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Business Intelligence (BI) in Firm Performance: Role of Big Data Analytics and Blockchain Technology

Author

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  • Mladen Pancić

    (Faculty of Economics in Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
    These authors contributed equally to this work.)

  • Dražen Ćućić

    (Faculty of Economics in Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
    These authors contributed equally to this work.)

  • Hrvoje Serdarušić

    (Faculty of Economics in Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
    These authors contributed equally to this work.)

Abstract

The analysis of the causes or drivers of the adoption of big data analytics and blockchain and their subsequent influence on firm performance has become a significant need as a direct result of the rapidly expanding popularity of business intelligence. The purpose of this research is to present a model that investigates the direct and indirect influence of business intelligence on firm performance through the mediating roles of the adoption of big data analytics and blockchain. The analysis is based on data collected from a representative sample of 387 employees from 12 Information technology (IT) firms operating in Croatia. The study investigates these connections using a structural equation modeling. The findings showed that business intelligence has a direct and significant influence on firm performance. In addition, business intelligence significantly and positively influenced the adoption of big data analytics and blockchain and, in turn, firm performance. Additionally, the adoption of big data analytics and blockchain technology signified and positively mediated the relationship between business intelligence and firm performance. Both the mediations were partial. Finally, the study also provides managerial implications, limitations and future directions.

Suggested Citation

  • Mladen Pancić & Dražen Ćućić & Hrvoje Serdarušić, 2023. "Business Intelligence (BI) in Firm Performance: Role of Big Data Analytics and Blockchain Technology," Economies, MDPI, vol. 11(3), pages 1-19, March.
    • Handle: RePEc:gam:jecomi:v:11:y:2023:i:3:p:99-:d:1103580
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    References listed on IDEAS

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    1. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    2. Shuiye Niu & Honglong Zhuo & Kelei Xue, 2019. "DfRem-Driven Closed-Loop Supply Chain Decision-Making: A Systematic Framework for Modeling Research," Sustainability, MDPI, vol. 11(12), pages 1-19, June.
    3. Muntean, Mihaela & Cabau, Liviu Gabriel, 2011. "Business Intelligence Approach In A Business Performance Context," MPRA Paper 29914, University Library of Munich, Germany.
    4. Paul Chou, 2018. "Workplace Social Support and Attitude toward Enterprise Resource Planning System: A Perspective of Organizational Change," International Journal of Information Systems and Social Change (IJISSC), IGI Global, vol. 9(1), pages 58-76, January.
    5. Joon-Seok Kim & Nina Shin, 2019. "The Impact of Blockchain Technology Application on Supply Chain Partnership and Performance," Sustainability, MDPI, vol. 11(21), pages 1-17, November.
    6. Dash, Ganesh & Paul, Justin, 2021. "CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
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    1. Showimy Aldossari & Umi Asma’ Mokhtar & Ahmad Tarmizi Abdul Ghani, 2023. "Factor Influencing the Adoption of Big Data Analytics: A Systematic Literature and Experts Review," SAGE Open, , vol. 13(4), pages 21582440231, December.

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