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Antecedents of successful diffusion of breakthrough innovations past the formative phase: Perceptions of innovation-engaged practitioners

Author

Listed:
  • Talavera Fabra, Irene
  • Ghobadian, Abby
  • Troise, Ciro
  • Bresciani, Stefano

Abstract

Many promising breakthrough innovations (BTIs) fail to diffuse beyond the formative phase, adversely impacting social and economic outcomes. Why this is the case is unclear. We advance knowledge by identifying the general antecedents of innovation success - irrespective of innovation type or phase - shared between at least two of the four principal innovation theories. These shared general antecedents of success underpin a survey instrument used to identify antecedents of successful diffusion of BTIs past the formative phase and the nature of their contribution from the perspective of two different types of practitioners – innovation-engaged entrepreneurs and R&D executives. Ascertaining the views of practitioners is pertinent to determining the utility of theory and its practical applicability. Our analysis points to: (a) the practical utility of the theoretical antecedents of innovation; and (b) the disproportionate influence of some of the general antecedents of success on the diffusion of BTIs past the formative phase. We found that characteristics of interaction, legitimisation process, trust, and catalytic actors play a critical role. On the other hand, effect of formal and informal institution and power asymmetry was ambiguous. Finally, there were differences between perceptions of practitioners pointing to the importance of practitioner type as a contextual factor.

Suggested Citation

  • Talavera Fabra, Irene & Ghobadian, Abby & Troise, Ciro & Bresciani, Stefano, 2023. "Antecedents of successful diffusion of breakthrough innovations past the formative phase: Perceptions of innovation-engaged practitioners," Technovation, Elsevier, vol. 127(C).
  • Handle: RePEc:eee:techno:v:127:y:2023:i:c:s0166497223001621
    DOI: 10.1016/j.technovation.2023.102851
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    References listed on IDEAS

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    1. K. Matthias Weber & Bernhard Truffer, 2017. "Moving innovation systems research to the next level: towards an integrative agenda," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(1), pages 101-121.
    2. Utterback, James M & Abernathy, William J, 1975. "A dynamic model of process and product innovation," Omega, Elsevier, vol. 3(6), pages 639-656, December.
    3. Richard R. Nelson & Sidney G. Winter, 2002. "Evolutionary Theorizing in Economics," Journal of Economic Perspectives, American Economic Association, vol. 16(2), pages 23-46, Spring.
    4. Peter Schmidt, 2018. "Market failure vs. system failure as a rationale for economic policy? A critique from an evolutionary perspective," Journal of Evolutionary Economics, Springer, vol. 28(4), pages 785-803, September.
    5. Carlsson, B & Stankiewicz, R, 1991. "On the Nature, Function and Composition of Technological Systems," Journal of Evolutionary Economics, Springer, vol. 1(2), pages 93-118, April.
    6. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    7. Dziallas, Marisa & Blind, Knut, 2019. "Innovation indicators throughout the innovation process: An extensive literature analysis," Technovation, Elsevier, vol. 80, pages 3-29.
    8. Gyeongcheol Cho & Heungsun Hwang & Marko Sarstedt & Christian M. Ringle, 2020. "Cutoff criteria for overall model fit indexes in generalized structured component analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(4), pages 189-202, December.
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    6. Lai, Jiun-Yan & Hung, Shih-Chang, 2025. "A socio-cognitive analysis of innovation diffusion: Interventionism and substantiveness," Technological Forecasting and Social Change, Elsevier, vol. 210(C).

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