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Initial Evidence on the Impact of Big Data Implementation on Firm Performance

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  • Cheng-Kui Huang

    (National Chung Cheng University)

  • Tawei Wang

    (DePaul University)

  • Tzu-Yen Huang

    (National Chung Cheng University)

Abstract

Big data has been widely discussed for several years. However, whether the implementation of big data really bring in observable benefits on firm performance remains a critical issue for the top management team. In this study, we investigate the association between big data implementation and the corresponding financial performance, productivity, and market value. Our results demonstrate that big data implementation is positively related to an improvement in financial performance and the market value but such effect is not stronger for first movers. Implications are discussed.

Suggested Citation

  • Cheng-Kui Huang & Tawei Wang & Tzu-Yen Huang, 2020. "Initial Evidence on the Impact of Big Data Implementation on Firm Performance," Information Systems Frontiers, Springer, vol. 22(2), pages 475-487, April.
    • Handle: RePEc:spr:infosf:v:22:y:2020:i:2:d:10.1007_s10796-018-9872-5
    DOI: 10.1007/s10796-018-9872-5
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    References listed on IDEAS

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    3. Oduro, Stephen & De Nisco, Alessandro & Mainolfi, Giada, 2023. "Do digital technologies pay off? A meta-analytic review of the digital technologies/firm performance nexus," Technovation, Elsevier, vol. 128(C).
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    5. 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.
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    7. Mihai BOGDAN & Anca BORZA, 2020. "Big Data Analytics And Firm Performance: A Text Mining Approach," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 14(1), pages 549-560, November.
    8. Tseng, Hsiao-Ting, 2023. "Customer-centered data power: Sensing and responding capability in big data analytics," Journal of Business Research, Elsevier, vol. 158(C).
    9. Abdullah Tirgil & Derya Fındık, 2023. "How Does Awareness Toward the Industry 4.0 Applications Affect Firms' Financial and Innovation Performance?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1900-1922, June.
    10. Zeng, Huixiang & Ran, Hangxin & Zhou, Qiong & Jin, Youliang & Cheng, Xu, 2022. "The financial effect of firm digitalization: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    11. Youssef, Mayada Abd El-Aziz & Eid, Riyad & Agag, Gomaa, 2022. "Cross-national differences in big data analytics adoption in the retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
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    14. Jianmin Song & Senmao Xia & Demetris Vrontis & Arun Sukumar & Bing Liao & Qi Li & Kun Tian & Nengzhi Yao, 2022. "The Source of SMEs’ Competitive Performance in COVID-19: Matching Big Data Analytics Capability to Business Models," Information Systems Frontiers, Springer, vol. 24(4), pages 1167-1187, August.
    15. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).

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