Effects of Risk Perception on Climate Change Special Events: A Focus on Value-Attitude-Behavior Model
DOI:
https://doi.org/10.17010/ijom/2024/v54/i9/174395Keywords:
climate change event
, political orientation, risk perception, severity perception, and value-attitude-behavior (VAB) model.Paper Submission Date
, September 20, 2023, Paper sent back for Revision, March 13, 2024, Paper Acceptance Date, May 5, Paper Published Online, September 14, 2024Abstract
Purpose : This study explored the consumer effect of climate change-themed public events. The value-attitude-behavior (VAB) model was used to model and validate the role of climate change risk perception.
Methodology : An analysis of hierarchical regression was performed on the data gathered from the survey. The data analysis tool utilized was SPSS.
Findings : As a result of the analysis, personal susceptibility and social susceptibility had a positive effect on the value of climate change-themed public events. Severity perception was also found to affect event value. Politically progressive orientation, social susceptibility, and severity perception were influencing event attitudes. It was found that political orientation and social susceptibility affected event participation behavior.
Practical Implications: The study’s findings have consequences for how attendees’ perceptions of danger are accounted for in the VAB model for public events with a climate change theme. Moreover, event planning has practical ramifications since, for an event with a particular subject, how the theme is perceived is crucial.
Originality : The current work, in contrast to other research on risk perception, constructs an extended VAB model that includes political orientation in addition to risk perception.
Downloads
Published
How to Cite
Issue
Section
References
Ahn, S., & Yang, S. (2018). Understanding consumer behavior on shared accommodation based on value-attitude-behavior hierarchy model: Focusing on Airbnb. Journal of Consumption Culture, 21(2), 97–119.
An, J. A., & Jung, H. S. (2021). The effect of political ideology on consumer complaints and dispute behaviors: The moderating effects of company power and fairness perception in the relationships. Journal of Marketing Management Research, 26(3), 1–27.
Bak, H.-J., & Huh, J.-Y. (2012). Who are the skeptics of climate change?: The effects of information seeking, confidence in science, and political orientations on public perceptions of climate change. ECO, 16(1), p. 274. https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE01908657
Beck, U. (1992). Risk society: Towards a new modernity. SAGE Publication Ltd. https://uk.sagepub.com/en-gb/eur/risk-society/book203184
Botterill, L., & Mazur, N. (2004). Risk and risk perception: A literature review. Rural Industries Research and Development Corporation.
Davison, W. P. (1983). The third-person effect in communication. Public Opinion Quarterly, 47, 1–15. https://doi.org/10.1086/268763
Ducoffe, R. H. (1996). Advertising value and advertising on the web. Journal of Advertising Research, 36(5), p. 21. https://link.gale.com/apps/doc/A76914157/AONE?u=anon~c995bdf&sid=googleScholar&xid=195a9119
Fazio, R. H., & Zanna, M. P. (1978). On the predictive validity of attitudes: The roles of direct experience and confidence. Journal of Personality, 46(2), 228–243. https://doi.org/10.1111/j.1467-6494.1978.tb00177.x
Han, B., Kim, H. J., & Kim, Y. W. (2021). A big-data analysis of media reports on climate change - focusing on differences by time and newspapers' political orientations. Crisisonomy, 17(6), 55–76. https://m.earticle.net/Article/A401316
Han, S. H., Nguyen, B., & Lee, T. J. (2015). Consumer-based chain restaurant brand equity, brand reputation, and brand trust. International Journal of Hospitality Management, 50, 84–93. https://doi.org/10.1016/j.ijhm.2015.06.010
Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind, (3rd ed.). McGraw-Hill Education.
Holbrook, M. B., & Batra, R. (1987). Assessing the role of emotions as mediators of consumer responses to advertising. Journal of Consumer Research, 14(3), 404–420. https://www.jstor.org/stable/2489501
Homer, P. M., & Kahle, L. R. (1988). A structural equation test of the value-attitude-behavior hierarchy. Journal of Personality and Social Psychology, 54(4), 638–646. https://doi.org/10.1037/0022-3514.54.4.638
Hong, D., & Jun, J. W. (2020). Effects of government trust on prevention intention of college students: A focus on MERS in Korea. Journal of Practical Research in Advertising and Public Relations, 13(2), 161–182.
Jacobs, L., & Worthley, R. A. (1999). A comparative study of risk appraisal: A new look at risk assessment in different countries. Environmental Monitoring and Assessment, 59(2), 225–247. https://doi.org/10.1023/A:1006163606270
Ju, Y. K. (2013). News media's political orientation and their framing of climate change in South Korea. Journal of Communication Science, 13(3), 591–626.
