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Maroufkhani, Parisa; Tseng, Ming-Lang; Iranmanesh, Mohammad; Ismail, Wan Khairuzzaman Wan; Khalid, Haliyana
International journal of information management, October 2020, 2020-10-00, 20201001, Letnik: 54Journal Article
•This study aims to determine the antecedents and performances of adopting big data analytics among medium-sized enterprises.•Firms are lagging far behind in the usage of big data analytics.•Data were gathered from 171 manufacturing firms in Iran using partial least squares approach.•The finding confirms understating the drivers of big data analytics adoption in SMEs. 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.
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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in: SICRIS
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