IDEAS home Printed from https://ideas.repec.org/a/sae/iimkoz/v10y2021i1p82-98.html
   My bibliography  Save this article

Developing a Research Model for Mobile Wallet Adoption and Usage

Author

Listed:
  • Ajimon George
  • Prajod Sunny

Abstract

The scope of the mobile wallet in a ‘Cashless India’, whose utility has been spurred by the exponentially growing smartphone technology, is a contemporary topic of deliberation. The reach of mobile wallets gets broader each day with the entry of new stakeholders into the scenario, making mobile wallets indispensible for meeting daily needs. Given the COVID-19 pandemic situation, increased reliance on mobile wallets, and its acceptability among the public and other associated e-services, researchers and service providers are eager to explore its adoption as well as its continued usage. This paper theoretically examines factors influencing behavioural intention and actual usage of mobile wallets through various technology adoption models and behavioural studies. Based on an extensive review of the literature, this paper attempts to draw a comprehensive conceptualization of mobile wallet adoption and actual use by exploring the influence of various key factors. This proposed model could successfully present the case of mobile wallet adoption and usage, as well as offer the possibility of deriving important managerial implications concerning effective marketing techniques.

Suggested Citation

  • Ajimon George & Prajod Sunny, 2021. "Developing a Research Model for Mobile Wallet Adoption and Usage," IIM Kozhikode Society & Management Review, , vol. 10(1), pages 82-98, January.
  • Handle: RePEc:sae:iimkoz:v:10:y:2021:i:1:p:82-98
    DOI: 10.1177/2277975220965354
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2277975220965354
    Download Restriction: no

    File URL: https://libkey.io/10.1177/2277975220965354?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
    ---><---

