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Consumer acceptance of a revolutionary technology-driven product: The role of adoption in the industrial design development

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  • Park, Jungkun
  • Gunn, Frances
  • Lee, YoungHee
  • Shim, Scott

Abstract

Understanding how consumers adopt a state of the art product is important for the development and marketing of innovative products. The purpose of this study is to examine factors that affect consumer intentions to use a revolutionary technology-driven product (RTP). The research integrates two innovation adoption models, the Unified Technology Acceptance and Utilization Theory (UTAUT) and the Task-Technology Fit (TTF) model with two antecedents of consumer characteristics: consumer innovativeness and perceived value of a new product. The study examines consumer responses to an unfamiliar product, the TEASER which is a conceptual digital cookbook that offers taste sampling, thereby providing an online food-tasting experience. Consumers who are prone to innovativeness and who perceive value in a RTP’s aesthetics are able to discern the conditions that support their intent to use such a product. The resulting model expands the UTAUT and TTF theories by showing that UTAUT variables mediate between the variables of TTF and adoption intentions. These results support the need for nonlinear industrial development processes involving consumers.

Suggested Citation

  • Park, Jungkun & Gunn, Frances & Lee, YoungHee & Shim, Scott, 2015. "Consumer acceptance of a revolutionary technology-driven product: The role of adoption in the industrial design development," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 115-124.
    • Handle: RePEc:eee:joreco:v:26:y:2015:i:c:p:115-124
    DOI: 10.1016/j.jretconser.2015.05.003
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    1. Midgley, David F & Dowling, Grahame R, 1978. "Innovativeness: The Concept and Its Measurement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 4(4), pages 229-242, March.
    2. 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.
    3. Roehrich, Gilles, 2004. "Consumer innovativeness: Concepts and measurements," Journal of Business Research, Elsevier, vol. 57(6), pages 671-677, June.
    4. Walsh, Vivien, 1996. "Design, innovation and the boundaries of the firm," Research Policy, Elsevier, vol. 25(4), pages 509-529, June.
    5. Arts, Joep W.C. & Frambach, Ruud T. & Bijmolt, Tammo H.A., 2011. "Generalizations on consumer innovation adoption: A meta-analysis on drivers of intention and behavior," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 134-144.
    6. Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
    7. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    8. Bloch, Peter H & Brunel, Frederic F & Arnold, Todd J, 2003. "Individual Differences in the Centrality of Visual Product Aesthetics: Concept and Measurement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(4), pages 551-565, March.
    9. Gregan-Paxton, Jennifer & John, Deborah Roedder, 1997. "Consumer Learning by Analogy: A Model of Internal Knowledge Transfer," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(3), pages 266-284, December.
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    Cited by:

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    2. Federico Mangiò & Daniela Andreini & Giuseppe Pedeliento, 2020. "Hands off my data: users’ security concerns and intention to adopt privacy enhancing technologies," Italian Journal of Marketing, Springer, vol. 2020(4), pages 309-342, December.
    3. Argyris, Young Anna & Muqaddam, Aziz & Miller, Steven, 2021. "The effects of the visual presentation of an Influencer's Extroversion on perceived credibility and purchase intentions—moderated by personality matching with the audience," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
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    5. Xiu-Fu Tian & Run-Ze Wu, 2022. "Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT," IJERPH, MDPI, vol. 19(16), pages 1-19, August.

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