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Modelling Customer's Vision towards Distribution Channels of Indian Life Insurance Industry


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1 University Business School, Guru Nanak Dev University, Amritsar, India
     

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The study endeavours to examine relationship between customer satisfaction and dimensions of behavioral consequences, specifically toward services provided by distribution channels of Indian Life Insurance Industry. A total of 617 responses have been generated from life insurance policyholders. Using Exploratory and Confirmatory Factor Analyses, instruments to measure customer's satisfaction and behavioral intentions have been tested specifically for life insurance intermediaries and relationships have been confirmed through Structural Equation Modelling. The resulting instrument provides support for the original constructs- core service, human element of service delivery, systematization of service delivery, tangibles of service and social responsibility- but with 32 items instead of prior 41 items, as important antecedents for measuring customer's satisfaction. The results provide empirical support for comprehensive nature of positive effects of satisfaction on word of mouth, purchase intention and price sensitivity but negative influence on complaining behavior.

Keywords

Customer Satisfaction, Behavioral Consequences, Distribution Channels, Life Insurance Services, India.
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  • Anderson, E. W. (1996). Customer satisfaction and price tolerance. Marketing Letters, 7(3), 265-274.

  • Anderson, E.W., & Sullivan, M.W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12 (2), 125-43.

  • Athanassopoulos, A., Gounaris, S., & Stathakopoulos, V. (2001). Behavioural responses to customer satisfaction: An empirical study. European Journal of Marketing, 35(5/6), 687-707.

  • Babakus, E., & Boller, G. W. (1992). An empirical assessment of the SERVQUAL scale. Journal of Business Research, 24(3), 253-268.

  • Babakus, E., & Mangold, W. G. (1992). Adapting the SERVQUAL scale to hospital services: An empirical investigation. Health Services Research, 26 (6), 767-786.

  • Bala, N., & Sandhu, H. S. (2011). Analysis of factors influencing agents' perception towards Life Insurance Corporation of India. International Journal of Industrial Marketing, 1(1), 88-110.

  • Baumann, C., Burton, S., Elliott, G., & Kehr, H. M. (2007). Prediction of attitude and behavioural intentions in retail banking. International Journal of Bank Marketing, 25(2), 102-116.

  • Baumgartner, H., & Homburg, C. (1996). Applications of structural equation modelling in marketing and consumer research: A review. International Journal of Research in Marketing, 13(2), 139-16.

  • Bearden, W.O., & Teel, J.E. (1983). Selected determinants of consumer satisfaction and complaint reports. Journal of Marketing Research, 20 (1), 21-8.

  • Bloemer, J., De Ruyter, K. O., & Wetzels, M. (1999). Linking perceived service quality and service loyalty: A multi-dimensional perspective. European Journal of Marketing, 33(11/12), 1082-1106.

  • Bose, S., & Gupta, N. (2013). Customer perception of services based on the SERVQUAL dimensions: A study of Indian commercial banks. Services Marketing Quarterly, 34(1), 49-66.

  • Boulding, W., Kalra, A., Staelin, R., & Zeithaml, V. A. (1993). A dynamic process model of service quality: From expectations to behavioral intentions. Journal of Marketing Research, 30(1), 7-27.

  • Buttle, F. (1996). SERVQUAL: Review, critique, research agenda. European Journal of Marketing, 30(1), 8-32.

  • Churchill, G.A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64-73.

  • Colgate, M., & Norris, M. (2001). Developing a comprehensive picture of service failure. International Journal of Service Industry Management, 12(3), 215-233.

  • Cronin Jr, J. J., & Taylor, S. A. (1992). Measuring service quality: A re examination and extension. The Journal of Marketing, 56 (3), 55-68.

  • Cronin, 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(2), 193-218.

  • Davidow, M., & Leigh, J. H. (1998). The effects of organizational complaint responses on consumer satisfaction, word of mouth activity and repurchase intentions. Journal of Consumer Satisfaction Dissatisfaction and Complaining Behavior, 11, 91-102.

