Abstract
Contemporary supply chains are facing myriad types of risks caused by unprecedented risk factors. This condition motivates us to develop a contemporary supply chain risk typology to help identify and monitor newly surfaced risks and reveal emerging topics and research collaborators to help foster impactful research in supply chain risk management (SCRM). In this paper, we applied the scholarly network analysis approach to critically analyse an extensive list of 345 SCRM journal articles published from 2011 to 2020. We address two research questions: What is the contemporary supply chain risk typology? How can SCRM research be mapped comprehensively in terms of its emerging topics and research collaborators? First, we propose a novel and holistic classification of supply chain risks based on three interconnected perspectives, namely the characteristics, the location, and the impact of risks. Second, we identify five emerging SCRM topics. In each of these emerging topics, we identify the prominent collaborators and the core author, the main research themes, commonly used approaches and theories, and potential research agendas for bridging the identified research gaps. This paper contributes to the field of SCRM by aiding scholars and practitioners in managing contemporary supply chains resiliently and sustainably.
Acknowledgements
Agus Wicaksana would like to acknowledge the financial support from The University of Melbourne via The Faculty of Business and Economics Scholarship.
Data availability statement
This is a review paper, thus the data availability statement is not relevant.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
Agus Wicaksana
Agus Wicaksana is a PhD candidate with a full scholarship from the Faculty of Business and Economics at the University of Melbourne. His research interests are in the area of supply chain risk management and sustainable supply chain management. He completed his master's degree in Supply Chain Management under the prestigious Australia Awards Scholarship. Prior to his academic journey, he worked as a supply chain professional in the manufacturing and mining industries in Indonesia.
William Ho
William Ho is Professor of Operations and Supply Chain Management in the Department of Management and Marketing at the University of Melbourne, Australia. His research expertise includes supply chain risk management, sustainable supply chain management, and strategic sourcing and supplier performance management. William has published over 60 articles in a variety of top-tier academic journals, such as Journal of Operations Management, Operations Research, Decision Sciences, European Journal of Operational Research, and many others. He has over 9,000 citations of his work and an h-index of 34. William currently serves as the Associate Editor of OR Spectrum, and the Editorial Review Board Member of Decision Sciences and IEEE Transactions on Engineering Management.
Srinivas Talluri
Srinivas (Sri) Talluri is currently the Hoagland Metzler Endowed Professor and a Professor of supply chain management at Michigan State University, East Lansing, MI, USA. His research interests are in the areas of supply risk, buyer – supplier relationships, sustainability in supply chains, and performance evaluation. His methodological expertise includes deterministic and stochastic modelling, game theory, empirical methods, and data envelopment analysis. He has authored or coauthored more than 100 articles in journals, such as IIE Transactions, Journal of Operations Management, Decision Sciences, Production and Operations Management Journal, International Journal of Production Research, European Journal of Operational Research, IEEE Transactions on Engineering Management, and others. Sri currently serves as the Co-Editor in Chief for the Decision Sciences Journal. He is a Fellow of the Decision Sciences Institute, and a member of the Decision Sciences Institute and the Production and Operations Management Society.
Alexandre Dolgui
Alexandre Dolgui is a Fellow of IISE, Distinguished Professor and Head of Department at the IMT Atlantique, France. His research focuses on manufacturing line design, production planning and supply chain optimisation under uncertainty. He has written more than 270 articles in peer-reviewed journals and book chapters, over 400 refereed conference papers, 25 edited and 5 co-authored books. He currently serves as the chief editor of the prestigious International Journal of Production Research and is a member of the publishing committee of numerous other international journals. He is also a member of various institutions such as the Institute of Industrial and Systems Engineers (IISE), the Institute for Operations Research and the Management Sciences (INFORMS), and the Institute of Electrical and Electronics Engineers (IEEE).