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A meta-analysis of the UTAUT model in the mobile banking literature: The moderating role of sample size and culture

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  • Jadil, Yassine
  • Rana, Nripendra P.
  • Dwivedi, Yogesh K.

Abstract

In the last few years, several studies have examined the predictors of mobile banking (m-banking) adoption using the unified theory of acceptance and use of technology (UTAUT). However, contradictory results in some of the UTAUT relationships were found in the existing literature. Therefore, we aim to clarify and synthesize the empirical findings from the m-banking studies published since 2004 by conducting weight and meta-analysis with a focus on the UTAUT theory. We also seek to identify the roles of moderating variables on each UTAUT path. A total of 364 path coefficients from 127 studies were relevant for data analysis. CMA software V3 was employed to combine the effect sizes. All UTAUT relationships were found to be significant. Performance expectancy emerged as the strongest antecedent of usage intention. We also find that usage intention is the most critical predictor of use behavior. It was also revealed that sample size and culture significantly moderated the linkages between facilitating conditions and usage intention, effort expectancy and usage intention, and usage intention and use behavior. Theoretical contributions and managerial implications are also discussed toward the end.

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  • Jadil, Yassine & Rana, Nripendra P. & Dwivedi, Yogesh K., 2021. "A meta-analysis of the UTAUT model in the mobile banking literature: The moderating role of sample size and culture," Journal of Business Research, Elsevier, vol. 132(C), pages 354-372.
    • Handle: RePEc:eee:jbrese:v:132:y:2021:i:c:p:354-372
    DOI: 10.1016/j.jbusres.2021.04.052
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    1. Maja Iskandar & Hartoyo Hartoyo & Irman Hermadi, 2020. "Analysis of Factors Affecting Behavioral Intention and Use of Behavioral of Mobile Banking Using Unified Theory of Acceptance and Use of Technology 2 Model Approach," International Review of Management and Marketing, Econjournals, vol. 10(2), pages 41-49.
    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. Sindhu Singh & R. K. Srivastava, 2014. "Factors Influencing the Adoption of Mobile Banking in India," International Journal of E-Services and Mobile Applications (IJESMA), IGI Global, vol. 6(4), pages 1-15, October.
    4. Shankar, Amit & Rishi, Bikramjit, 2020. "Convenience matter in mobile banking adoption intention?," Australasian marketing journal, Elsevier, vol. 28(4), pages 273-285.
    5. Tamer Abbas Awad & Yasmine Salah AlDin Dessouki, 2017. "Mobile Banking Roll-out in Egypt: Antecedences of Mobile Banking Adoption," International Journal of E-Services and Mobile Applications (IJESMA), IGI Global, vol. 9(2), pages 1-22, April.
    6. Sindhu Singh & R. K. Srivastava, 2020. "Understanding the intention to use mobile banking by existing online banking customers: an empirical study," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 25(3), pages 86-96, December.
    7. Choudrie, Jyoti & Junior, Chike-Obuekwe & McKenna, Brad & Richter, Shahper, 2018. "Understanding and conceptualising the adoption, use and diffusion of mobile banking in older adults: A research agenda and conceptual framework," Journal of Business Research, Elsevier, vol. 88(C), pages 449-465.
    8. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    9. Nripendra P. Rana & Yogesh K. Dwivedi & Michael D. Williams, 2015. "A meta-analysis of existing research on citizen adoption of e-government," Information Systems Frontiers, Springer, vol. 17(3), pages 547-563, June.
    10. Elvira Ismagilova & Emma L. Slade & Nripendra P. Rana & Yogesh K. Dwivedi, 0. "The Effect of Electronic Word of Mouth Communications on Intention to Buy: A Meta-Analysis," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    11. S. V. Krishna Kishore & Aloysius Henry Sequeira, 2016. "An Empirical Investigation on Mobile Banking Service Adoption in Rural Karnataka," SAGE Open, , vol. 6(1), pages 21582440166, March.
    12. Aijaz A. Shaikh & Richard Glavee-Geo & Heikki Karjaluoto, 2018. "How Relevant Are Risk Perceptions, Effort, and Performance Expectancy in Mobile Banking Adoption?," International Journal of E-Business Research (IJEBR), IGI Global, vol. 14(2), pages 39-60, April.
    13. Md Shamimul Islam & Noorliza Karia & Muhammad Khaleel & Firdaus Bin Ahmad Fauzi & Mohamed Soliman Mohamed Soliman & Jamshed Khalid & Md. Yeasir Arafat Bhuiyan & Md. Abdullah Al Mamun, 2019. "Intention to adopt mobile banking in Bangladesh: an empirical study of emerging economy," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 31(1), pages 136-151.
