Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

The Impact of Technology Based Self Service Banking Service Quality on Customer Loyalty


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

   Subscribe/Renew Journal


The technology based self service banking (TBSSB) refers to banking services availed by customers using electronic banking channels, without any interaction with bank employees. This paper examined the impact of TBSSB service quality dimensions on customer loyalty. A survey was conducted to collect data from customers of different banks, using a questionnaire. The sample size of 414 was divided into two sub-samples of equal size. The dimensions (factors) were identified by conducting an exploratory factor analysis (EFA) on first sub-sample using SPSS 16.0 software. Factor structure was confirmed by conducting confirmatory factor analysis (CFA) using AMOS 20.0 software on the second sub-sample. The proposed TBSSB SQ-Customer Loyalty conceptual model was tested for uni-dimensionality, reliability, and validity. Four proposed hypotheses were tested using structural equation modelling (SEM) with the help of AMOS 20.0. Out of four TBSSB service quality dimensions, Personalisation is the only dimension that is found to have positive significant effect on customer loyalty. This study will guide banks about the critical technology based banking factors that need to be focussed upon for increasing customer loyalty.

Keywords

Technology Based Self Service Banking, Exploratory Factor Analysis, Confirmatory Factor Analysis, Structural Equation Modelling, Customer Loyalty.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Al-Hawari, M. A. (2011). Automated service quality as a predictor of customers’ commitment: a practical study within the UAE retail banking context. Asia Pacifi c Journal of Marketing and Logistics, 23, 346-366.
  • Al-Hawari, M., Hartley, N., & Ward, T. (2005). Measuring banks’ automated service quality: a confi rmatory factor analysis approach, Marketing bulletin, 16(1), 1-19.
  • Al-Hawari, M., Ward, T., & Newby, L. (2009). The relationship between service quality and retention within the automated and traditional contexts of retail banking. Journal of service management, 20, 455-472.
  • Ariff, M. S. M., Yun, L. O., Zakuan, N., & Ismail, K. (2013). The impacts of service quality and customer satisfaction on customer loyalty in internet banking. Procedia-Social and Behavioral Sciences, 81, 469-473.
  • Asgari, N., Ahmadi, M. H., Shamlou, M., Farokhi, A. R., & Farzin, M. (2014). Studying the impact of eservice quality on e-loyalty of customers in the area of e-banking Services. Journal of Management and Sustainability, 4(2), 126.
  • Auta, E. M. (2010). E-banking in developing economy: Empirical evidence from Nigeria. Journal of Applied Quantitative Methods, 5, 212-222.
  • Aydin, S., & Ozer, G. (2005). National customer satisfaction indices: an implementation in the Turkish mobile telephone market. Marketing Intelligence & Planning, 23, 486-504.
  • Bartlett, M. S. (1954). A note on the multiplying factors for various χ 2 approximations. Journal of the Royal Statistical Society, Series B (Methodological), 296-298.
  • Bauer, H. H., Hammerschmidt, M., & Falk, T. (2005), Measuring the quality of e-banking portals. International Journal of Bank Marketing, 23, 153-175.
  • Bitner, M. J., Brown, S. W., & Meuter, M. L. (2000). Technology infusion in service encounters. Journal of the Academy of marketing Science, 28(1), 138-149.
  • Broderick, A. J., & Vachirapornpuk, S. (2002). Service quality in internet banking: the importance of customer role. Marketing Intelligence & Planning, 20, 327-335.
  • Caruana, A. (2002). Service loyalty: the effects of service quality and the mediating role of customer satisfaction. European Journal of Marketing, 36, 811-828.
  • Chen, P. Y., & Hitt, L. M. (2002). Measuring Switching Costs and the eterminants of Customer Retention in Internet-Enabled Businesses: A Study of the Online Brokerage Industry. Information Systems Research, 13(3), 255-274.
  • Collier, J. E., & Bienstock, C. C. (2006). Measuring service quality in e-retailing. Journal of Service Research, 8, 260-275.
  • Coulter, K. & Coulter, R. (2002). Determinants of trust in service provider: The moderating role of length of relationship. Journal of Service Marketing, 16(1), 35-50.
  • Cronin Jr, J. J., & Taylor, S. A. (1992). Measuring service quality: A re-examination and extension. The Journal of Marketing, 55-68.
  • Cronin Jr, J. J., & Taylor, S. A. (1994). SERVPERF versus SERVQUAL: reconciling performance-based and perceptionsminus-expectations measurement of service quality. The Journal of Marketing, 125-131.
  • Cronin Jr, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76, 193-218.
  • Dabholkar, P. A., & Bagozzi, R. P. (2002). An attitudinal model of technology-based self-service: moderating effects of consumer traits and situational factors. Journal of the Academy of Marketing Science, 30, 184-201.
  • 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, 139-173.
  • Dilijonas, D., Kriksciunien, D., Sakalauskas, V., & Simutis, R. (2009), Sustainability based service quality approach for automated teller machine network. Retrieved from www.vgtu.lt/leidinai/leidykla/ KORSD_2009/PDF/241-246-p100-Dilijonas-47.pdf
  • Doll, W. J., & Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly, 259-274.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(3), 39-50.
  • Ganesan, S. (1994), Determinants of long-term orientation in buyer-seller relationships. Journal of Marketing, 58(April),1-19.
  • 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 technologybased service quality dimensions in banking: Impact on customer satisfaction and loyalty, International Journal of Bank Marketing, 29, 168-189.
  • Gilbert, G. R., Veloutsou, C., Goode, M. M., & Moutinho, L. (2004). Measuring customer satisfaction in the fast food industry: a cross-national approach. Journal of Services Marketing, 18, 371-383.
  • Gronroos, C. (1984). A service quality model and its marketing implications. European Journal of Marketing, 18(4), 36-44.
