Examining factors influencing Indian customers’ intentions and adoption of internet banking: Extending TAM with electronic service quality
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DOIhttp://dx.doi.org/10.21511/im.15(2).2019.04
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Article InfoVolume 15 2019, Issue #2, pp. 42-57
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This study conceptualizes and tests an integrative research model based on extended technology acceptance model (TAM) by integrating electronic service quality to strengthen the customer behavioral intention mediated through brand attitude in the context of e-banking in India. This study applies the cognitive, affective, and conative sequence to measure the antecedents and results of electronic service quality. The study has gathered a total of 455 usable responses by self-administered questionnaire through convenience sampling from young employed graduates aged between 16 and 29 years. Structural equation modelling techniques have been applied to the data and the results have provided that dimensions of electronic service quality model (customer service, web design, assurance, preferential treatment, information provision) relate to the electronic service quality. Electronic service quality and perceived usefulness significantly build customer attitude and intention to use internet banking services. However, against the TAM postulation, perceived ease of use does not influence customer’s intention to adopt internet banking service.
- Keywords
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JEL Classification (Paper profile tab)M310, O330
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References70
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Tables4
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Figures3
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- Figure 1. The technology acceptance model
- Figure 2. Proposed research model
- Figure 3. Results of structural model testing
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- Table 1. Profile of respondents
- Table 2. Confirmatory factor analysis statistics
- Table 3. Assessment of discriminant validity
- Table 4. Results of hypotheses testing
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- Aboelmaged, M., & Gebba, T. R. (2013). Mobile banking adoption: an examination of technology acceptance model and theory of planned behavior. International Journal of Business Research and Development, 2(1).
- Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS quarterly, 24(4), 665-694.
- Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control (pp. 11-39). Springer, Berlin, Heidelberg.
- Ajzen, I. (2002). Constructing a TPB questionnaire: Conceptual and methodological considerations.
- Ajzen, I., & Fishbein, M. (1975). Belief, attitude, intention and behavior: An introduction to theory and research.
- Alsajjan, B., & Dennis, C. (2010). Internet banking acceptance model: Cross-market examination. Journal of Business Research, 63(9), 957-963.
- Al-Somali, S. A., Gholami, R., & Clegg, B. (2008, September). Internet banking acceptance in the context of developing countries: An extension of the Technology Acceptance Model. Paper presented at European Conference on Management of Technology.
- Amin, M. (2016). Internet banking service quality and its implication on e-customer satisfaction and e-customer loyalty. International Journal of Bank Marketing, 34(3), 280-306.
- Ariff, M. S. M., Yun, L. O., Zakuan, N., & Jusoh, A. (2012). Examining dimensions of electronic service quality for internet banking services. Procedia-Social and Behavioral Sciences, 65, 854-859.
- Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. Journal of social and clinical psychology, 4(3), 359-373.
- Bashir, I., & Madhavaiah, C. (2014). Determinants of young consumers’ intention to use Internet banking services in India. Vision, 18(3), 153-163.
- Bashir, I., & Madhavaiah, C. (2015). Consumer attitude and behavioural intention towards Internet banking adoption in India. Journal of Indian Business Research, 7(1), 67-102.
- Bauer, H. H., Hammerschmidt, M., & Falk, T. (2005). Measuring the quality of e-banking portals. International journal of bank marketing, 23(2), 153-175.
- Bitner, M. J., & Hubbert, A. R. (1994). Encounter satisfaction versus overall satisfaction versus quality. Service quality: New directions in theory and practice, 34(2), 72-94.
- Boakye, K. G., McGinnis, T., & Prybutok, V. R. (2014). Q-TAM: a quality technology acceptance model for technology operations managers. Operations Management Research, 7(1-2), 13-23.
- Bruner, G. C., & Kumar, A. (2005). Explaining consumer acceptance of handheld Internet devices. Journal of business research, 58(5), 553-558.
- Chandio, F. H. (2011). Studying acceptance of online banking information system: A structural equation model (Doctoral dissertation, Brunel University Brunel Business School Ph.D. Theses).
