Factors Influencing Residents' Consumption Behavior of Health Care Products in the Post-Epidemic Era
Main Article Content
Abstract
The global COVID-19 pandemic has significantly impacted consumer behavior, particularly in the consumption of healthcare products. This study analyzes how the pandemic influenced consumer spending and behavior regarding healthcare products in Shandong Province, China. By integrating the Stimulus-Organism-Response (SOR) model with the Technology Acceptance Model (TAM), the study examines the roles of perceived risk, usefulness, ease of use, and advertising in shaping consumer healthcare consumption behavior. The findings reveal that perceived risk and advertising significantly enhance the perceived usefulness and compliance tendency towards healthcare products, while social pressure negatively affects the perceived ease of use but increases risk perception. These insights provide valuable theoretical and practical implications for understanding consumer behavior during public health crises, guiding policymakers and marketers in designing effective health communication strategies.
Article Details
References
Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888-918.
Arnould, E. J., & Thompson, C. J. (2005). Consumer Culture Theory (CCT): Twenty Years of Research. Journal of Consumer Research, 31(4), 868-882.
Blackwell, R. D., Miniard, P. W., & Engel, J. F. (2006). Consumer Behavior (10th ed.). Thomson/South-Western.
Breakwell, G. M., Fino, E., & Jaspal, R. (2021). The COVID-19 Preventive Behaviors Index: Development and validation in two samples from the United Kingdom. Evaluation & the Health Professions, 44(1), 77-86.
Cameron, E. E., Joyce, K. M., Delaquis, C. P., Reynolds, K., Protudjer, J. L. P., & Roos, L. E. (2020). Maternal psychological distress & mental health service use during the COVID-19 pandemic. Journal of Affective Disorders, 276, 765-774.
Chen, H., Qian, W., & Wen, Q. (2021). The Impact of the COVID-19 Pandemic on Consumption: Learning from High-Frequency Transaction Data. AFA 2021 Meetings Paper.
Chou, J., Kuo, N.-F., & Peng, S.-L. (2004). Potential Impacts of the SARS Outbreak on Taiwan’s Economy. Asian Economic Papers, 3(1), 84-99.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2001). Atmospheric qualities of online retailing: A conceptual model and implications. Journal of Business Research, 54(2), 177-184.
Engel, J. F., Blackwell, R. D., & Kollat, D. T. (1968). Consumer Behavior. Holt, Rinehart and Winston.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. *Journal of Marketing Research*, 18(1), 39-50.
Gefen, D. (2003). TAM or just plain habit: A look at experienced online shoppers. Journal of Organizational and End User Computing, 15(3), 1-13.
Gerdtham, U. G. (1993). The impact of aging on health care expenditure in Sweden. Health Policy, 24(1), 1-8.
Goda, G. S., Shoven, J. B., & Slavov, S. N. (2011). Differential Mortality by Income and Social Security Progressivity. In D. A. Wise (Ed.), Explorations in the Economics of Aging (pp. 189-204). University of Chicago Press.
Grossman, M. (1972). On the concept of health capital and the demand for health. Journal of Political Economy, 80(2), 223-255.
He, G., Pan, Y., & Tanaka, T. (2020). The short-term impacts of COVID-19 lockdown on urban air pollution in China. Nature Sustainability, 3(12), 1005-1011.
Institute of Medicine (US). (2010). For the Public's Health: The Role of Measurement in Action and Accountability. National Academies Press.
Kazunobu, H., & Hiroshi, M. (2020). The Impact of COVID-19 on Global Production Networks: Evidence from Japanese Multinational Firms. Asian Economic Papers, 20(2), 1-32.
Kenkel, D. S. (1990). Consumer health information and the demand for medical care. The Review of Economics and Statistics, 72(4), 587-595.
Kim, J., & Lennon, S. J. (2010). E-atmosphere, emotional, cognitive, and behavioral responses. Journal of Fashion Marketing and Management: An International Journal, 14(3), 412-428.
Kotler, P. (2008). Marketing Management (13th ed.). Pearson Prentice Hall.
Mehrabian, A., & Russell, J. A. (1974). An Approach to Environmental Psychology. The MIT Press.
Newhouse, J. P. (1977). Medical-care expenditure: A cross-national survey. The Journal of Human Resources, 12(1), 115-125.
Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change. The Journal of Psychology, 91(1), 93-114.
Sheth, J. (2020). Impact of Covid-19 on consumer behavior: Will the old habits return or die? Journal of Business Research, 117, 280-283.
Solomon, M. R. (2005). Consumer Behavior: Buying, Having, and Being (7th ed.). Prentice Hall.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Vieira, V. A. (2012). Stimuli-organism-response framework: A meta-analytic review in the store environment. Journal of Business Research, 66(9), 1420-1426.
Wilson, R. T., & Till, B. D. (2020). Effects of positive emotion and personal relevance on health product advertisement effectiveness. Journal of Advertising, 49(1), 23-34.
Winslow, C.-E. A. (1920). The Untilled Fields of Public Health. Science, 51(1306), 23-33.
Wong, S. Y. S., Zhang, D., Sit, R. W. S., Yip, B. H. K., Chung, R. Y. N., Wong, C. K. M., Chan, D. C. C., Sun, W., Kwok, K. O., Mercer, S. W., & Griffiths, S. (2021). Impact of COVID-19 on loneliness, mental health, and health service utilization: A prospective cohort study of older adults with multimorbidity in primary care. British Journal of General Practice, 71(704), e817-e824.
Zimmerman, R. S., Palmgreen, P. M., & Noar, S. M. (2021). Health advertising: New insights and directions for research. Journal of Health Communication, 26(2), 129-142.