  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis, 6. Upper Saddle River, NJ: Pearson Prentice Hall.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R.E. (2010). Multivariate Data Analysis. Seventh Edition. Prentice Hall, Upper Saddle River, NJ.
  • Hallowell, R. (1996). The relationships of customer satisfaction, customer loyalty, and profi tability: An empirical study. International Journal of Service Industry Management, 7(4), 27-42.
  • Herington, C., & Weaven, S. (2007). Can banks improve customer relationships with high quality online services. Managing Service Quality, 17(4), 404-427.
  • 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.
  • Hooley, G. J., Saunders, J. A., & Piercy, N. F. (2003). Marketing strategy and competitive positioning, (3rd ed.). Essex, England: Pearson Education Limited.
  • Ibrahim, E. E., Joseph, M., & Ibeh, K. I. (2006). Customers’ perception of electronic service delivery in the UK retail banking sector. International Journal of Bank Marketing, 24, 475-493.
  • Johnson, M. D., Gustafsson, A., Andreassen, T. W., Lervik, L., & Cha, J. (2001), The evolution and future of national customer satisfaction index models. Journal of Economic Psychology, 22, 217-245.
  • Joseph, M., & Stone, G. (2003). An empirical evaluation of US bank customer perceptions of the impact of technology on service delivery in the banking sector. International Journal of Retail & Distribution Management, 31, 190-202.
  • Joseph, M., McClure, C., & Joseph, B. (1999). Service quality in the banking sector: the impact of technology on service delivery. International Journal of Bank Marketing, 17, 182-193.
  • Jun, M., & Cai, S. (2001). The key determinants of internet banking service quality: a content analysis. International Journal of Bank Marketing, 19, 276-291.
  • Kaiser, H. F. (1974), An index of factorial simplicity. Psychometrika, 39(1), 31-36.
  • Katono, I. W. (2011), Construction of an instrument to measure social valuation in an emerging market context. Education+ Training, 53, 371-386.
  • Kim, M. K., Park, M. C., & Jeong, D. H. (2004). The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services. Telecommunications policy, 28, 145-159.
  • Kim, S. Y., & Lim, Y. J. (2001). Consumers’ perceived importance of and satisfaction with internet shopping. Electronic Markets, 11, 148-154.
  • Kumbhar, V.M. (2011), Structural equation modeling of eBankQual scale: A study of E-Banking in India. International Journal of Business Economics and Management Research, 2(5), 18-32.
  • Lee, H., Lee, Y., & Yoo, D. (2000). The determinants of perceived service quality and its relationship with satisfaction. Journal of Services Marketing, 14, 217-231.
  • Loonam, M., & O’ Loughlin, D. (2008). Exploring e-service quality: A study of Irish online Banking. Marketing Intelligence and Planning, 26(7), 759-780.
  • Maenpaa, K. (2006). Clustering the consumers on the basis of their perceptions of the Internet banking services. Internet Research, 16, 304-322.
  • Malhotra, N., & Birks, D. (2007). Marketing research, an applied approach. Prentice Hall, London.
  • Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000), Self-service technologies: understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 50-64.
  • Morgan, R. M., & Hunt, S. D. (1994). The commitmenttrust theory of relationship marketing. Journal of marketing, 20-38.
  • Narteh, B. (2013). Service quality in automated teller machines: An empirical investigation. Managing Service Quality, 23(1), 62-89.
  • Oliver, R. L. (1999). Whence consumer loyalty? Journal of Marketing, 63(4), 33-44.
  • Olorunniwo, F., & Hsu, M. K. (2006). A typology analysis of service quality, customer satisfaction and behavioral intentions in mass services. Managing Service Quality, 16(2), 106-123.
  • Ombati, T. O., Magutu, P. O., Nyamwange, S. O., & Nyaoga, R. B. (2010). Technology and service quality in the banking industry.
  • Page, T. J., & Spreng, R. A. (2002). Difference scores versus direct effects in service quality measurement. Journal of Service Research, 4, 184-192.
  • Parasuraman, A. (2000). Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2, 307-320.
  • Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL a multiple-item scale for assessing electronic service quality. Journal of Service Research, 7, 213-233.
  • Reichheld, F. F. (2003). The one number you need to grow. Harvard Business Review, 81(12), 46-55.
  • Sahadev, S., & Purani, K. (2008). Modelling the consequences of e-service quality. Marketing Intelligence & Planning, 26, 605-620.
  • Santos, J. (2003). E-service quality: A model of virtual service quality dimensions. Managing Service Quality, 13, 233-246.
  • Seth, N., Deshmukh, S. G., & Vrat, P. (2006). A conceptual model for quality of service in the supply chain. International Journal of Physical Distribution & Logistics Management, 36, 547-575.
  • Siekpe, J. S. (2005). An examination of the multidimensionality of fl ow construct in a computer-mediated environment. Journal of Electronic Commerce Research, 6(1), 31-43.
  • Singh, J., & Sirdeshmukh, D. (2000). Agency and trust mechanisms in consumer satisfaction and loyalty judgments. Journal of the Academy of marketing Science, 28, 150-167.
  • Suleiman, G. P., Mat, N. K. N., Adesiyan, O. I., Mohammed, A. S., & ALekam, J. (2012). Customer Loyalty in e-Banking: A Structural Equation Modelling (SEM) Approach. American Journal of Economics (Special), 55-59.
  • Sureshchandar, G. S., Rajendran, C., & Anantharaman, R. N. (2002). Determinants of customer-perceived service quality: A confi rmatory factor analysis approach. Journal of services Marketing, 16(1), 9-34.
  • Van Riel, A. C., Liljander, V., & Jurriens, P. (2001). Exploring consumer evaluations of e-services: A portal site. International Journal of Service Industry Management, 12, 359-377.
  • Yang, Z., Jun, M., & Peterson, R. T. (2004). Measuring customer perceived online service quality: scale development and managerial implications. International Journal of Operations & Production Management, 24, 1149-1174.
  • Yen, H. J. R., & Gwinner, K. P. (2003). Internet retail customer loyalty: The mediating role of relational benefi ts. International Journal of Service Industry Management, 14, 483-500.
  • Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 31-46.

