International Journal of Applied Marketing and Management

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The Effect of Demographic Characteristics on Mb-Loyalty:A Study of Mobile Banking Customers


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1 Department of Management Studies, YMCA University of Science and Technology, Faridabad, Haryana, India
     

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Mb-loyalty may be considered as the behavioural intention to continue relationship with mobile banking service provider. The aim of the present paper is to empirically examine the influence of demographics characteristics (gender, age, highest completed education, occupation, and annual income) of mobile banking customers on loyalty towards mobile banking services. Data is collected from 312 mobile banking customers in Delhi and NCR region. Levene's test of homogeneity of variance, t-test, one-way analysis of variance (ANOVA), and post-hoc tests are performed on the collected data. The analysis results display the significant effect of age, education and income variables on mb-loyalty. This research is different from the others in a manner that rather than finding the effect of demographic characteristics on loyalty with the overall banking services, it focuses exclusively on the perception of mobile banking customers and finds the influence of their demographics on loyalty with mobile banking services. This research will give insights to bankers and academicians about the differences in customer loyalty that may arise by the diversity in demographic characteristics of mobile banking customers and recommends bankers to focus on demographic characteristics for creating value for customers, resulting in enhanced mb-loyalty.

Keywords

Customer Loyalty, Mobile Banking, Demographic Characteristics, Levene’s Test, ANOVA, T-Test, Mb-Loyalty.
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  • Al-Hawari, M., & Ward, T. (2006). The effect of automated service quality on Australian banks’ financial performance and the mediating role of customer satisfaction. Marketing Intelligence & Planning, 24(2), 127-147.

  • 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.

  • Dabholkar, P. A., Shepherd, C. D., & Thorpe, D. I. (2000). A comprehensive framework for service quality: an investigation of critical conceptual and measurement issues through a longitudinal study. Journal of retailing, 76(2), 139-173.

  • Elanain, H. E. M. A. (2003). Staff perceptions of service quality in Egyptian commercial banks: an internal and external perspective (Doctoral dissertation, © Hossam Abou Elanain).

  • Ganesan-Lim, C., Russell-Bennett, R., & Dagger, T. (2008). The impact of service contact type and demographic characteristics on service quality perceptions. Journal of services Marketing, 22(7), 550-561.

  • Ganesh, J., Arnold, M. J., & Reynolds, K. E. (2000). Understanding the customer base of service providers: an examination of the differences between switchers and stayers. Journal of marketing, 64(3), 65-87.

  • Ganguli, S., & Roy, S. K. (2011). Generic technology-based service quality dimensions in banking: Impact on customer satisfaction and loyalty. International Journal of Bank Marketing, 29(2), 168-189.

  • Hallowell, R. (1996). The relationships of customer satisfaction, customer loyalty, and profitability: An empirical study. International Journal of Service Industry

  • Joshua, A. J. (2009). Adoption of Technology Enabled Banking Self Services antecedents and consequences. PhD thesis, Cochin University of Science and Technology, Kochi, India

  • Levene, H. (1960). Robust tests for equality of variances. In Ingram Olkin; Harold Hotelling; et al. Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling. Stanford University Press. pp. 278-292.

  • Mburu, P. N. (2014). Demographic statistics, customer satisfaction and retention: The Kenyan banking industry. Journal of Business and Economics, 5(11), 2015-2118.

  • Oliver, R. L. (1999). Whence consumer loyalty? The Journal of Marketing, 63, 33-44.

  • Saad, R., Ishak, H., & Johari, N. R. (2013). The impact of demographic factors toward customer loyalty: A study on credit card users. Elixir Marketing Management, 55, 13078-13084.

  • Saeed, R., Lodhi, R. N., & Afzal, N. (2013). Impact of customer satisfaction and demographic factors on customer’s loyalty in banking sector of Pakistan. MiddleEast Journal of Scientific Research, 18, 1429-1435.

