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Predicting Mobile Banking Acceptance and Loyalty in Chinese Bank Customers

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  • Abdul Waheed Siyal
  • Ding Donghong
  • Waheed Ali Umrani
  • Saeed Siyal
  • Shaharbano Bhand

Abstract

Mobile banking (m banking) is the breakthrough technology in banking sector which has significantly improved efficiency of banks and people’s quality of life. Banks seem particularly interested in such systems that provide their customers with better services. However, acceptance of and loyalty to m banking depends on how effectively banks motivate their customers to adopt the technology and retain their continued use. The adoption rate in China is very low and quite a few studies have focused on issues related to m banking. The purpose of this study is to examine factors that affect m banking adoption and usage intentions of Chinese bank customers. The proposed model has extended the technology acceptance model (TAM). Data were collected through a field survey questionnaire and analyzed through partial least square structural equation modeling (PLS-SEM). The results showed that acceptance of and loyalty to m banking among Chinese bank customers was significantly and positively affected by resistance to change, perceived risk and low awareness of services, and perceived benefits. The results will be useful to retain existing users and attract new ones. This study is unlike past studies that merely studied short messaging service (SMS) banking and initial adoption or technological aspects of m banking. This study also provides Chinese banks with applicable strategies to effectively design and implement m banking; thus, it is expected to potentially contribute to prevailing literature, especially in the context of China, where few studies that address m banking acceptance and loyalty exist currently.

Suggested Citation

  • Abdul Waheed Siyal & Ding Donghong & Waheed Ali Umrani & Saeed Siyal & Shaharbano Bhand, 2019. "Predicting Mobile Banking Acceptance and Loyalty in Chinese Bank Customers," SAGE Open, , vol. 9(2), pages 21582440198, April.
    • Handle: RePEc:sae:sagope:v:9:y:2019:i:2:p:2158244019844084
    DOI: 10.1177/2158244019844084
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    as
    1. Wold, Herman, 1974. "Causal flows with latent variables : Partings of the ways in the light of NIPALS modelling," European Economic Review, Elsevier, vol. 5(1), pages 67-86, June.
    2. Kumar, Bipul, 2012. "Theory of Planned Behaviour Approach to Understand the Purchasing Behaviour for Environmentally Sustainable Products," IIMA Working Papers WP2012-12-08, Indian Institute of Management Ahmedabad, Research and Publication Department.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Kleijnen, Mirella & Lee, Nick & Wetzels, Martin, 2009. "An exploration of consumer resistance to innovation and its antecedents," Journal of Economic Psychology, Elsevier, vol. 30(3), pages 344-357, June.
    5. Abdul Kabeer Kazi & Muhammad Adeel Mannan, 2013. "Factors affecting adoption of mobile banking in Pakistan: Empirical Evidence," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 2(3), pages 54-61, July.
    6. Agarwal, Reeti & Rastogi, Sanjay & Mehrotra, Ankit, 2009. "Customers’ perspectives regarding e-banking in an emerging economy," Journal of Retailing and Consumer Services, Elsevier, vol. 16(5), pages 340-351.
    7. Marko Sarstedt & Christian M Ringle & Jun-Hwa Cheah & Hiram Ting & Ovidiu I Moisescu & Lacramioara Radomir, 2020. "Structural model robustness checks in PLS-SEM," Tourism Economics, , vol. 26(4), pages 531-554, June.
    8. Ferreira, Jorge Brantes & da Rocha, Angela & da Silva, Jorge Ferreira, 2014. "Impacts of technology readiness on emotions and cognition in Brazil," Journal of Business Research, Elsevier, vol. 67(5), pages 865-873.
    9. MacKenzie, Scott B. & Podsakoff, Philip M., 2012. "Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies," Journal of Retailing, Elsevier, vol. 88(4), pages 542-555.
    10. R. Bock & Rolf Bargmann, 1966. "Analysis of covariance structures," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 507-534, December.
    11. 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.
    12. Said Al-Gahtani, 2001. "The Applicability of TAM Outside North America: An Empirical Test in the United Kingdom," Information Resources Management Journal (IRMJ), IGI Global, vol. 14(3), pages 37-46, July.
    13. Merchant, Kenneth A. & Van der Stede, Wim A. & Zheng, Liu, 2003. "Disciplinary constraints on the advancement of knowledge: the case of organizational incentive systems," Accounting, Organizations and Society, Elsevier, vol. 28(2-3), pages 251-286.
    14. Gupta, Anil & Arora, Neelika, 2017. "Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 1-7.
    15. Carolyn Stringer & Jeni Didham & Paul Theivananthampillai, 2011. "Motivation, pay satisfaction, and job satisfaction of front‐line employees," Qualitative Research in Accounting & Management, Emerald Group Publishing Limited, vol. 8(2), pages 161-179, June.
    16. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    17. Chen, Yi-Mu & Hsu, Tsuen-Ho & Lu, Yu-Jou, 2018. "Impact of flow on mobile shopping intention," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 281-287.
    18. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    19. Laukkanen, Tommi, 2016. "Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking," Journal of Business Research, Elsevier, vol. 69(7), pages 2432-2439.
    20. Reinartz, Werner & Haenlein, Michael & Henseler, Jörg, 2009. "An empirical comparison of the efficacy of covariance-based and variance-based SEM," International Journal of Research in Marketing, Elsevier, vol. 26(4), pages 332-344.
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    6. Abdul Zahid Khan & Hafiz Ghufran Ali Khan & Muhammad Jam e Kausar Ali Asghar, 2019. "Issues of E-Banking in Pakistan: Managers9apos9 Perceptions about E-Banking Issues," Global Regional Review, Humanity Only, vol. 4(2), pages 93-105, June.
    7. 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.
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    9. 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.
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    12. Aleksandar Šević & Jelena Zečar & Ana Nešić Tomašević & Nevenka Popović Šević & Milica Slijepčević & Branislav Dudić, 2022. "Analyzing the Banking Business: Relevance of Service Value for the Satisfaction and Loyalty of Consumers," Mathematics, MDPI, vol. 10(24), pages 1-12, December.
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