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Big data approaches and outcome of information asymmetry: opportunities for future research

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  • Milind A. Mandlik
  • Djavlonbek Kadirov

Abstract

The purpose of this paper is to advocate reorientation of current managerial practices in the light of growing reliance on Big Data strategies by contemporary firms, to make them more consumer-centric in nature. Big data strategies by their very nature and modalities lead to heightened levels of information asymmetry which by default have the capacity to disempower the very user that contributes towards the data driven insights. The fundamental driver for writing this paper is not to criticise big data strategies per se, but to suggest; it is merely a tool which can be equally used for consumer entrapment, as well as consumer empowerment. This paper wishes to contribute to the intellectual debate among academics, policy maker, and practitioners alike; en-route for a type of big data-driven managerial orientation that balances the consumers' right to market-based transparency, and the enterprise's need for economic viability.

Suggested Citation

  • Milind A. Mandlik & Djavlonbek Kadirov, 2018. "Big data approaches and outcome of information asymmetry: opportunities for future research," International Journal of Business Continuity and Risk Management, Inderscience Enterprises Ltd, vol. 8(4), pages 303-318.
    • Handle: RePEc:ids:ijbcrm:v:8:y:2018:i:4:p:303-318
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    Cited by:

    1. Rajesh Chidananda Reddy & Biplab Bhattacharjee & Debasisha Mishra & Anandadeep Mandal, 2022. "A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy," Information Systems and e-Business Management, Springer, vol. 20(1), pages 223-255, March.

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