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

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  • Maroufkhani, Parisa
  • Tseng, Ming-Lang
  • Iranmanesh, Mohammad
  • Ismail, Wan Khairuzzaman Wan
  • Khalid, Haliyana

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.

Suggested Citation

  • Maroufkhani, Parisa & Tseng, Ming-Lang & Iranmanesh, Mohammad & Ismail, Wan Khairuzzaman Wan & Khalid, Haliyana, 2020. "Big data analytics adoption: Determinants and performances among small to medium-sized enterprises," International Journal of Information Management, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:ininma:v:54:y:2020:i:c:s026840122030178x
    DOI: 10.1016/j.ijinfomgt.2020.102190
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    Cited by:

    1. Asadi, Shahla & Nilashi, Mehrbakhsh & Iranmanesh, Mohammad & Hyun, Sunghyup Sean & Rezvani, Azadeh, 2022. "Effect of internet of things on manufacturing performance: A hybrid multi-criteria decision-making and neuro-fuzzy approach," Technovation, Elsevier, vol. 118(C).
    2. Gaurav, Akshat & Gupta, Brij B. & Panigrahi, Prabin Kumar, 2022. "A novel approach for DDoS attacks detection in COVID-19 scenario for small entrepreneurs," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    3. Behl, Abhishek & Gaur, Jighyasu & Pereira, Vijay & Yadav, Rambalak & Laker, Benjamin, 2022. "Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19 – A multi-theoretical approach," Journal of Business Research, Elsevier, vol. 148(C), pages 378-389.
    4. Bag, Surajit & Dhamija, Pavitra & Bryde, David J. & Singh, Rajesh Kumar, 2022. "Effect of eco-innovation on green supply chain management, circular economy capability, and performance of small and medium enterprises," Journal of Business Research, Elsevier, vol. 141(C), pages 60-72.
    5. Luay Jum’a & Muhammad Ikram & Ziad Alkalha & Maher Alaraj, 2022. "Do Companies Adopt Big Data as Determinants of Sustainability: Evidence from Manufacturing Companies in Jordan," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 479-494, December.
    6. Zoppelletto, Alessia & Orlandi, Ludovico Bullini & Zardini, Alessandro & Rossignoli, Cecilia & Kraus, Sascha, 2023. "Organizational roles in the context of digital transformation: A micro-level perspective," Journal of Business Research, Elsevier, vol. 157(C).
    7. Kirti Nayal & Rakesh D. Raut & Vinay Surendra Yadav & Pragati Priyadarshinee & Balkrishna E. Narkhede, 2022. "The impact of sustainable development strategy on sustainable supply chain firm performance in the digital transformation era," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 845-859, March.
    8. Perdana, Arif & Lee, Hwee Hoon & Arisandi, Desi & Koh, SzeKee, 2022. "Accelerating data analytics adoption in small and mid-size enterprises: A Singapore context," Technology in Society, Elsevier, vol. 69(C).
    9. Kalaitzi, Dimitra & Tsolakis, Naoum, 2022. "Supply chain analytics adoption: Determinants and impacts on organisational performance and competitive advantage," International Journal of Production Economics, Elsevier, vol. 248(C).
    10. Lutfi, Abdalwali & Alrawad, Mahmaod & Alsyouf, Adi & Almaiah, Mohammed Amin & Al-Khasawneh, Ahmad & Al-Khasawneh, Akif Lutfi & Alshira'h, Ahmad Farhan & Alshirah, Malek Hamed & Saad, Mohamed & Ibrahim, 2023. "Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    11. Oesterreich, Thuy Duong & Anton, Eduard & Teuteberg, Frank & Dwivedi, Yogesh K, 2022. "The role of the social and technical factors in creating business value from big data analytics: A meta-analysis," Journal of Business Research, Elsevier, vol. 153(C), pages 128-149.
    12. Ghazanfar Ali Abbasi & Noor Fareen Abdul Rahim & Hongyan Wu & Mohammad Iranmanesh & Benjamin Ng Chee Keong, 2022. "Determinants of SME’s Social Media Marketing Adoption: Competitive Industry as a Moderator," SAGE Open, , vol. 12(1), pages 21582440211, January.

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