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Exploring big data’s strategic consequences

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  • Bhimani, Alnoor

Abstract

Big data multiplies the potential of organizational data engagement and the shaping of enterprise strategy processes. The paper argues that big data qualitatively alters strategic processes by extending managerial possibilities for acting on both structured and unstructured information because the conceptually presumed linear links between corporate strategy, firm structure and information systems design no longer hold. Big data draws organizational information systems into a shifting dynamic of altered forms of information access and use as part of a wider complex loop of interventions and analyses. Big data analyses are for many firms becoming indispensable strategic ploys which themselves alter strategies that further mobilize big data consequences. The paper also argues that the use of big data for directing enterprise activities effects behavioural and political organizational consequences. The paper concludes

Suggested Citation

  • Bhimani, Alnoor, 2015. "Exploring big data’s strategic consequences," LSE Research Online Documents on Economics 86632, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:86632
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    File URL: http://eprints.lse.ac.uk/86632/
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    References listed on IDEAS

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    2. Bhimani, Alnoor, 1996. "Management Accounting: European Perspectives," OUP Catalogue, Oxford University Press, number 9780198289661.
    3. Alnoor Bhimani & Leslie Willcocks, 2014. "Digitisation, 'Big Data' and the transformation of accounting information," Accounting and Business Research, Taylor & Francis Journals, vol. 44(4), pages 469-490, August.
    4. Chandler, Alfred Jr. & Daems, Herman, 1979. "Administrative coordination, allocation and monitoring: A comparative analysis of the emergence of accounting and organization in the U.S.A. and Europe," Accounting, Organizations and Society, Elsevier, vol. 4(1-2), pages 3-20, January.
    5. George J. Stigler, 1951. "The Division of Labor is Limited by the Extent of the Market," Journal of Political Economy, University of Chicago Press, vol. 59(3), pages 185-185.
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    Cited by:

    1. Liedong, Tahiru Azaaviele & Rajwani, Tazeeb & Lawton, Thomas C., 2020. "Information and nonmarket strategy: Conceptualizing the interrelationship between big data and corporate political activity," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    2. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
    3. Ekene Okwechime & Peter Duncan & David Edgar, 2018. "Big data and smart cities: a public sector organizational learning perspective," Information Systems and e-Business Management, Springer, vol. 16(3), pages 601-625, August.
    4. Amankwah-Amoah, Joseph, 2016. "Emerging economies, emerging challenges: Mobilising and capturing value from big data," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 167-174.
    5. Amankwah-Amoah, Joseph, 2016. "Emerging economies, emerging challenges: Mobilising and capturing value from big data," MPRA Paper 85625, University Library of Munich, Germany.
    6. Alnoor Bhimani, 2020. "Digital data and management accounting: why we need to rethink research methods," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(1), pages 9-23, April.

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    More about this item

    Keywords

    data and information; big data; strategy;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • J50 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - General

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