Motivations behind donations for health-related organizations: Threat appraisal and coping appraisal—the case of the ALS Ice Bucket Challenge

References

• Balabanis, G., & Reynolds, N. L. (2001). Consumer attitudes towards multi-channels retailers’ web sites: The role of involvement, brand attitude, Internet knowledge and visit duration. Journal of Business Strategies, 18(2), 105–132.
   Google Scholar
• Bandura, A. (1977). Social learning theory. Oxford, England: Prentice Hall.
   Google Scholar
• Boer, H., & Seydel, E. R. (1996). Protection motivation theory. In M. Connor & P. Norman (Eds.), Predicting health behavior (pp. 95–120). Buckingham, England: Open University Press.
   Google Scholar
• Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon’s Mechanical Turk a new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6(1), 3–5. doi:10.1177/1745691610393980
   Web of Science ®Google Scholar
• Celsi, R. L., & Olson, J. C. (1988). The role of involvement in attention and comprehension processes. Journal of Consumer Research, 15(2), 210–224. doi:10.1086/209158
   Web of Science ®Google Scholar
• Cheah, W. H. (2006). College students’ perspectives in sexually transmitted infections (STIs) in Malaysia, Singapore, England, and the US: Formative evaluation insights and implications. Journal of Intercultural Communication Research, 35, 219–233.
   Google Scholar
• Cismaru, M., Deshpande, S., Thurmeier, R., Lavack, A. M., & Agrey, N. (2010). Preventing fetal alcohol spectrum disorders: The role of protection motivation theory. Health marketing quarterly, 27(1), 66–85. doi:10.1080/07359680903519776
   PubMedGoogle Scholar
• Clare, G. P., & Huddleston, P. (2014). Getting the message: Framing food recall messages to increase consumer protection motivations. Journal of Communication in Healthcare, 7(1), 57–70. doi:10.1179/1753807614y.0000000046
   Google Scholar
• Floyd, D. L., Prentice-Dunn, S., & Rogers, R. W. (2000). A meta‐analysis of research on protection motivation theory. Journal of Applied Social Psychology, 30(2), 407–429. doi:10.1111/j.1559-1816.2000.tb02323.x
   Web of Science ®Google Scholar
• Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis. New York, NY: The Guilford Press.
   Google Scholar
• Hayes, A. F., & Preacher, K. J. (2013). Conditional process modeling: Using structural equation modeling to examine contingent causal processes. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (2nd ed.) (pp. 219–226). Charlotte, NC: Information Age Publishing.
   Google Scholar
• Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59–68. doi:10.1016/j.bushor.2009.09.003
   Web of Science ®Google Scholar
• Kim, S., Jeong, S. H., & Hwang, Y. (2012). Predictors of pro-environmental behaviors of American and Korean students: The application of the theory of reasoned action and protection motivation theory. Science Communication, 35(2), 168–188. doi:10.1177/1075547012441692
   Web of Science ®Google Scholar
• Kuttschreuter, M., Rutsaert, P., Hilverda, F., Regan, A., Barnett, J., & Verbeke, W. (2014). Seeking information about food-related risks: The contribution of social media. Food Quality and Preference, 37, 10–18. doi:10.1016/j.foodqual.2014.04.006
   Web of Science ®Google Scholar
• Lee, E., Hu, M. Y., & Toh, R. S. (2000). Are consumer survey results distorted? Systematic impact of behavioral frequency and duration on survey response errors. Journal of Marketing Research, 37(1), 125–133. doi:10.1509/jmkr.37.1.125.18724
   Web of Science ®Google Scholar
• Leong, S. M. (1993). Consumer decision making for common, repeat-purchase products: A dual replication. Journal of Consumer Psychology, 2(2), 193–208. doi:10.1016/s1057-7408(08)80024-1
   Google Scholar
• Leung, X. Y., & Bai, B. (2013). How motivation, opportunity, and ability impact travelers’ social media involvement and revisit intention. Journal of Travel & Tourism Marketing, 30, 58–77. doi:10.1080/10548408.2013.751211
   Web of Science ®Google Scholar
• Lim, J., Al-Aali, A., Heinrichs, J. H., & Lim, K. (2013). Testing alternative models of individuals’ social media involvement and satisfaction. Computers in Human Behavior, 29, 2816–2828. doi:10.1016/j.chb.2013.07.022
   Web of Science ®Google Scholar
• Lipinski-Harten, M. (2014). A slap on the wrist or a pat on the back: The impact of feedback on pro-environmentalism (Doctoral dissertation). University of Toronto, Canada.
   Google Scholar
• Lwin, M. O., Stanaland, A. J. S., & Chan, D. (2010). Using protection motivation theory to predict condom usage and assess HIV health communication efficacy in Singapore. Health Communication, 25(1), 69–79. doi:10.1080/10410230903473540
   PubMed Web of Science ®Google Scholar
• Milne, S., Sheeran, P., & Orbell, S. (2000). Prediction and intervention in health-related behavior: A meta-analytic review of protection motivation theory. Journal of Applied Social Psychology, 30(1), 106–143. doi:10.1111/j.1559-1816.2000.tb02308.x
   Web of Science ®Google Scholar
• Pechmann, C., Zhao, G., Goldberg, M. E., & Reibling, E. T. (2003). What to convey in antismoking advertisements for adolescents: The use of protection motivation theory to identify effective message themes. Journal of Marketing, 67(2), 1–18. doi:10.1509/jmkg.67.2.1.18607
   Web of Science ®Google Scholar
• Petty, R. E., & Cacioppo, J. T. (1979). Issue involvement can increase or decrease persuasion by enhancing message-relevant cognitive responses. Journal of Personality and Social Psychology, 37(10), 1915–1926. doi:10.1037//0022-3514.37.10.1915
   Web of Science ®Google Scholar
• Reddy, S. (2014, August 14). How the ice-bucket challenge got its start. The Wall Street Journal. Retrieved from http://online.wsj.com
   Google Scholar
• Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change. Journal of Consumer Psychology, 91(1), 93–114. doi:10.1080/00223980.1975.9915803
   Google Scholar
• Rogers, R. W. (1983). Cognitive and physiological processes in fear appeals and attitude change: A revised theory of protection motivation. In J. T. Cacioppo & R. E. Petty (Eds.), Social psychology: A source book (pp. 153–176). New York, NY: Guildford Press.
   Google Scholar
• Slater, M. D., & Rasinski, K. A. (2005). Media exposure and attention as mediating variables influencing social risk judgments. Journal of Communication, 55(4), 810–827. doi:10.1111/j.1460-2466.2005.tb03024.x
   Web of Science ®Google Scholar
• Walsh, J. L., & Ward, L. M. (2010). Magazine reading and involvement and young adults’ sexual health knowledge, efficacy, and behaviors. Journal of Sex Research, 47(4), 285–300. doi:10.1080/00224490902916009
   PubMed Web of Science ®Google Scholar
• Yoo, C. Y., & Stout, P. A. (2001). Factors affecting users’ interactivity with the web site and the consequences of user’s interactivity. In C. R. Taylor (Ed.), Proceedings of the 2001 Conference of the American Academy of Advertising (pp. 53–61). Villanova, PA: American Academy of Advertising.
   Google Scholar
• Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(3), 341–352. doi:10.1086/208520
   Web of Science ®Google Scholar