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The financial and market impact of big data analytics and big data talent analytics capability: a knowledge management perspective

Author

Listed:
  • Fouzia Atlas

    (Wenzhou-Kean University)

  • Yuan Yitong

    (Wenzhou-Kean University)

  • Kashif Ullah Khan

    (Wenzhou-Kean University)

Abstract

Burgeoning research in data sciences demonstrates that big data analytics capability (BDAC) transforms large amounts of data into valuable knowledge and information, enhancing decision processes and improving firm performance. Nevertheless, limited research has theoretically outlined and empirically established the frameworks and constructs through which BDAC impacts the performance of small and medium enterprises (SMEs). This study adds to existing research on the relationship between BDAC and SME performance. Drawing on the dynamic capability theory, it is essential to argue how BDAC influences marketing performance (MP) and financial performance (FP), which is dependent on the intervening role of knowledge management with big data analytics talent capability (BDATC). This study highlighted the mediating role of knowledge Management (KM) and the moderating effect of Big Data Analytics Talent Capabilities (BDATC) in relation to BDAC. Based on the Conceptual model, data was collected from 379 SMEs in China using a well-designed questionnaire. Structural Equation Modeling (SEM) was employed using AMOS and SPSS for data analysis. Findings show that BDAC positively influences the firm’s financial and marketing performance. Furthermore, results confirm that KM mediates the link between a firm’s BDAC and financial and marketing performance. The findings also confirm that BDATLC significantly moderates the relationship between BDAC and financial performance while negatively moderating the relationship between BDAC and marketing performance. This study contributes to understanding the important role of human talent capability in the era of technology and big data (BDATLC), particularly regarding the talent capability for Big Data Analytics (BDA). The findings highlight the strategic significance of nurturing and retaining BDA talent to enhance the performance of SMEs.

