IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v64y2022ics0969698921003349.html
   My bibliography  Save this article

Towards a Mobile App Diffusion of Innovations model: A multinational study of mobile wallet adoption

Author

Listed:
  • Shaw, Norman
  • Eschenbrenner, Brenda
  • Brand, Benedikt M.

Abstract

Demand for contactless payments has increased worldwide, but adoption varies by country. We propose a more parsimonious Diffusion of Innovations model (i.e., complexity is dropped and compatible advantage replaces relative advantage and compatibility) to investigate mobile wallet adoption, but with context-relevant extensions of security, privacy and ubiquity. The model is empirically tested for Canada, Germany and the United States. The findings support the proposed model. Furthermore, we find ubiquity, privacy concerns and security risks vary by country, and ubiquity plays a mediating role. This model can be utilized in future mobile app studies and provides country-specific guidance to practitioners.

Suggested Citation

  • Shaw, Norman & Eschenbrenner, Brenda & Brand, Benedikt M., 2022. "Towards a Mobile App Diffusion of Innovations model: A multinational study of mobile wallet adoption," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
  • Handle: RePEc:eee:joreco:v:64:y:2022:i:c:s0969698921003349
    DOI: 10.1016/j.jretconser.2021.102768
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698921003349
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2021.102768?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. Bandara, Ruwan & Fernando, Mario & Akter, Shahriar, 2020. "Explicating the privacy paradox: A qualitative inquiry of online shopping consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    2. Sharma, Sujeet Kumar & Mangla, Sachin Kumar & Luthra, Sunil & Al-Salti, Zahran, 2018. "Mobile wallet inhibitors: Developing a comprehensive theory using an integrated model," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 52-63.
    3. Kaur, Puneet & Dhir, Amandeep & Bodhi, Rahul & Singh, Tripti & Almotairi, Mohammad, 2020. "Why do people use and recommend m-wallets?," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    4. Zhunzhun Liu & Shenglin Ben & Ruidong Zhang, 2019. "Factors affecting consumers’ mobile payment behavior: a meta-analysis," Electronic Commerce Research, Springer, vol. 19(3), pages 575-601, September.
    5. Mombeuil, Claudel, 2020. "An exploratory investigation of factors affecting and best predicting the renewed adoption of mobile wallets," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    6. 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.
    7. France Bélanger & Tabitha L. James, 2020. "A Theory of Multilevel Information Privacy Management for the Digital Era," Information Systems Research, INFORMS, vol. 31(2), pages 510-536, June.
    8. Brem, Alexander & Viardot, Eric & Nylund, Petra A., 2021. "Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives?," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    9. 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.
    10. de Kerviler, Gwarlann & Demoulin, Nathalie T.M. & Zidda, Pietro, 2016. "Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers?," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 334-344.
    11. Okazaki, Shintaro & Mendez, Felipe, 2013. "Perceived Ubiquity in Mobile Services," Journal of Interactive Marketing, Elsevier, vol. 27(2), pages 98-111.
    12. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    13. Singh, Nidhi & Sinha, Neena, 2020. "How perceived trust mediates merchant's intention to use a mobile wallet technology," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    14. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    15. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    16. Gwarlann de Kerviler & Nathalie Demoulin & Pietro Zidda, 2016. "Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers?," Post-Print hal-01526066, HAL.
    17. Mombeuil, Claudel & Uhde, Helena, 2021. "Relative convenience, relative advantage, perceived security, perceived privacy, and continuous use intention of China’s WeChat Pay: A mixed-method two-phase design study," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    18. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1998. "Assessing Measurement Invariance in Cross-National Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(1), pages 78-90, June.
    19. Pham, Thanh-Thao T. & Ho, Jonathan C., 2015. "The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments," Technology in Society, Elsevier, vol. 43(C), pages 159-172.
    20. Streukens, Sandra & Leroi-Werelds, Sara, 2016. "Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results," European Management Journal, Elsevier, vol. 34(6), pages 618-632.
    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. Hamzah, Muhammad Iskandar & Ramli, Faten Aisyah Ahmad & Shaw, Norman, 2023. "The moderating influence of brand image on consumers' adoption of QR-code e-wallets," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    2. Lyu, Tu & Chen, Hao & Guo, Yulin, 2023. "Investigating innovation diffusion, social influence, and personal inner forces to understand people's participation in online e-waste recycling," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    3. Zhang, Qi & Ariffin, Shaizatulaqma Kamalul & Richardson, Christopher & Wang, Yuling, 2023. "Influencing factors of customer loyalty in mobile payment: A consumption value perspective and the role of alternative attractiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    4. Kumar, Aman & Shankar, Amit & Agarwal, Reeti & Agarwal, Vaishali & Alzeiby, Ebtesam Abdullah, 2024. "With enterprise metaverse comes great possibilities! Understanding metaverse usage intention from an employee perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).

