Propensity for technological adoption: an analysis of effects size in the banking sector

References

• Abbesi, M., and T. Haghighy. 2011. “Internet Banking Technology Acceptance Model: A Focus on Hofstede Cultural Dimensions.” International Conference on Management Science and e-Business Engineering, May.
   Google Scholar
• Ajzen, I. 1991. “The Theory of Planned Behavior.” Organizational Behavior and Human Decision Processes 50 (2): 179–211.
   Web of Science ®Google Scholar
• Al-Somali, S. A., R. Gholami, and B. Clegg. 2009. “An Investigation into the Acceptance of Online Banking in Saudi Arabia.” Technovation 29 (2): 130–141.
   Web of Science ®Google Scholar
• Alalwan, A. A., Y. K. Dwivedi, N. P. Rana, and M. D. Williams. 2016. “Consumer Adoption of Mobile Banking in Jordan: Examining the Role of Usefulness, Ease of use, Perceived Risk and Self-efficacy.” Journal of Enterprise Information Management 29 (1): 118–139.
   Web of Science ®Google Scholar
• Alsajjan, B., and C. Dennis. 2010. “Internet Banking Acceptance Model: Cross-Market Examination.” Journal of Business Research 63 (9): 957–963.
   Web of Science ®Google Scholar
• Baabdullah, A. M., A. A. Alalwan, N. P. Rana, H. Kizgin, and P. Patil. 2019. “Consumer Use of Mobile Banking (M-Banking) in Saudi Arabia: Towards an Integrated Model.” International Journal of Information Management 44: 38–52.
   Web of Science ®Google Scholar
• Bandura, A. 1977. “Self-efficacy: Toward a Unifying Theory of Behavioral Change.” Psychological Review 84 (2): 191.
   PubMed Web of Science ®Google Scholar
• Bandura, A. 1980. “Gauging the Relationship Between Self-Efficacy Judgment and Action.” Cognitive Therapy and Research 4 (2): 263–268.
   Web of Science ®Google Scholar
• Bandura, A. 1982. “Self-efficacy Mechanism in Human Agency.” American Psychologist 37 (2): 122–147.
   Web of Science ®Google Scholar
• Baron, R. M., and D. A. Kenny. 1986. “The Moderator–Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations.” Journal of Personality and Social Psychology 51 (6): 1173–1182.
   PubMed Web of Science ®Google Scholar
• Bashir, I., and C. Madhavaiah. 2015. “Consumer Attitude and Behavioural Intention Towards Internet Banking Adoption in India.” Journal of Indian Business Research 7 (1): 67–102.
   Web of Science ®Google Scholar
• Bergh, D. D., H. Aguinis, C. Heavey, D. J. Ketchen, B. K. Boyd, P. Su, and H. Joo. 2014. “Using Meta-Analytic Structural Equation Modeling to Advance Strategic Management Research: Guidelines and an Empirical Illustration via the Strategic Leadership-Performance Relationship.” Strategic Management Journal 36 (13): 1–15.
   Google Scholar
• Bloomberg “Innovation Index” for 2017. https://planningtank.com/blog/worlds-most-innovative-economies-2017.
   Google Scholar
• Chandio, F. H., Z. Irani, A. M. Zeki, A. Shah, and S. C. Shah. 2017. “Online Banking Information Systems Acceptance: An Empirical Examination of System Characteristics and Web Security.” Information Systems Management 34 (1): 50–64.
   Web of Science ®Google Scholar
• Chang, H. H., and M. R. B. A. Hamid. 2010. “An Empirical Investigation of Internet Banking in Taiwan.” Global Journal of Business Research 4 (2): 39–47.
   Google Scholar
• Chauhan, V., R. Yadav, and V. Choudhary. 2019. “Analyzing the Impact of Consumer Innovativeness and Perceived Risk in Internet Banking Adoption: A Study of Indian Consumers.” International Journal of Bank Marketing 37 (1): 323–339.
