IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v139y2022icp1255-1260.html
   My bibliography  Save this article

Usage intention model of mobile apps in membership application

Author

Listed:
  • Huang, Duen-Huang
  • Chueh, Hao-En

Abstract

The growing ubiquity of wireless network and mobile devices has allowed mobile applications to flourish. Many firms have developed mobile membership applications to provide their customers with diversified and convenient services. To understand the factors influencing the intention to use mobile membership applications, the present study expanded on the technology acceptance model and devised a usage intention model. In this study, meta-analysis and structural equation modeling were used in the validation of the proposed model. The results indicate that both perceived usefulness and perceived ease of use had a significant positive effect on user attitude in decision making regarding whether to use a mobile membership application, whereas perceived risk significantly negatively affected user attitude. Furthermore, user attitude and the provision of reward program had significant positive effects on usage intention. Our research findings can help firms develop successful mobile membership applications to effectively implement customer relationship management.

Suggested Citation

  • Huang, Duen-Huang & Chueh, Hao-En, 2022. "Usage intention model of mobile apps in membership application," Journal of Business Research, Elsevier, vol. 139(C), pages 1255-1260.
    • Handle: RePEc:eee:jbrese:v:139:y:2022:i:c:p:1255-1260
    DOI: 10.1016/j.jbusres.2021.10.062
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296321007888
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2021.10.062?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. Markus Blut & Cheng Wang, 2020. "Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage," Journal of the Academy of Marketing Science, Springer, vol. 48(4), pages 649-669, July.
    2. Kasilingam, Dharun Lingam, 2020. "Understanding the attitude and intention to use smartphone chatbots for shopping," Technology in Society, Elsevier, vol. 62(C).
    3. Michael Rodriguez & Stefanie Boyer, 2020. "The impact of mobile customer relationship management (mCRM) on sales collaboration and sales performance," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(3), pages 137-148, September.
    4. Robert Jeyakumar Nathan & Vijay Victor & Melanie Tan & Maria Fekete-Farkas, 2020. "Tourists’ use of Airbnb app for visiting a historical city," Information Technology & Tourism, Springer, vol. 22(2), pages 217-242, June.
    5. McLean, Graeme & Osei-Frimpong, Kofi & Al-Nabhani, Khalid & Marriott, Hannah, 2020. "Examining consumer attitudes towards retailers' m-commerce mobile applications – An initial adoption vs. continuous use perspective," Journal of Business Research, Elsevier, vol. 106(C), pages 139-157.
    6. Ehrenhard, Michel & Wijnhoven, Fons & van den Broek, Tijs & Zinck Stagno, Marc, 2017. "Unlocking how start-ups create business value with mobile applications: Development of an App-enabled Business Innovation Cycle," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 26-36.
    7. Dacko, Scott G., 2017. "Enabling smart retail settings via mobile augmented reality shopping apps," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 243-256.
    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. Chueh, Hao-En & Huang, Duen-Huang, 2023. "Usage intention model of digital assessment systems," Journal of Business Research, Elsevier, vol. 156(C).
    2. Pinaz Tiwari & Rahul Pratap Singh Kaurav & Kian Yeik Koay, 2024. "Understanding travel apps usage intention: findings from PLS and NCA," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(1), pages 25-41, March.

    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. Stefan Hoffmann & Tom Joerß & Robert Mai & Payam Akbar, 2022. "Augmented reality-delivered product information at the point of sale: when information controllability backfires," Journal of the Academy of Marketing Science, Springer, vol. 50(4), pages 743-776, July.
    2. Daria Plotkina & Landisoa Rabeson, 2022. "The role of transactionality of mobile branded apps in brand experience and its impact on loyalty," Journal of Brand Management, Palgrave Macmillan, vol. 29(5), pages 470-483, September.
    3. 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.
    4. Ho, Xuan Huong & Nguyen, Dong Phong & Cheng, Julian Ming Sung & Le, Angelina Nhat Hanh, 2022. "Customer engagement in the context of retail mobile apps: A contingency model integrating spatial presence experience and its drivers," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    5. Arghashi, Vahideh & Yuksel, Cenk Arsun, 2022. "Interactivity, Inspiration, and Perceived Usefulness! How retailers’ AR-apps improve consumer engagement through flow," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    6. Mütterlein, Joschka & Kunz, Reinhard E. & Baier, Daniel, 2019. "Effects of lead-usership on the acceptance of media innovations: A mobile augmented reality case," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 113-124.
    7. Jan, Ihsan Ullah & Ji, Seonggoo & Kim, Changju, 2023. "What (de) motivates customers to use AI-powered conversational agents for shopping? The extended behavioral reasoning perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    8. Xin Yi Chan & Muhammad Khalilur Rahman & Abdullah Al Mamun & Anas A. Salameh & Wan Mohd Hirwani Wan Hussain & Syed Shah Alam, 2022. "Predicting the Intention and Adoption of Mobile Shopping During the COVID-19 Lockdown in Malaysia," SAGE Open, , vol. 12(2), pages 21582440221, April.
    9. Serravalle, Francesca & Vanheems, Régine & Viassone, Milena, 2023. "Does product involvement drive consumer flow state in the AR environment? A study on behavioural responses," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    10. Karla Münzel & Wouter Boon & Koen Frenken & Taneli Vaskelainen, 2018. "Carsharing business models in Germany: characteristics, success and future prospects," Information Systems and e-Business Management, Springer, vol. 16(2), pages 271-291, May.
    11. Jungsug Kim & Eunjeung Kim, 2022. "Relationship between Self-Esteem and Technological Readiness: Mediation Effect of Readiness for Change and Moderated Mediation Effect of Gender in South Korean Teachers," IJERPH, MDPI, vol. 19(14), pages 1-11, July.
    12. Carsten D. Schultz & Björn Gorlas, 2023. "Magic mirror on the wall: Cross-buying at the point of sale," Electronic Commerce Research, Springer, vol. 23(3), pages 1677-1700, September.
    13. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    14. Meena, Rahul & Sarabhai, Samar, 2023. "Extrinsic and intrinsic motivators for usage continuance of hedonic mobile apps," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    15. David Harborth & Sebastian Pape, 2020. "Empirically Investigating Extraneous Influences on the “APCO” Model—Childhood Brand Nostalgia and the Positivity Bias," Future Internet, MDPI, vol. 12(12), pages 1-16, December.
    16. Hsu, Sheila Hsuan-Yu & Tsou, Hung-Tai & Chen, Ja-Shen, 2021. "“Yes, we do. Why not use augmented reality?†customer responses to experiential presentations of AR-based applications," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    17. Baabdullah, Abdullah M. & Alalwan, Ali Abdallah & Algharabat, Raed S. & Metri, Bhimaraya & Rana, Nripendra P., 2022. "Virtual agents and flow experience: An empirical examination of AI-powered chatbots," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    18. Li, Meichan & Wang, Rui, 2023. "Chatbots in e-commerce: The effect of chatbot language style on customers’ continuance usage intention and attitude toward brand," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    19. Carlos Lamela-Orcasitas & Jesús García-Madariaga, 2023. "How to really quantify the economic value of customer information in corporate databases," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    20. Iranmanesh, Mohammad & Min, Connie Low & Senali, Madugoda Gunaratnege & Nikbin, Davoud & Foroughi, Behzad, 2022. "Determinants of switching intention from web-based stores to retail apps: Habit as a moderator," Journal of Retailing and Consumer Services, Elsevier, vol. 66(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:jbrese:v:139:y:2022:i:c:p:1255-1260. 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: http://www.elsevier.com/locate/jbusres .

    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.