Multi-Faceted Influences on Perceived Messaging Effectiveness: Strategic Communication for Enhancing COVID-19 Risk Mitigation

References

• Agrawal, N., & Mahesawaran, D. (2005). The effects of self-construal and commitment on persuasion. Journal of Consumer Research, 31(4), 841–849. https://doi.org/10.1086/426620
   Web of Science ®Google Scholar
• Aldoory, L. (2001). Making health communications meaningful for women: Factors that influence involvement. Journal of Public Relations Research, 13(2), 163–185. https://doi.org/10.1207/S1532754XJPRR1302_3
   Google Scholar
• Aldoory, L., & Sha, B.-L. (2007). The situational theory of publics: Practical applications, methodological challenges, and theoretical horizons. In E. L. Toth (Ed.), The future of excellence in public relations and communication management: Challenges for the next generation (pp. 339–355). Lawrence Erlbaum Associates.
   Google Scholar
• Anderson, R. B. (2009). Comparison of indirect sources of efficacy information in pretesting messages for campaigns to prevent drunken driving. Journal of Public Relations Research, 21(4), 428–454. https://doi.org/10.1080/1062726090296636
   Web of Science ®Google Scholar
• An, S.-K., Park, D.-J., Cho, S., & Berger, B. (2010). A cross-cultural study of effective organizational crisis response strategy in the United States and South Korea. International Journal of Strategic Communication, 4(4), 225–243. https://doi.org/10.1080/1553118X.2010.515543
   Google Scholar
• Borah, P. (2022). Message framing and COVID-19 vaccination intention: Moderating roles of partisan media use and pre-attitudes about vaccination. Current Psychology, 42(34), 1–10. https://doi.org/10.1007/s12144-022-02851-3
   PubMedGoogle Scholar
• Brankovic, M., & Zezelj, I. (2010). The effects of matching a persuasive message to a recipient’s self-concept on attitude change. Psihologija, 43(3), 233–251. https://doi.org/10.2298/PSI1003233B
   Web of Science ®Google Scholar
• Broom, G. & Sha, B.-L.(2013). Cutlip and Center’s effective public relations (11th ed.). Pearson.
   Google Scholar
• Brunel, F. F., & Nelson, M. R. (2003). Message order effects and gender differences in advertising persuasion. Journal of Advertising Research, 43(3), 330–342. https://doi.org/10.2501/JAR-43-3-330-342
   Web of Science ®Google Scholar
• Chon, M.-G., & Park, H. (2021). Predicting public support for government actions in a public health crisis: Testing fear, organization-public relationship, and behavioral intention in the framework of the situational theory of problem solving. Health Communication, 36(4), 476–486. https://doi.org/10.1080/10410236.2019.1700439
   PubMed Web of Science ®Google Scholar
• Clayton, S. (2018). The role of perceived justice, political ideology, and individual or collective framing in support for environmental policies. Social Justice Research, 31(3), 219–237. https://doi.org/10.1007/s11211-018-0303-z
   Web of Science ®Google Scholar
• Cross, S. E., Hardin, E. E., & Gercek-Swing, B. (2011). The what, how, why, and where of self-construal. Personality and Social Psychology Review, 15(2), 142–179. https://doi.org/10.1177/1088868310373752
   PubMed Web of Science ®Google Scholar
• Druckman, J. N. (2001). The implications of framing effects for citizen competence. Political Behavior, 23(3), 225–256. https://doi.org/10.1023/a:1015006907312
   Web of Science ®Google Scholar
• Entman, R. (1993). Framing: Towards clarification of a fractured paradigm. Journal of Communication, 43(4), 51–58. https://doi.org/10.1111/j.1460-2466.1993.tb01304.x
   Web of Science ®Google Scholar
• Fisher, J., & Hopp, T. (2020). Does the framing of transparency impact trust? Differences between self-benefit and other-benefit message frames. International Journal of Strategic Communication, 14(3), 203–222. https://doi.org/10.1080/1553118X.2020.1770767
   Google Scholar
• Grunig, J. E. (1997). A situational theory of publics: Conceptual history, recent challenges and new research. In D. Moss, T. MacManus, & D. Vercic (Eds.), Public relations research: An international perspective (pp. 3–46). International Thomson Business.
