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The purpose of this paper is to investigate the relationship between two major constructs (supply chain management practices (SCMP) and supply chain performance measures), which determines the efficiency and efficacy of retail-supply chain management, using a rigorous empirical method to validate the instrument scale for measuring the validity and reliability of the identified constructs. Additionally, the paper further tests the relationship between SCMP and supply chain performance measures using structural equation modeling (SEM).

Data were compiled and collected from 213 operations and supply chain (SC) heads from leading retail stores in India. Confirmatory factor analysis was used to test the validity of the proposed measurement scale and the relationship is tested using SEM.

The results of the research will help the decision makers in the SC/procurement field to understand the importance of the association between SCMP and supply chain performance measures. Statistical tests show that the implementation of SCMP are associated with supply chain performance measures, which leads to overall improvements; moreover, there is a statistically significant association between the five SCMP and eight SCPM.

This research is also needed to provide more understanding about the SCMP along with the supply chain performance measures and the positive association among them. Overall, this research provides an additional insight into the growing field of the relationships between SCMP and SCPM. Clearly, the field has ample space to grow in terms of research and practice.

This research paper contributes to the literature on supply chain performance measurement.

In India, artificial intelligence (AI) application in supply chain management (SCM) is still in a stage of infancy. Therefore, this article aims to study the factors affecting artificial intelligence adoption and validate AI’s influence on supply chain risk mitigation (SCRM).

This study explores the effect of factors based on the technology, organization and environment (TOE) framework and three other factors, including supply chain integration (SCI), information sharing (IS) and process factors (PF) on AI adoption. Data for the survey were collected from 297 respondents from Indian agro-industries, and structural equation modeling (SEM) was used for testing the proposed hypotheses.

This study’s findings show that process factors, information sharing, and supply chain integration (SCI) play an essential role in influencing AI adoption, and AI positively influences SCRM. The technological, organizational and environmental factors have a nonsignificant negative relation with artificial intelligence.

This study provides an insight to researchers, academicians, policymakers, innovative project handlers, technology service providers, and managers to better understand the role of AI adoption and the importance of AI in mitigating supply chain risks caused by disruptions like the COVID-19 pandemic.

Supply chain managers (SC managers) may make less than optimal decisions for the firm when facing compensation and employment risks. The purpose of this paper is to study two relevant factors (target setting and strategic importance of the supply chain function) that may drive SC managers to perceive more or less risk to their welfare.

The study combines survey data from 133 firms with secondary data in order to reduce source bias and enhance the validity of results. The authors also conducted interviews with supply chain and human resources managers.

The results show that top managers can alter SC managers’ perceived risks. Ambitious targets drive compensation risk but not employment risk. The supply chain function’s strategic importance, on the other hand, decreases employment risk but increases compensation risk.

The authors emphasize two ways that the top management team (TMT) influences SC managers’ perceived personal welfare but acknowledge that there may be others factors. Due to the topic sensitivity, the authors could not collect data on all variables (e.g. individual characteristics) that may affect risk perception. The findings are based on Spanish firms and may not be generalized to other contexts.

This research proposes three suggestions. First, compensation and employment risks should be considered separately when designing compensation and evaluation systems. Second, appropriate performance targets may put compensation risk in a reasonable range that is neither too high to prevent risky-yet-beneficial decisions nor too low to allow nonfeasance. Third, escalating the supply chain’s strategic importance effectively offsets employment risk.

Scholars have repeatedly shown the negative outcomes of SC managers’ perceived compensation and employment risks. Yet, little attention has been given to their antecedents. The study explores two relevant antecedents and provides integrative empirical evidence regarding actions top leaders can take to manage SC managers’ perceived risk and subsequently enhance firm performance.

This study aims to theoretically hypothesise and empirically explore the relationships amongst global supply chain risks, supply chain resilience and mitigating strategies.

The study adopts supply chain resilience as a dynamic capability and resilience capability as a mediating prerequisite in addressing supply chain risk in sourcing, manufacturing and delivery. The moderating role of diverse mitigating strategies is tested to enhance supply chain resilience. Data collected via survey was used for structural equation modelling and additional tests to explore appropriate mitigating strategies for differing risk environments.

Achieving better supply chain resilience capability plays an important mediating role between supply chain risks and resilience, while the relationships depend on the performance of seven mitigating strategies.

The findings contribute to the theoretical development of risk management issues in global supply chains by suggesting the role of supply chain resilience capability.

The findings offer managerial guidance on how to mitigate the global supply chain risk through the appropriate practice of strategies to strengthen supply chain resilience in an uncertain environment.

This is the first empirical research examining the impact of mitigating strategies on supply chain resilience. The results provide practical implications for managing uncertain events and offering theoretical insight for future research in supply chain resilience.

Big data analytics (BDA) capabilities can affect supply chain performance in several ways. The main purpose of this study was to understand how BDA capabilities could affect supply chain performance through supply chain resilience and supply chain innovation.

The study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. Accordingly, 187 responses were collected and analyzed using partial least squares (PLS) in the SmartPLS3.

The results showed that BDA capabilities improve supply chain performance through resilience and innovation of the supply chain.

The present study also contributed to the existing literature by demonstrating the mediating role of supply chain resilience and supply chain innovation between BDA capabilities and supply chain performance. In this context, some theoretical and managerial implications were proposed and discussed.

