The application of organizational information processing theory in supply chain management strategy research: A bibliometric review

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Abstract

This study investigates the role of organizational information processing theory (OIPT) (Galbraith, 1974) in enhancing corporate and business decision-making within the complex and dynamic landscape of supply chain management (SCM). By conducting a comprehensive bibliometric analysis of peer-reviewed articles indexed in the Web of Science (WoS), utilizing bibliometric tools such as VOSviewer (van Eck & Waltman, 2010) and Scimago Graphica (Hassan-Montero et al., 2022), this research aims to map the intellectual structure and evolution of OIPT in the SCM domain. The study explores the current state of OIPT application in SCM, identifies key research themes and trends, and uncovers the relationships between OIPT and other relevant theoretical frameworks. Findings reveal that OIPT has emerged as a critical lens for understanding how organizations process information to make effective SCM decisions, particularly in emerging technologies like the Internet of Things (IoT), artificial intelligence (AI), and blockchain. This research contributes to the theoretical development of SCM by elucidating the mechanisms through which information processing influences supply chain performance. Furthermore, it provides practical implications for managers seeking to leverage information technology (IT) to improve decision-making and build resilient supply chains. By identifying knowledge gaps and promising research avenues, this study stimulates future research on integrating OIPT with other theoretical perspectives and exploring its application in specific SCM contexts.

Keywords: Organizational Information Processing Theory, Supply Chain Management, Bibliometric, VOSviewer, Web of Science

Authors’ individual contribution: Conceptualization — Y.Y., A.A.R., K.A., and Y.A.A.; Methodology — Y.Y.; Formal Analysis — Y.Y. and Y.L.; Investigation — Y.Y.; Writing — Original Draft — Y.Y.; Writing — Review & Editing — Y.Y. and A.A.R.; Visualization — Y.Y.; Supervision — Y.Y., A.A.R., K.A., and Y.A.A.

Declaration of conflicting interests: The Authors declare that there is no conflict of interest.

JEL Classification: D830, M110, O330

Received: 19.05.2024
Revised: 01.09.2024; 01.10.2024; 28.02.2025
Accepted: 06.03.2025
Published online: 10.03.2025

How to cite this paper: Yang, Y., Abd. Rahman, A., Abdan, K., Aziz Abdul, Y., & Li, Y. (2025). The application of organizational information processing theory in supply chain management strategy research: A bibliometric review [Special issue]. Corporate & Business Strategy Review, 6(1), 378–391. https://doi.org/10.22495/cbsrv6i1siart14