Effect of supply chain resilience on competitive advantage and firm performance under environmental uncertainty in the dairy industry of Iran

The This study aims to investigate how supply chain resilience affects frim performance and competitive advantage in the face of environmental uncertainty in Iran's dairy industry. The present research is practical in terms of purpose and causal in terms of method. The method of data collection was a survey and using a questionnaire tool, whose validity and reliability were confirmed. According to Cochran's formula, where the statistical population is about 200 people, our sample is 127 people. Reliability and reliability tests such as construct validity and content validity as well as Cronbach's alpha coefficient were also used. Causal tests and structural equation models have also been used to analyze the research data. The findings demonstrate that resilient supply networks enhance both organizational performance and competitive advantage. Likewise, the association between a robust supply chain and competitive advantage as well as the relationship between a resilient supply network and organizational performance are both positively impacted by environmental uncertainty. The study adds to the body of knowledge regarding the dairy industry's competitive advantage, supply chain resilience, and firm performance

Evolution of Supply Chain Collaboration: Implications for the Role of Knowledge

Increasingly, research across many disciplines has recognized the shortcomings of the traditional “integration prescription” for inter-organizational knowledge management. This research conducts several simulation experiments to study the effects of different rates of product change, different demand environments, and different economies of scale on the level of integration between firms at different levels in the supply chain. The underlying paradigm shifts from a static, steady state view to a dynamic, complex adaptive systems and knowledge-based view of supply chain networks. Several research propositions are presented that use the role of knowledge in the supply chain to provide predictive power for how supply chain collaborations or integration should evolve. Suggestions and implications are suggested for managerial and research purposes

Sustainable and resilient supply chain management : scale development

Paper delivered at the 21st Logistics Research Network annual conference 2016, 7th-9th September 2016, Hull. Abstract Purpose: This paper reports on the status of an ongoing empirical study to enhance our understanding of factors contributing to better supply chain performance in the context of sustainable and resilient supply chain management, and updates the literature review and research framework presented in Joradon et al. (2015). That paper operationalized eight firm practices that are now being tested in a quantitative study to investigate how sustainable and resilient supply chain management might improve supply chain performance. Sustainable and resilient supply chain management requires firms to consider supply chain performance within environmental, economic, social, vulnerability, and capability parameters. This paper presents the scale development for this study which will analyse the current level of sustainable and resilient supply chain management practices in firms and help guide them to assess and amend their procedures and processes to become more sustainable and resilient in future. Research approach: The empirical study contains measurement scale and constructs developed according to Churchill (1979) two-phase framework. The first phase was based on data gathered from interviews with nine managers across four electronic companies and two distributors in Thailand using semi-structured interviews. The data from the interviews as well as the extant literature was then used to develop measurement scales and constructs for the next phase, which was a survey with approximately 500 electronic companies in Thailand. Findings and Originality: At the date of writing semi-structured interviews have been conducted and some opportunities to shape the measurement scale and constructs have been identified. The survey is currently being completed and the conference presentation will provide results from analysis to date. While the investigation of sustainable and resilient supply chain management together has yet to be explored in a focused way, this paper is original since it offers an investigation of these two topics and their relationship with supply chain performance. Research Impact: The study will produce new performance measurement scales for sustainable and resilient supply chain management as well as an agenda for future research to validate the findings across other sectors and contexts. Mixed-methodologies were applied in this study to ensure face, content and construct validity. Practical Impact: The study will provide direction for firms to measure their supply chain performance in the context of sustainable and resilient supply chain management practices, as well as a proposed set of measurement scales based on sustainable supply chain management and supply chain resilience management practices to measure the impact of these practices to the firm. The findings will help firms to understand their level of sustainable and resilient supply chain management in order to improve and adjust their procedures to be more sustainable and resilient in future

The Impact of Industry 4.0 on Supply Chain Capability and Supply Chain Resilience: A Dynamic Resource-Based View