   Web of Science ®Google Scholar
• Cheung, M. W. L. 2015. Meta-analysis: A Structural Equation Modeling Approach. Chichester: John Wiley & Sons.
   Google Scholar
• Cheung, M. W. L., and W. Chan. 2005. “Meta-analytic Structural Equation Modeling: A Two-Stage Approach.” Psychological Methods 10 (1): 40–64.
   PubMed Web of Science ®Google Scholar
• Cooper, H. 2010. Research Synthesis and Meta-analysis – A Step-by-Step Approach. 4th ed. California: Sage.
   Google Scholar
• Core ICT Indicators 2010. https://www.itu.int/dms_pub/itu-d/opb/ind/D-IND-ICT_CORE-2010-PDF-E.pdf.
   Google Scholar
• Davis, F. D. 1989. “Perceived Usefulness, Perceived Ease of use, and User Acceptance of Information Technology.” MIS Quarterly 13 (3): 319–340.
   Web of Science ®Google Scholar
• Davis, F. D. 1993. “User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts.” International Journal of Man-Machine Studies 38 (3): 475–487.
   Google Scholar
• Deng, Z., Y. Lu, S. Deng, and J. Zhang. 2010. “Exploring User Adoption of Mobile Banking: An Empirical Study in China.” International Journal of Information Technology and Management 9 (3): 289–301.
   Google Scholar
• Dickersin, K. 2002. “Systematic Reviews in Epidemiology: why are we so far Behind?” International Journal of Epidemiology 31 (1): 6–12.
   PubMed Web of Science ®Google Scholar
• Fern, E. F., and K. B. Moroe. 1996. “Effect-Size Estimates: Issues and Problems in Interpretation.” Journal of Consumer Research 23 (2): 89–105.
   Web of Science ®Google Scholar
• Fishbein, M., and I. Ajzen. 1975. “Attitude-Behaviour Relations: A Theoretical Analysis and Review of Empirical Research.” Psychological Bulletin 84 (5): 888–918.
   Web of Science ®Google Scholar
• Geyskens, I., R. Krishnan, J. B. E. Steenkamp, and P. V. Cunha. 2009. “A Review and Evaluation of Meta-Analysis Practices in Management Research.” Journal of Management 35 (2): 393–419.
   Web of Science ®Google Scholar
• GFK. 2016. https://www.gfk.com/landing-pages/landing-pages-us/the-future-of-insurance/innovations-in-insurance/.
   Google Scholar
• Giovanis, A. N., S. Binioris, and G. Polychronopoulos. 2012. “An Extension of TAM Model with IDT and Security/Privacy Risk in the Adoption of Internet Banking Services in Greece.” EuroMed Journal of Business 7 (1): 24–53.
   Google Scholar
• Gumussoy, C. A., A. Kaya, and E. Ozlu. 2018. “Determinants of Mobile Banking Use: An Extended TAM with Perceived Risk, Mobility Access, Compatibility, Perceived Self-Efficacy and Subjective Norms.” In Industrial Engineering in the Industry 4.0 Era, 225–238. Cham: Springer.
   Google Scholar
• Guriting, P., G. Chunwen, and N. N. O. Ndu. 2007. “Computer Self-Efficacy Levels, Perceptions and Adoption of Online Banking.” International Journal of Services Technology and Management 8 (1): 54–61.
   Google Scholar
• Hanafizadeh, P., M. Behboudi, A. A. Koshksaray, and M. J. S. Tabar. 2014. “Mobile-Banking Adoption by Iranian Bank Clients.” Telematics and Informatics 31 (1): 62–78.
   Web of Science ®Google Scholar
• Hauk, N., J. Hüffmeier, and S. Krumm. 2018. “Ready to be a Silver Surfer? A Meta-analysis on the Relationship Between Chronological Age and Technology Acceptance.” Computers in Human Behavior 84 (1): 304–319.
   Web of Science ®Google Scholar
• Hedges, L. V., and I. Olkin. 2002. Statistical Methods for Meta-Analysis. Orlando, FL: Academic Press. ISBN: 9780123363800.
