IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/86632.html
   My bibliography  Save this paper

Exploring big data’s strategic consequences

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/86632/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Leslie Willcocks & Will Venters & Edgar A. Whitley, 2014. "Moving to the Cloud Corporation," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-34747-3.
    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, pages 185-185.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Krickx, Guido A., 1995. "Vertical integration in the computer mainframe industry: A transaction cost interpretation," Journal of Economic Behavior & Organization, Elsevier, vol. 26(1), pages 75-91, January.
    3. Manning, Stephan, 2017. "The rise of project network organizations: Building core teams and flexible partner pools for interorganizational projects," Research Policy, Elsevier, vol. 46(8), pages 1399-1415.
    4. Duranton, Gilles & Jayet, Hubert, 2011. "Is the division of labour limited by the extent of the market? Evidence from French cities," Journal of Urban Economics, Elsevier, vol. 69(1), pages 56-71, January.
    5. Lino Cinquini & Andrea Tenucci, 2011. "Management Accounting for Service: A Research Agenda," Working Papers 201102, Scuola Superiore Sant'Anna of Pisa, Istituto di Management.
    6. Klaus Friesenbichler, 2013. "Firm Growth in Conflict Countries: Some Evidence from South Asia," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 33-44, May.
    7. Berliant, Marcus & Reed III, Robert R. & Wang, Ping, 2006. "Knowledge exchange, matching, and agglomeration," Journal of Urban Economics, Elsevier, vol. 60(1), pages 69-95, July.
    8. Andrés Rodríguez-Pose & Michael Storper, 2006. "Better Rules or Stronger Communities? On the Social Foundations of Institutional Change and Its Economic Effects," Economic Geography, Taylor & Francis Journals, vol. 82(1), pages 1-25, January.
    9. Emilio Depetris-Chauvin & Ömer Özak, 2020. "The origins of the division of labor in pre-industrial times," Journal of Economic Growth, Springer, vol. 25(3), pages 297-340, September.
    10. Galina Besstremyannaya & Sergei Golovan, 2023. "Measuring heterogeneity in hospital productivity: a quantile regression approach," Journal of Productivity Analysis, Springer, vol. 59(1), pages 15-43, February.
    11. Thomas Chaney & Ralph Ossa, 2013. "Market Size, Division of Labor, and Firm Productivity," SciencePo Working papers hal-03579667, HAL.
    12. Chaney, Thomas & Ossa, Ralph, 2013. "Market size, division of labor, and firm productivity," Journal of International Economics, Elsevier, vol. 90(1), pages 177-180.
    13. Argyres, Nicholas S. & Liebeskind, Julia Porter, 2002. "Governance inseparability and the evolution of US biotechnology industry," Journal of Economic Behavior & Organization, Elsevier, vol. 47(2), pages 197-219, February.
    14. Gambardella, Alfonso & Conti, Raffaele & Novelli, Elena, 2018. "Specializing in Generality: Firm Strategies When Intermediate Markets Work," CEPR Discussion Papers 12782, C.E.P.R. Discussion Papers.
    15. Yang, X. & Liu, P.W., 1999. "Division of Labor Transaction Cost, Emergence of the Firm and Firm Size," Papers 10, Chicago - Graduate School of Business.
    16. Jean-Louis Peaucelle, 2012. "Rhetoric and logic in Smith's Description of the Division of Labor," Post-Print hal-01402198, HAL.
    17. Musso, Fabio, 2000. "Economie distrettuali e canali di distribuzione all’estero. Varietà di percorsi delle imprese pesaresi del mobile [Local economies and distribution channels in foreign markets]," MPRA Paper 59022, University Library of Munich, Germany, revised 2000.
    18. Alain-Désiré Nimubona & Bernard Sinclair-Desgagné, 2011. "Polluters and Abaters," Annals of Economics and Statistics, GENES, issue 103-104, pages 9-24.
    19. Seddon, Jonathan J.J.M. & Currie, Wendy L., 2017. "A model for unpacking big data analytics in high-frequency trading," Journal of Business Research, Elsevier, vol. 70(C), pages 300-307.
    20. Wernerfelt, Birger, 2003. "Indirect Adjustment-Costs Under Alternative Coordination Regimes," Working papers 4336-01, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ehl:lserod:86632. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.