Jung, H., & Han, H. S. (2017). Impact of travel motivations on repurchase intention in the cruise industry: Application of the value-attitude-behavior model. Korean Journal of Hospitality & Tourism, 26(3), 19–37.
Ko, M. – H., & Lee, C. – K. (2020). The impact of airline passenger's altruism on selfie posting behavioral intention using model of goal-directed behavior. Journal of Tourism and Leisure Research, 32(5), 407–426.
Kober, S. E., & Neuper, C. (2013). Personality and presence in virtual reality: Does their relationship depend on the used presence measure? International Journal of Human-Computer Interaction, 29(1), 13–25. https://doi.org/10.1080/10447318.2012.668131
Kruglanski, A. W., & Stroebe, W. (2005). The influence of beliefs and goals on attitudes: Issues of structure, function, and dynamics. In D. Albarracin, B. T. Johnson, & M. P. Zanna (eds.), The handbook of attitudes (pp. 323–368), Lawrence Erlbaum Associates.
Leiss, W. (1996). Three phases in the evolution of risk communication practice. The ANNALS of the American Academy of Political and Social Science, 545(1), 85–94. https://doi.org/10.1177/0002716296545001009
McComas, K. A. (2006). Defining moments in risk communication research: 1996–2005. Journal of Health Communication, 11(1), 75–91. https://doi.org/10.1080/10810730500461091
Morton, T. A., & Duck, J. M. (2001). Communication and health beliefs: Mass and interpersonal influences on perceptions of risk to self and others. Communication Research, 28(5), 602–626. https://doi.org/10.1177/009365001028005002
Rahman, I., & Reynolds, D. (2019). The influence of values and attitudes on green consumer behavior: A conceptual model of green hotel patronage. International Journal of Hospitality & Tourism Administration, 20(1), 47–74. https://doi.org/10.1080/15256480.2017.1359729
Robinson, K. G., Robinson, C. H., Raup, L. A., & Markum, T. R. (2012). Public attitudes and risk perception toward land application of biosolids within the south-eastern United States. Journal of Environmental Management, 98, 29–36. https://doi.org/10.1016/j.jenvman.2011.12.012
Samovar, L. A., Porter, R. E., Mcdaniel, E. R., & Roy, C. S. (2016). Communication between cultures (9th ed.). Cengage Learning.
Severtson, D. J., & Myers, J. D. (2013). The influence of uncertain map features on risk beliefs and perceived ambiguity for maps of modeled cancer risk from air pollution. Risk Analysis, 33(5), 818–837. https://doi.org/10.1111/j.1539-6924.2012.01893.x
Sinha, P., & Singh, S. (2014). Determinants of consumers' perceived risk in online shopping: A study. Indian Journal of Marketing, 44(1), 22–32. https://doi.org/10.17010/ijom/2014/v44/i1/80468
Slovic, P. (2000). The perception of risk (1st ed.). Routledge.
Smith, R. E., & Swinyard, W. R. (1983). Attitude-behavior consistency: The impact of product trial versus advertising. Journal of Marketing Research, 20(3), 257–267. https://doi.org/10.2307/3151829
Song, H. R., Kim, C., & Kim, W. (2014). Relationship between risk involvement, risk perception, perceived severity and preventive behavior intention of avian influenza. Crisisonomy, 10(5), 33–49.
Stafford, M. R., Stafford, T. F., & Chowdhury, J. (1996). Predispositions toward green issues: The potential efficacy of advertising appeals. Journal of Current Issues and Research in Advertising, 18(1), 67–79. https://doi.org/10.1080/10641734.1996.10505041
Starr, C. (1969). Social benefit versus technological risk. Science, 165, 1232–1238.
Stevenson, K. T., King, T. L., Selm, K. R., Peterson, M. N., & Monroe, M. C. (2018). Framing climate change communication to prompt individual and collective action among adolescents from agriculture communities. Environmental Education Research, 24(3), 365–377. https://doi.org/10.1080/13504622.2017.1318114
Tyler, T. R., & Cook, F. L. (1984). The mass media and judgments of risk: Distinguishing impact on personal and societal level judgments. Journal of Personality and Social Psychology, 47(4), 693–708. https://doi.org/10.1037/0022-3514.47.4.693
Weinstein, N. D. (1989). Optimistic biases about personal risk, Science, 246(4935), 1232–1233. https://doi.org/10.1126/science.2686031
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22. https://doi.org/10.2307/1251446