Abstract Views: 365

PDF Views: 0




  • The Impact of Technology Based Self Service Banking Service Quality on Customer Loyalty

Abstract Views: 365  |  PDF Views: 0

Authors

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

Abstract


The technology based self service banking (TBSSB) refers to banking services availed by customers using electronic banking channels, without any interaction with bank employees. This paper examined the impact of TBSSB service quality dimensions on customer loyalty. A survey was conducted to collect data from customers of different banks, using a questionnaire. The sample size of 414 was divided into two sub-samples of equal size. The dimensions (factors) were identified by conducting an exploratory factor analysis (EFA) on first sub-sample using SPSS 16.0 software. Factor structure was confirmed by conducting confirmatory factor analysis (CFA) using AMOS 20.0 software on the second sub-sample. The proposed TBSSB SQ-Customer Loyalty conceptual model was tested for uni-dimensionality, reliability, and validity. Four proposed hypotheses were tested using structural equation modelling (SEM) with the help of AMOS 20.0. Out of four TBSSB service quality dimensions, Personalisation is the only dimension that is found to have positive significant effect on customer loyalty. This study will guide banks about the critical technology based banking factors that need to be focussed upon for increasing customer loyalty.

Keywords


Technology Based Self Service Banking, Exploratory Factor Analysis, Confirmatory Factor Analysis, Structural Equation Modelling, Customer Loyalty.

References