  • Doll, W.J., Xia, W., & Torkzadeh, G. (1994). A confirmatory factor analysis of the end-user computing satisfaction instrument, MIS Quarterly, 18(4), 357–369.

  • Duodu, F. K., & Amankwah, T. (2011). An analysis and assessment of customer satisfaction with service quality in insurance industry in Ghana (unpublished thesis) Lulea University of Technology.

  • Durvasula, S., Lysonski, S., Mehta, S. C., & Tang, B. P. (2004). Forging relationships with services: The antecedents that have an impact on behavioural outcomes in the life insurance industry. Journal of Financial Services Marketing, 8(4), 314-326.

  • Essmui, H., Berma, M., Shahadan, F. B., Ramlee, S. B., & Mohd, M. F. B. (2014). Structural equation model for analyzing the impact of business environment on firm's growth. International Journal of Economics and Finance, 6 (9), 177-189.

  • Finn, D. W., & Lamb, C.W. (1991). An evaluation of the SERVQUAL scales in a retailing setting. NAAdvances in Consumer Research, 18.483-490. Retrieved from http://acrwebsite.org/volumes/7137/ volumes/v18/NA-18.

  • Fisher, J. E., Garrett, D. E., Arnold, M. J., & Ferris, M. E. (1999). Dissatisfied consumers who complain to the better business bureau. Journal of Consumer Marketing, 16(6), 576-589.

  • Fornell, C. (1992). A national customer satisfaction barometer: The Swedish experience. Journal of Marketing, 56(1), 6-21.

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18 (1), 39-50.

  • Fornell, C., Johnson, M. D., Anderson, E. W., Cha, J., & Bryant, B. E. (1996). The American customer satisfaction index: Nature, purpose, and findings. The Journal of Marketing, 60 (4), 7-18.

  • Garg, M. C., & Verma, A. (2010). An empirical assessment of five dimensions of SERVQUAL in Life Insurance in India. Asia Pacific Business Review, 6 (3), 138-146.

  • Gera, R. (2011). Modelling the service antecedents of favourable and unfavourable behaviour intentions in life insurance services in India: An SEM study. International Journal of Quality and Service Sciences, 3 (2), 225-242.

  • Goswami, P. (2007). Customer satisfaction with service quality in the life insurance industry in India.

  • ICFAI Journal of Services Marketing, 5(1), 25-30.

  • Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective (Vol. 7). Upper Saddle River, NJ: Pearson.

  • Halstead, D., & Page, T. J. (1992). The effects of satisfaction and complaining behavior on consumer repurchase intentions. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 5(1), 1-11.

  • Hellier, P. K., Geursen, G. M., Carr, R. A., &Rickard, J. A. (2003). Customers repurchase intention: A general structural equation model. European Journal of Marketing, 37(11/12), 1762-1800.

  • Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53-60.

  • Hoyle, R. H. (Ed.). (1995). Structural equation modelling: Concepts, issues, and applications. New Delhi: Sage Publications.

  • Kuhlemeyer, G. A., & Allen, G. H. (1999). Consumer satisfaction with life insurance: A benchmarking survey. Journal of Financial Counselling and Planning, 10(2), 35-49.

  • Murray, D., & Howat, G. (2002). The relationships among service quality, value, satisfaction, and future intentions of customers at an Australian sports and leisure centre. Sport Management Review, 5(1), 25-43.

  • Newman, K. (2001). Interrogating SERVQUAL: A critical assessment of service quality measurement in a high street retail bank. International Journal of Bank Marketing, 19(3), 126-139.

  • Oliver, R. L. (1987). An investigation of the interrelationship between consumer (dis) satisfaction and complaint reports. Advances in Consumer Research, 14(1), 218-222.

  • Olsen, S. O. (2002). Comparative evaluation and the relationship between quality, satisfaction, and repurchase loyalty. Journal of the Academy of Marketing Science, 30 (3), 240-249.

  • Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: Multiple-Item scale for measuring consumer perceptions of service Quality. Journal of Retailing, 64(1), 12-40.

