The Influence of Dispositional Resistance to Change on Seniors’ Mobile Banking Adoption in Malaysia

Sara Andalib, Noor Hazarina Hashim

Abstract


Mobile banking has become an important mean for banking activities but its adoption is sluggish among some market segments such as senior market. However senior market is gaining importance in online marketing field but studies on seniors’ adoption of mobile banking is rare. This study aims to investigate the effect of personality trait “dispositional resistance to change” on mobile banking adoption among individuals above 50 years old. The data was collected using survey method in Kuala Lumpur from seniors who were non-users of m-banking. 384 usable responses were obtained. PLE-SEM was applied to analyze the data. The result revealed dispositional resistance to change has significant negative effect on seniors’ intention to adopt m-banking. The study also provides the implications for research and practice and limitations and recommendations for future research are discussed.


Keywords


Seniors, Mobile banking, Dispositional resistance to change, Malaysia

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Abstract

References


Afshan, S. and Sharif, A. (2016). Acceptance of mobile banking framework in Pakistan. Telematics and Informatics. 33(2), pp. 370-387.

Alalwan, A. A., Dwivedi, Y. K. and Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management. 37(3), pp. 99-110.

Albert, M. S. and Heaton, R. K. (1988). Intelligence testing. In: Albert,M.S.,Moss,M.B. (Eds.), Geriatric Neuropsychology. Guilford Press, New York, pp. 13–32.

Amma, K. S. and Panicker, S. M. (2013). Senıor Cıtızens’ Acceptance of Informatıon Communıcatıon Technology: A Study of E-Bankıng in Indıa. Journal of Information Technology and Economic Development. 4(1), pp. 1-8.

Ang, M. C., Ramayah, T. and Amin, H. (2015). A theory of planned behavior perspective on hiring Malaysians with disabilities. Equality, Diversity and Inclusion: An International Journal. 34(3), pp. 186-200.

Arning, K. and Ziefle, M. (2007). Understanding age differences in PDA acceptance and performance. Computers in Human Behavior. 23(6), pp. 2904-2927.

Baptista, G. and Oliveira, T. (2016). A weight and a meta-analysis on mobile banking acceptance research. Computers in Human Behavior. 63, pp. 480-489.

Boonsiritomachai, W. and Pitchayadejanant, K. (2017). Determinants affecting mobile banking adoption by generation Y based on the Unified Theory of Acceptance and Use of Technology Model modified by the Technology Acceptance Model concept. Kasetsart Journal of Social Sciences. pp. 1-10.

Budner, S. (1962). Intolerance of ambiguity as a personality variable. Journal of personality. 30, pp. 29-50.

Chawla, D. and Joshi, H. (2017). Consumer perspectives about mobile banking adoption in India–a cluster analysis. International Journal of Bank Marketing. 35(4), pp. 616-636.

Choudrie, J., Junior, C.-O., McKenna, B. and Richter, S. (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. 88, pp. 449-465.

Choudrie, J. and Vyas, A. (2014). Silver surfers adopting and using Facebook? A quantitative study of Hertfordshire, UK applied to organizational and social change. Technological Forecasting and Social Change. 89, pp. 293-305.

Cochran, J. H. (2009). Investing in health IT: A stimulus for a healthier America. The Permanente Journal. 13(2), pp. 65-70.

Conci,M., Pianesi, F. and Zancanaro,M. (2009). Useful, social and enjoyable: Mobile Phone adoption by older people. proceedings of the Human-Computer Interaction–INTERACT 2009.pp. 63-76.

Czaja, S. J., Charness, N., Fisk, A. D., Hertzog, C., Nair, S. N., Rogers, W. A. and Sharit, J. (2006). Factors predicting the use of technology: findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE). Psychology and aging. 21(2), p. 333.

Devaraj, S., Easley, R. F. and Crant, J. M. (2008). Research note-how does personality matter? Relating the five-factor model to technology acceptance and use. Information Systems Research. 19(1), pp. 93-105.

F. Hair Jr, J., Sarstedt, M., Hopkins, L. and G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review. 26(2), pp. 106-121.

Guo, X., Sun, Y., Wang, N., Peng, Z. and Yan, Z. (2013). The dark side of elderly acceptance of preventive mobile health services in China. Electronic Markets. 23(1), pp. 49-61.

