Title: Antecedents and consequences of the use of data analytics in supply chain: the Malaysian perspective

Authors: Moloud Soltanian Fallahieh; Kanagi Kanapathy; Suhana Mohezar

Addresses: Department of Management, Faculty of Business and Economics, University of Malaya, Kuala Lumpur, Malaysia ' Department of Management, Faculty of Business and Economics, University of Malaya, Kuala Lumpur, Malaysia ' Department of Management, Faculty of Business and Economics, University of Malaya, Kuala Lumpur, Malaysia

Abstract: In recent years, the amount of data has grown in almost all sectors of the global economy. Firms can incorporate a data-driven supply chain strategy to gain valuable insights into improvement in product and process designs and in demand and supply management. The present study examines how technological, organisational and environmental (TOE) factors contribute as antecedents for the use of data analytics in the supply chain (DASC) and consequently on improving supply chain competitiveness and firm performance. The study contributes to the mediating role of supply chain competitiveness in the relationship between DASC and firm performance. The study adopts a quantitative methodology using a survey with 141 usable responses. The study significantly contributes to analysing the mediating effect of supply chain competitiveness and shows that supply chain competitiveness is the key through which the use of DASC would lead to firm performance.

Keywords: technological; organisational and environmental; TOE; data analytics; big data; SCOR; supply chain performance; competitiveness.

DOI: 10.1504/IJSOM.2024.143219

International Journal of Services and Operations Management, 2024 Vol.49 No.4, pp.501 - 521

Received: 14 Mar 2022
Accepted: 28 Apr 2022
Published online: 10 Dec 2024 *

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