Abstract
The COVID-19 epidemic has affected the daily activities of people all over the world as never before. To prevent the epidemic, most people have greatly reduced outings, especially those that require face-to-face or in groups. Beauty salons require physical consumption behavior in the store. Previously, it was an important consumption activity for many women. Moreover, the COM-B model was proposed in 2011, using ability, motivation, and opportunity as the research framework to explain human behavior. This research is aimed at members of the three-party matching APP in the beauty industry, including consumers, technicians, and shopkeepers. In the post-COVID-19 era, this study used COM-B as the framework to explore the APP user behaviors affected by capabilities, motivations, and opportunities. A total of 385 valid questionnaires were collected. This study used descriptive statistics to analyze the samples’ basic data, confirmatory factor analysis to test the reliability and validity of the questionnaire, and structural analysis to verify the research hypotheses. Finally, this study validated the behavior change model of the COM-B framework and obtained significant results for both direct and indirect effects between the variables. Among them, the motivation of pursuing beauty best explains the behavior of members on the app platform. In addition, the sense of fashion culture as a moderating variable also successfully strengthened the relationship between motivation and behavior. Under the influence of the COVID-19 epidemic, the motivation of beauty and fashion culture sense still plays an important role in influencing the consumption-related behaviors of hairdressing and beauty consumers.
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References
Liu, Y.-C., et al.: A locally transmitted case of SARS-CoV-2 infection in Taiwan. N. Engl. J. Med. 382(11), 1070–1072 (2020)
Wen, Y., Zhang, T., Du, Q.: Quantifying the Covid-19 Economic Impact (2020)
Drummond, M.F., et al.: Methods for the Economic Evaluation of Health Care Programmes. Oxford University Press (2015)
Shahcheraghi, S.H., et al.: An overview of vaccine development for COVID-19. Ther. Deliv. 12(3), 235–244 (2021)
Mishra, M.K.: The World after COVID-19 and its impact on Global Economy (2020)
Shereen, M.A., et al.: COVID-19 infection: Origin, transmission, and characteristics of human coronaviruses. J. Adv. Res. 24, 91 (2020)
Mehta, S., Saxena, T., Purohit, N.: The new consumer behaviour paradigm amid COVID-19: Permanent or transient? J. Health Manag. 22(2), 291–301 (2020)
Westerman, D., Spence, P.R., Van Der Heide, B.: Social media as information source: recency of updates and credibility of information. J. Comput.-Mediat. Commun. 19(2), 171–183 (2014)
Makridis, C., Wang, T.: Learning from friends in a pandemic: social networks and the macroeconomic response of consumption. SSRN J. (2020). Available at SSRN 3601500
Linardon, J., et al.: Do body checking and avoidance behaviours explain variance in disordered eating beyond attitudinal measures of body image? Eat. Behav. 32, 7–11 (2019)
Pikoos, T.D., et al.: The COVID-19 pandemic: psychological and behavioral responses to the shutdown of the beauty industry. Int. J. Eat. Disord. 53(12), 1993–2002 (2020)
Gerstell, E., et al.: How COVID-19 is changing the world of beauty (2020)
Sheth, J.: Impact of Covid-19 on consumer behavior: will the old habits return or die? J. Bus. Res. 117, 280–283 (2020)
Michie, S., Van Stralen, M.M., West, R.: The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement. Sci. 6(1), 1–12 (2011)
Howlett, N., et al.: A prospective study exploring the construct and predictive validity of the COM-B model for physical activity. J. Health Psychol. 24(10), 1378–1391 (2019)
Michie, S., et al.: ABC of Behaviour Change Theories. Silverback Publishing (2014)
