Influence of Factors Affecting People 's Life and Health Insurance Purchase Decision-Making Process in Bangkok during Covid 19 Pandemic Situation

Main Article Content

Tanapat Srilerdfa
Neeranuch Nuengwang

Abstract

The objectives of this research are (1) study demographic characteristics that affect the decision-making process for purchasing life and health insurance for the people of Bangkok during Covid-19 Pandemic Situation. (2) study the influence of factors affecting the decision-making process of purchasing life and health insurance of Bangkok residents during the Covid-19 pandemic situation. (3) develop a causal relationship model of external factors, internal factors, and 4c marketing mix factors that affect the decision-making process of purchasing life and health insurance for Bangkok residents during the Covid-19 pandemic situation. The research design is a mixed method consisting of quantitative and qualitative research. The population used in the quantitative research was a population of 400 people who had purchased life and health insurance in Bangkok by convenience sampling and distributed questionnaires online. The qualitative research used in-depth interviews with 20 life insurance executives and agents. Data were analyzed using descriptive statistics including frequency distribution, percentage, mean, standard deviation and analyzing hypotheses with inferential statistics using the Pearson correlation coefficient, structural equation model analysis and content analysis for qualitative data.


The research results found that (1) the population with different incomes had different decision-making processes for purchasing life insurance and health insurance during the COVID-19 outbreak situation in 2020 – 2021 (p< 0.05), while the population with different ages and incomes had different decision-making processes for purchasing life insurance and health insurance during the COVID-19 outbreak situation in 2022 - October 2023 (p< 0.05). (2) The decision-making process is influenced by the 4C marketing mix factors, internal factors and external factors = 0.554, 0.339, 0.082 (2020 - 2021 outbreak) and 0.681, 0.215, 0.102 (2022 - October 2023 outbreak) respectively (p<0.05). It can be concluded that all 3 factors show a direct and positive influence on the decision-making process for purchasing life insurance and health insurance in the COVID-19 outbreak situation. (3) The relationship model between external factors, internal factors, 4C marketing mix factors, and the decision-making process for purchasing life insurance and health insurance is consistent with empirical data with a chi-square statistic value of 166.134. The relative chi-square statistic is equal to 1.932. The GFI index is equal to 0.953. The AGFI index is equal to 0.926. The RMSEA index is equal to 0.048 (2020 - 2021 outbreak). The chi-square statistic is equal to 169.436. The relative chi-square statistic is equal to 2.092. The GFI index is equal to 0.951. The AGFI index is equal to 0.918 RMSEA value equal to 0.052 (2022 outbreak - October 2023). Predictive coefficient (R2) of the decision-making process for purchasing life insurance and health insurance. (Outbreak 2020 - 2021) is equal to 84% and 88% (Outbreak 2022 - October 2023) or the variables in the model can explain 84% and 88% of the variance in the decision-making process for purchasing life insurance and health insurance.

Downloads

Download data is not yet available.

Article Details

How to Cite
Srilerdfa, T., & Nuengwang, N. (2025). Influence of Factors Affecting People ’s Life and Health Insurance Purchase Decision-Making Process in Bangkok during Covid 19 Pandemic Situation. Electronic Journal of Open and Distance Innovative Learning (e-JODIL), 15(2), 187–214. retrieved from https://so01.tci-thaijo.org/index.php/e-jodil/article/view/279426
Section
Research article

References

Allodi, E., Cervellati, E.M., & Stella, G.P. (2020). A New Proposal to Define Insurance Literacy: Paving the Path Ahead. Risk Governance and Control Financial Markets & Institutions, 10(4), 22–32. Retrieved from https://www.researchgate.net/publication/346630532_A_new_proposal_to_define_insurance_literacy_Paving_the_path_ahead

Bank of Thailand. (2020). Results of the Monetary Policy Committee Meeting (Special Meeting). Retrieved from https://www.bot.or.th/content/dam/bot/documents/th/news-and-media/news-pdf/2020/n1463t.pdf