   Google Scholar
• Hofstede, G., G. J. Hofstede, and M. Minkov. 2010. Cultures and Organizations: Software of the Mind. 3rd ed. New York: McGraw Hill.
   Google Scholar
• Horst, M., M. Kuttschreuter, and J. M. Gutteling. 2007. “Perceived Usefulness, Personal Experiences, Risk Perception and Trust as Determinants of Adoption of e-Government Services in The Netherlands.” Computers in Human Behavior 23 (4): 1838–1852.
   Web of Science ®Google Scholar
• Hunter, J. E., and F. L. Schmidt. 2004. Methods of Meta-analysis: Correcting Error and Bias in Research Findings. Sage.
   Google Scholar
• International Telecommunications Union. 2013. Measuring the Information Society. https://www.itu.int/en/ITU-D/Statistics/Documents/publications/mis2013/MIS2013_without_Annex_4.pdf.
   Google Scholar
• Kaushik, A. K., and Z. Rahman. 2015. “Innovation Adoption Across Self-service Banking Technologies in India.” International Journal of Bank Marketing 33 (2): 96–121.
   Web of Science ®Google Scholar
• Kesharwani, A., and S. Singh Bisht. 2012. “The Impact of Trust and Perceived Risk on Internet Banking Adoption in India: An Extension of Technology Acceptance Model.” International Journal of Bank Marketing 30 (4): 303–322.
   Google Scholar
• Kim, Y., and R. A. Peterson. 2017. “A Meta-analysis of Online Trust Relationships in E-Commerce.” Journal of Interactive Marketing 38: 44–54.
   Web of Science ®Google Scholar
• King, W. R., and J. He. 2006. “A Meta-analysis of the Technology Acceptance Model.” Information & Management 43 (6): 740–755.
   Web of Science ®Google Scholar
• Lapinsky, S. E., R. Wax, R. Showalter, J. C. Martinez-Motta, D. Hallett, S. Mehta, L. Burry, and T. E. Stewart. 2004. “Prospective Evaluation of an Internet-linked Handheld Computer Critical Care Knowledge Access System.” Critical Care 8 (6): 414–421.
   PubMed Web of Science ®Google Scholar
• Lee, S. C., and K. H. Im. 2015. “Banking Behavior in Security and Multi-channel Environment.” Journal of Computer Virology and Hacking Techniques 11 (3): 157–164.
   Web of Science ®Google Scholar
• Lin, F. T., H. Y. Wu, and T. N. N. Tran. 2015. “Internet Banking Adoption in a Developing Country: an Empirical Study in Vietnam.” Information Systems and e-Business Management 13 (2): 267–287.
   Web of Science ®Google Scholar
• Lipsey, M. W., and D. B. Wilson. 2001. Practical Meta-analysis (Vol. 49). Thousand Oaks, CA: Sage publications.
   Google Scholar
• Marshall, J. J., and L. A. Heslop. 1988. “Technology Acceptance in Canadian Retail Banking: A Study of Consumer Motivations and Use of ATMs.” International Journal of Bank Marketing 6 (4): 31–41.
   Google Scholar
• Mehrad, D., and S. Mohammadi. 2017. “Word of Mouth Impact on the Adoption of Mobile Banking in Iran.” Telematics and Informatics 34 (7): 1351–1363.
   Web of Science ®Google Scholar
• Mohammadi, H. 2015. “A Study of Mobile Banking Loyalty in Iran.” Computers in Human Behavior 44: 35–47.
   Web of Science ®Google Scholar
• Moher, D., A. Liberati, J. Tetzlaff, D. G. Altman, and Prisma Group. 2009. “Preferred Reporting Items for Systematic Reviews and Meta-analyses: The PRISMA Statement.” PLoS Medicine 6 (7): e1000097.