    14. Chian-Son Yu, 2015. "Using E-Lifestyle to Analyze Mobile Banking Adopters and Non-Adopters," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 18(3), pages 188-213, July.
    15. Muragesh Pattansheti & Sachin S. Kamble & Sudheer M. Dhume & Rakesh D. Raut, 2016. "Development, measurement and validation of an integrated technology readiness acceptance and planned behaviour model for Indian mobile banking industry," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 22(3), pages 316-342.
    16. Sindhu Singh & R. K. Srivastava, 0. "Understanding the intention to use mobile banking by existing online banking customers: an empirical study," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 0, pages 1-11.
    17. Nabila Nisha, 2016. "Exploring the Dimensions of Mobile Banking Service Quality: Implications for the Banking Sector," International Journal of Business Analytics (IJBAN), IGI Global, vol. 3(3), pages 60-76, July.
    18. 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).
    19. T. G. Saji & Deepa Paul, 2018. "Behavioural Intention to the Use of Mobile Banking in Kerala: An Application of Extended Classical Technology Acceptance Model," Metamorphosis: A Journal of Management Research, , vol. 17(2), pages 111-119, December.
    20. N. Thamarai Selvan & B. Senthil Arasu & M. Sivagnanasundaram, 2011. "Behavioral Intention Towards Mobile Banking in India: The Case of State Bank of India (SBI)," International Journal of E-Services and Mobile Applications (IJESMA), IGI Global, vol. 3(4), pages 37-56, October.
    21. H. Kalaiarasi & P. Lakshmi & A. Stephan, 2017. "Adoption of self service banking channels - the case of mobile banking in India," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 26(1), pages 1-14.
    22. Kuttimani Tamilmani & Nripendra P. Rana & Yogesh K. Dwivedi, 0. "Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2," Information Systems Frontiers, Springer, vol. 0, pages 1-19.
    23. Kuttimani Tamilmani & Nripendra P. Rana & Yogesh K. Dwivedi, 2021. "Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2," Information Systems Frontiers, Springer, vol. 23(4), pages 987-1005, August.
    24. G. Kumar & V.M. Shenbagaraman, 2017. "The customers' perception of mobile banking adoption in Chennai City. An empirical assessment of an extended technology acceptance model," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 26(1), pages 46-65.
    25. V.V. Ravi Kumar & Anurag Lall & Tanmay Mane, 2017. "Extending the TAM Model: Intention of Management Students to Use Mobile Banking: Evidence from India," Global Business Review, International Management Institute, vol. 18(1), pages 238-249, February.
    26. Mousa Albashrawi & Hasan Kartal & Asil Oztekin & Luvai Motiwalla, 2019. "Self-Reported and Computer-Recorded Experience in Mobile Banking: a Multi-Phase Path Analytic Approach," Information Systems Frontiers, Springer, vol. 21(4), pages 773-790, August.
    27. Amina Abdinoor & Ulingeta O.L. Mbamba, 2017. "Factors influencing consumers’ adoption of mobile financial services in Tanzania," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1392273-139, January.
    28. 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.
    29. Ismagilova, Elvira & Slade, Emma & Rana, Nripendra P. & Dwivedi, Yogesh K., 2020. "The effect of characteristics of source credibility on consumer behaviour: A meta-analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    30. Xiaochao Wei & Bin Hu & Kathleen Carley, 2013. "Combination of Empirical Study with Qualitative Simulation for Optimization Problem in Mobile Banking Adoption," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(3), pages 1-10.
    31. 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.
    32. 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.
    33. 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.
    34. Nardi, Vinicius Antonio Machado & Jardim, William Carvalho & Ladeira, Wagner Júnior & Santini, Fernando, 2020. "A meta-analysis of the relationship between customer participation and brand outcomes," Journal of Business Research, Elsevier, vol. 117(C), pages 450-460.
    35. 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.
    36. Raju Pavithran & G. Varaprasad & R. Sridharan & Anandakuttan B. Unnithan, 2014. "An Empirical Investigation of Mobile Banking Adoption in Developing Countries," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 10(1), pages 76-93, January.
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