    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. Egemen Hopalı & Özalp Vayvay & Zeynep Tuğçe Kalender & Deniz Turhan & Ceyda Aysuna, 2022. "How Do Mobile Wallets Improve Sustainability in Payment Services? A Comprehensive Literature Review," Sustainability, MDPI, vol. 14(24), pages 1-30, December.
    2. Hamzah, Muhammad Iskandar & Ramli, Faten Aisyah Ahmad & Shaw, Norman, 2023. "The moderating influence of brand image on consumers' adoption of QR-code e-wallets," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    3. Kajol, K. & Singh, Ranjit & Paul, Justin, 2022. "Adoption of digital financial transactions: A review of literature and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    4. Verkijika, Silas Formunyuy & Neneh, Brownhilder Ngek, 2021. "Standing up for or against: A text-mining study on the recommendation of mobile payment apps," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    5. Zhong, Junying & Chen, Tiao, 2023. "Antecedents of mobile payment loyalty: An extended perspective of perceived value and information system success model," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    6. Panetta, Ida Claudia & Leo, Sabrina & Delle Foglie, Andrea, 2023. "The development of digital payments – Past, present, and future – From the literature," Research in International Business and Finance, Elsevier, vol. 64(C).
    7. Hu, Bo & Liu, Yu-li & Yan, Wenjia, 2021. "Should I scan my face? The influence of perceived value and trust on Chinese users' intention to use facial recognition payment," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238028, International Telecommunications Society (ITS).
    8. Mombeuil, Claudel & Uhde, Helena, 2021. "Relative convenience, relative advantage, perceived security, perceived privacy, and continuous use intention of China’s WeChat Pay: A mixed-method two-phase design study," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    9. Fu, Hsin-Pin & Chang, Tsung-Sheng & Wang, Chia-Nan & Hsu, Hsien-Pin & Liu, Chien-Hung & Yeh, Chih-Yao, 2022. "Critical factors affecting the introduction of mobile payment tools by microretailers," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    10. Talwar, Manish & Talwar, Shalini & Kaur, Puneet & Islam, A.K.M. Najmul & Dhir, Amandeep, 2021. "Positive and negative word of mouth (WOM) are not necessarily opposites: A reappraisal using the dual factor theory," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    11. Dash, Ganesh & Sharma, Kiran & Yadav, Neha, 2023. "The diffusion of mobile payments: Profiling the adopters and non-adopters, Roger's way," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    12. Yuyang Zhao & Fernando Bacao, 2021. "How Does the Pandemic Facilitate Mobile Payment? An Investigation on Users’ Perspective under the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(3), pages 1-22, January.
    13. Matemba, Elizabeth D. & Li, Guoxin, 2018. "Consumers' willingness to adopt and use WeChat wallet: An empirical study in South Africa," Technology in Society, Elsevier, vol. 53(C), pages 55-68.
    14. Oussama Tounekti & Antonio Ruiz-Martínez & Antonio F. Skarmeta Gomez, 2022. "Research in Electronic and Mobile Payment Systems: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    15. Liu, Yu-li & Yan, Wenjia & Hu, Bo, 2021. "Resistance to facial recognition payment in China: The influence of privacy-related factors," Telecommunications Policy, Elsevier, vol. 45(5).
    16. Anjuli Franz & Alexander Benlian, 2022. "Exploring interdependent privacy – Empirical insights into users’ protection of others’ privacy on online platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2293-2309, December.
    17. Shih-Yi Yu & Der Chao Chen, 2022. "Consumers’ Switching from Cash to Mobile Payment under the Fear of COVID-19 in Taiwan," Sustainability, MDPI, vol. 14(14), pages 1-13, July.
    18. Avornyo, Philip & Fang, Jiaming & Antwi, Collins Opoku & Aboagye, Michael Osei & Boadi, Evans Asante, 2019. "Are customers still with us? The influence of optimum stimulation level and IT-specific traits on mobile banking discontinuous usage intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 348-360.
    19. Greenacre, Luke & Akbar, Skye, 2019. "The impact of payment method on shopping behaviour among low income consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 87-93.
    20. Uzir, Md Uzir Hossain & Al Halbusi, Hussam & Lim, Rodney & Jerin, Ishraq & Abdul Hamid, Abu Bakar & Ramayah, Thurasamy & Haque, Ahasanul, 2021. "Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19," Technology in Society, Elsevier, vol. 67(C).

    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:64:y:2022:i:c:s0969698921003349. 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.