   PubMed Web of Science ®Google Scholar
• Moher, D., L. Shamseer, M. Clarke, D. Ghersi, A. Liberati, M. Petticrew, P. Shekelle, and L. A. Stewart. 2015. “Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) 2015 Statement.” Systematic Reviews 4 (1): 1–7. doi:10.1186/2046-4053-4-1.
   PubMed Web of Science ®Google Scholar
• Montazemi, A. R., and H. Qahri-Saremi. 2015. “Factors Affecting Adoption of Online Banking: A Meta-analytic Structural Equation Modeling Study.” Information & Management 52 (2): 210–226.
   Web of Science ®Google Scholar
• Mortimer, G., L. Neale, S. F. E. Hasan, and B. Dunphy. 2015. “Investigating the Factors Influencing the Adoption of m-Banking: A Cross Cultural Study.” International Journal of Bank Marketing 33 (4): 545–570.
   Web of Science ®Google Scholar
• Mouakket, S. 2009. “Investigating the Factors Influencing Customers’ Adoption of Online Banking in the United Arab Emirates.” Journal of International Technology and Information Management 18 (3): 5.
   Google Scholar
• Mutahar, A. M., N. M. Daud, R. Thurasamy, O. Isaac, and R. Abdulsalam. 2018. “The Mediating of Perceived Usefulness and Perceived Ease of Use: The Case of Mobile Banking in Yemen.” International Journal of Technology Diffusion (IJTD) 9 (2): 21–40.
   Google Scholar
• Pan, Y., and G. M. Zinkhan. 2006. “Determinants of Retail Patronage: A Meta-analytical Perspective.” Journal of Retailing 82 (3): 229–243.
   Web of Science ®Google Scholar
• Patel, H., and H. Patel. 2018. “Adoption of Internet Banking Services in Gujarat: An Extension of TAM with Perceived Security and Social Influence.” International Journal of Bank Marketing 36 (1): 147–169. doi:10.1108/IJBM-08-2016-0104.
   Web of Science ®Google Scholar
• Purnawirawan, N., M. Eisend, P. De Pelsmacker, and N. Dens. 2015. “A Meta-analytic Investigation of the Role of Valence in Online Reviews.” Journal of Interactive Marketing 31: 17–27.
   Web of Science ®Google Scholar
• Puschel, J., J. Mazzon, and J. Hernandez. 2010. “Mobile Banking: Proposition of an Integrated Adoption Intention Framework.” International Journal of Bank Marketing 28 (5): 389–409.
   Google Scholar
• Rawashdeh, A. 2015. “Factors Affecting Adoption of Internet Banking in Jordan.” International Journal of Bank Marketing 33 (4): 510–529. doi:10.1108/IJBM-03-2014-0043.
   Web of Science ®Google Scholar
• Riquelme, H. E., and R. E. Rios. 2010. “The Moderating Effect of Gender in the Adoption of Mobile Banking.” International Journal of Bank Marketing 28 (5): 328–341.
   Google Scholar
• Rodrigues, L. F., A. Oliveira, and C. J. Costa. 2016. “Does Ease-of-Use Contributes to the Perception of Enjoyment? A Case of Gamification in e-Banking.” Computers in Human Behavior 61: 114–126.
   Web of Science ®Google Scholar
• Rogers, E. M. 2004. “A Prospective and Retrospective Look at the Diffusion Model.” Journal of Health Communication 9 (S1): 13–19.
   PubMed Web of Science ®Google Scholar
• Rosario, A. B., F. Sotgiu, K. De Valck, and T. H. Bijmolt. 2016. “The Effect of Electronic Word of Mouth on Sales: A Meta-analytic Review of Platform, Product, and Metric Factors.” Journal of Marketing Research 53 (3): 297–318.
   Web of Science ®Google Scholar
• Roy, S. K., M. S. Balaji, A. Kesharwani, and H. Sekhon. 2017. “Predicting Internet Banking Adoption in India: A Perceived Risk Perspective.” Journal of Strategic Marketing 25 (5-6): 418–438.