Bank of Thailand. (2022). Results of the Monetary Policy Committee Meeting No.4/2022. Retrieved December 1, 2023, from https://www.bot.or.th/th/news-and-media/news/news-20220810.html

Bank of Thailand. (2022). Results of the Monetary Policy Committee Meeting No.5/2022. Retrieved December 1, 2023, from https://www.bot.or.th/th/news-and-media/news/news-20220928.html

Bank of Thailand. (2022). Results of the Monetary Policy Committee Meeting No.6/2022. Retrieved December 1, 2023, from https://www.bot.or.th/th/news-and-media/news/news-20221130-2.html

Baranauskas, G., & Raisiene, A. G. (2021). Reflections on the Customer Decision-Making Process in the Digital Insurance Platforms: An Empirical Study of the Baltic Market. Applied Sciences, 11(18), 8524. Retrieved from https://www.researchgate.net/publication/354573578_Reflections_on_the_Customer_Decision-Making_Process_in_the_Digital_Insurance_Platforms_An_Empirical_Study_of_the_Baltic_Market

Businessplus. (2022). Revealing the Top 10 Life insurance Companies with the Highest Market Share: Check the Financial Strength of the Top 4 Companies and Find CAR Ratios Over 300%. Retrieved May 2, 2025, from https://www.thebusinessplus.com/insurance/

Carniel, A. (2022). The Ultimate Guide to Marketing Mix: 4Ps, 7Ps, 8Ps, 4Cs, 7Cs. Retrieved March 30, 2022, from https://www.albertocarniel.com/post/marketing-mix

Department of Disease Control. (2020). Situation of Coronavirus Disease 2019. Retrieved December 1, 2023, from https://ddc.moph.go.th/uploads/files/2017420210820025238.pdf

Department of Disease Control. (2024). DDC COVID-19 Interactive Dashboard. Retrieved January 15, 2025, from https://ddc.moph.go.th/covid19-dashboard/

Department of Older Persons. (2023). General Elderly Information. Retrieved January 15, 2024, from https://www.dop.go.th/th/statistics_page?cat=1&id=1

Dipti, S., & Baser, N. (2022). Influence of Fear on Purchase of Health Insurance. Journal of Financial Services Marketing, 29(2), 354-363. Retrieved December 1, 2023, from https://www.researchgate.net/publication/367411414_Influence_of_fear_on_purchase_of_health_insurance

Division of Health Economics and Health Security. (2020). Criteria, Methods and Conditions for Determining the Cost of Emergency Patient Care for Dangerous Communicable Diseases under the Communicable Diseases Act in the Case of Coronavirus Disease 2019 or COVID-19. Retrieved December 1, 2023, from https://dhes.moph.go.th/?p=12382

Dodamgoda, N., & Canagasabey, D. (2019). Factors Driving the Purchase of Life Insurance Among Millennials in Sri Lanka. International Journal of Business Marketing and Management (IJBMM), 4(5), 49-61. Retrieved December 1, 2023, from http://www.ijbmm.com/paper/May2019/424307930.pdf

Guan, L. P., Yusuf, D. H. M., & Ghani, M. R. A. (2020). Factors Influencing Customer Purchase Intention Towards Insurance Products. International Journal of Business and Management, 4(5), 70-79. Retrieved from https://www.researchgate.net/publication/348265698_Factors_Influencing_Customer_Purchase_Intention_Towards_Insurance_Products

Jarasnirattisai, S., Uahiranyanon, B., & Nagamatsu, M. (2024). Causal Factors Influencing Online Insurance Purchasing Decision of An Insurance Company in Bangkok. Journal of Setthawit Review, 4(1), 159-164. Retrieved May 2, 2025, from https://so12.tci-thaijo.org/index.php/stw/article/view/780

Karin, K., & Audtharin, R. (2023). Economic and Social Impacts from the COVID-19 Pandemic Affecting Personal Financial Planning of the People in Mueang District Buriram Province. Journal of Humanities and Social Sciences Nakhon Phanom University, 13(3), 65-80. Retrieved from https://so03.tci-thaijo.org/index.php/npuj/article/view/269285/181215

