https://orcid.org/0000-0003-0678-9519
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Abstract
The dynamic and ever-evolving landscape of modern technologies, consumer preferences, and competitive forces pose a perpetual challenge to the adaptive capabilities and resilience of supply chains (SC). In response, enterprises are increasingly considering the integration of artificial intelligence (AI) to facilitate strategic metamorphosis, thereby giving rise to a plethora of AI-based functional applications in the realm of supply chain management (SCM). Despite the potential benefits of AI applications in current SCs, very few cases of their successful implementation can be found in the industry, and research into the driving forces and factors impacting the implementation of AI applications in SCs remains scarce. Accordingly, this study explores the literature to discern emerging researched topics, patterns of AI implementation in SC and understand why the enthusiasm around this implementation does not translate into successful action through an investigation around the barriers and enablers of AI implementation in SC. To answer our research questions, we performed a systematic topic modelling-based inductive content analysis to scrutinise the researched topics and patterns in AI implementation in SC and deductively identify the different categories of barriers to and enablers of AI implementation in SCs. To further refine and validate the findings, a group of experts were consulted using semi-structured interviews, which served to both validate and expand upon the identified categories. Finally, we developed a framework for understanding AI implementation in SCs.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
Youssra Riahi
Youssra Riahi is currently a PhD student in Supply Chain Management at Rabat Business School, International University of Rabat, Morocco. She received her master’s degree from the College of Engineering and Architecture, International University of Rabat, Morocco. During her PhD studies, she worked as a lecturer of research methodology at Rabat Business School, International University of Rabat, Morocco. Her research interests include Artificial Intelligence applications and potential in Supply Chain, Technology-driven Supply Chain transformation, and Supply Chain maturity. Her publication record includes articles published in international peer-reviewed journals such as Expert Systems with Application, Production Planning and Control, and Journal of Knowledge Management.
Tarik Saikouk
Dr. Tarik Saikouk holds a degree in industrial systems engineering from the University of Technology of Troyes, France (2009), a Ph.D. in Supply Chain Management from the University of Grenoble, France (2013), and he defended his HDR at the University of Grenoble Alpes in 2023. He is currently a Full Professor of Supply Chain Management at Excelia Business School in La Rochelle, France, and serves as the Director of the Supply Chain department. Additionally, he is an Associate Editor for the French Journal of Industrial Management. With a unique academic background in both engineering and management sciences, he brings a distinctive research perspective that focuses on the social complexity of supply chain management. His research interests encompass social capital mobilization, social dynamics, and lean management practices within the supply chain. Dr. Saikouk’s work has been published in various peer-reviewed journals, including EMR, Production Planning & Control, International Journal of Logistics Management, Expert Systems With Applications, and Technological Forecasting and Social Change.
Ismail Badraoui
Dr. Badraoui Ismail is an assistant professor of engineering management at the College of Engineering at Abu Dhabi University (ADU). He received his Ph.D. in Operations Research and Logistics from Wageningen University and Research in the Netherlands, and his research focuses on inter-firm collaboration in agri-food supply chains. He specializes in empirical research that includes both quantitative and qualitative methods. Before joining ADU, Dr. Badraoui was a lecturer and later an assistant professor of operations and supply chain management at the International University of Rabat between 2013 and 2022. Before entering academia, Dr. Badraoui worked as a project manager at the Agricultural Development Agency in Morocco, where he managed international development projects funded by international institutions such as the World Bank and the African Development Bank.
Samuel Fosso Wamba
Dr. Samuel Fosso Wamba is a Full Professor in Information Systems and Data Science and the Associate Dean for Research at TBS Education, France. He is also a Distinguished Visiting Professor at The University of Johannesburg, South Africa. He earned his Ph.D. in industrial engineering at the Polytechnic School of Montreal, Canada. His current research focuses on the adoption, use, and impacts of information technology. He is among the 2% of the most influential scholars globally based on the Mendeley database, which includes 100,000 top scientists for 2020, 2021, 2022, and 2023. He ranks in ClarivateTMs 1% of most cited scholars worldwide for 2020, 2021, and 2022 and in CDO Magazine’s Leading Academic Data Leaders 2021.