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Organizational Readiness For Big Data Analytics, Business Analytics Adoption And Data-Driven Culture: The Case Of Turkish Banking Sector

Author

Listed:
  • Zafer AYKANAT

    (Faculty of Economics and Administrative Sciences, Department of Management and Organization, Ardahan, Turkey)

  • Tayfun YILDIZ

    (Faculty of Economics and Administrative Sciences, Department of Management and Organization, Ardahan)

  • Ali Kemal ÇELÄ°K

    (Faculty of Economics and Administrative Sciences, Department of Quantitative Methods, Ardahan, Turkey)

Abstract

This paper purposes to determine the mediating role of business analytics on the relationship between barriers on big data and data-driven culture in developing economies. The sample of this paper is 193 individuals working at eight commercial banks in two provinces of Turkey. The dataset is gathered using Partial Least Squares Structural Equation Modeling (PLS-SEM). The empirical findings indicated that barriers of big data for organizational preparation have been found to have a statistically significant negative effect on adoption of business analytics and data-driven culture. Adoption of business analytics is found to have a full mediation impact on the relationship between barriers of big data and data-driven culture. Bank employees put forward lack of qualified sources as the most important big data barrier among barriers of big data. The results highlight the importance of required resources for organizational preparation and qualified personnel.

Suggested Citation

  • Zafer AYKANAT & Tayfun YILDIZ & Ali Kemal ÇELÄ°K, 2025. "Organizational Readiness For Big Data Analytics, Business Analytics Adoption And Data-Driven Culture: The Case Of Turkish Banking Sector," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 17(1), pages 18-34, March.
    • Handle: RePEc:rom:mrpase:v:17:y:2025:i:1:p:18-34
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    References listed on IDEAS

    as
    1. Dursun Delen & Sudha Ram, 2018. "Research challenges and opportunities in business analytics," Journal of Business Analytics, Taylor & Francis Journals, vol. 1(1), pages 2-12, January.
    2. Nam, Dalwoo & Lee, Junyeong & Lee, Heeseok, 2019. "Business analytics adoption process: An innovation diffusion perspective," International Journal of Information Management, Elsevier, vol. 49(C), pages 411-423.
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