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The Role of Fear of Missing Out and Experience in the Formation of SME Decision Makers’ Intentions to Adopt New Manufacturing Technologies

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  • Gartner, Johannes
  • Fink, Matthias
  • Maresch, Daniela

Abstract

Corporate decision-makers form their intention to adopt new technology for their venture based on their perception of its usefulness and ease of use. However, the formation of this intention might be influenced by the fear of missing out (FOMO), making decision-makers fear losing their relatedness with fellow managers and leading to decisions based on irrational considerations. We draw on and extend the technology acceptance model to explain the potential bias caused by FOMO and expect that this bias is contingent on the level of decision makers' prior experience with the new technology in other contexts. Moderated OLS regressions on 514 observations collected from a representative sample of decision-makers of Austrian SMEs show that FOMO is positively related to the intention to adopt new technology. Moreover, we find that the relationship is mitigated by the decision maker's prior experience with that new technology. We highlight the relevance of the FOMO bias in technology acceptance, adding to the growing research stream on the role of emotions in adopting novel technologies. We further show how experience can effectively counter the FOMO bias for many decision-makers and extend the scope of technology acceptance models by illustrating their applicability to novel manufacturing technologies.

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  • Gartner, Johannes & Fink, Matthias & Maresch, Daniela, 2022. "The Role of Fear of Missing Out and Experience in the Formation of SME Decision Makers’ Intentions to Adopt New Manufacturing Technologies," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
  • Handle: RePEc:eee:tefoso:v:180:y:2022:i:c:s0040162522002499
    DOI: 10.1016/j.techfore.2022.121723
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    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Sauermann, Henry & Roach, Michael, 2013. "Increasing web survey response rates in innovation research: An experimental study of static and dynamic contact design features," Research Policy, Elsevier, vol. 42(1), pages 273-286.
    5. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    6. Amir K. Abadi Ghadim & David J. Pannell, 1999. "A conceptual framework of adoption of an agricultural innovation," Agricultural Economics, International Association of Agricultural Economists, vol. 21(2), pages 145-154, October.
    7. Bernadette Szajna, 1996. "Empirical Evaluation of the Revised Technology Acceptance Model," Management Science, INFORMS, vol. 42(1), pages 85-92, January.
    8. Manis, Kerry T. & Choi, Danny, 2019. "The virtual reality hardware acceptance model (VR-HAM): Extending and individuating the technology acceptance model (TAM) for virtual reality hardware," Journal of Business Research, Elsevier, vol. 100(C), pages 503-513.
    9. Harrison, David A. & McLaughlin, Mary E. & Coalter, Terry M., 1996. "Context, Cognition, and Common Method Variance: Psychometric and Verbal Protocol Evidence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 68(3), pages 246-261, December.
    10. Ioana C. Cristea & Paul M. Leonardi, 2019. "Get Noticed and Die Trying: Signals, Sacrifice, and the Production of Face Time in Distributed Work," Organization Science, INFORMS, vol. 30(3), pages 552-572, May.
    11. Ewald Kibler & Teemu Kautonen & Matthias Fink, 2014. "Regional Social Legitimacy of Entrepreneurship: Implications for Entrepreneurial Intention and Start-up Behaviour," Regional Studies, Taylor & Francis Journals, vol. 48(6), pages 995-1015, June.
    12. Scott Shane, 2000. "Prior Knowledge and the Discovery of Entrepreneurial Opportunities," Organization Science, INFORMS, vol. 11(4), pages 448-469, August.
    13. Maresch, Daniela & Gartner, Johannes, 2020. "Make disruptive technological change happen - The case of additive manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    14. Nastjuk, Ilja & Herrenkind, Bernd & Marrone, Mauricio & Brendel, Alfred Benedikt & Kolbe, Lutz M., 2020. "What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    15. Corey M. Angst & Ritu Agarwal & V. Sambamurthy & Ken Kelley, 2010. "Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals," Management Science, INFORMS, vol. 56(8), pages 1219-1241, August.
    16. Jon Hartwick & Henri Barki, 1994. "Explaining the Role of User Participation in Information System Use," Management Science, INFORMS, vol. 40(4), pages 440-465, April.
    17. Inwon Kang & Haixin Cui & Jeyoung Son, 2019. "Conformity Consumption Behavior and FoMO," Sustainability, MDPI, vol. 11(17), pages 1-18, August.
    18. Prasanna Tambe & Lorin M. Hitt & Erik Brynjolfsson, 2012. "The Extroverted Firm: How External Information Practices Affect Innovation and Productivity," Management Science, INFORMS, vol. 58(5), pages 843-859, May.
    19. Paul S. Adler & Kim B. Clark, 1991. "Behind the Learning Curve: A Sketch of the Learning Process," Management Science, INFORMS, vol. 37(3), pages 267-281, March.
    20. Jun, Seung-Pyo, 2012. "A comparative study of hype cycles among actors within the socio-technical system: With a focus on the case study of hybrid cars," Technological Forecasting and Social Change, Elsevier, vol. 79(8), pages 1413-1430.
    21. McKelvie, Alexander & Haynie, J. Michael & Gustavsson, Veronica, 2011. "Unpacking the uncertainty construct: Implications for entrepreneurial action," Journal of Business Venturing, Elsevier, vol. 26(3), pages 273-292, May.
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    2. Haug, Anders & Wickstrøm, Kent Adsbøll & Stentoft, Jan & Philipsen, Kristian, 2023. "Adoption of additive manufacturing: A survey of the role of knowledge networks and maturity in small and medium-sized Danish production firms," International Journal of Production Economics, Elsevier, vol. 255(C).

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