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The intermediating role of organizational culture and internal analytical knowledge between the capability of big data analytics and a firm’s performance

Author

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  • Upadhyay, Parijat
  • Kumar, Anup

Abstract

Firms are increasingly relying on business insights obtained by deploying data analytics. Analytics-driven business decisions have thus taken a strategic imperative role for the competitive advantage of a firm to endure. The extent and effectiveness through which business firms can actually derive benefits by deploying big data-based practices requires deep analysis and calls for extensive research. This study extends the big data analytics capability (BDAC) model by examining the mediatory effects of organizational culture (CL) between internal analytical knowledge (KN) and BDAC, as well as the mediating effects of BDAC between CL and firm performance. The findings bring into focus that CL plays the role of complementary mediation between BDAC and KN to positively impact firm performance (FP); BDAC also plays a similar mediatory role between CL and the performance of a firm.

Suggested Citation

  • Upadhyay, Parijat & Kumar, Anup, 2020. "The intermediating role of organizational culture and internal analytical knowledge between the capability of big data analytics and a firm’s performance," International Journal of Information Management, Elsevier, vol. 52(C).
  • Handle: RePEc:eee:ininma:v:52:y:2020:i:c:s0268401219314847
    DOI: 10.1016/j.ijinfomgt.2020.102100
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    Citations

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    Cited by:

    1. Huynh, Minh-Tay & Nippa, Michael & Aichner, Thomas, 2023. "Big data analytics capabilities: Patchwork or progress? A systematic review of the status quo and implications for future research," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    2. Wissal Affes & Habib Affes, 2022. "Business Model and Firm Performance in Tunisian Firms: a Mediated Moderation Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 2822-2839, December.
    3. Morimura, Fumikazu & Sakagawa, Yuji, 2023. "The intermediating role of big data analytics capability between responsive and proactive market orientations and firm performance in the retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    4. 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).
    5. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Gupta, Shivam & Sivarajah, Uthayasankar & Bag, Surajit, 2023. "Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    6. Ediansyah & Muhtosim Arief & Mohammad Hamsal & Sri Bramantoro Abdinagoro, 2022. "Interplay between Networking Capability and Hospital Performance in Indonesia’s Medical Tourism Sector," IJERPH, MDPI, vol. 20(1), pages 1-20, December.
    7. Lang, Le Dang & Tiwari, Aviral Kumar & Hieu, Hoang Ngoc & Ha, Nguyen Minh & Gaur, Jighyasu, 2023. "The role of structural social capital in driving social-oriented sustainable agricultural entrepreneurship," Energy Economics, Elsevier, vol. 124(C).
    8. Chowdhury, Soumyadeb & Budhwar, Pawan & Dey, Prasanta Kumar & Joel-Edgar, Sian & Abadie, Amelie, 2022. "AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework," Journal of Business Research, Elsevier, vol. 144(C), pages 31-49.

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