The purpose of this paper is to discuss which are the most important critical success factors (CSFs) to be attained for determining whether a group of companies in a supply chain (SC) is prepared to undergo a qualitative improvement initiative (QII). By answering four critical research questions, the paper focuses on the role of performance measurement systems (PMSs) as a CSF to support QII and discusses which PMS is more appropriate for the different SC context existing in the new economy.

The methodology adopted in this research relies on different approaches. In order to evaluate the readiness of a company in the SC to start a QII, the authors propose a checklist of CSFs defined through a literature review. Further, to evaluate the impact of PMSs to support QII at the SC level, the authors review PMS literature and discuss the characteristics of the various PMS available. Last, in order to select the best PMS to support the QII of companies belonging to different SC, the authors propose a classification matrix based on the SC characteristics.

The main findings of this research is the understanding of the PMS role in supporting QII at SC level.

The research presented in this paper needs to be validated through the use of case studies, in order to optimize the methodology proposed.

This paper offers to academics, managers and practitioners a structured methodology to select the right PMS to support QII in specific SC contexts.

Few researches are available exploring the correlation between PMS and QII, especially in particular collaborative environments such as SCs. As a consequence, the methodology and findings of this paper add value to the existing body of knowledge and offer good insights for addressing future research.

This study analyzes the role of supply chain ambidexterity (SC-Ambidexterity) in developing supply chain resilience (SC-Resilience). We describe SC-Ambidexterity as a simultaneous application of supply chain adaptability (SC-Adaptability) and supply chain alignment (SC-Alignment) capabilities. We also consider the role of supply chain agility (SC-Agility) in the relationship between SC-Ambidexterity and SC-Resilience. We further suggest that the relationship between SC-Ambidexterity and SC-Resilience may be stronger in case of higher market uncertainty.

Based on the dynamic capabilities view (DCV) of the firm, we develop a set of hypotheses that are tested through a survey of manufacturing firms in Pakistan. The hypothesized model is tested through structural equation modeling (SEM).

The results of this study show a positive effect of SC-Ambidexterity on SC-Resilience. SC-Agility positively mediates the relationship between SC-Ambidexterity and SC-Resilience. However, our results show that this relationship does not vary at different levels of environmental uncertainty.

This study provides the seminal operationalization of SC-Ambidexterity in the supply chain context. It further shows the importance of SC-Ambidexterity and SC-Agility in contributing toward SC-Resilience.

The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The analysis from the literature revealed that the implementation of SCM in the construction industry enhances the industry's value in terms of cost-saving, time savings, material management, risk management and others. The construction supply chain (CSC) can be managed using the pull or push system. This chapter also discusses the origin and proliferation of SCM into the construction industry. The chapter revealed that the concept of SCM has passed through five different eras: the creation era, the use of ERP, globalisation stage, specialisation stage and electronic stage. The findings from the literature revealed that we are presently in the fourth industrial revolution (4IR) era. At this stage, the SCM witnesses the adoption of technologies and principles driven by the 4IR. This chapter also revealed that the practice of SCM in the construction industry is centred around integration, collaboration, communication and the structure of the supply chain (SC). The forms and challenges hindering the adoption of these practices were also discussed extensively in this chapter.

To empirically examine the usefulness and value of supply chain mapping (SC mapping), which has been neglected despite its importance in research and practice.

Based on three combined theoretical perspectives, we conducted a case study on a car manufacturer's managers mapping their downstream supply chain (SC). We conducted semi-structured interviews and a mapping exercise with them, followed by a focus group.

We find differences between individual and corporate SC maps and between how managers define the outbound SC, the SC map they draw and what they say when mapping. The three theoretical perspectives allow us to enrich SC mapping thinking. We focus on boundary objects to formulate propositions. SC mapping and maps are discussed with respect to contemporary SCs and SCM.

Based on a single case study on one firm's outbound SC. Research could be expanded to the company's external partners and follow the development and use of maps in real time.

Highlights the usefulness and difficulties of SC mapping, for individuals and organisations. For the company, it opens avenues for further development and use of SC mapping to improve inter-functional and inter-organisational collaboration.

Confirms the need for SC mapping competences in SCM and consequently the usefulness of teaching SC mapping courses in logistics and SCM programs.

Highlights the usefulness of SC mapping and rekindles interest in SC mapping and maps in SCM. Introduces boundary objects into SCM research.

The purpose of this study was to advance the knowledge of pharmaceutical supply chain (PSC) resilience using complex adaptive system theory (CAS).

An exploratory research design, which adopted a qualitative approach was used to achieve the study’s research objective. Qualitative data were gathered through 23 semi-structured interviews with key supply chain actors across the PSC in the UK.

The findings demonstrate that CAS, as a theory, provides a systemic approach to understanding PSC resilience by taking into consideration the various elements (environment, PSC characteristics, vulnerabilities and resilience strategies) that make up the entire system. It also provides explanations for key findings, such as the impact of power, conflict and complexity in the PSC, which are influenced by the interactions between supply chain actors and as such increase its susceptibility to the negative impact of disruption. Furthermore, the antecedents for building resilience strategies were the outcome of the decision-making process referred to as co-evolution from a CAS perspective.

Based on the data collected, the study was able to reflect on the relationships, interactions and interfaces between actors in the PSC using the CAS theory, which supports the proposition that resilience strategies can be adopted by supply chain actors to enhance this service supply chain. This is a novel empirical study of resilience across multiple levels of the PSC and as such adds valuable new knowledge about the phenomenon and the use of CAS theory as a vehicle for exploration and knowledge construction in other supply chains.