Assessment of factors determining consumer satisfaction with crop insurance services

Rolandas Drejeris, Martynas Rusteika

Article ID: 4697
Vol 8, Issue 6, 2024

VIEWS - 198 (Abstract) 106 (PDF)

Abstract


Consumer satisfaction can be defined as the user’s response to a service or experience compared to the user’s expectations and perceived practical benefits. After reviewing consumer satisfaction models, it can be argued that there is no single model of consumer satisfaction assessment that is suitable for every service and every region of the world, as the causes and outcomes of satisfaction often vary. The research is original in its methodology: at the beginning, a theoretical research model is presented, then hypotheses are formulated, and correlation, factorial, regression analyses were made, which results confirmed hypotheses. The crop insurance system consists of relations between the state institution regulates insurance activities, farmers, insurers and insurance intermediaries. The aim of this article is to identify the factors that determine consumer satisfaction with crop insurance and to assess their impact. The empirical study found that consumer satisfaction is determined by the factors of recognizable value, functional (process) and technical (result) quality, consumer expectations, and image. The most important factors that determine consumer satisfaction of crop insurance are recognizable value, functional quality, and consumer expectations. Consumer satisfaction can be assessed by the cost paid and the quality received, the quality expected, and the consumers’ evaluation of the services. It was found that the socio-demographic elements of consumers do not have a decisive influence on the factors that determine service satisfaction and consumer satisfaction. It is also established that socio-demographic elements of consumers (farmer experience and insurance experience) have direct statistically significant but weak links with consumer satisfaction.


Keywords


consumer satisfaction; crop insurance; climate change; factors assessment; insurance system participants; insurance system development

Full Text:

PDF


References


Argento, D. & Peda, P. (2015). Interactions fostering trust and contract combinations in local public services provision. International Journal of Public Sector Management, 28(4/5), 335-351. doi:10.1108/IJPSM-08-2015-0154.

Batool, A., Sahi, C. A. (2019). Determinants of Financial Performance of Insurance Companies of USA and UK During Global Financial Crisis (2007–2016). International Journal of Economics and Business Administration, 5(1), 23-33.

Biener, C., Eling, M., Wirfs, J. H. (2016). The determinants of efficiency and productivity in the Swiss insurance industry. European Journal of Operational Research, 248(2), 703-714.

Bisikwa, B. (2021). An evaluation of customer retention strategies at UAP old mutual insurance [PhD thesis]. Makerere University Business School.

Cappiello, A. (2020). The digital (r) evolution of insurance business models. American Journal of Economics and Business Administration, 12(1), 1-13.

Cronk, B. C. (2019). How to use SPSS®: A step-by-step guide to analysis and interpretation. Routledge.

Evans, J. R., & Lindsay, W. M. (2013). Managing for quality and performance excellence. Cengage Learning.

Gąsiorkiewicz, L., & Kruk, M. (2019). Process Management in Insurance Companies. Management, 7(5), 486-495.

Ghazanfar, S., Qi-wen, Z., Abdullah, M., et al. (2015). Factors Hindering Pakistani Farmers’ Choices Towards Adoption of Crop Insurance. Journal of Northeast Agricultural University (English Edition), 22(2), 92-96.

Grigaliūnaitė, V., & Pilelienė, L. (2016). Emotional or rational? The determination of the influence of advertising appeal on advertising effectiveness. Scientific Annals of Economics and Business, 63(3), 391-414.

Grönroos, C. (2020). service marketing research priorities. Journal of Services Marketing, 34(3), 291-298.

Issalillah, F., & Khayru, R. K. (2022). The Effect of Insurance Premiums and Brand Image on Interest To Be An Insurance Customer. International Journal of Service Science, Management, Engineering, and Technology, 2(1), 31-35.

Kumar, A., & Gupta, H. (2019). Financial inclusion and farmers: Association between status and demographic variables. International Journal of Recent Technology and Engineering, 8(4), 5868-5879.

Limna, P., & Kraiwanit, T. (2022). Service quality and its effect on customer satisfaction and customer loyalty: A qualitative study of Muang Thai Insurance Company in Krabi, Thailand. Journal for Strategy and Enterprise Competitiveness, 1(2), 1-16.

Mare, C., Manaţe, D., Mureşan, G. M., et al. (2022). Machine Learning Models for Predicting Romanian Farmers’ Purchase of Crop Insurance. Mathematics, 10(19), 3625.

Mavroutsikos, C., Giannakas, K., & Walters, C. (2021). The role of premium subsidies in crop insurance. PLoS ONE, 16(4), e0250129.

Möhring, N., Dalhaus, T., Enjolras, G., & Finger, R. (2020). Crop insurance and pesticide use in European agriculture. Agricultural Systems, 184, 102902. https://doi.org/10.1016/j.agsy.2020.102902

Negara, M. R. A. (2023) Manage Insurance Customer Satisfaction with Premiums and Perceived Quality Assessments. Journal of Jabar Economic Society Networking Forum, 1(1).

Pachura, A., & Smolarek, M. (2019). Employer Branding in Creating of an Organization's Image-Example of SME's. Hradec Economic Days 2019. doi: 10.36689/uhk/hed/2019-02-019

Pallant, J. (2020). SPSS survival manual: A step-by-step guide to data analysis using IBM SPSS. McGraw-hill education (UK).

Pantouvakis, A., & Bouranta, N. (2013). The interrelationship between service features, job satisfaction and customer satisfaction: evidence from the transport sector. The TQM Journal, 25(2), 186-201.

Rusteika, M., & Skinulienė, L. (2023). Expectations of the Participants of the Crop Insurance System and Their Implementation. Agriculture, 13(3), 649.

Schofield, P., Coromina, L., Camprubi, R., & Kim, S. (2020). An analysis of first-time and repeat-visitor destination images through the prism of the three-factor theory of consumer satisfaction. Journal of Destination Marketing & Management, 17, 100463.

Shirsath, P., Vyas, S., Aggarwal, P., & Rao, K. N. (2019). Designing weather index insurance of crops for the increased satisfaction of farmers, industry and the government. Climate Risk Management, 25, 100189.

Yazdanpanah, M., Zamani, G. H., & Rezaei, M. K. (2009). Farmer's satisfaction about crop insurance: Application of path analysis. Journal of Agricultural Economics and Development, 17(2(66)), 139-164.

Yazdanpanah, M., Zamani, G. H., Hochrainer-Stigler, S., et al. (2013). Measuring satisfaction of crop insurance a modified American customer satisfaction model approach applied to Iranian Farmers. International Journal of Disaster Risk Reduction, 5, 19-27.

Zwier, S. (2021). Insurance-based marketing (IBM): a prevalent marketing strategy. Journal of Financial Services Marketing, 26(3), 160-168.




DOI: https://doi.org/10.24294/jipd.v8i6.4697

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Rolandas Drejeris, Martynas Rusteika

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.