IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v26y2015icp115-124.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698915000521
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jretconser.2015.05.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tonder, Estelle van & Saunders, Stephen Graham & Lisita, Inonge Theresa & de Beer, Leon Tielman, 2018. "The importance of customer citizenship behaviour in the modern retail environment: Introducing and testing a social exchange model," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 92-102.
    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).
    4. Pantano, Eleonora & Vannucci, Virginia, 2019. "Who is innovating? An exploratory research of digital technologies diffusion in retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 297-304.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guo, Yuntao & Souders, Dustin & Labi, Samuel & Peeta, Srinivas & Benedyk, Irina & Li, Yujie, 2021. "Paving the way for autonomous Vehicles: Understanding autonomous vehicle adoption and vehicle fuel choice under user heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 364-398.
    2. Lin, Zhibin & Filieri, Raffaele, 2015. "Airline passengers’ continuance intention towards online check-in services: The role of personal innovativeness and subjective knowledge," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 158-168.
    3. Heidenreich, Sven & Kraemer, Tobias, 2015. "Passive innovation resistance: The curse of innovation? Investigating consequences for innovative consumer behavior," Journal of Economic Psychology, Elsevier, vol. 51(C), pages 134-151.
    4. Jahanmir, Sara F. & Cavadas, Joana, 2018. "Factors affecting late adoption of digital innovations," Journal of Business Research, Elsevier, vol. 88(C), pages 337-343.
    5. Pranpreya Sriwannawit & Ulf Sandström, 2015. "Large-scale bibliometric review of diffusion research," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1615-1645, February.
    6. Truong, Yann, 2013. "A cross-country study of consumer innovativeness and technological service innovation," Journal of Retailing and Consumer Services, Elsevier, vol. 20(1), pages 130-137.
    7. Hwang, Jinsoo & Kim, Jinkyung Jenny & Lee, Kwang-Woo, 2021. "Investigating consumer innovativeness in the context of drone food delivery services: Its impact on attitude and behavioral intentions," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    8. Jang, Sunghoon & Hong, Doosun & Lee, Chungwon, 2024. "Exploring the behavioral adoption of automated parcel locker systems under COVID-19," Transport Policy, Elsevier, vol. 151(C), pages 1-11.
    9. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    10. Tahani Z. Aldahdouh & Petri Nokelainen & Vesa Korhonen, 2020. "Technology and Social Media Usage in Higher Education: The Influence of Individual Innovativeness," SAGE Open, , vol. 10(1), pages 21582440198, January.
    11. Seok Chan Jeong & Beom-Jin Choi, 2022. "Moderating Effects of Consumers’ Personal Innovativeness on the Adoption and Purchase Intention of Wearable Devices," SAGE Open, , vol. 12(4), pages 21582440221, November.
    12. Arun Kumar Kaushik & Zillur Rahman, 2016. "Self-service innovativeness scale: introduction, development, and validation of scale," Service Business, Springer;Pan-Pacific Business Association, vol. 10(4), pages 799-822, December.
    13. Wenyao Zhang & Qingpu Zhang, 2017. "Exploring Antecedent Difference between Early and Late Adopters of Disruptive Innovation in E-business Microcredit Context: Evidence from China," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1-29, December.
    14. Lokesh Jasrai, 2014. "Measuring Mobile Telecom Service Innovativeness Among Youth," Paradigm, , vol. 18(1), pages 103-116, June.
    15. Alalwan, Ali Abdallah & Baabdullah, Abdullah M. & Rana, Nripendra P. & Tamilmani, Kuttimani & Dwivedi, Yogesh K., 2018. "Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust," Technology in Society, Elsevier, vol. 55(C), pages 100-110.
    16. Petschnig, Martin & Heidenreich, Sven & Spieth, Patrick, 2014. "Innovative alternatives take action – Investigating determinants of alternative fuel vehicle adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 68-83.
    17. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    18. Gruber, Mario, 2020. "An evolutionary perspective on adoption-diffusion theory," Journal of Business Research, Elsevier, vol. 116(C), pages 535-541.
    19. Heidenreich, Sven & Killmer, Jan F. & Millemann, Jan A., 2022. "If at first you don't adopt - Investigating determinants of new product leapfrogging behavior," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    20. Christian Nitzl & Wynne W. Chin, 2017. "The case of partial least squares (PLS) path modeling in managerial accounting research," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 28(2), pages 137-156, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joreco:v:26:y:2015:i:c:p:115-124. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.