Understanding the acceptance of Blockchain use in the supply chain through the Lens of the technology-organization-environment (TOE) framework

Authors

Abstract

The present paper highlights the adoption of blockchain technology (BC) in the supply chain and logistics. Based on the technological, organizational, and environmental (TOE) framework, an integrated model of the unified theory of acceptance and use of technology (UTAUT) was developed to bring light on the individual determinants of blockchain adoption in supply chain and logistics among French supply chain management professionals. Moreover, the model considers environmental and technological factors as independent variables to value the contribution of the TOE framework in the theoretical model to cover the BC adoption determinants.

Based on partial least squares structural equation modeling (PLS-SEM), a survey among 108 supply chain professionals was conducted in France. The results indicate the significant impact of performance expectancy, facilitating conditions, and technology readiness on the intention to adopt blockchain in the supply chain. Furthermore, the insignificance of environmental factors and trust in technology provide relevant contextual insights into the acceptance of this technology in France. These findings extend the existing blockchain literature adoption and provide insights for future research.

Author Biographies

Tharwa Najar, ISAEG

(Ph.D., HDR, University of Gafsa, Tunisia), is an associate professor in Business Administration and a Doctor in Management Sciences at the University of Gafsa, Tunisia. She’s a member of the RIGUEUR laboratory. Her works have been published in management journals and supply chain journals. Her research interest includes supply chain management, information systems use, and inter-organizational relationships in B2B environment in the automotive industry. She currently investigates Knowledge Management, open innovation, and open business models in large companies and SMEs.

Leila Ennajah , Associate Professor in Information systems management

Leila ENNAJEH is an Assistant Professor of Information Systems Management at ISCAE and a member of the RIGUEUR laboratory. She holds a Ph.D. in Management at Manouba University. Her research interests include supply chain management and open-source software adoption. Recently, they have been extended to concern the adoption of emerging technologies like blockchain and artificial intelligence within organizations and from a supply chain perspective. Additionally, she is interested in digital transformation management.

Adel Aloui, Associate Professor in ISTEC Business School, CERI, France

Adel ALOUI is Associate Professor of Management at ISTEC Business School. He holds a doctorate in Management Sciences and Industrial Engineering. His research contributes to the development of an understanding of the interaction between technical and organizational objects. His research focuses on the supply chain management, organization, CSR and innovation.

Samuel Fosso Wamba, TBS Education

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 information technology's business value, adoption of inter-organizational systems, use and impacts, supply chain management, electronic commerce, blockchain, artificial intelligence for business, social media, business analytics, big data, and open data. He has published papers in a variety of information systems and operations management journals.

Published

2024-09-01

How to Cite

Najar, T., Ennajah, L., Aloui, A., & Fosso Wamba, S. (2024). Understanding the acceptance of Blockchain use in the supply chain through the Lens of the technology-organization-environment (TOE) framework. Systèmes d’Information Et Management (French Journal of Management Information Systems), 29(3), 7–50. Retrieved from https://revuesim.org/index.php/sim/article/view/1306

Issue

Vol. 29 No. 3 (2024): Varia

Section

Empirical Research Article

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