ABSTRACT
This research aims to develop an assessment model to determine appropriate risk mitigation strategies for the automotive supply chain risks. A two-phased mixed-method approach is adapted, whereas a quantitative one follows qualitative research. Data were collected from 20 supply chain experts of 15 different automotive companies in Turkey. Interviews were conducted with supply chain experts to identify the risks, risk mitigation strategies, and probabilities. Then, a Bayesian network model was created to determine the probabilities of risks and risk mitigation strategies. Scenario and sensitivity analyses were performed to assess the robustness of the model. Operational risk, on the other hand, is ranked the last. Collaboration and flexible transport emerged as the most effective risk mitigation strategies to deal with supply chain risks. This study is expected to contribute significantly to the literature as it is the first to address the risks, risk factors, and risk mitigation strategies in the automotive sector using Bayesian networks.
Disclosure statement
No potential conflict of interest was reported by the author(s)
Additional information
Notes on contributors
Sinan Çıkmak
Sinan Çıkmak is a Lecturer in department of Administration and Organization in Social Sciences Vocational School at Duzce University, Turkey. He completed his PhD (2020) and MSc (2012) at Sakarya University on Business administration, and his undergraduate studies at Kırıkkale University on Industry Engineering (2006). Sinan worked as a production engineer in a company for 5 years after his undergraduate education. His research interests are operations management, logistics and supply chain management.
Mustafa Cahit Ungan
Mustafa Cahit Ungan is a Professor in the Department of Business Administration at Sakarya University, Turkey, where he is the Dean of the Business School. His research interests include manufacturing technology, supply chain flexibility, supply chain risk management, process management, healthcare quality management, and occupational health and safety.