- Clonia, R., & Asht, M. (2016). E-banking in India: Current and future prospects. IJABER, 14(7), 5369-5381.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13(3), 319-340.
- Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of applied social psychology, 22(14), 1111-1132.
- De Ruyter, K., Wetzels, M., & Kleijnen, M. (2001). Customer adoption of e-service: an experimental study. International journal of service industry management, 12(2), 184-207.
- Eriksson, K., Kerem, K., & Nilsson, D. (2005). Customer acceptance of internet banking in Estonia. International journal of bank marketing, 23(2), 200-216.
- Eze, U. C., Goh, M. H., Ling, H. Y., & Lee, C. H. (2011, November). Intention to use e-government services in Malaysia: Perspective of individual users. In International Conference on Informatics Engineering and Information Science (pp. 512-526). Berlin: Heidelberg.
- Firdous, S., & Farooqi, R. (2017). Impact of internet banking service quality on customer satisfaction. The Journal of Internet Banking and Commerce, 22(1), 1-17.
- Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 18(3), 382-388.
- George, A., & Kumar, G. G. (2014). Impact of service quality dimensions in internet banking on customer satisfaction. Decision, 41(1), 73-85.
- Gupta, K. K., & Bansal, I. (2012). Development of an instrument to measure internet banking service quality in India. Researchers World, 3(2 Part 2), 11-25.
- Hammoud, J., Bizri, R. M., & El Baba, I. (2018). The Impact of E-Banking Service Quality on Customer Satisfaction: Evidence from the Lebanese Banking Sector. SAGE Open, 8(3).
- Hien, N. M. (2014). A study on evaluation of e-government service quality. International Journal of Social, Management, Economics and Business Engineering, 8(1), 16-19.
- Ho, C. T. B., & Lin, W. C. (2010). Measuring the service quality of internet banking: scale development and validation. European Business Review, 22(1), 5-24.
- Hosein, N. Z. (2009). Internet Banking: An Empirical Study of Adoption Rates among Midwest Community Banks. Journal of Business Economics & Research, 7(11), 51-72.
- Jayawardhena, C., & Foley, P. (2000). Changes in the banking sector – the case of Internet banking in the UK. Internet Research, 10(1), 19-31.
- Jung, N. Y., & Seock, Y. K. (2016). The impact of corporate reputation on brand attitude and purchase intention. Fashion and Textiles, 3(1), 20.
- Kadir, H. A., Rahmani, N., & Masinaei, R. (2011). Impacts of service quality on customer satisfaction: Study of Online banking and ATM services in Malaysia. International Journal of Trade, Economics and Finance, 2(1), 1.
- Karjaluoto, H., Mattila, M., & Pento, T. (2002). Factors underlying attitude formation towards online banking in Finland. International journal of bank marketing, 20(6), 261-272.
- Katz, J., & Aspden, P. (1997). Motivations for and barriers to internet usage: results of a national public opinion survey. Internet Research: Electronic Networking Application and Policy, 7(3), 170-188.
- Khan, M. S., & Mahapatra, S. S. (2009). Service quality evaluation in internet banking: an empirical study in India. International Journal of Indian Culture and Business Management, 2(1).
- Khanifar, H., Nia, M., Javad, M., Molavi, Z., & Emami, M. (2012). Factors influencing the intendancy of e-banking: An integration of TAM & TPB with e-service quality. Journal of Applied Sciences Research, 8(3), 1842-1852.
- Laforet, S., & Li, X. (2005). Consumers’ attitudes towards online and mobile banking in China. International journal of bank marketing, 23(5), 362-380.
- Lai, P. C. (2017). The literature review of technology adoption models and theories for the novelty technology. JISTEM-Journal of Information Systems and Technology Management, 14(1), 21-38.
- Lai, V. S., & Li, H. (2005). Technology acceptance model for internet banking: an invariance analysis. Information & management, 42(2), 373-386.
- Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic commerce research and applications, 8(3), 130-141.
