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Understanding the impact of big data on firm performance: The necessity of conceptually differentiating among big data characteristics

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  • Ghasemaghaei, Maryam

Abstract

This study uses the resource-based view to explore the impact of data volume, data velocity, and data variety, which are the main characteristics of big data, on firm performance and the mediating roles of data value and data veracity on these relationships. To test the research model, we collected data from 143 top and middle level managers in the United States. The findings show that data variety positively improves data value generation, whereas data volume and data velocity do not impact it. Additionally, while data volume negatively impacts data veracity, data velocity and data variety positively impact it. Findings indicate the necessity of conceptually differentiating among big data characteristics in investigating their impacts on firm outcomes instead of treating big data as a holistic variable. The study provides useful insights for researchers and managers willing to better understand the role of big data characteristics in influencing firm performance.

Suggested Citation

  • Ghasemaghaei, Maryam, 2021. "Understanding the impact of big data on firm performance: The necessity of conceptually differentiating among big data characteristics," International Journal of Information Management, Elsevier, vol. 57(C).
    • Handle: RePEc:eee:ininma:v:57:y:2021:i:c:s0268401219310394
    DOI: 10.1016/j.ijinfomgt.2019.102055
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    Cited by:

    1. Sun, Pengfei & Yuan, Chunhui & Li, Xiaolong & Di, Jia, 2024. "Big data analytics, firm risk and corporate policies: Evidence from China," Research in International Business and Finance, Elsevier, vol. 70(PB).
    2. Ferrigno, Giulio & Barabuffi, Saverio & Marcazzan, Enrico & Piccaluga, Andrea, 2025. "What “V” of the big data support firms’ radical and incremental innovation?," Technovation, Elsevier, vol. 146(C).
    3. Muhammad Umar Khan & Iram Fatima, 2025. "The role of big data analytics capability in the telecommunication sector of Pakistan: the chain mediating effect of data integration capability and data-driven decision making," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(1), pages 51-85, February.
    4. 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).
    5. Leven J. Zheng & Justin Zuopeng Zhang & Huan Wang & Jacky F. L. Hong, 2025. "Exploring the impact of Big Data Analytics Capabilities on the dual nature of innovative activities in MSMEs: A Data-Agility-Innovation Perspective," Annals of Operations Research, Springer, vol. 350(2), pages 699-727, July.
    6. Mingle Zhou & Yu Wang & Xiaohui Huang & Gang Li, 2023. "Can open government data policy improve firm performance? Evidence from listed firms in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(5), pages 2593-2603, July.
    7. 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).
    8. Rodepeter, Elisa & Gschnaidtner, Christoph & Hottenrott, Hanna, 2023. "Big data and start-up performance," ZEW Discussion Papers 23-061, ZEW - Leibniz Centre for European Economic Research.
    9. Sonia García-Moreno, 2025. "Digital transformation towards Industry 4.0 in Spain: An analysis of the progress of Smart Factory implementation," Romanian Journal of Economics, Institute of National Economy, vol. 60(1(69)), pages 42-65, June.
    10. Maryia Zaitsava & Elona Marku & Maria Chiara Guardo & Azar Shahgholian, 2023. "A fine-grained perspective on big data knowledge creation: dimensions, insights, and mechanism from a pilot study," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(2), pages 547-573, June.
    11. Aversa, Joseph & Azmy, Ali & Hernandez, Tony, 2024. "Untapping the potential of mobile location data: The opportunities and challenges for retail analytics," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    12. Shaik, Aqueeb Sohail & Nazrul, Asif & Alshibani, Safiya Mukhtar & Agarwal, Vaishali & Papa, Armando, 2024. "Environmental and economical sustainability and stakeholder satisfaction in SMEs. Critical technological success factors of big data analytics," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    13. repec:bcp:journl:v:7:y:2023:i:3:p:789-806 is not listed on IDEAS
    14. Justy, Théo & Pellegrin-Boucher, Estelle & Lescop, Denis & Granata, Julien & Gupta, Shivam, 2023. "On the edge of Big Data: Drivers and barriers to data analytics adoption in SMEs," Technovation, Elsevier, vol. 127(C).
    15. Perdana, Arif & Lee, Hwee Hoon & Koh, SzeKee & Arisandi, Desi, 2022. "Data analytics in small and mid-size enterprises: Enablers and inhibitors for business value and firm performance," International Journal of Accounting Information Systems, Elsevier, vol. 44(C).

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