Suggested Citation

  • Fouzia Atlas & Yuan Yitong & Kashif Ullah Khan, 2025. "The financial and market impact of big data analytics and big data talent analytics capability: a knowledge management perspective," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-11, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05206-y
    DOI: 10.1057/s41599-025-05206-y
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    1. Kar, Arpan Kumar & Dwivedi, Yogesh K., 2020. "Theory building with big data-driven research – Moving away from the “What” towards the “Why”," International Journal of Information Management, Elsevier, vol. 54(C).
    2. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    3. Ferreira, Jorge & Coelho, Arnaldo & Moutinho, Luiz, 2020. "Dynamic capabilities, creativity and innovation capability and their impact on competitive advantage and firm performance: The moderating role of entrepreneurial orientation," Technovation, Elsevier, vol. 92.
    4. Olabode, Oluwaseun E. & Boso, Nathaniel & Hultman, Magnus & Leonidou, Constantinos N., 2022. "Big data analytics capability and market performance: The roles of disruptive business models and competitive intensity," Journal of Business Research, Elsevier, vol. 139(C), pages 1218-1230.
    5. Mahdi, Omar Rabeea & Nassar, Islam A. & Almsafir, Mahmoud Khalid, 2019. "Knowledge management processes and sustainable competitive advantage: An empirical examination in private universities," Journal of Business Research, Elsevier, vol. 94(C), pages 320-334.
    6. Benjamin T. Hazen & Joseph B. Skipper & Christopher A. Boone & Raymond R. Hill, 2018. "Back in business: operations research in support of big data analytics for operations and supply chain management," Annals of Operations Research, Springer, vol. 270(1), pages 201-211, November.
    7. Xiaofeng Su & Weipeng Zeng & Manhua Zheng & Xiaoli Jiang & Wenhe Lin & Anxin Xu, 2021. "Big data analytics capabilities and organizational performance: the mediating effect of dual innovations," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 25(4), pages 1142-1160, April.
    8. Md. Nurun Nabi & Zhiqiang Liu & Najmul Hasan, 2022. "Investigating the effects of leaders’ stewardship behavior on radical innovation: a mediating role of knowledge management dynamic capability and moderating role of environmental uncertainty," Management Research Review, Emerald Group Publishing Limited, vol. 46(2), pages 173-195, March.
    9. Fuller, Christie M. & Simmering, Marcia J. & Atinc, Guclu & Atinc, Yasemin & Babin, Barry J., 2016. "Common methods variance detection in business research," Journal of Business Research, Elsevier, vol. 69(8), pages 3192-3198.
    10. Černe, Matej & Jaklič, Marko & Škerlavaj, Miha, 2013. "Decoupling management and technological innovations: Resolving the individualism–collectivism controversy," Journal of International Management, Elsevier, vol. 19(2), pages 103-117.
    11. Gandomi, Amir & Haider, Murtaza, 2015. "Beyond the hype: Big data concepts, methods, and analytics," International Journal of Information Management, Elsevier, vol. 35(2), pages 137-144.
    12. Halil Zaim & Shahnawaz Muhammed & Merve Tarim, 2019. "Relationship between knowledge management processes and performance: critical role of knowledge utilization in organizations," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 17(1), pages 24-38, January.
    13. Md. Nurun Nabi & Zhiqiang Liu & Najmul Hasan, 2022. "Investigating the effects of leaders’ stewardship behavior on radical innovation: a mediating role of knowledge management dynamic capability and moderating role of environmental uncertainty," Management Research Review, Emerald Group Publishing Limited, vol. 46(2), pages 173-195, March.
    14. Yasmin, Mariam & Tatoglu, Ekrem & Kilic, Huseyin Selcuk & Zaim, Selim & Delen, Dursun, 2020. "Big data analytics capabilities and firm performance: An integrated MCDM approach," Journal of Business Research, Elsevier, vol. 114(C), pages 1-15.
    15. Shirazi, Farid & Mohammadi, Mahbobeh, 2019. "A big data analytics model for customer churn prediction in the retiree segment," International Journal of Information Management, Elsevier, vol. 48(C), pages 238-253.
    16. Akter, Shahriar & Wamba, Samuel Fosso & Gunasekaran, Angappa & Dubey, Rameshwar & Childe, Stephen J., 2016. "How to improve firm performance using big data analytics capability and business strategy alignment?," International Journal of Production Economics, Elsevier, vol. 182(C), pages 113-131.
    17. Michael J. Tippins & Ravipreet S. Sohi, 2003. "IT competency and firm performance: is organizational learning a missing link?," Strategic Management Journal, Wiley Blackwell, vol. 24(8), pages 745-761, August.
    18. Bagozzi, Richard P & Yi, Youjae, 1991. "Multitrait-Multimethod Matrices in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 426-439, March.
    19. 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).
    20. Mikalef, Patrick & Boura, Maria & Lekakos, George & Krogstie, John, 2019. "Big data analytics and firm performance: Findings from a mixed-method approach," Journal of Business Research, Elsevier, vol. 98(C), pages 261-276.
    21. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    22. P. Bentler, 1983. "Some contributions to efficient statistics in structural models: Specification and estimation of moment structures," Psychometrika, Springer;The Psychometric Society, vol. 48(4), pages 493-517, December.
    23. Aydiner, Arafat Salih & Tatoglu, Ekrem & Bayraktar, Erkan & Zaim, Selim & Delen, Dursun, 2019. "Business analytics and firm performance: The mediating role of business process performance," Journal of Business Research, Elsevier, vol. 96(C), pages 228-237.
    24. Ravi Srinivasan & Morgan Swink, 2018. "An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1849-1867, October.
    25. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
    26. Steven Ji-fan Ren & Samuel Fosso Wamba & Shahriar Akter & Rameshwar Dubey & Stephen J. Childe, 2017. "Modelling quality dynamics, business value and firm performance in a big data analytics environment," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5011-5026, September.
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