IDEAS home Printed from https://ideas.repec.org/p/tut/cremwp/201342.html
   My bibliography  Save this paper

Validation d’un modèle d’intention de magasiner avec le smartphone : implications pour les concepteurs de services mobiles

Author

Listed:
  • Gérard Cliquet

    (CREM UMR CNRS 6211, IGR-IAE, Université de Rennes 1, France)

  • Christine Gonzalez

    (IUT de Montpellier, Montpellier Recherche en Management, France)

  • Élodie Huré

    (ESC Rennes School of Business, France)

  • Karine Picot-Coupey

    (CREM UMR CNRS 6211, IGR-IAE, Université de Rennes 1, France)

Abstract

Le commerce électronique connaît un nouveau mode de développement à travers la forte croissance du smartphone parmi les consommateurs. Un certain nombre de modèles d’adoption ont été proposés dont beaucoup reposent sur le téléphone mobile en général. Cet article vise, dans un premier temps, à cerner les déterminants de l’adoption du smartphone comme moyen d’accompagnement du consommateur dans son processus de magasinage, et dans un second temps, à concevoir un modèle d’intention d’utiliser le smartphone pendant ce processus. A cet effet, un modèle de type PLS (Partial Least Square) a été validé en fonction de l’intention par le consommateur d’utiliser le smartphone en vue du magasinage dit mobile ou m-magasinage. Ce modèle distingue les déterminants de la valeur utilitaire (ubiquité et maîtrise de l’outil par le consommateur) et ceux de la valeur hédonique (plaisir perçu). Les résultats mettent donc en avant l’ubiquité et la valeur hédonique ce qui n’était fait que partiellement dans les modèles précédents. Les entreprises conceptrices des services mobiles doivent donc tenir compte de la capacité des usagers à les maîtriser en toutes circonstances de préférence en jouant sur le côté ludique sans pour autant sacrifier la valeur utilitaire que représente cette innovation pour le consommateur.

Suggested Citation

  • Gérard Cliquet & Christine Gonzalez & Élodie Huré & Karine Picot-Coupey, 2013. "Validation d’un modèle d’intention de magasiner avec le smartphone : implications pour les concepteurs de services mobiles," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201342, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    • Handle: RePEc:tut:cremwp:201342
    as

    Download full text from publisher

    File URL: https://ged.univ-rennes1.fr/nuxeo/site/esupversions/79145ea3-5080-4b81-b868-aec2342c79f6
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Okazaki, Shintaro & Mendez, Felipe, 2013. "Perceived Ubiquity in Mobile Services," Journal of Interactive Marketing, Elsevier, vol. 27(2), pages 98-111.
    2. Sultan, Fareena & Rohm, Andrew J. & Gao, Tao (Tony), 2009. "Factors Influencing Consumer Acceptance of Mobile Marketing: A Two-Country Study of Youth Markets," Journal of Interactive Marketing, Elsevier, vol. 23(4), pages 308-320.
    3. Dowling, Grahame R & Staelin, Richard, 1994. "A Model of Perceived Risk and Intended Risk-Handling Activity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 119-134, June.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Sanghyun Kim & Gary Garrison, 2009. "Investigating mobile wireless technology adoption: An extension of the technology acceptance model," Information Systems Frontiers, Springer, vol. 11(3), pages 323-333, July.
    6. Figge, Stefan, 2004. "Situation-dependent services--a challenge for mobile network operators," Journal of Business Research, Elsevier, vol. 57(12), pages 1416-1422, December.
    7. 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.
    8. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    9. Sandra J. Milberg & H. Jeff Smith & Sandra J. Burke, 2000. "Information Privacy: Corporate Management and National Regulation," Organization Science, INFORMS, vol. 11(1), pages 35-57, February.
    10. 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.
    11. Bruner, Gordon II & Kumar, Anand, 2005. "Explaining consumer acceptance of handheld Internet devices," Journal of Business Research, Elsevier, vol. 58(5), pages 553-558, May.
    12. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    13. Dholakia, Ruby Roy & Dholakia, Nikhilesh, 2004. "Mobility and markets: emerging outlines of m-commerce," Journal of Business Research, Elsevier, vol. 57(12), pages 1391-1396, December.
    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. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    2. 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.
    3. Muhammad Rizwan & Hamna Sultan & Sadia Parveen & Shumaila Nawaz & Samreen Sattar & Maryam Sana, 2013. "Determinants of Online Shopping and Moderating Role of Innovativeness and Perceived Risk," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(2), pages 142-159, February.
    4. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    5. Lara Stocchi & Naser Pourazad & Nina Michaelidou & Arry Tanusondjaja & Paul Harrigan, 2022. "Marketing research on Mobile apps: past, present and future," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 195-225, March.
    6. Luceri, Beatrice & (Tammo) Bijmolt, T.H.A. & Bellini, Silvia & Aiolfi, Simone, 2022. "What drives consumers to shop on mobile devices? Insights from a Meta-Analysis," Journal of Retailing, Elsevier, vol. 98(1), pages 178-196.
    7. Z Irani & Y K Dwivedi & M D Williams, 2009. "Understanding consumer adoption of broadband: an extension of the technology acceptance model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(10), pages 1322-1334, October.
    8. Allam, Hesham & Bliemel, Michael & Spiteri, Louise & Blustein, James & Ali-Hassan, Hossam, 2019. "Applying a multi-dimensional hedonic concept of intrinsic motivation on social tagging tools: A theoretical model and empirical validation," International Journal of Information Management, Elsevier, vol. 45(C), pages 211-222.
    9. de Luna, Iviane Ramos & Liébana-Cabanillas, Francisco & Sánchez-Fernández, Juan & Muñoz-Leiva, Francisco, 2019. "Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 931-944.
    10. 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.
    11. Sabakun Naher Shetu & Md. Muzahidul Islam & Sadia Islam Promi, 2022. "An Empirical Investigation of the Continued Usage Intention of Digital Wallets: The Moderating Role of Perceived Technological Innovativeness," Future Business Journal, Springer, vol. 8(1), pages 1-17, December.
    12. Yuan Li & Jiaqi Liang & Jingxiong Huang & Mengsheng Yang & Runyan Li & Huanxia Bai, 2022. "Would You Accept Virtual Tourism? The Impact of COVID-19 Risk Perception on Technology Acceptance from a Comparative Perspective," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    13. Wen-Lung Shiau & Yogesh K. Dwivedi, 2013. "Citation and co-citation analysis to identify core and emerging knowledge in electronic commerce research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1317-1337, March.
    14. Nastjuk, Ilja & Herrenkind, Bernd & Marrone, Mauricio & Brendel, Alfred Benedikt & Kolbe, Lutz M., 2020. "What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    15. 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.
    16. Tsai, Juin-Ming & Hung, Shiu-Wan & Yang, Ting-Ting, 2020. "In pursuit of goodwill? The cross-level effects of social enterprise consumer behaviours," Journal of Business Research, Elsevier, vol. 109(C), pages 350-361.
    17. 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.
    18. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    19. Venkatesh, Viswanath & Maruping, Likoebe M. & Brown, Susan A., 2006. "Role of time in self-prediction of behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 100(2), pages 160-176, July.
    20. 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.

    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:tut:cremwp:201342. 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: GERMAIN Lucie (email available below). General contact details of provider: https://edirc.repec.org/data/crmrefr.html .

    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.