Heffernan, E., et al.: Understanding the psychosocial experiences of adults with mild-moderate hearing loss: an application of Leventhal’s self-regulatory model. Int. J. Audiol. 55(sup3), S3–S12 (2016)
Michie, S., et al.: Slowing down the covid-19 outbreak: changing behaviour by understanding it. BMJ (2020)
Kaiser, S.B., Green, D.N.: Fashion and Cultural Studies. Bloomsbury Publishing (2021)
Kawamura, Y.: Fashionology: An Introduction to Fashion Studies. Bloomsbury Publishing (2018)
Oliver, M.B., et al.: Entertainment effects: media appreciation. The International Encyclopedia of Media Effects, p. 1–8 (2017)
Davis, F.: Imaginary social worlds: a cultural approach. JSTOR 92(1), 219–221 (1986)
Giles, D.: Illusions Immortality: A Psychology of Fame and Celebrity. Macmillan International Higher Education (2000)
Wirth, W., Hofer, M., Schramm, H.: Beyond pleasure: exploring the eudaimonic entertainment experience. Hum. Commun. Res. 38(4), 406–428 (2012)
Grant, K.: Knowledge management: an enduring but confusing fashion. Lead. Issues Knowl. Manage. 2, 1–26 (2015)
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: Extrinsic and intrinsic motivation to use computers in the workplace 1. J. Appl. Soc. Psychol. 22(14), 1111–1132 (1992)
Cane, J., O’Connor, D., Michie, S.: Validation of the theoretical domains framework for use in behaviour change and implementation research. Implement. Sci. 7(1), 1–17 (2012)
Stanton, J.M., et al.: Analysis of end user security behaviors. Comput. Secur. 24(2), 124–133 (2005)
Welters, L., Lillethun, A.: Fashion History: A Global View. Bloomsbury Publishing (2018)
Hsieh, H.-L., et al.: A study of personal health record user’s behavioral model based on the PMT and UTAUT integrative perspective. Int. J. Environ. Res. Public Health 14(1), 8 (2017)
Wang, S.J., Huang, H.C., Yang, C.Y.S.: To say or not to say: the mediating role of psychological safety and self-efficacy on the influence of social capital on users’ knowledge sharing behavior in social network sites. NTU Manage. Rev. 26(2), 37–72 (2016)
Abd Rahman, A., Asrarhaghighi, E., Ab Rahman, S.: Consumers and Halal cosmetic products: knowledge, religiosity, attitude and intention. J. Islamic Mark 6(1), 148–163 (2015)
James, T.L., Deane, J.K., Wallace, L.: An application of goal content theory to examine how desired exercise outcomes impact fitness technology feature set selection. Inf. Syst. J. 29(5), 1010–1039 (2019)
Ma, L., Du, X., Liu, J.: Intrinsic and extrinsic value for English learning: mediation effects of self-efficacy in Chinese EFL context. Chin. J. Appl. Linguist. 41(2), 150–168 (2018)
Thornton, S.C., Henneberg, S.C., Naudé, P.: An empirical investigation of network-oriented behaviors in business-to-business markets. Ind. Mark. Manage. 49, 167–180 (2015)
McCutcheon, L.E., Lange, R., Houran, J.: Conceptualization and measurement of celebrity worship. Br. J. Psychol. 93(1), 67–87 (2002)
Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18(1), 39–50 (1981)
Nunnally, J.C.: Psychometric Theory 3E. Tata McGraw-hill Education (1994)
Wetzels, M., Odekerken-Schröder, G., Van Oppen, C.: Using PLS path modeling for assessing hierarchical construct models: guidelines and empirical illustration. MIS Quar. 33, 177–195 (2009)
Chin, W.W.: Commentary: issues and opinion on structural equation modeling, JSTOR. MIS Quar. 22(1), 7–16 (1998)
Ringle, C.M.: GĂĽtemaĂźe fĂĽr den Partial-least-squares-Ansatz zur Bestimmung von Kausalmodellen. Univ. Hamburg, Inst. fĂĽr Industriebetriebslehre und Organisation (2004)
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Chang, YW., Hsu, Y. (2022). Post-COVID-19 Era Fashion Culture Perception Impacting on Beauty Consumption Behavior Change. In: Rau, PL.P. (eds) Cross-Cultural Design. Applications in Business, Communication, Health, Well-being, and Inclusiveness. HCII 2022. Lecture Notes in Computer Science, vol 13313. Springer, Cham. https://doi.org/10.1007/978-3-031-06050-2_16
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