Title: Behavioural supply chain management: evolving human frontiers in supply chains with bibliometric analysis
Authors: Amarjeet Singh; Kaushalendra Pal Singh; Shalini Rawal
Addresses: Department of Commerce, Shri Ram College of Commerce, University of Delhi, North Campus, Maurice Nagar, Delhi – 110007, India ' Department of Commerce, Sri Aurobindo College, University of Delhi, Shivalik, Malviya Nagar, New Delhi-110017, India ' Department of Commerce, Ram Lal Anand College, University of Delhi, Benito Juarez Road, New Delhi-110021, India
Abstract: This paper conducts a comprehensive bibliometric analysis of behavioural supply chain management (BSCM) literature over two decades, focusing on human factors' role in supply chain dynamics. It synthesises scholarly articles and conference papers to track the field's evolution, identify influential works, and spotlight emerging trends. The findings emphasise a growing acknowledgment of human decision-making, biases, and social dynamics in shaping supply chain efficiency and resilience. By integrating behavioural sciences, BSCM challenges traditional rational decision-making assumptions, offering a deeper understanding of supply chain complexities. Utilising Scopus's tools and BIBLIOSHINY software, the study employs advanced data representation techniques to map citation networks, influential authors, and thematic clusters in BSCM literature. Results indicate a post-2020 surge in research output, with significant international collaborations across academic disciplines. Visual aids like keyword maps illuminate prevalent topics and evolving research areas. Network visualisation reveals dense research hubs and collaborative patterns within the field. This analysis provides a systematic overview of BSCM's intellectual journey, advocating for future research merging human behaviour with technological advancements through an interdisciplinary framework drawing from psychology, sociology, and organisational behaviour.
Keywords: behavioural supply chain management; BSCM; human factors; bibliometric analysis; collaboration.
DOI: 10.1504/IJSTM.2024.145229
International Journal of Services Technology and Management, 2024 Vol.29 No.2/3/4, pp.240 - 260
Received: 29 Mar 2024
Accepted: 31 May 2024
Published online: 28 Mar 2025 *