  • Seiler, V., Rudolf, M., & Krume, T. (2013). The influence of socio-demographic variables on customer satisfaction and loyalty in the private banking industry. International Journal of Bank Marketing, 31(4), 235-258.

  • Sikari, N., & Harikrishnan, K (2017). A brief idea about mobile banking (m-banking). Intercontinental Journal of Marketing Research Review, 5(4), 6-14.

  • Sindwani, R., & Goel, M. (2012a). An analysis of atm banking service quality and its dimensions. International Journal of Marketing and Management Research, 3(5), 50-57.

  • Sindwani, R., & Goel, M. (2012b). Online banking service quality: A review. International Journal of Marketing and Technology, 2(7), 114-124.

  • Sindwani, R., & Goel, M. (2012c). Developments in electronic banking service quality. International Journal of Research in IT & Management, 2(5), 37-43.

  • Sindwani, R., & Goel, M. (2014a). Dimensions of technology based self-service banking service quality. YMCAUST International Journal of Research, 2(2), 17-25.

  • Sindwani, R., & Goel, M. (2014b). Acceptance of technology based self service banking among mature customers. PRIMA: Practices and Research in Marketing, 5(1/2), 17-20.

  • Sindwani, R., & Goel, M. (2015a). Technology Based self-service banking service quality evaluation: A graph theoretic approach. International Journal of Advanced Science and Technology, 80, 1-18.

  • Sindwani, R., & Goel, M. (2015b). The impact of technology based self-service banking service quality on customer loyalty. International Journal of Marketing & Business Communication, 4(3), 13-22.

  • Sindwani, R., & Goel, M. (2015c). The impact of technology based self-service banking dimensions on customer satisfaction. International Journal of Business Information Systems Strategies, 4(1/2), 1-13.

  • Sindwani, R., & Goel, M. (2016). The relationship between service quality dimensions, customer satisfaction and loyalty in technology based self service banking. International Journal of E-Services and Mobile Applications, 8(2), 54-70.

  • Singh, J., & Sirdeshmukh, D. (2000). Agency and trust mechanisms in consumer satisfaction and loyalty judgments. Journal of the Academy of marketing Science, 28(1), 150-167.

  • Sureshchandar, G. S., Rajendran, C., & Anantharaman, R. N. (2002). The relationship between service quality and customer satisfaction: A factor specific approach. Journal of Services Marketing, 16(4), 363-379.

  • Tweneboah-Koduah, E. Y., & Farley, A. Y. D. (2016). Relationship between customer satisfaction and customer loyalty in the retail banking sector of Ghana. International Journal of Business and Management, 11(1), 249.

  • Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31-46.


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  • The Effect of Demographic Characteristics on Mb-Loyalty:A Study of Mobile Banking Customers

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Authors

Rajiv Sindwani
Department of Management Studies, YMCA University of Science and Technology, Faridabad, Haryana, India

Abstract


Mb-loyalty may be considered as the behavioural intention to continue relationship with mobile banking service provider. The aim of the present paper is to empirically examine the influence of demographics characteristics (gender, age, highest completed education, occupation, and annual income) of mobile banking customers on loyalty towards mobile banking services. Data is collected from 312 mobile banking customers in Delhi and NCR region. Levene's test of homogeneity of variance, t-test, one-way analysis of variance (ANOVA), and post-hoc tests are performed on the collected data. The analysis results display the significant effect of age, education and income variables on mb-loyalty. This research is different from the others in a manner that rather than finding the effect of demographic characteristics on loyalty with the overall banking services, it focuses exclusively on the perception of mobile banking customers and finds the influence of their demographics on loyalty with mobile banking services. This research will give insights to bankers and academicians about the differences in customer loyalty that may arise by the diversity in demographic characteristics of mobile banking customers and recommends bankers to focus on demographic characteristics for creating value for customers, resulting in enhanced mb-loyalty.

Keywords


Customer Loyalty, Mobile Banking, Demographic Characteristics, Levene’s Test, ANOVA, T-Test, Mb-Loyalty.

References