   Web of Science ®Google Scholar
• Rust, R. T., and B. Cooil. 1994. “Reliability Measures for Qualitative Data: Theory and Implications.” Journal of Marketing Research 31 (1): 1–14.
   Web of Science ®Google Scholar
• Schierz, P., O. Schilke, and B. Wirtz. 2010. “Understanding Customer Acceptance of Mobile Payment Services: An Empirical Analysis.” Journal of Electronic Commerce Research and Application 9: 209–216.
   Web of Science ®Google Scholar
• Schmidt, F. L. 1996. “Statistical Significance Testing and Cumulative Knowledge in Psychology: Implications for Training of Researchers.” Psychological Methods 1 (2): 115.
   Web of Science ®Google Scholar
• Singh, S., and R. K. Srivastava. 2018. “ Predicting the Intention to Use Mobile Banking in India.” International Journal of Bank Marketing, (just-accepted), 00-00.
   Google Scholar
• Teo, Thompson S.H., and Jing Liu. 2007. “Consumer Trust in E-Commerce in the United States, Singapore and China.” Omega 35 (1): 22–38.
   Web of Science ®Google Scholar
• The Finacial Brand. 2018. “ Top 10 Retail Banking Trends and Predictions for 2018.” https://thefinancialbrand.com/69180/2018-top-banking-trends-predictions-outlook-digital-fintech-data-ai-cx-payments-tech/all/.
   Google Scholar
• Venkatesh, V., and H. Bala. 2008. “Technology Acceptance Model 3 and a Research Agenda on Interventions.” Decision Sciences 39 (2): 273–315.
   Web of Science ®Google Scholar
• Venkatesh, V., S. A. Brown, L. M. Maruping, and H. Bala. 2008. “Predicting Different Conceptualizations of System Use: The Competing Roles of Behavioral Intention, Facilitating Conditions, and Behavioral Expectation.” MIS Quarterly 39 (2): 483–502.
   Google Scholar
• Venkatesh, V., and F. D. Davis. 2000. “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies.” Management Science 46 (2): 186–204.
   Web of Science ®Google Scholar
• Wang, Y. S., Y. M. Wang, H. H. Lin, and T. I. Tang. 2003. “Determinants of User Acceptance of Internet Banking: An Empirical Study.” International Journal of Service Industry Management 14 (5): 501–519.
   Google Scholar
• Yadav, R., V. Chauhan, and G. S. Pathak. 2015. “Intention to Adopt Internet Banking in an Emerging Economy: A Perspective of Indian Youth.” International Journal of Bank Marketing 33 (4): 530–544.
   Web of Science ®Google Scholar
• Yamagishi, T., and M. Yamagishi. 1994. “Trust and Commitment in the United States and Japan.” Motivation and Emotion 18 (2): 129–166.
   Web of Science ®Google Scholar
• Yang, H., and Y. Yoo. 2004. “It’s All About Attitude: Revisiting the Technology Acceptance Model.” Decision Support System 38 (1): 19–31.
   Web of Science ®Google Scholar
• Yiu, C., K. Grant, and D. Edgar. 2007. “Factors Affecting the Adoption of Internet Banking in Hong Kong – Implications for the Banking Sector.” International Journal of Information Management 27: 336–351.
   Web of Science ®Google Scholar
• Yousafzai, S. Y., G. R. Foxall, and J. G. Pallister. 2007a. “Technology Acceptance: A Meta-analysis of the TAM: Part 1.” Journal of Modelling in Management 2 (3): 251–280.
   Google Scholar
• Yousafzai, S. Y., G. R. Foxall, and J. G. Pallister. 2007b. “Technology Acceptance: a Meta-Analysis of the TAM: Part 2.” Journal of Modelling in Management 2 (3): 281–304.
   Google Scholar
• Zarantonello, L., K. Jedidi, and B. H. Schmitt. 2013. “Functional and Experiential Routes to Persuasion: An Analysis of Advertising in Emerging Versus Developed Markets.” International Journal of Research in Marketing 30 (1): 46–56.
   Web of Science ®Google Scholar