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Searching for big data

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  • Caesarius, Leon Michael
  • Hohenthal, Jukka

Abstract

Big data is often described as a new frontier of IT-enabled competitive advantage. A limited number of exemplary firms have been used recurrently in the big data debate to serve as successful illustrations of what big data technologies can offer. These firms are well-known, data-driven organizations that often, but not always, are born digital companies. Comparatively little attention has been paid to the challenges that many incumbent organizations face when they try to explore a possible adoption of such technologies. This study investigates how incumbents handle such an exploration and what challenges they face. Drawing on a four-year qualitative field study of four large Scandinavian firms, we are able to develop a typology of how incumbents handle the exploration of and resistance to adopting big data technologies. Directly affecting the incumbents’ exploration are two aspects that separate the adoption of big data technologies from that of other technologies. First, being an elusive concept, big data technologies can mean different things to different organizations. This makes the technologies difficult to explain before an investing body, while it simultaneously opens up possibilities for creative definitions. Second, big data technologies have a transformative effect on the organization of work in firms. This transformative capability will make managers wary as it might threaten their position in the firm, and it will create ripple effects, transforming other systems besides those directly connected to the technology.

Suggested Citation

  • Caesarius, Leon Michael & Hohenthal, Jukka, 2018. "Searching for big data," Scandinavian Journal of Management, Elsevier, vol. 34(2), pages 129-140.
  • Handle: RePEc:eee:scaman:v:34:y:2018:i:2:p:129-140
    DOI: 10.1016/j.scaman.2017.12.002
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    1. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    2. Curtis P. Armstrong & V. Sambamurthy, 1999. "Information Technology Assimilation in Firms: The Influence of Senior Leadership and IT Infrastructures," Information Systems Research, INFORMS, vol. 10(4), pages 304-327, December.
    3. Ritu Agarwal & Vasant Dhar, 2014. "Editorial —Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research," Information Systems Research, INFORMS, vol. 25(3), pages 443-448, September.
    4. Giovanni Dosi, 2000. "Opportunities, Incentives and the Collective Patterns of Technological Change," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 4, pages 145-162, Edward Elgar Publishing.
    5. Hamid R. Ekbia, 2009. "Digital artifacts as quasi‐objects: Qualification, mediation, and materiality," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(12), pages 2554-2566, December.
    6. Paul Attewell, 1992. "Technology Diffusion and Organizational Learning: The Case of Business Computing," Organization Science, INFORMS, vol. 3(1), pages 1-19, February.
    7. Prasanna Tambe, 2014. "Big Data Investment, Skills, and Firm Value," Management Science, INFORMS, vol. 60(6), pages 1452-1469, June.
    8. Dorothy Leonard-Barton & Isabelle Deschamps, 1988. "Managerial Influence in the Implementation of New Technology," Management Science, INFORMS, vol. 34(10), pages 1252-1265, October.
    9. James Y. L. Thong & Chee-Sing Yap & K. S. Raman, 1996. "Top Management Support, External Expertise and Information Systems Implementation in Small Businesses," Information Systems Research, INFORMS, vol. 7(2), pages 248-267, June.
    10. Jeffrey Q. Barden, 2012. "The influences of being acquired on subsidiary innovation adoption," Strategic Management Journal, Wiley Blackwell, vol. 33(11), pages 1269-1285, November.
    11. Geneviève Bassellier & Izak Benbasat & Blaize Horner Reich, 2003. "The Influence of Business Managers' IT Competence on Championing IT," Information Systems Research, INFORMS, vol. 14(4), pages 317-336, December.
    12. Constantiou, Ioanna D & Kallinikos, Jannis, 2015. "New games, new rules: big data and the changing context of strategy," LSE Research Online Documents on Economics 63017, London School of Economics and Political Science, LSE Library.
    13. Raymond F. Zammuto & Terri L. Griffith & Ann Majchrzak & Deborah J. Dougherty & Samer Faraj, 2007. "Information Technology and the Changing Fabric of Organization," Organization Science, INFORMS, vol. 18(5), pages 749-762, October.
    14. Pamela J. Hinds & Mark Mortensen, 2005. "Understanding Conflict in Geographically Distributed Teams: The Moderating Effects of Shared Identity, Shared Context, and Spontaneous Communication," Organization Science, INFORMS, vol. 16(3), pages 290-307, June.
    15. Catherine Durnell Cramton, 2001. "The Mutual Knowledge Problem and Its Consequences for Dispersed Collaboration," Organization Science, INFORMS, vol. 12(3), pages 346-371, June.
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    5. Ebrahim A. A. Ghaleb & P. D. D. Dominic & Narinderjit Singh Sawaran Singh & Gehad Mohammed Ahmed Naji, 2023. "Assessing the Big Data Adoption Readiness Role in Healthcare between Technology Impact Factors and Intention to Adopt Big Data," Sustainability, MDPI, vol. 15(15), pages 1-25, July.

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