Big data analytics adoption: determinants and performances among small to medium-sized enterprises

• Main Authors: Maroufkhani, Parisa, Tseng, Ming Lang, Iranmanesh, Mohammad, Wan Ismail, Wan Khairuzzaman, Khalid, Haliyana
• Format: Article
• Published: Elsevier Ltd 2020
• Subjects: HF Commerce
• Online Access: http://eprints.utm.my/id/eprint/91382/; http://dx.doi.org/10.1016/j.ijinfomgt.2020.102190

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.