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Business model theory-based prediction of digital technology use: An empirical assessment

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  • Costa Climent, Ricardo
  • Haftor, Darek M.

Abstract

Firms invest heavily in their future use of digital technology to create and appropriate value and thereby survive and prosper. Such decisions regarding the future are part of a firm's foresight, which is a core element of a firm's dynamic capabilities. The contemporary toolbox for generating foresight is dominated by procedural methods, thus ignoring theory-based predictions of the future uses of digital technology. This paper presents the first empirical assessment of business model theory's ability to predict the future uses of digital technology by a given firm. Predictions for a specific niche of hemophilia firms are investigated. Outcomes related to these predictions are then observed. The results show the power of business model theory for deriving such predictions, implying that the managerial toolbox for foresight generation should be extended to include this theory. This study also provides several directions for further development of business model theory to increase its ability to account for value creation and appropriation from the use of digital technology.

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  • Costa Climent, Ricardo & Haftor, Darek M., 2021. "Business model theory-based prediction of digital technology use: An empirical assessment," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    • Handle: RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521006077
    DOI: 10.1016/j.techfore.2021.121174
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    as
    1. Esmaelian, Majid & Tavana, Madjid & Di Caprio, Debora & Ansari, Reza, 2017. "A multiple correspondence analysis model for evaluating technology foresight methods," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 188-205.
    2. Williamson, Oliver E, 1979. "Transaction-Cost Economics: The Governance of Contractural Relations," Journal of Law and Economics, University of Chicago Press, vol. 22(2), pages 233-261, October.
    3. Greenhalgh, Trisha & Robert, Glenn & Macfarlane, Fraser & Bate, Paul & Kyriakidou, Olympia & Peacock, Richard, 2005. "Storylines of research in diffusion of innovation: a meta-narrative approach to systematic review," Social Science & Medicine, Elsevier, vol. 61(2), pages 417-430, July.
    4. Christoph Zott & Raphael Amit, 2008. "The fit between product market strategy and business model: implications for firm performance," Strategic Management Journal, Wiley Blackwell, vol. 29(1), pages 1-26, January.
    5. Schubert, Cornelius, 2015. "Situating technological and societal futures. Pragmatist engagements with computer simulations and social dynamics," Technology in Society, Elsevier, vol. 40(C), pages 4-13.
    6. Gabriel Hawawini & Venkat Subramanian & Paul Verdin, 2003. "Is performance driven by industry‐or firm‐specific factors? A new look at the evidence," Strategic Management Journal, Wiley Blackwell, vol. 24(1), pages 1-16, January.
    7. Farrell, Joseph & Saloner, Garth, 1986. "Installed Base and Compatibility: Innovation, Product Preannouncements, and Predation," American Economic Review, American Economic Association, vol. 76(5), pages 940-955, December.
    8. Nicholas Economides, 1997. "The Economics of Networks," Brazilian Electronic Journal of Economics, Department of Economics, Universidade Federal de Pernambuco, vol. 1(0), December.
    9. Richard Bellman & Charles E. Clark & Donald G. Malcolm & Clifford J. Craft & Franc M. Ricciardi, 1957. "On the Construction of a Multi-Stage, Multi-Person Business Game," Operations Research, INFORMS, vol. 5(4), pages 469-503, August.
    10. Anita M. McGahan & Michael E. Porter, 2002. "What Do We Know About Variance in Accounting Profitability?," Management Science, INFORMS, vol. 48(7), pages 834-851, July.
    11. Adam M. Brandenburger & Harborne W. Stuart, 1996. "Value‐based Business Strategy," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 5(1), pages 5-24, March.
    12. Garimella, Suresh V. & Persoons, Tim & Weibel, Justin & Yeh, Lian-Tuu, 2013. "Technological drivers in data centers and telecom systems: Multiscale thermal, electrical, and energy management," Applied Energy, Elsevier, vol. 107(C), pages 66-80.
    13. Verhoef, Peter C. & Broekhuizen, Thijs & Bart, Yakov & Bhattacharya, Abhi & Qi Dong, John & Fabian, Nicolai & Haenlein, Michael, 2021. "Digital transformation: A multidisciplinary reflection and research agenda," Journal of Business Research, Elsevier, vol. 122(C), pages 889-901.
    14. Parayre, Roch, 1995. "The strategic implications of sunk costs: A behavioral perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 28(3), pages 417-442, December.
    15. Gerard George & Adam J. Bock, 2011. "The Business Model in Practice and its Implications for Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 35(1), pages 83-111, January.
    16. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    17. Paul Nightingale, 2008. "Meta-paradigm change and the theory of the firm," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 17(3), pages 533-583, June.
    18. Gupta, Ranjit & Mejia, Cristian & Kajikawa, Yuya, 2019. "Business, innovation and digital ecosystems landscape survey and knowledge cross sharing," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 100-109.
    19. Tijan, Edvard & Jović, Marija & Aksentijević, Saša & Pucihar, Andreja, 2021. "Digital transformation in the maritime transport sector," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    20. Christoph Zott & Raphael Amit, 2007. "Business Model Design and the Performance of Entrepreneurial Firms," Organization Science, INFORMS, vol. 18(2), pages 181-199, April.
    21. Richard P. Rumelt, 1991. "How much does industry matter?," Strategic Management Journal, Wiley Blackwell, vol. 12(3), pages 167-185, March.
    22. Ricciardi, Francesca & Zardini, Alessandro & Rossignoli, Cecilia, 2016. "Organizational dynamism and adaptive business model innovation: The triple paradox configuration," Journal of Business Research, Elsevier, vol. 69(11), pages 5487-5493.
    23. David J. Teece, 2007. "Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance," Strategic Management Journal, Wiley Blackwell, vol. 28(13), pages 1319-1350, December.
    24. Raphael Amit & Christoph Zott, 2001. "Value creation in E‐business," Strategic Management Journal, Wiley Blackwell, vol. 22(6‐7), pages 493-520, June.
    25. Lee, Woo Jin & Sohn, So Young, 2014. "Patent analysis to identify shale gas development in China and the United States," Energy Policy, Elsevier, vol. 74(C), pages 111-115.
    26. Kulins, Christopher & Leonardy, Hannes & Weber, Christiana, 2016. "A configurational approach in business model design," Journal of Business Research, Elsevier, vol. 69(4), pages 1437-1441.
    27. Milgrom, Paul & Roberts, John, 1995. "Complementarities and fit strategy, structure, and organizational change in manufacturing," Journal of Accounting and Economics, Elsevier, vol. 19(2-3), pages 179-208, April.
    28. Costa Climent, Ricardo & Haftor, Darek M., 2021. "Value creation through the evolution of business model themes," Journal of Business Research, Elsevier, vol. 122(C), pages 353-361.
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