Gurtner, S., Reinhardt, R. and Soyez, K. (2014). Designing mobile business applications for different age groups. Technological Forecasting and Social Change. 88, pp. 177-188.

Hair Jr, J. F., Hult, G. T. M., Ringle, C. and Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications, Thousand Oaks, CA.

Henseler, J., Hubona, G. and Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial management & data systems. 116(1), pp. 2-20.

Hu, L.-t. and Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological methods. 3(4), p. 424.

John, O. P. and Srivastava, S. (1999). The Big Five trait taxonomy: History, measurement, and theoretical perspectives. Handbook of personality: Theory and research. 2(1999), pp. 102-138.

Joshua, A. and Koshy, M. P. (2011). Usage patterns of electronic banking services by urban educated customers: Glimpses from India. Journal of Internet Banking and Commerce. 16(1), pp. 1-12.

Junglas, I. A., Johnson, N. A. and Spitzmüller, C. (2008). Personality traits and concern for privacy: an empirical study in the context of location-based services. European Journal of Information Systems. 17(4), pp. 387-402.

Juniper Research, K. a. 2016. MOBILE BANKING USERS TO REACH 2 BILLION BY 2020, REPRESENTING MORE THAN 1 IN 3 OF GLOBAL ADULT POPULATION [Online]. [Accessed 2018].

Karani, K. G. and Fraccastoro, K. A. (2010). Resistance to brand switching: the elderly consumer. Journal of Business & Economics Research. 8(12), pp. 77-83.

Karjaluoto, H., Koenig-Lewis, N., Palmer, A. and Moll, A. (2010). Predicting young consumers' take up of mobile banking services. International Journal of Bank Marketing. 28(5), pp. 410-432.

Kuoppamäki, S.-M., Taipale, S. and Wilska, T.-A. (2017). The use of mobile technology for online shopping and entertainment among older adults in Finland. Telematics and Informatics. 34(4), pp. 110-117.

Kurt, L. (1947). Frontiers in Group Dynamics: Concept, Method, and Reality in Social Science. Human Relation. 1(1), pp.5.41

Laukkanen, T. and Pasanen, M. (2008). Mobile banking innovators and early adopters: How they differ from other online users&quest. Journal of Financial Services Marketing. 13(2), pp. 86-94.

Laukkanen, T., Sinkkonen, S., Kivijärvi, M. and Laukkanen, P. (2007). Innovation resistance among mature consumers. Journal of Consumer Marketing. 24(7), pp. 419-427.

Laumer, S., Maier, C. and Eckhardt, A. (2010). Why do they Resist?-An Empirical Analysis of an Individual's Personality Trait Resistance regarding the Adoption of New Information Systems. European Conference on Information Systems, South Africa. pp. 1-14

Laumer, S., Maier, C., Eckhardt, A. and Weitzel, T. (2015). hairUser personality and resistance to mandatory information systems in organizations: a theoretical model and empirical test of dispositional resistance to change. Journal of Information Technology. (2015), pp. 1-16.

Levy, L. H. (1970). Conceptions of personality: Theories and research. New York: Random House.

Lian, J.-W. and Yen, D. C. (2014). Online shopping drivers and barriers for older adults: Age and gender differences. Computers in Human Behavior. 37, pp. 133-143.

Lim, W. W. X. and Sulaiman, N. (2013). A conceptual framework for understanding the social care facilities management audit (SCFMA) at the residential care home for the elderly (RCHFE) in Malaysia. Proceedings of the International Conference on Management, Economics and Finance. Hotel Novotel lBorneo, Kota Kinabalu, Sabah, Malaysia, pp. 112-140.

McCrae, R. R. and Costa, P. T. (1987). Validation of the five-factor model of personality across instruments and observers. Journal of personality and social psychology. 52(1), pp. 81-90.

MCMC. 2017. Communication and multimedia pocket book of statistic 2017 [Online]. Available: https://www.mcmc.gov.my/skmmgovmy/media/General/pdf/Infograp [Accessed].

Mohammadi, H. (2015). A study of mobile banking usage in Iran. International Journal of Bank Marketing. 33(6), pp. 733-759.

Mzoughi, N. and M'Sallem, W. (2013). Predictors of internet banking adoption: Profiling Tunisian postponers, opponents and rejectors. International Journal of Bank Marketing. 31(5), pp. 388-408.

