A Conceptual Model of Supply Chain Risk Mitigation: The Role of Supply Chain Integration and Organizational Risk Propensity

2015 ◽  
Vol 73 ◽  
pp. 95-98 ◽  
Author(s):  
Yubing Yu ◽  
Wei Xiong ◽  
Yanhong Cao
Author(s):  
Mathias Doetzer ◽  
Alexander Pflaum

PurposeInformation-sharing and flexibility are considered to be major tools for risk mitigation and supply chain resiliency. However, less light has been shed on the role of information-sharing as an enabler to utilize flexibility capabilities before and after supply chain disruptions. The aim of this paper is to provide indications on how digitalized information-sharing (DIS) enhances flexibility capability utilization.Design/methodology/approachThe methodology follows a qualitative approach, including 31 transcribed semi-structured interviews with supply chain experts in Germany and Japan.FindingsThe findings indicate that DIS supports flexibility capability utilization in pre- and post-disruptive supply chain management. First, the enhancement of estimated transport time accuracy supports rapid supplier and transport mode adjustment. Second, while the effects of DIS in manufacturing are limited without pre-existing flexibility capabilities, steady internal and external DIS utilizes exciting manufacturing flexibility to cope with disruptions beyond production. Third, track and trace technologies enhance the value of shared data and allow flexibility in the form of demand-oriented distribution, but companies unable to adopt technologies can still enhance flexibility capabilities with DIS using the existing infrastructure.Originality/valueThis paper highlights the essential role of digital information-sharing for flexibility utilization in supply chain risk management. While existing studies engaged with flexibility and information-sharing in supply chain risk management, this study contributes by emphasizing digital information-sharing as a key triggering enabler for flexibility in pre- and post-disruptive phases.


2019 ◽  
Vol 7 (2) ◽  
pp. 503-509
Author(s):  
Jutamat Sutduean ◽  
Watcharin Joemsittiprasert ◽  
Kittisak Jermsittiparsert

Purpose: This study aims to address the existing research gap, as well as to explore the various types of flexibility which could contribute in mitigating supply chain risks. Methodology: In this regard, we consider three aspects under SCR namely; manufacturing process risk, delivery risk, and supply risk. The study explores the relationships among supply chain risk and environmental uncertainty, and the moderating role of supply chain flexibility by employing data of 91 manufacturing companies and develop a structural equation modelling. Results: Developing economies are contributing well in the global trade and are responsible for 50% of the generated global output. They present future prospects for economic growth and pose challenges mainly because of immature supply chain operations. Considering the critical role of emerging economies in global supply chain, such as India and China, it is also important to observe the moderating and driving supply chain risk factors in these regions. It is assumed that this study will not only fill the existing gap in the literature of SCRM but will assist researchers and practicing managers, by enabling them to fully understand certain types of supply chain flexibility, thus reducing the SCR under business environments.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kirti Nayal ◽  
Rakesh Raut ◽  
Pragati Priyadarshinee ◽  
Balkrishna Eknath Narkhede ◽  
Yigit Kazancoglu ◽  
...  

PurposeIn 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).Design/methodology/approachThis 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.FindingsThis 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.Originality/valueThis 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.


2017 ◽  
Vol 32 (1) ◽  
pp. 30-45 ◽  
Author(s):  
Tuan Luu

Purpose The interaction between opening and closing behaviors of ambidextrous leadership produces “change” force throughout the organization in proactive response to market forces. This research aims to assess the role of ambidextrous leadership in fostering entrepreneurial orientation (EO) and market responsiveness. The research also seeks an insight into how external supply chain integration moderates the positive effect of EO on market responsiveness. Design/methodology/approach Research data were collected from 327 meso-level managers and 517 subordinates from chemical manufacturing companies in the Vietnam business context. Findings Research findings shed light on the positive effect of ambidextrous leadership on EO, which in turn contributes to market responsiveness. The moderation role that external supply chain integration plays on the EO–market responsiveness linkage was also grounded on the data set. Originality/value Through the identification of the predictive roles of ambidextrous leadership and EO for market responsiveness, the current research indicates the convergence between leadership, EO and market responsiveness research streams.


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