Search results

Supply chain resilience and knowledge management (KM) processes have received increasing attention from researchers and practitioners. Nevertheless, previous studies often treat the two streams of literature independently. Drawing on the knowledge-based theory, this study aims to reconcile these two different streams of literature and examine how and when KM processes influence supply chain resilience.

This research develops a conceptual model to test a sample of data from 203 Chinese manufacturing firms using a structural equation modeling method. Specifically, the current study empirically examines how KM processes affect different forms of supply chain resilience (supply chain readiness, responsiveness and recovery) and examines the moderating effect of blockchain technology adaptation and organizational inertia on the relationship between KM processes and supply chain resilience.

The findings show that KM processes positively affect three dimensions of supply chain resilience, i.e., supply chain readiness, responsiveness and recovery. Besides, the study reveals that blockchain technology adoption positively moderates the relationships between KM processes and supply chain resilience, whereas organizational inertia negatively moderates these above relationships.

This research linked the two research areas of supply chain resilience and KM processes, further bridging the gap in the research exploration of KM in the supply chain field. Next, this study contributes to supply chain resilience research by investigating how KM systems positively impact supply chain readiness, responsiveness and recovery. In addition, this study found a moderating effect of blockchain technology adaption and organizational inertia on the relationship between KM processes and supply chain resilience. These findings provide a reference for Chinese manufacturing firms to strengthen supply chain resilience, achieve secure supply chain operations and gain a competitive advantage in the supply chain. This studys’findings advance the understanding of supply chain resilience and provide practical implications for supply chain managers.

The construction of digital supply chains to integrate internal and external resources is becoming an important path for manufacturing enterprises to gain competitiveness. However, at present, research on the internal mechanisms of digital supply chain capabilities (DSCC) and enterprise sustainable competitive performance (ESCP) has not been sufficiently studied. Based on contextual ambidexterity theory, this study investigates whether DSCC could enable the realization of supply chain ambidexterity and further explains the mediating role of supply chain ambidexterity on DSCC and ESCP, and the boundary conditions of supply chain governance on supply chain ambidexterity and ESCP.

With a survey data set of 232 Chinese manufacturing enterprises from different industries, the study empirically tests a moderated mediating model and conducts hierarchical linear modeling and bootstrap to test the study's hypotheses.

The results demonstrate that: (1) DSCC positively enhance ESCP; (2) supply chain ambidexterity, which can be regarded as a synergic ability of supply chain alignment and adaptability, partially mediates the positive relationship between DSCC and ESCP; and (3) supply chain governance such as incentive governance positively moderates the association between supply chain ambidexterity and ESCP, but there is no evidence that relational governance moderates their relationship.

This paper proposes a new interpretive perspective to understand digital supply chains. More importantly, it reveals the importance of DSCC in contributing toward supply chain ambidexterity and ESCP, and demonstrates the differential regulating action of incentive and relational governance on the association between supply chain ambidexterity and ESCP, with implications for both academics and practitioners.

This paper aims to identify and assess global risks in the supply chain performance.

First, global risks are identified and classified according to three criteria: content, probability and context. A set of supply chain performance indicators are then defined by the theory of resource-based view and balanced scorecard. Structural equation modeling is adopted to access risks in the global supply chain.

This article contributes to the supply chain risk management literature by providing a detailed operationalization of global supply chain risk constructs, e.g. natural disasters, war and terrorism, fire accidents, economic and political instability, social and cultural grievances, decease. Empirical results reveal that the supply chain is predominantly regarded as being vulnerable as the proposed model of risks can explain up to 12.6% variance of supplier performance, 25.2% innovation and learning, 23% internal business, 40.6% customer service and 32.4% finance.

These risks are relevant contextual variables in strategic supply chain decisions. Supply chain managers should keep in mind acceptable cost/benefit tradeoffs in their firms' mitigation efforts associated with major contingency risks. This research advocates the allocation of scarce resources to adopt the supply chain strategies of avoidance, speculative and postponement.

The application of the strategic content/process/context to explain global supply chain performance is an interesting approach. Moreover, globalization trends and the COVID-19 perspectives are considered to be the main reasons for increasing such complex factors. Data on validating research models collected during the COVID-19 pandemic reflect the topicality of this study.

COVID-19 is a global event affecting supply chain operations and human health. With COVID-19, many issues in business models, business processes and supply chains, especially in the manufacturing industry, have had to change. The ability to analyze supply chain performances and ensure circularity in supply chains has become one of the factors whose importance has increased rapidly with COVID-19. Therefore, it aims to determine which supply chain performance criteria come to the fore for the company under consideration to accelerate the transformation into high performance and circularity in supply chains.

In this study, a new circular-SCOR model is proposed, and 17 supply chain performance measurement criteria are prioritized for a manufacturing company in the context of circular economy principles during COVID-19 by using stepwise weight assessment ratio analysis and analytical hierarchy process method, separately.

As a result, for both methods, in the case study discussed, the demand fulfillment rate is determined as the most prominent criterion in line with the circular economy principles in the COVID-19 period in manufacturing supply chains.

It is expected that this study will contribute to managers and policy makers as it addresses the “new normal” that started after COVID-19 and the criteria to be considered in supply chain performance measurement and emphasizes the need to adopt circular supply chains, especially in manufacturing industries.

This paper explores how organizational capabilities and path dependence affect the implementation of supply chain (SC) sustainability initiatives. Through the lenses of contingency and evolutionary theory, the paper addresses the underexplored supply chain dynamics that enhance or inhibit sustainability trajectories.

Using in-depth multi-case studies for theory elaboration, five supply chains were studied through open-ended interviews with SC members, secondary data collection and site visit observation. The design consists of a combination of deductive and inductive approaches to elaborate theory on supply chain dynamics and enhanced sustainability trajectories.

The empirical study shows that learning is a fundamental condition for supply chains as they implement sustainability initiatives, and that exploitation capabilities are more frequently used than exploration capabilities. Path dependence plays a role in the outcomes of supply chain sustainability initiatives, which are influenced by both path dependence and contingencies of the contexts in which these systems operate.

This paper puts forward five propositions that emerge from the literature and from the field study results. Although this is an exploratory research bounded by geographical limitations and the limited number of SC cases, the goal of elaborating theory may open up several promising avenues for future large-scale and longitudinal research studies.

By enhancing our understanding of the dynamics of supply chain sustainability trajectories, decision-makers, scholars and policy-makers can better understand how supply chains learn, how they employ SC member capabilities and how they deal with stakeholder resistance.

This paper extends supply chain sustainability theory by addressing the knowledge gap that exists with regard to understanding the dynamics of evolving supply chain sustainability trajectories. This paper sheds additional light on this important topic and contributes in multiple ways to the sustainable supply chain management literature.

This paper introduces a new mathematical model for analyzing the economic benefits of incorporating the fourth party logistics (4PL), which is a contractor (i.e. agent) for the supply chain coordination and construction based on the division of community and the outsourcing development. Based on the physical theory and the wave-particle duality, a supply chain is the special organization whose characteristic has wave-particle duality. The mathematical model enriches the connotation of 4PL and it broadens the thought for 4PL development. Secondly, the proposed mathematical model predicated on transaction costs, is supported by Transaction Cost Theory (TCT) and acts as the theoretical analysis tool of 4PL for coordinating 3-party generic supply chain. Through the model, some trendy conclusions can be drawn to provide theoretical support for 4PL’s practices. Finally, a case illustrates our conclusions.

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.