Industry 4.0, a collection of emerging intelligent and digital technologies, has been the main interest of both researchers and practitioners in operations management (OM) in recent years. Despite its proclaimed effectiveness in supply chain (SC) management, empirical studies examining the effects of Industry 4.0 adoption on SC resilience have been underrepresented in the current OM literature. In our study, we explore the effects of 16 Industry 4.0 technologies and IT advancement concerning SC resilience through the mediating roles of SC capabilities with respect to SC collaboration and SC visibility. Following the dynamic resource-based view (RBV), we regard Industry 4.0 adoption and IT advancement as two important IT resources with heterogeneity, SC collaboration and SC visibility as essential SC dynamic capabilities, and SC resilience as competitive advantages. We suggest the combination and evolution of IT resources and dynamic SC capabilities helps firms obtain the competitive advantage regarding SC resilience. Using data from a survey of 408 Chinese manufacturing firms, we reveal Industry 4.0 adoption is positively related to IT advancement and that Industry 4.0 has a nonsignificant impact on SC capabilities, whereas IT advancement has a positive impact on SC capabilities. Additionally, both SC collaboration and visibility positively influence SC resilience and significantly mediate the impacts of Industry 4.0 and IT advancement on SC resilience. Our study offers an enhanced understanding of the specific flows between Industry 4.0 and SC resilience and provides nuanced insights for both literature and practice

Business networks SMEs and inter-firm collaboration: a review of the research literature with implications for policy

This literature review, which was commissioned by the UK's Small Business Service is concerned with business networks, and their importance for the small business community. Business networks are sometimes defined as comprising only inter-firm relationships (e.g. those that exist between component supplier and a manufacturer). However, it soon becomes apparent that a broader perspective is required, if research findings are to contribute meaningful insights for policy and practice. We have therefore incorporated research evidence on personal networks, notably those associated with entrepreneurship, and on links between firms and supporting institutions, such as trade associations, government agencies and universities

Investigating the relationship between supply chain innovation, risk management capabilities and competitive advantage in global supply chains

Purpose- This study aims to propose and validate a theoretical model to investigate whether supply chain innovation positively affects risk management capabilities, such as robustness and resilience in global supply chain operations, and to examine how these capabilities may improve competitive advantage. Design/methodology/approach- A theoretical model was developed from extant studies and assessed through the development of a large-scale questionnaire survey conducted with South Korean manufacturers and logistics intermediaries involved in global supply chain operations. The data were analysed using confirmatory factor analysis (CFA) and structural equation modelling (SEM) to validate the suggested model. Findings- It was found that innovative supply chains have a discernible positive influence on all dimensions of risk management capability, which in turn has a significant impact on enhancing competitive advantage. Therefore, this work provides evidence for the importance of supply chain innovation and risk management capability in supporting competitive advantage. Research limitations/implications- This study contributes to providing an empirical understanding of the strategic retention of supply chain innovation and risk management capabilities in the supply chain management (SCM) discipline. Further, it confirms and expands existing theories about innovation and competitive advantage. Practical implications- The finding provides firm grounds for managerial decisions on investment in technology innovation and process innovation. Originality/value- This research is the first of its kind to empirically validate the relationships between supply chain innovation, risk management capabilities and competitive advantage. Keywords: Supply Chain Innovation, Robustn

Artificial Intelligence, Firm Resilience to Supply Chain Disruptions, and Firm Performance

In today’s uncertain and disruptive environment, every firm in the supply chain is susceptible to disruptions that may require high levels of firm resilience. We argue that recent advances in artificial intelligence (AI) may help. This paper expands our understanding of the role of AI in shaping firm resilience to supply chain disruptions and, in turn, enhancing firm performance. In doing so, we conceptualize AI use as a dynamic information processing capability—consisting of three dimensions: coordinating/integration, learning, and strategic competitive response capability—as an antecedent of firm resilience to supply chain disruptions, and firm resilience as a mediation factor that links AI use and firm performance. By analyzing the data gathered using a two-stage survey from 107 companies in Europe, we found AI use has a direct impact on firm resilience, and firm resilience fully mediates the relationship between AI use and firm performance. The findings of this study contribute to IT and supply chain literature