Nov, O. and Schecter, W. (2012). Dispositional resistance to change and hospital physicians' use of electronic medical records: A multidimensional perspective. Journal of the American Society for Information Science and Technology. 63(4), pp. 648-656.

Nov, O. and Ye, C. (2008). Users' personality and perceived ease of use of digital libraries: The case for resistance to change. Journal of the American Society for Information Science and Technology. 59(5), pp. 845-851.

Nov, O. and Ye, C. (2009). Resistance to change and the adoption of digital libraries: An integrative model. Journal of the American Society for Information Science and Technology. 60(8), pp. 1702-1708.

Oliveira, T., Faria, M., Thomas, M. A. and Popovič, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management. 34(5), pp. 689-703.

Olver, J. M. and Mooradian, T. A. (2003). Personality traits and personal values: a conceptual and empirical integration. Personality and individual differences. 35(1), pp. 109-125.

Oreg, S. (2003). Resistance to change: developing an individual differences measure. Journal of applied Psychology. 88(4), p. 680-693.

Oreg, S. (2006). Personality, context, and resistance to organizational change. European Journal of Work and Organizational Psychology. 15(1), pp. 73-101.

Oreg, S., Bayazit, M., Vakola, M., Arciniega, L., Armenakis, A., Barkauskiene, R., Bozionelos, N., Fujimoto, Y., González, L. and Han, J. (2008). Dispositional resistance to change: measurement equivalence and the link to personal values across 17 nations. Journal of Applied Psychology. 93(4), p. 935.

Phang, C. W., Sutanto, J., Kankanhalli, A., Li, Y., Tan, B. C. and Teo, H.-H. (2006). Senior citizens' acceptance of information systems: A study in the context of e-government services. Engineering Management, IEEE Transactions on. 53(4), pp. 555-569.

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y. and Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of applied psychology. 88(5), p. 879.

Reisenwitz, T., Iyer, R., Kuhlmeier, D. B. and Eastman, J. K. (2007). The elderly's internet usage: an updated look. Journal of Consumer Marketing. 24(7), pp. 406-418.

Ryu, M.-H., Kim, S. and Lee, E. (2009). Understanding the factors affecting online elderly user’s participation in video UCC services. Computers in Human Behavior. 25(3), pp. 619-632.

Schiffman, L. G. and Sherman, E. (1991). Value orientations of new-age elderly: The coming of an ageless market. Journal of business research. 22(2), pp. 187-194.

Shaikh, A. A. and Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics. 32(1), pp. 129-142.

Slovic, P. (1972). Information processing, situation specificity, and the generality of risk-taking behavior. Journal of personality and social psychology. 22(1), p. 128.

Tan, E., Lau, J. L. and Young, B. (2016). Behavioural intention to adopt mobile banking among the millennial generation. Young Consumers. 17(1), pp. 18-31.

Teh, P.-L., K. Ahmed, P., Cheong, S.-N. and Yap, W.-J. (2014). Age-group differences in Near Field Communication smartphone. Industrial Management & Data Systems. 114(3), pp. 484-502.

Thompson, N. J. and Thompson, K. E. (2009). Can marketing practice keep up with Europe's ageing population? European Journal of Marketing. 43(11/12), pp. 1281-1288.

Venkatesh, V., Morris, M. G., Davis, G. B. and Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly. 27(3), pp. 425-478.

Venkatesh, V., Thong, J. Y. and Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly. 36(1), pp. 157-178.

Vroman, K. G., Arthanat, S. and Lysack, C. (2015). “Who over 65 is online?” Older adults’ dispositions toward information communication technology. Computers in Human Behavior. 43, pp. 156-166.

Wagner, N., Hassanein, K. and Head, M. (2010). Computer use by older adults: A multi-disciplinary review. Computers in human behavior. 26(5), pp. 870-882.

Xue, L., Yen, C. C., Chang, L., Chan, H. C., Tai, B. C., Tan, S. B., Duh, H. B. L. and Choolani, M. (2012). An exploratory study of ageing women's perception on access to health informatics via a mobile phone-based intervention. International journal of medical informatics. 81(9), pp. 637-648.

Zhaohua Deng, X. M., Shan Liu (2014). Comparison of the middle-aged and older users’ adoption of mobile health services in China. International journal of medical informatics. 83(3), pp. 210-224.

Zuckerman, M. (1971). Dimensions of sensation seeking. Journal of consulting and clinical psychology. 36(1), p. 45-52.


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