IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-01296338.html
   My bibliography  Save this paper

Factors Affecting The Adoption Of The Personality Of Design
[Les Facteurs Determinants De La Diffusion/Adoption De La Personnalite Du Design]

Author

Listed:
  • Valentin Ngadi

    (CEPN - Centre d'Economie de l'Université Paris Nord - UP13 - Université Paris 13 - USPC - Université Sorbonne Paris Cité - CNRS - Centre National de la Recherche Scientifique)

Abstract

Through the omnipresence of design and the emergence of new behavior in the market, the customers seek to adopt the personalities of designs to consolidate their specificity in order to build a proper and differentiating identity. The diffusion/adoption of the design personality becomes a necessity for companies or organizations which wish to increase or maintain their market share, and like retaining the customers. However, the diffusion / adoption of the personality of design by the consumers is not something obvious and is not sufficiently explored. The objective is to determine the factors which support the diffusion / adoption of the personality of design. By using the theories of the interpersonal behavior, the reasoned action, the planned behavior, the acceptance of technology, the motivation and the diffusion of innovation, a model of the factors diffusion/adoption of the personality of design was put forward. The results show that the adoption is subordinate to the mix diffusion (the perception of the personality of the design, channels of communication and the personal factors of the individual).These factors can serve as a barometer and a predictive power of the diffusion/adoption of the personality of design by the consumers.

Suggested Citation

  • Valentin Ngadi, 2016. "Factors Affecting The Adoption Of The Personality Of Design [Les Facteurs Determinants De La Diffusion/Adoption De La Personnalite Du Design]," Working Papers hal-01296338, HAL.
  • Handle: RePEc:hal:wpaper:hal-01296338
    Note: View the original document on HAL open archive server: https://hal.science/hal-01296338
    as

    Download full text from publisher

    File URL: https://hal.science/hal-01296338/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    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. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    4. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    5. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    Full references (including those not matched with items on IDEAS)

    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. Valentin Ngadi, 2016. "Factors Affecting The Adoption Of The Personality Of Design [Les Facteurs Determinants De La Diffusion/Adoption De La Personnalite Du Design]," CEPN Working Papers hal-01296338, HAL.
    2. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    3. 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.
    4. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    5. Wajeeha Aslam & Marija Ham & Imtiaz Arif, 2017. "Consumer Behavioral Intentions towards Mobile Payment Services: An Empirical Analysis in Pakistan," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 29(2), pages 161-176.
    6. Chang, Yung-Chi & Enkhjargal, Uguumur & Huang, Chen-I & Lin, Wen-Ling & Ho, Chi-Ming, 2020. "Factors Affecting the Internet Banking Adoption," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(3), pages 117-131.
    7. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    8. Yang, Kiseol, 2012. "Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 19(5), pages 484-491.
    9. Diaz, Michelle Chandler & Loraas, Tina, 2010. "Learning new uses of technology while on an audit engagement: Contextualizing general models to advance pragmatic understanding," International Journal of Accounting Information Systems, Elsevier, vol. 11(1), pages 61-77.
    10. Mohammadreza Zolfagharian & Bob Walrave & A. Georges L. Romme & Rob Raven, 2020. "Toward the Dynamic Modeling of Transition Problems: The Case of Electric Mobility," Sustainability, MDPI, vol. 13(1), pages 1-23, December.
    11. Haque, Md Ziaul & Qian, Aimin & Hoque, Md Rakibul & Lucky, Suraiea Akter, 2022. "A unified framework for exploring the determinants of online social networks (OSNs) on institutional investors’ capital market investment decision," Technology in Society, Elsevier, vol. 70(C).
    12. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    13. Agarwal, Reeti & Rastogi, Sanjay & Mehrotra, Ankit, 2009. "Customers’ perspectives regarding e-banking in an emerging economy," Journal of Retailing and Consumer Services, Elsevier, vol. 16(5), pages 340-351.
    14. Mäntymäki, Matti & Merikivi, Jani & Verhagen, Tibert & Feldberg, Frans & Rajala, Risto, 2014. "Does a contextualized theory of planned behavior explain why teenagers stay in virtual worlds?," International Journal of Information Management, Elsevier, vol. 34(5), pages 567-576.
    15. Venkatesh, Viswanath & Speier, Cheri, 1999. "Computer Technology Training in the Workplace: A Longitudinal Investigation of the Effect of Mood, ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 79(1), pages 1-28, July.
    16. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    17. Premkumar, G. & Bhattacherjee, Anol, 2008. "Explaining information technology usage: A test of competing models," Omega, Elsevier, vol. 36(1), pages 64-75, February.
    18. Se-Joon Hong & James Y. L. Thong & Jae-Yun Moon & Kar-Yan Tam, 2008. "Understanding the behavior of mobile data services consumers," Information Systems Frontiers, Springer, vol. 10(4), pages 431-445, September.
    19. Ofir Turel & Yufei Yuan, 2007. "User Acceptance of Web-Based Negotiation Support Systems: The Role of Perceived Intention of the Negotiating Partner to Negotiate Online," Group Decision and Negotiation, Springer, vol. 16(5), pages 451-468, September.
    20. 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.

    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:hal:wpaper:hal-01296338. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.