Big data analytics adoption: an empirical study in the Malaysian warehousing sector

Siti Norida Wahab, Muhammad Iskandar Hamzah, Nazura Mohamed Sayuti, Wei Chern Lee and Say Yik Tan

International Journal of Logistics Systems and Management, 2021, vol. 40, issue 1, 121-144

Abstract: This paper aims to identify the factors affecting big data analytics (BDA) adoption in the Malaysian warehousing sector. The technology-organisation-environment (TOE) model serves as the underpinning framework. The survey data from 110 logistics firms were collected and analysed using PLS-SEM. The empirical results revealed that relative advantage, technological infrastructure, absorptive capability and government support influence the levels of BDA adoption, whilst industry competition appeared to be of no significant influence. This study is expected to facilitate warehousing firms in implementing the most appropriate strategies in adopting BDA. Warehousing firms that place great emphasis on operational superiority, ICT infrastructures, and technology assimilation, are more likely to adopt BDA. Considering that there is a paucity of evidence regarding the determinants of BDA adoption among Malaysian warehousing firms, this study enriches TOE-based literature on BDA. Furthermore, the findings potentially assist logistics practitioners in developing a holistic blueprint in managing their large data sets.

Keywords: big data analytics; BDA; warehousing; sustainable warehouse; fourth industrial revolution; IR 4.0; technological advancement. (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (4)

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