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Do the Preceding Self-service Technologies Influence Mobile Banking Adoption?

Author

Listed:
  • Wajeeha Aslam
  • Iviane Ramos de Luna
  • Muhammad Asim
  • Kashif Farhat

Abstract

The study aims to identify the role of preceding self-service technologies (SSTs) in the adoption of mobile banking (m-banking). More specifically, the study examines the impact of attitude (AT), perceived usefulness (PU) and perceived ease of use (PEOU) of online banking (o-banking) and ATM in the adoption of m-banking. By using the non-probability purposive sampling technique, the data was gathered through a structured questionnaire from the non-users of m-banking. The partial least square-structural equation modeling (PLS-SEM) technique was employed on 257 useful responses to assess the hypotheses. The findings provided evidence that the AT towards ATMs and o-banking significantly affects the AT towards m-banking (ATMB). Moreover, the PEOU of ATM and o-banking significantly affects the PEOU of m-banking. However, in the case of PU, only the usefulness of o-banking affects the usefulness of m-banking. The results also reveal that the AT, PEOU and PU of m-banking affect the intention to adopt m-banking (IMB). The study benefits the banking industry as it provides insights on how banks can use their preceding SSTs in developing a consumer’s intention to use m-banking. This is one of the early studies that considers the effect of PEOU and PU of previous SSTs on the adoption of m-banking. The multi-channel perspective, that is, ATMs and o-banking in the adoption of m-banking, also offers additional valuable insights and contributes to the literature of technology adoption. In the past, studies have not focused on the spillover effects of preceding SSTs. However, mature channels could be used in boosting a new channel.

Suggested Citation

  • Wajeeha Aslam & Iviane Ramos de Luna & Muhammad Asim & Kashif Farhat, 2023. "Do the Preceding Self-service Technologies Influence Mobile Banking Adoption?," IIM Kozhikode Society & Management Review, , vol. 12(1), pages 50-66, January.
    • Handle: RePEc:sae:iimkoz:v:12:y:2023:i:1:p:50-66
    DOI: 10.1177/22779752211073552
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    References listed on IDEAS

    as
    1. Woosnam, Kyle M. & Draper, Jason & Jiang, Jingxian (Kelly) & Aleshinloye, Kayode D. & Erul, Emrullah, 2018. "Applying self-perception theory to explain residents' attitudes about tourism development through travel histories," Tourism Management, Elsevier, vol. 64(C), pages 357-368.
    2. Merhi, Mohamed & Hone, Kate & Tarhini, Ali, 2019. "A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust," Technology in Society, Elsevier, vol. 59(C).
    3. repec:eme:mrn000:01409170610645402 is not listed on IDEAS
    4. 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.
    5. Wajeeha Aslam & Ayesha Tariq & Imtiaz Arif, 2019. "The Effect of ATM Service Quality on Customer Satisfaction and Customer Loyalty: An Empirical Analysis," Global Business Review, International Management Institute, vol. 20(5), pages 1155-1178, October.
    6. 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.
    7. Arif, Imtiaz & Aslam, Wajeeha & Hwang, Yujong, 2020. "Barriers in adoption of internet banking: A structural equation modeling - Neural network approach," Technology in Society, Elsevier, vol. 61(C).
    8. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    9. Alireza Pooya & Mehran Abed Khorasani & Simin Gholamian Ghouzhdi, 2020. "Investigating the effect of perceived quality of self-service banking on customer satisfaction," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, vol. 13(2), pages 263-280, January.
    10. Katherine J. Stewart, 2003. "Trust Transfer on the World Wide Web," Organization Science, INFORMS, vol. 14(1), pages 5-17, February.
    11. Ho, Jonathan C. & Wu, Chorng-Guang & Lee, Chung-Shing & Pham, Thanh-Thao T., 2020. "Factors affecting the behavioral intention to adopt mobile banking: An international comparison," Technology in Society, Elsevier, vol. 63(C).
    12. Meuter, Matthew L. & Ostrom, Amy L. & Bitner, Mary Jo & Roundtree, Robert, 2003. "The influence of technology anxiety on consumer use and experiences with self-service technologies," Journal of Business Research, Elsevier, vol. 56(11), pages 899-906, November.
    13. Muk, Alexander & Chung, Christina, 2015. "Applying the technology acceptance model in a two-country study of SMS advertising," Journal of Business Research, Elsevier, vol. 68(1), pages 1-6.
    14. 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.
    15. Alalwan, Ali Abdallah & Dwivedi, Yogesh K. & Rana, Nripendra P., 2017. "Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust," International Journal of Information Management, Elsevier, vol. 37(3), pages 99-110.
    16. Malaquias, Rodrigo Fernandes & Silva, Altieres Frances, 2020. "Understanding the use of mobile banking in rural areas of Brazil," Technology in Society, Elsevier, vol. 62(C).
    17. Wajeeha Aslam & Marija Ham & Imtiaz Arif, 2017. "Consumer Behavioral Intentions towards Mobile Payment Services: An Empirical Analysis in Pakistan," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 29(2), pages 161-176.
    18. Lin, Hsiu-Fen, 2011. "An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust," International Journal of Information Management, Elsevier, vol. 31(3), pages 252-260.
    19. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    20. James Agyei & Shaorong Sun & Eugene Abrokwah & Emmanuel Kofi Penney & Richmond Ofori-Boafo, 2020. "Mobile Banking Adoption: Examining the Role of Personality Traits," SAGE Open, , vol. 10(2), pages 21582440209, June.
    21. Mohammad Hamdi Al Khasawneh & Rand Irshaidat, 2017. "Empirical validation of the decomposed theory of planned behaviour model within the mobile banking adoption context," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 8(1), pages 58-76.
    22. Sujeet Kumar Sharma, 2019. "Integrating cognitive antecedents into TAM to explain mobile banking behavioral intention: A SEM-neural network modeling," Information Systems Frontiers, Springer, vol. 21(4), pages 815-827, August.
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