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The overlooked role of embeddedness in disruptive innovation theory

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  • Reinhardt, Ronny
  • Gurtner, Sebastian

Abstract

Disruptive innovation theory assumes that primary and secondary performance dimensions as well as price influence adoption and use differently depending on the product category. Study 1 tests this premise using a large and heterogeneous sample of consumers. We surveyed 871 users in three traditional, high-cost product categories (business software, video games, conventional TV) and three related, potentially disruptive, low-cost product categories (mobile business apps, mobile games, internet TV). The study does not find systematic differences between the effects of more technologically-oriented performance dimensions or price on adoption. Following an explanatory mixed-methods approach, Study 2, which relies on 32 in-depth interviews with consumers, shows that product embeddedness, a more socially-oriented dimension, may play a decisive role in explaining the results. Embeddedness, defined as the degree to which a product is anchored in the social, market and technological system of the user, is an important moderator that complements extant theory and may thus help to better understand the dynamics of disruptive innovations.

Suggested Citation

  • Reinhardt, Ronny & Gurtner, Sebastian, 2018. "The overlooked role of embeddedness in disruptive innovation theory," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 268-283.
  • Handle: RePEc:eee:tefoso:v:132:y:2018:i:c:p:268-283
    DOI: 10.1016/j.techfore.2018.02.011
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    5. Mario Coccia, 2020. "Cyclical phenomena in technological change," Papers 2010.03168, arXiv.org, revised Oct 2020.
    6. Peltier, James W. & Dahl, Andrew J. & Swan, Eric L., 2020. "Digital information flows across a B2C/C2C continuum and technological innovations in service ecosystems: A service-dominant logic perspective," Journal of Business Research, Elsevier, vol. 121(C), pages 724-734.
    7. Klaudia Bracio & Marek Szarucki, 2020. "Mixed Methods Utilisation in Innovation Management Research: A Systematic Literature Review and Meta-Summary," JRFM, MDPI, vol. 13(11), pages 1-27, October.
    8. Julian Marius Müller & Raphael Kunderer, 2019. "Ex-Ante Prediction of Disruptive Innovation: The Case of Battery Technologies," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    9. Bhatt, Priyanka C. & Lai, Kuei-Kuei & Drave, Vinayak A. & Lu, Tzu-Chuen & Kumar, Vimal, 2023. "Patent analysis based technology innovation assessment with the lens of disruptive innovation theory: A case of blockchain technological trajectories," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
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