    References listed on IDEAS

    as
    1. Iviane Ramos-de-Luna & Francisco Montoro-Ríos & Francisco Liébana-Cabanillas, 2016. "Determinants of the intention to use NFC technology as a payment system: an acceptance model approach," Information Systems and e-Business Management, Springer, vol. 14(2), pages 293-314, May.
    2. Ha, Sejin & Stoel, Leslie, 2009. "Consumer e-shopping acceptance: Antecedents in a technology acceptance model," Journal of Business Research, Elsevier, vol. 62(5), pages 565-571, May.
    3. Zoran Kalinic & Veljko Marinkovic, 2016. "Determinants of users’ intention to adopt m-commerce: an empirical analysis," Information Systems and e-Business Management, Springer, vol. 14(2), pages 367-387, May.
    4. V. Kumar & Nandini Nim & Amalesh Sharma, 2019. "Correction to: Driving growth of Mwallets in emerging markets: a retailer’s perspective," Journal of the Academy of Marketing Science, Springer, vol. 47(4), pages 770-770, July.
    5. 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.
    6. Schurr, Paul H & Ozanne, Julie L, 1985. "Influence on Exchange Processes: Buyers' Preconceptions of a Seller's Trustworthiness and Bargaining Toughness," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(4), pages 939-953, March.
    7. Agrebi, Sinda & Jallais, Joël, 2015. "Explain the intention to use smartphones for mobile shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 16-23.
    8. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    9. 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.
    10. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
    11. Shaw, Norman, 2014. "The mediating influence of trust in the adoption of the mobile wallet," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 449-459.
    12. 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.
    13. Katz, Michael L & Shapiro, Carl, 1986. "Technology Adoption in the Presence of Network Externalities," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 822-841, August.
    14. M. Lynne Markus, 1994. "Electronic Mail as the Medium of Managerial Choice," Organization Science, INFORMS, vol. 5(4), pages 502-527, November.
    15. Daniel Gersten Reiss, 2018. "Is money going digital? An alternative perspective on the current hype," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-6, December.
    16. Ajimon George, 2017. "Precautions for Safe Use of Internet Banking: Scale Development and Validation," IIM Kozhikode Society & Management Review, , vol. 6(2), pages 186-195, July.
    17. 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.
    18. Kim, Myung-Ja & Chung, Namho & Lee, Choong-Ki, 2011. "The effect of perceived trust on electronic commerce: Shopping online for tourism products and services in South Korea," Tourism Management, Elsevier, vol. 32(2), pages 256-265.
    19. V. Kumar & Nandini Nim & Amalesh Sharma, 2019. "Driving growth of Mwallets in emerging markets: a retailer’s perspective," Journal of the Academy of Marketing Science, Springer, vol. 47(4), pages 747-769, July.
    20. Janice Y. Tsai & Serge Egelman & Lorrie Cranor & Alessandro Acquisti, 2011. "The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study," Information Systems Research, INFORMS, vol. 22(2), pages 254-268, June.
    21. Neharika Sobti, 2019. "Impact of demonetization on diffusion of mobile payment service in India," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 16(4), pages 472-497, April.
    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. 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.
    2. Brusch, Ines & Rappel, Nina, 2020. "Exploring the acceptance of instant shopping – An empirical analysis of the determinants of user intention," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    3. Juan Fernando Tavera & Beatriz E. Londoño, 2014. "Factores determinantes de la aceptación tecnológica del e-commerce en paises emergentes," Revista Ciencias Estratégicas, Universidad Pontificia Bolivariana, April.
    4. Kalinic, Zoran & Marinkovic, Veljko & Molinillo, Sebastián & Liébana-Cabanillas, Francisco, 2019. "A multi-analytical approach to peer-to-peer mobile payment acceptance prediction," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 143-153.
    5. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    6. Francisco Rejón-Guardia & Juán Sánchez-Fernández & Francisco Muñoz-Leiva, 2011. "Motivational Factors that influence the Acceptance of Microblogging Social Networks: The µBAM Model," FEG Working Paper Series 06/11, Faculty of Economics and Business (University of Granada).
    7. Ritu Agarwal & V. Sambamurthy & Ralph M. Stair, 2000. "Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy—An Empirical Assessment," Information Systems Research, INFORMS, vol. 11(4), pages 418-430, December.
    8. 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.
    9. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
    10. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    11. Donglin Han & Huiying (Cynthia) Hou & Hao Wu & Joseph H. K. Lai, 2021. "Modelling Tourists’ Acceptance of Hotel Experience-Enhancement Smart Technologies," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    12. Miluska Murillo-Zegarra & Carla Ruiz-Mafe & Silvia Sanz-Blas, 2020. "The Effects of Mobile Advertising Alerts and Perceived Value on Continuance Intention for Branded Mobile Apps," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    13. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2018. "The moderating role of device type and age of users on the intention to use mobile shopping applications," Technology in Society, Elsevier, vol. 53(C), pages 79-90.
    14. 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.
    15. 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.
    16. Saghafi, Fatemeh & Noorzad Moghaddam, Ehsan & Aslani, Alireza, 2017. "Examining effective factors in initial acceptance of high-tech localized technologies: Xamin, Iranian localized operating system," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 275-288.
    17. Konstantinos Dendrinos & George Spais, 2024. "An investigation of selected UTAUT constructs and consumption values of Gen Z and Gen X for mobile banking services and behavioral intentions to facilitate the adoption of mobile apps," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(3), pages 492-522, September.
    18. Al-Okaily, Manaf & Lutfi, Abdalwali & Alsaad, Abdallah & Taamneh, Abdallah & Alsyouf, Adi, 2020. "The Determinants of Digital Payment Systems’ Acceptance under Cultural Orientation Differences: The Case of Uncertainty Avoidance," Technology in Society, Elsevier, vol. 63(C).
    19. Andrei OGREZEANU, 2015. "Models Of Technology Adoption: An Integrative Approach," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 5, pages 55-67, June.
    20. repec:dau:papers:123456789/2076 is not listed on IDEAS
    21. 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.

    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:sae:iimkoz:v:10:y:2021:i:1:p:82-98. 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: SAGE Publications (email available below). General contact details of provider: .

    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.