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An analysis of the relationship between quality and user acceptance in smartphone apps

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  • Mi Jin Noh

    (Kyungpook National University)

  • Kyung Tag Lee

    (Yeungnam University)

Abstract

This study investigates consumer intentions within the smartphone app environment. More specifically, it studies the factors influencing the intention to use banking apps based on the smartphone by employing the information system success model and a revised technology acceptance model. The study examines how quality factors and attitudes toward mobile apps-based banking influence the intention to use banking apps, and whether trust influences the relationship between quality factors and intention to use. In it, we collect data from 520 users and estimate the structural model. The results indicate that attitudes to mobile apps-based banking, as well as information and service quality, affect consumers’ intention to use banking apps. We further confirm that three particular quality factors, moderated by trust, affect the intention to use these apps. This study helps to explain consumers’ mobile apps-based banking behaviours, by combining the information system success model with a technology acceptance model.

Suggested Citation

  • Mi Jin Noh & Kyung Tag Lee, 2016. "An analysis of the relationship between quality and user acceptance in smartphone apps," Information Systems and e-Business Management, Springer, vol. 14(2), pages 273-291, May.
    • Handle: RePEc:spr:infsem:v:14:y:2016:i:2:d:10.1007_s10257-015-0283-6
    DOI: 10.1007/s10257-015-0283-6
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    1. Alsajjan, Bander & Dennis, Charles, 2010. "Internet banking acceptance model: Cross-market examination," Journal of Business Research, Elsevier, vol. 63(9-10), pages 957-963, September.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. 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.
    4. Sirkka L. Jarvenpaa & Thomas R. Shaw & D. Sandy Staples, 2004. "Toward Contextualized Theories of Trust: The Role of Trust in Global Virtual Teams," Information Systems Research, INFORMS, vol. 15(3), pages 250-267, September.
    5. Dickinger, Astrid & Kleijnen, Mirella, 2008. "Coupons going wireless: Determinants of consumer intentions to redeem mobile coupons," Journal of Interactive Marketing, Elsevier, vol. 22(3), pages 23-39.
    6. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    7. Mei Xue & Lorin M. Hitt & Pei-yu Chen, 2011. "Determinants and Outcomes of Internet Banking Adoption," Management Science, INFORMS, vol. 57(2), pages 291-307, February.
    8. Lee, Yong-Ki & Park, Jong-Hyun & Chung, Namho & Blakeney, Alisha, 2012. "A unified perspective on the factors influencing usage intention toward mobile financial services," Journal of Business Research, Elsevier, vol. 65(11), pages 1590-1599.
    9. Yang, Kiseol & Jolly, Laura D., 2009. "The effects of consumer perceived value and subjective norm on mobile data service adoption between American and Korean consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 16(6), pages 502-508.
    10. Ellahi, Abida & Bokhari, Rahat H., 2013. "Key quality factors affecting users' perception of social networking websites," Journal of Retailing and Consumer Services, Elsevier, vol. 20(1), pages 120-129.
    11. Elliot, Statia & Li, Guoxin & Choi, Chris, 2013. "Understanding service quality in a virtual travel community environment," Journal of Business Research, Elsevier, vol. 66(8), pages 1153-1160.
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    Cited by:

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    2. 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.
    3. Aqib Habib & Muhammad Irfan & Mohsin Shahzad, 2022. "Modeling the enablers of online consumer engagement and platform preference in online food delivery platforms during COVID-19," Future Business Journal, Springer, vol. 8(1), pages 1-18, December.
    4. Rita Yi Man Li & Beiqi Tang & Kwong Wing Chau, 2019. "Sustainable Construction Safety Knowledge Sharing: A Partial Least Square-Structural Equation Modeling and A Feedforward Neural Network Approach," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    5. Patel, Vipul & Das, Kallol & Chatterjee, Ravi & Shukla, Yupal, 2020. "Does the interface quality of mobile shopping apps affect purchase intention? An empirical study," Australasian marketing journal, Elsevier, vol. 28(4), pages 300-309.
    6. Abdullatif I. R. ALHUDAITHY, 2019. "The Impact of Supermarkets’ Mobile Application on Saudi Customer’s Behavior during the Buying Decision Process," Expert Journal of Marketing, Sprint Investify, vol. 7(1), pages 77-91.
    7. Yongyoon Suh & Yongtae Park, 2018. "Identifying and structuring service functions of mobile applications in Google’s Android Market," Information Systems and e-Business Management, Springer, vol. 16(2), pages 383-406, May.

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