validated using established guidelines.

The comprehensive study validated supplier governance's key influence on green purchasing and supplier relationships. Notably, organizational agility emerged as a crucial mediator, underscoring the interplay of these constructs. Concurrently, the reflective measurement model exhibited robust validity and reliability. Interestingly, demographic factors such as company size, revenue and managerial experience showed no discernible impact on green purchasing practices.

In the Australian food sector, supplier governance and relationships are pivotal for advancing green purchasing. This study emphasizes the value of organizational agility in amplifying these practices. Managers, when aligning with supplier relationships enhanced by communication and mutual aid, can foster robust green initiatives. Embracing these insights and the critical importance of supplier governance, managers can drive more sustainable, informed supply chain decisions in the industry.

In pursuit of understanding the relationship between supplier governance, supplier relationships and green purchasing, this research uniquely situates itself within the resource-based view (RBV) to reveal critical theoretical and practical implications. By focusing on the Australian food industry, the study spotlights the often-overlooked mediating role of organizational agility in linking supplier relationships with green purchasing efforts. In doing so, this research not only strengthens the argument for fortified supplier relationships – as a catalyst for enhancing agility and thereby green practices – but also re-contextualizes the RBV in a fresh light. This new perspective provides managers with an enriched model, emphasizing the imperative of solid supplier governance for sustainable, agile and green supply chain operations in the food domain.