Switching intention and switching behavior of adults in the non-life insurance sector: Mediating role of brand love
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DOIhttp://dx.doi.org/10.21511/ins.14(1).2023.01
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Article InfoVolume 14 2023, Issue #1, pp. 1-7
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In this digital era, customers in the insurance sector always look for better insurance products and services at an affordable price. When customers are unsure about service, they switch over to a better service provider. This behavior is more relevant to non-life insurance. However, the switching behavior of customers is hampered by certain switchover barriers such as “brand consciousness”, “brand pride”, “brand loyalty”, etc. This study focuses on exploring switching intentions and switching behaviors of adults in India keeping “brand love” as a mediator. A structured questionnaire was employed to collect the primary data from adults having non-life insurance products to analyze switching intentions and switching behaviors. The collected data were analyzed employing SPSS software and Hayes Process Model and appropriate statistical tools. The study results show that the switching intentions of adults vary based on their age, annual income, and education. Mean scores reveal that the lesser the age, the higher the intention to switch over. Further, based on annual income, adults who earn up to Rs 2 lakhs annually have more switching-over intentions (Mean score: 3.9719) followed by adults who earn Rs more than 2 lakhs to 5 lakhs annually (Mean score: 3.7590). Mean scores of education levels regarding switching intentions are higher among more educated adults and less among those who are qualified up to the school level.
- Keywords
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JEL Classification (Paper profile tab)G22, G41, G52, I13
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References22
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Tables10
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Figures0
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- Table 1. Changes in switching intentions
- Table 2. Changes in switching behavior
- Table 3. Changes in brand love
- Table 4. Correlation matrix
- Table 5. Model summary
- Table 6. Tested model
- Table 7. Model outline
- Table 8. Model coefficients
- Table 9. Direct effect
- Table 10. Indirect effect
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- Amani, D. (2022). Circumventing customers’ switching behavior in telecommunication industry in Tanzania: Insight from Sternberg’s Triangular Theory of Love. Cogent Social Sciences, 8(1), 2042078.
- Arham, A. F., Norizan, N. S., Razak, N. A., Mahmud, N., Hisham, M. N. M., & Nawi, A. R. M. (2020). Is Switching Intention an Alarming Issue for General Insurance Providers? Malaysia’s Perspectives. International Journal of Academic Research in Business and Social Sciences, 10(3), 264-271.
- Bagozzi, R. P., Batra, R., & Ahuvia, A. (2017). Brand love: development and validation of a practical scale. Marketing Letters, 28(1), 1-14.
- Bolhaar, J., Lindeboom, M., & Van der Klaauw, B. (2009). Insurance search and switching behaviour at the time of the Dutch health insurance reform (HEDG Working Paper No. 09/14). Health, Econometrics and Data Group, The University of York.
- Boonen, L. H. H. M., Laske-Aldershof, T., & Schut, F. T. (2016). Switching health insurers: the role of price, quality and consumer information search. European Journal of Health Economics, 17(3), 339-353.
- Farah, M. F. (2017). Application of the theory of planned behavior to customer switching intentions in the context of bank consolidations. International Journal of Bank Marketing, 35(1), 147-172.
- Fernando, W. M. S. N., Dasanayaka, S. W. S. B., & Mudalige, D. (2019). Tech-based Services Innovation for Customer Switching Behavior: A case study based on Internationalized Tech-Small and Medium Automobile Insurance Firms in Gampaha District of Sri Lanka. International Journal of Innovative Science, Engineering & Technology, 6(7), 1-5.
- Hayes, A. F. (2012). Conditional Process Analysis: A Regression-based Approach. Guilford Press.
- Hendriks, M., De Jong, J. D., Van Den Brink-Muinen, A., & Groenewegen, P. P. (2010). The intention to switch health insurer and actual switching behaviour: Are there differences between groups of people? Health Expectations, 13(2), 195-207.
- Hidayat, A., Wijaya, T., Ishak, A., Ekasasi, S. R., & Zalzalah, G. G. (2021). Model of the consumer switching behavior related to healthy food products. Sustainability (Switzerland), 13(6), 1-12.
- Krejcie, R. V, & Morgon, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30, 607-610.
- Kumar, N. A., & Girish, S. (2021). Determinants and Dimensions of Customer Switching Behavior – A Systematic Review. Journal of Contemporary Issues in Business and Government, 27(3), 448-454.
- Lai, L.-H., Liu, C.-T., & Lin, J.-T. (2011). The moderating effects of switching costs and inertia on the customer satisfaction-retention link: auto liability insurance service in Taiwan. Insurance Markets and Companies, 2(1), 69-78.
- Lako, C. J., Rosenau, P., & Daw, C. (2020). Switching Health Insurance Plans: Results from a Health Survey. Health Care Anal, 19, 312-328.
- Lee, S., Zufryden, F., & Drèze, X. (2003). A Study of consumer switching behavior across internet portal web sites. International Journal of Electronic Commerce, 7(3), 39-63.
- Marcos, A. (2018). The Role of the Positive Switching Costs in the Insurance Industry. International Journal of Marketing, Communication and New Media, 6(10), 2182-9306.
- Njite, D., Kim, W. G., & Kim, L. H. (2008). Theorizing consumer switching behavior: A general systems theory approach. Journal of Quality Assurance in Hospitality and Tourism, 9(3), 185-218.
- Olsson, F., & Gall, G. (2012). How do the predictors of switching intention influence switching behavior?
- Ray, S., Vasundhara Thakur, & Bandyopadhyay, K. (2020). India’ s insurance sector: challenges and opportunities Kuntala Bandyopadhyay. In Indian council for research on international economic relations (Vol. 1, Issue July).
- Roos, I., Edvardsson, B., & Gustafsson, A. (2004). Customer switching patterns in competitive and noncompetitive service industries. Journal of Service Research, 6(3), 256-271.
- Sivakumaran, V., & Peter, S. (2020). Model to assess consumer switching behaviour. Proceedings of the International Conference on Industrial Engineering and Operations Management (pp. 1056-1062).
- Zhang, S., Peng, M. Y. P., Peng, Y., Zhang, Y., Ren, G., & Chen, C. C. (2020). Expressive Brand Relationship, Brand Love, and Brand Loyalty for Tablet PCs: Building a Sustainable Brand. Frontiers in Psychology, 11, 1-10.