Khanna, K., Patil, D. Y., & Kotle, V. (2022). Study of Factors Influencing Consumer Perception towards Health Insurance Policies During COVID-19 Pandemic. Journal of Positive School Psychology, 6(6), 7309-7315. Retrieved December 1, 2023, from https://www.researchgate.net/publication/362519593_Study_Of_Factors_Influencing_Consumer_Perception_Towards_Health_Insurance_Policies_During_COVID-19_Pandemic

Kongjam, N., Rattanapibool, J., Apacuppakul, R., Koedkaeo, T., Saebing, R., Wongsuwatt, S., & Thaothampitak, W. (2021). The Impact of COVID-19 on Perceived Risk and Insurance Purchase Demands of People in Trang Province. Creative Business and Sustainability Journal, 43(2), 1–20. Retrieved December 1, 2023, from https://so01.tci-thaijo.org/index.php/CBSReview/article/view/248354

Kotler, P., & Armstrong, G. (1994). Principles of Marketing (6th ed.). Frenchs Forest, NSW: Pearson Education.

Kotler, P., & Keller, K. L. (2012). Marketing Management (14th ed.). London: Pearson Education.

Lauterborn, R. (1990). New Marketing Litany: 4Pc Pass; C-Words Take Over. Retrieved from from https://solvinnov.com/literature/new-marketing-litany-four-ps-passe-c-words-take-over/

Lee, C., & Chun, H. (2016) “An Analysis of Determinants of Individual’s Pension Purchase Using Structural Equation Model,” Journal of the Korean Data and Information Science Society, 27(2), 437-449, Retrieved from https://doi.org/10.7465/jkdi.2016.27.2.437

McCarthy, E. J. (1960). Basic Marketing: A managerial Approach. Homewood, IL: Richard D. Irwin, Inc.

Mathur, V. (2022). A Guide to Demographics & Demographic Segmentation. Retrieved December 1, 2023, from https://www.analyticssteps.com/blogs/guide-demographics-demographic-segmentation

Maurya, P. K., Bansal, R., Ansari, Y., & Mishra, A. K. (2023). Behavioural Determinants of Health Insurance Buying Intention of Missing Middle Consumers: A Study During Covid-19 Pandemic. European Economic Letters (EEL), 13(5), 1082-1098. https://doi.org/10.52783/eel.v13i5.874

Phiosawang, W. (2016). Studying Attitude of the Life and Health Insurance Usage Behavior among Women Generation Y in Bangkok (Master’ s thesis). Mahidol University. Retrieved December 1, 2023 from https://archive.cm.mahidol.ac.th/handle/123456789/1885

Pribwai, S., & Sunanchai, J. (2016). Sales Practices Customer Management and Providing Life Insurance Advice. Retrieved December 1, 2023, from https://www.tlaa.org/download/file/คู่มือหลักสูตรขอรับฯ.pdf

Ramlall, I. (2016), Applied Structural Equation Modelling for Researchers and Practitioners. In Prelims (pp.1-10). Emerald Group Publishing Limited. Retrieved June 1, 2022, from https://doi.org/10.1108/978-1-78635-883-720161002

Samchimchom, K. (2015). Marketing Mix Factors Influencing the Purchasing Decision of Insurance of the Elderly in Banglen District, Nakhon Pathom Province (Master’ s thesis). Silpakorn University. Retrieved December 1, 2023 from http://ithesis-ir.su.ac.th/dspace/handle/123456789/187

Schumacker, R. E., & Lomax, R. G. (2010). A Beginner’s Guide to Structural Equation Modeling (3rd ed.). New Jersey: Lawrence Erlbaum Associates

Siangchaksai, W. (2021). Marketing Mix Factors Related to Consumer Decision Making in Accumulated Life Insurance Policy of Generation Y in Bangkok (Master’ s thesis). Srinakharinwirot University. Retrieved December 1, 2023 from http://ir-ithesis.swu.ac.th/dspace/bitstream/123456789/1795/1/gs591130358.pdf

