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How Analytics Creates Strategic Business Value: Perspectives from French MNCs

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  • Akhter Salahuddin MOHAMMED

    (EDHEC Business School, France)

Abstract

Big data analytics is a prominent tool of value, capable of developing competitive advantage and better company efficiency. This paper presents the first empirical exploration of the theoretical design, since the mediating consequences of four value development mechanisms on the connection between big data analytics abilities and four benefit targets. The four value development mechanisms investigated are proactive adaptation, discovery, access, and transparency, while the four benefit goals are business efficiency, business process improvement, consumer experience as well as industry enhancement, and product as well as service innovation. The proposed empirical validation design uses an econometric analysis of information gathered by a survey involving 129 business development center (BDC) professionals in France. The results show that transparency mediates the connection for all value targets, while entry and practical adaptation mediate just in case of some worth targets, and discovery doesn’t have some mediating outcome. Practical and theoretical implications are discussed in the conclusion of the paper.

Suggested Citation

  • Akhter Salahuddin MOHAMMED, 2022. "How Analytics Creates Strategic Business Value: Perspectives from French MNCs," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 3(11), pages 65-72, November.
    • Handle: RePEc:ahd:journl:v:3:y:2022:i:11:p:65-72
    DOI: 10.37945/cbr.2022.11.07
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    References listed on IDEAS

    as
    1. Vincenzo Morabito, 2015. "Managing Change for Big Data Driven Innovation," Springer Books, in: Big Data and Analytics, edition 127, chapter 0, pages 125-153, Springer.
    2. Hau L. Lee, 2018. "Big Data and the Innovation Cycle," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1642-1646, September.
    3. Daniul Thomas ISENBERG & Mesbaul Haque SAZU & Sakila Akter JAHAN, 2022. "How Banks Can Leverage Credit Risk Evaluation to Improve Financial Performance," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 3(9), pages 62-72, September.
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    More about this item

    Keywords

    big data analytics; transparency; access; discovery; organization performance; business process improvement; innovation;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

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