  • Ramanujam, S. (2012). Designed to deliver policyholder service strategy. IRDA Journal, 10 (3), 29-33.

  • Richins, M. L. (1983). Negative word-of-mouth by dissatisfied consumers: A pilot study. The Journal of Marketing, 47(1), 68-78.

  • Rust, R. T., & Zahorik, A. J. (1993). Customer satisfaction, customer retention, and market share.

  • Journal of Retailing, 69(2), 193-215.

  • Siddiqui, M. H., & Sharma, T. G. (2010). Analyzing customer satisfaction with service quality in life insurance services. Journal of Targeting, Measurement and Analysis for Marketing, 18(3-4), 221-238.

  • Singh, J., & Widing, R. E. (1991). What occurs once consumers complain? A theoretical model for understanding satisfaction/dissatisfaction outcomes of complaint responses. European Journal of Marketing, 25(5), 30-46.

  • Spreng, R. A., MacKenzie, S. B., & Olshavsky, R. W. (1996). A reexamination of the determinants of consumer satisfaction. The Journal of Marketing, 60 (3), 15-32.

  • Steiger, J. H. (2007). Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences, 42(5), 893-898.

  • Sureshchandar, G. S., Rajendran, C., & Anantharaman, R. N. (2002a). Determinants of customerperceived service quality: A confirmatory factor analysis approach. Journal of Services Marketing, 16(1), 9-34.

  • Sureshchandar, G. S., Rajendran, C., & Anantharaman, R. N. (2002b). The relationship between service quality and customer satisfaction-a factor specific approach. Journal of Services marketing, 16(4), 363379.

  • Taylor, S.A., & Baker, T.L. (1994). An assessment of the relationship between service quality and customer satisfaction in the formation of consumers' purchase intentions. Journal of Retailing, 70 (2), 163-178.

  • Teas, R. K. (1993). Expectations, performance evaluation, and consumers' perceptions of quality. The Journal of Marketing, 57 (4), 18-34.

  • Vandamme, R., & Leunis, J. (1993). Development of a multiple-item scale for measuring hospital service quality. International Journal of Service Industry Management, 4(3), 30-49.

  • Westbrook, R. A. (1987). Product/consumption-based affective responses and post purchase processes.

  • Journal of Marketing Research, 24(3), 258-270.

  • Woodside, A.G., Frey, L.L., & Daly, R.T. (1989). Linking service quality, customer satisfaction, and behavioral intention. Journal of Health Care Marketing, 9 (4), 5-17.

  • Worthington, R. L., & Whittaker, T. A. (2006). Scale development research: A content analysis and recommendations for best practices. The Counseling Psychologist, 34(6), 806-838.

  • Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality.

  • The Journal of Marketing, 60 (2), 31-46.


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  • Modelling Customer's Vision towards Distribution Channels of Indian Life Insurance Industry

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Authors

Samiya Chattha
University Business School, Guru Nanak Dev University, Amritsar, India
Sumninder Kaur Bawa
University Business School, Guru Nanak Dev University, Amritsar, India

Abstract


The study endeavours to examine relationship between customer satisfaction and dimensions of behavioral consequences, specifically toward services provided by distribution channels of Indian Life Insurance Industry. A total of 617 responses have been generated from life insurance policyholders. Using Exploratory and Confirmatory Factor Analyses, instruments to measure customer's satisfaction and behavioral intentions have been tested specifically for life insurance intermediaries and relationships have been confirmed through Structural Equation Modelling. The resulting instrument provides support for the original constructs- core service, human element of service delivery, systematization of service delivery, tangibles of service and social responsibility- but with 32 items instead of prior 41 items, as important antecedents for measuring customer's satisfaction. The results provide empirical support for comprehensive nature of positive effects of satisfaction on word of mouth, purchase intention and price sensitivity but negative influence on complaining behavior.

Keywords


Customer Satisfaction, Behavioral Consequences, Distribution Channels, Life Insurance Services, India.

References