- Liao, Z., & Cheung, M. T. (2002). Internet-based e-banking and consumer attitudes: an empirical study. Information & Management, 39(4), 283-295.
- Maduku, D. K. (2013). Predicting retail banking customers’ attitude towards Internet banking services in South Africa. Southern African Business Review, 17(3), 76-100.
- Mohd-Any, A. A., Mahdzan, N. S., & Valinejad, H. (2016). Young adults’ perceptions of online service quality. International Journal of Electronic Marketing and Retailing, 7(2), 91-114.
- Mundra, S. S. (2015). Financing India’s growth-challenges and way ahead.
- NezamZade, Farzin (2009). The study of factors influencing the electronic environment of banking service delivery and its influence on customer behavior (Case study: branches of SepahBankin Tehran) (Master Thesis of Administration Management, Faculty of Management, Qom Campus, University of Tehran).
- Nupur, J. M. (2010). E-banking and customers’ satisfaction in Bangladesh: An analysis. International review of business research papers, 6(4), 145-156.
- Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. The Journal of Marketing, 41-50.
- Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). Servqual: A multiple-item scale for measuring consumer perc. Journal of retailing, 64(1), 12.
- Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL: A multiple-item scale for assessing electronic service quality. Journal of service research, 7(3), 213-233.
- Ranganathan, C., & Ganapathy, S. (2002). Key dimensions of business-to-consumer web sites. Information & Management, 39(6), 457-465.
- Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: Free Press.
- Safeena, R., Date, H., Hundewale, N., & Kammani, A. (2013). Combination of TAM and TPB in Internet banking adoption. International Journal of Computer Theory and Engineering, 5(1), 146.
- Sebetci, Ö. (2015). A TAM-based model for e-government: a case for Turkey. International Journal of Electronic Governance, 7(2), 113-135.
- Shen, C. C., & Chiou, J. S. (2009). The effect of community identification on attitude and intention toward a blogging community. Internet Research, 19(4), 393-407.
- Shima, N., & Mohamadali, A. K. (2017). Examining the factors affecting willingness to use electronic banking: the integration of TAM and TPB models with electronic service quality (case study: EghtesadNovin Bank). Journal of Fundamental and Applied Sciences, 9(1S), 824-841.
- Shin, D. H. (2009). Determinants of customer acceptance of multi-service network: An implication for IP-based technologies. Information & Management, 46(1), 16-22.
- Singh, S. (2019). Measuring E-Service Quality and Customer Satisfaction with Internet Banking in India. Theoretical Economics Letters, 9(2), 308-326.
- Sohail, M. S., & Shaikh, N. (2008). Internet banking and quality of service Perspectives from a developing nation in the Middle East. Online Information Review, 32(1), 58-72.
- Suh, B., & Han, I. (2002). Effect of trust on customer acceptance of Internet banking. Electronic Commerce Research and Applications, 1(3&4), 247-263.
- Sum Chau, V., & Ngai, L. W. (2010). The youth market for internet banking services: perceptions, attitude and behaviour. Journal of Services Marketing, 24(1), 42-60.
- Taherdoost, H. (2018). Development of an adoption model to assess user acceptance of e-service technology: E-Service Technology Acceptance Model. Behaviour & Information Technology, 37(2), 173-197.
- Tardivo, G., Viassone, M., & Gola, G. L. (2014). Young Customers’ Perception of the Quality of M-banking Services. Universal Journal of Industrial and Business Management, 2(8), 200-209.
- Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176.
- Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
- Yoo, B., & Donthu, N. (2001). Developing and validating a multidimensional consumer-based brand equity scale. Journal of business research, 52(1), 1-14.
- You, C. S, Grant, K., & Adgar, D. (2007). Factors affecting the adoption of Internet Banking in Hong kong-implication for the banking sector. International Journal of Information management, 27(5), 336-351.
- Yousafzai, F., & Pallister (2007). Technology acceptance: a Meta analysis of the TAM. Journal of Modeling in Management, 2(3), 251-280.