The Influence of Consumer Cognition on the Purchase Intention of Commercial Long-term Care Insurance: A Case Study of Henan Province, China

Main Article Content

Xiaojuan Yu
yue huang

Abstract

Commercial long-term care insurance (CLTCI) is a type of insurance that provides consumers with long-term care services. Promoting CLTCI can not only provide insurance companies with new growth points for performance but also serve as an important measure for the government to alleviate the challenges of population aging. However, as the main purchasers of CLTCI, the impact mechanism of consumer cognition on their intention to purchase CLTCI remains unclear. This study explores the influence of consumer cognition on their intention to purchase CLTCI. A total sample of consumers aged 45-59 years who are permanent residents of Henan Province was selected, and 400 valid questionnaires were collected using the convenience sampling method. Structural equation modeling (PLS-SEM) was employed for empirical analysis. The results show that: 1) Consumer cognition has a significant impact on their purchase intention (β=0.121, p<0.01); 2) Consumer cognition has a significant impact on their purchase attitude (β=0.721, p<0.001); 3) Purchase attitude has a significant impact on purchase intention (β=0.764, p<0.001); 4) Purchase attitude plays a mediating role in the influence of consumer cognition on purchase intention (β=0.551, p<0.001).

Article Details

How to Cite
Yu, X., & huang, yue. (2025). The Influence of Consumer Cognition on the Purchase Intention of Commercial Long-term Care Insurance: A Case Study of Henan Province, China. Arts of Management Journal, 9(3), 89–101. retrieved from https://so02.tci-thaijo.org/index.php/jam/article/view/278912
Section
Research Articles

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

Ajzen, I., & Driver, B. L. (1991). Prediction of leisure participation from behavioral, normative, and control beliefs: an application of the theory of planned behavior. Leisure Sciences, 13(3), 185–204. https://doi.org/10.1080/01490409109513137

Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Prentice-Hall.

Ajzen, I., & Madden, T. J. (1986). Prediction of goal-directed behavior: attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22(5), 453- 474. https://doi.org/10.1016/0022-1031(86)90045-4

Brown, J. R., Goda, G. S., & McGarry, K. (2012). Long-term care insurance demand limited by beliefs about needs, concerns about insurers, and care available from family. Health Affairs, 31(6), 1294-1302. https://doi.org/10.1377/hlthaff.2011.1307

Chen, B., Tu, S., & Wang, Q. (2024). Study on the influencing factors of long-term care insurance participation intention of residents in Nanjing city based on structural equation model. The Chinese Health Service Management, 2, 161–165. https://qikan.cqvip.com/Qikan/Article/Detail?id=7111538303

Ebrahim, N. B., Davis, S., & Tomaka, J. (2016). Attitude as a mediator between acculturation and behavioral intention. Public Health Nursing, 33(6), 558-564. https://doi.org/10.1111/phn.12281

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi-org.1241.top/10.1177/002224378101800104

Guenther, P., Guenther, M., Ringle, C. M., Zaefarian, G., & Cartwright, S. (2023). Improving PLS-SEM use for business marketing research. Industrial Marketing Management, 111, 127–142. https://doi.org/10.1016/j.indmarman.2023.03.010

Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: a workbook (pp. 197). Springer Nature.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202

Hair, Jr, J. F., Sarstedt, M., Matthews, L. M., & Ringle, C. M. (2016). Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I-method. European Business Review, 28(1), 63-76. https://doi-org.1498.top/10.1108/EBR-09-2015-0094

Hardin, A. M., Chang, J. C. J., & Fuller, M. A. (2008). Formative vs. reflective measurement: comment on Marakas, Johnson, and Clay (2007). Journal of the Association for Information Systems, 9(9), 3. https://doi.org/10.17705/1jais.00170

Hines, J. M., Hungerford, H. R., & Tomera, A. N. (1987). Analysis and synthesis of research on responsible environmental behavior: a meta-analysis. The Journal of Environmental Education, 18(2), 1-8. https://doi.org/10.1080/00958964.1987.9943482

Hornsey, M. J. (2008). Social identity theory and self-categorization theory: a historical review. Social and Personality Psychology Compass, 2(1), 204-222. https://doi.org/10.1111/j.1751-9004.2007.00066.x

Kazaure, M. A. (2019). Extending the theory of planned behavior to explain the role of awareness in accepting Islamic health insurance (takaful) by microenterprises in northwestern Nigeria. Journal of Islamic Accounting and Business Research, 10(4), 607-620.

https://doi-org.1498.top/10.1108/JIABR-08-2017-0113

Li, X. S. (2024). Legal interpretation, value guidance and regulation system of actively responding to population aging. Hebei Law Science, (4), 19. https://doi.org/10.16494/j.cnki.1002-3933.2024.04.007

Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 55.

Lin, H., & Prince, J. T. (2016). Determinants of private long-term care insurance purchase in response to the partnership program. Health Services Research, 51(2), 687-703. https://doi.org/10.1111/1475-6773.12353

Noon, A., Sing, J. S. K., & Noon, S. (2020). Intention to Purchase Counterfeit Products in an Islamic Country. A Quantitative Study among Females in Lahore, Pakistan. International Journal of Psychosocial Rehabilitation, 24(2), 923-938. https://doi.org/10.61841/md6cxn76

Rahman, M. S., Bag, S., Hossain, M. A., Abdel Fattah, F. A. M., Gani, M. O., & Rana, N. P. (2023). The new wave of AI-poweredluxury brands online shopping experience: the role of digital multisensory cues and customers’ engagement. Journal of Retailing and Consumer Services, 72, Article 103273. https://doi.org/10.1016/j.jretconser.2023.103273

Rotter, J. B. (1967). A new scale for the measurement of interpersonal trust. Journal of Personality, 35(4), 651–665. https://doi.org/10.1111/j.1467-6494.1967.tb01454.x

Sun, Z. H. (2020). Research on the driving mechanism of Chinese residents’ willingness to participate in long-term care insurance [Doctoral dissertation, Tianjin University].

Tang, G. (2023). Analysis of the current status and prospects of commercial long-term care insurance in China. Hebei Qi Ye, (2), 37–39. https://doi.org/10.19885/j.cnki.hbqy.2023.02.025

Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: a test of competing models. Information Systems Research, 6(2), 144-176. https://doi.org/10.1287/isre.6.2.144

United Nations, Department of Economic and Social Affairs, Population Division. (2022). World population prospects 2022 (ST/ESA/SER.A/426). https://population.un.org/wpp/publications/Files/WPP2022_Highlights.pdf

Wang, Y. S., Wu, M. C., & Wang, H. Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92-118. https://doi.org/10.1111/j.1467-8535.2007.00809.x

Wu, Q. (2021). The influencing factors and formation mechanism of counterfeit luxury goods purchase intention[Doctoral dissertation, Jilin University].

Zhang, B., Lai, K., Wang, B., & Wang, Z. (2019). From Intention to Action: How Do Personal Attitudes, Facilities Accessibility, and Government Stimulus Matter for Household Waste Sorting?. Journal of Environmental Management, 233, 447-458. https://doi.org/10.1016/j.jenvman.2018.12.059