Sirikachornkij, N. (2021). Motivation and Attitude Toward Consumers’ Purchasing Decision of Pension Life Insurance, Muang Thai Life Assurance PCL. in the Bangkok Metropolitan Area (Master’ s thesis). Srinakharinwirot University. Retrieved December 1, 2023, from http://thesis.swu.ac.th/swuthesis/Mark/Nutthapol_S.pdf

Stankevich, A. (2016). Decision-Making Process. Retrieved December 1, 2023, from https://www.researchgate.net/publication/320065704_Title_Decision-Making_Process

Sudirjo, F., & Sulistiyani, S. (2023). Purchasing Decision Behaviours of Health Insurance Products and The Determinants of Competitive Advantage. Indonesian Journal of Business and Entrepreneurship, 9(1), 163-176. https://doi.org/10.17358/ijbe.9.1.163

Summanan, R., & Thitiluck, D. (2023). Post-retirement Preparation for an Aging Society: A Case Study of Phitsanulok Municipality. Journal of Digital Business and Social Sciences, 9(1), 1-18. Retrieved December 1, 2023 from https://rsujournals.rsu.ac.th/index.php/jdbs/article/view/2773/2335

Tam, P. T. (2020). Factors Affecting the Decision to Purchase Life Insurance Products in Vietnam. International Journal of Supply Chain Management, 9(5), 1731-1740. Retrieved May 2, 2025, from https://ojs.excelingtech.co.uk/index.php/IJSCM/article/view/5829

Thamtarana, K., & Sornsaruht, P. (2024). Antecedents to Thai Consumer Insurance Policy Purchase Intention: A Structural Equation Model Analysis. SAGE Open, 14(1). Retrieved May 2, 2025, from https://doi.org/10.1177/21582440241239474

The Thai Life Assurance Association. (2020). The Thai Life Assurance Association predicts that life insurance premiums in 2020 will not grow. Retrieved December 1, 2023, from https://www.tlaa.org/page_bx.php?cid=23&c%20%20name%20=&cno=1062

The Thai Life Assurance Association. (2022). The Thai Life Assurance Association would like to clarify the facts regarding the disbursement criteria for people infected with the Coronavirus Disease 2019 (Covid 19) in the life insurance business sector. Retrieved December 1, 2023, from https://www.tlaa.org/page_bx.php?cid=23&cname=&cno=1384&lang=thai

The Thai Life Assurance Association. (2022). The life insurance sector reveals figures for the first quarter of 2022. Retrieved December 1, 2023, from https://www.tlaa.org/page_bx.php?cid=23&cname=&cno=1419

The Thai Life Assurance Association. (2022). Life insurance business sector reveals figures for the first half of 2022. Retrieved December 1, 2023, from https://www.tlaa.org/page_bx.php?cid=23&cname=&cno=1446

Thongjun, T. (2022). Factors Affecting the Health Insurance Purchase Decision Process of Consumers in Bangkok (Master’ s thesis). Dhurakij Pundit University. Retrieved December 1, 2023 from https://libdoc.dpu.ac.th/thesis/Thanapan.Thon.pdf

Thongphetnin, W. (2021). Efficiency of Marketing Communication and Environment Factors Affecting the Purchase Demands of Insured and Modern Life Insurance (Master’ s thesis). Silpakorn University. Retrieved December 1, 2023 from http://ithesis-ir.su.ac.th/dspace/bitstream/123456789/3667/1/61602324.pdf

Wongphatsathit, T., & Wisetprapha, P. (2021). Factors Influencing the Decision to Purchase of Life Insurance in COVID-19 Situation of Consumer in Bangkok. Bangkok: Ramkhamhaeng University.

Wutisubtaweesuk, S. (2017). The Study of Factors Affecting the Purchasing Decision of Life Assured through Commercial Banks (Bancassurance) in Bangkok Area (Master’ s thesis). Mahidol University. Retrieved December 1, 2023 from https://archive.cm.mahidol.ac.th/handle/123456789/2592