 Big data analytics adoption: Determinants and performances among small to medium-sized enterprisesParisa Maroufkhani, Ming-Lang Tseng, Mohammad Iranmanesh, Wan Khairuzzaman Wan Ismail and Haliyana Khalid International Journal of Information Management, 2020, vol. 54, issue C Abstract: Big data analytics (BDA) adoption is a game-changer in the current industrial environment for precision decision-making and optimal performance. Nonetheless, the determinants or consequences of its adoption in small and medium enterprises remain unclear, hence the objective of this study. Data analysis of 171 Iranian small and medium manufacturing firms revealed that complexity, uncertainty and insecurity, trialability, observability, top management support, organizational readiness, and external support affect significantly on BDA adoption. The findings confirm the strong impact of BDA adoption in small to medium-sized enterprises, marketing and financial, performance enhancement. Understanding the drivers of BDA adoption helps managers to employ appropriate initiatives that are vital for effective implementation. The results enable BDA service providers to attract and diffuse BDA in small to medium-sized enterprises. Keywords: Big data analytics adoption; Technological-organizational-environmental model; Small to medium-sized enterprises; Firm performance (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ininma:v:54:y:2020:i:c:s026840122030178x DOI: 10.1016/j.ijinfomgt.2020.102190 Access Statistics for this article International Journal of Information Management is currently edited by Yogesh K. Dwivedi More articles in International Journal of Information Management from Elsevier |
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