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Behind the scenes: Understanding the socio-technical barriers to BIM adoption through the theoretical lens of information systems research

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  • Oesterreich, Thuy Duong
  • Teuteberg, Frank

Abstract

•A meta-analysis is conducted to summarise the empirical results from 21 studies addressing the barriers to BIM adoption.•The empirical results are presented based on a socio-technical theory framework.•Theoretical foundations from IS research are provided to enhance the understanding of the barriers towards BIM adoption.•The results indicate that social barriers of BIM are the most important barriers to its widespread adoption.•Compared to the social barriers, purely technical rooted adoption barriers are rather rare and less critical.

Suggested Citation

  • Oesterreich, Thuy Duong & Teuteberg, Frank, 2019. "Behind the scenes: Understanding the socio-technical barriers to BIM adoption through the theoretical lens of information systems research," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 413-431.
    • Handle: RePEc:eee:tefoso:v:146:y:2019:i:c:p:413-431
    DOI: 10.1016/j.techfore.2019.01.003
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    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Kelle, Peter & Akbulut, Asli, 2005. "The role of ERP tools in supply chain information sharing, cooperation, and cost optimization," International Journal of Production Economics, Elsevier, vol. 93(1), pages 41-52, January.
    3. Robert W. Zmud, 1984. "An Examination of "Push-Pull" Theory Applied to Process Innovation in Knowledge Work," Management Science, INFORMS, vol. 30(6), pages 727-738, June.
    4. Paul Attewell, 1992. "Technology Diffusion and Organizational Learning: The Case of Business Computing," Organization Science, INFORMS, vol. 3(1), pages 1-19, February.
    5. Peter R. Monge & Janet Fulk & Michael E. Kalman & Andrew J. Flanagin & Claire Parnassa & Suzanne Rumsey, 1998. "Production of Collective Action in Alliance-Based Interorganizational Communication and Information Systems," Organization Science, INFORMS, vol. 9(3), pages 411-433, June.
    6. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    7. Thong, James Y. L., 2001. "Resource constraints and information systems implementation in Singaporean small businesses," Omega, Elsevier, vol. 29(2), pages 143-156, April.
    8. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    9. Kevin Zhu & Kenneth L. Kraemer & Sean Xu, 2006. "The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business," Management Science, INFORMS, vol. 52(10), pages 1557-1576, October.
    10. Rajiv Kohli & Sarv Devaraj, 2003. "Measuring Information Technology Payoff: A Meta-Analysis of Structural Variables in Firm-Level Empirical Research," Information Systems Research, INFORMS, vol. 14(2), pages 127-145, June.
    11. Daniel Robey & Marie-Claude Boudreau, 1999. "Accounting for the Contradictory Organizational Consequences of Information Technology: Theoretical Directions and Methodological Implications," Information Systems Research, INFORMS, vol. 10(2), pages 167-185, June.
    12. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    13. Katz, Michael L & Shapiro, Carl, 1986. "Technology Adoption in the Presence of Network Externalities," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 822-841, August.
    14. Chang, Man-Kit & Cheung, Waiman & Cheng, Chun-Hung & Yeung, Jeff H.Y., 2008. "Understanding ERP system adoption from the user's perspective," International Journal of Production Economics, Elsevier, vol. 113(2), pages 928-942, June.
    15. Peppard, Joe & Rylander, Anna, 0. "From Value Chain to Value Network:: Insights for Mobile Operators," European Management Journal, Elsevier, vol. 24(2-3), pages 128-141, April.
    16. Anna Dubois & Lars-Erik Gadde, 2002. "The construction industry as a loosely coupled system: implications for productivity and innovation," Construction Management and Economics, Taylor & Francis Journals, vol. 20(7), pages 621-631.
    17. David A. Harrison & Peter P. Mykytyn & Cynthia K. Riemenschneider, 1997. "Executive Decisions About Adoption of Information Technology in Small Business: Theory and Empirical Tests," Information Systems Research, INFORMS, vol. 8(2), pages 171-195, June.
    18. Michael L. Katz & Carl Shapiro, 1994. "Systems Competition and Network Effects," Journal of Economic Perspectives, American Economic Association, vol. 8(2), pages 93-115, Spring.
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    6. Shojaei, Reyhaneh S. & Burgess, Gemma, 2022. "Non-technical inhibitors: Exploring the adoption of digital innovation in the UK construction industry," Technological Forecasting and Social Change, Elsevier, vol. 185(C).

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