   Google Scholar
• Gudykunst, W. B., & Lee, C. M. (2003). Assessing the validity of self construal scales: A response to Levine et al. Human Communication Research, 29(2), 253–274. https://doi.org/10.1111/j.1468-2958.2003.tb00838.x
   Web of Science ®Google Scholar
• Gudykunst, W. B., Matsumoto, Y., Ting-Toomey, S., Nishida, T., Kim, K. S., & Heyman, S. (1996). The influence of cultural individualism-collectivism, self construals, and individual values on communication styles across cultures. Human Communication Research, 22(4), 510–543. https://doi.org/10.1111/j.1468-2958.1996.tb00377.x
   Web of Science ®Google Scholar
• Hallahan, K. (1999). Seven models of framing: Implications for public relations. Journal of Public Relations Research, 11(3), 205–242. https://doi.org/10.1207/s1532754xjprr1103_02
   Google Scholar
• Han, S., & Humphreys, G. (2016). Self-construal: A cultural framework for brain function. Current Opinion in Psychology, 8, 10–14. https://doi.org/10.1016/j.copsyc.2015.09.013
   PubMed Web of Science ®Google Scholar
• Hart, P. S., Sol Hart, P., Chinn, S., & Soroka, S. (2020). Politicization and polarization in COVID-19 news coverage. Science Communication, 42(5), 679–697. https://doi.org/10.1177/1075547020950735
   PubMed Web of Science ®Google Scholar
• Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis (2nd ed.). The Guilford Press.
   Google Scholar
• Hofstede, G., & Hofstede, G. J. (2005). Cultures and organizations: Software of the mind ((2nd ed.). McGraw-Hill.
   Google Scholar
• Hong, H., Park, H., Lee, Y., & Park, J. (2012). Public segmentation and government–public relationship building: A cluster analysis of publics in the United States and 19 European countries. Journal of Public Relations Research, 24(1), 37–68. https://doi.org/10.1080/1062726X.2012.626135
   Web of Science ®Google Scholar
• Huang, Y., & Shen, F. (2016). Effects of cultural tailoring on persuasion in cancer communication: A meta-analysis. Journal of Communication, 66(4), 694–715. https://doi.org/10.1111/jcom.12243
   Web of Science ®Google Scholar
• Huang, Y., & Wang, W. (2020). When a story contradicts: Correcting health misinformation on social media through different message formats and mechanisms. Information, Communication & Society, Published Online, 25(8), 1192–1209. https://doi.org/10.1080/1369118X.2020.1851390
   Web of Science ®Google Scholar
• Jang, W., Wu, L., & Wen, J. (2021). Understanding the effects of different types of meaningful sports consumption on sports consumers’ emotions, motivations, and behavioral intentions. Sport Management Review, 24(1), 46–68. https://doi.org/10.1016/j.smr.2020.07.002
   Web of Science ®Google Scholar
• Jiang, J., Chen, E., Yan, S., Lerman, K., & Ferrara, E. (2020). Political polarization drives online conversations about COVID‐19 in the United States. Human Behavior and Emerging Technologies, 2(3), 200–211. https://doi.org/10.1002/hbe2.202
   PubMedGoogle Scholar
• Johnston, A. C., Warkentin, M., McBride, M., & Carter, L. (2016). Dispositional and situational factors: Influences on information security policy violations. European Journal of Information Systems, 25(3), 231–251. https://doi.org/10.1057/ejis.2015.15
   Web of Science ®Google Scholar
• Jordan, J., Yoeli, E., & Rand, D. (2020). Don’t get it or don’t spread it? Comparing self-interested versus prosocially framed COVID-19 prevention messaging. PsyArXiv, working paper.
   Google Scholar
• Kelly, B. J., & Hornik, R. C. (2016). Effects of framing health messages in terms of benefits to loved ones or others: An experimental study. Health Communication, 31(10), 1284–1290. https://doi.org/10.1080/10410236.2015.1062976
   PubMed Web of Science ®Google Scholar
• Kim, J.-N., & Grunig, J. E. (2011). Problem solving and communicative action: A situational theory of problem solving. Journal of Communication, 61(1), 120–149. https://doi.org/10.1111/j.1460-2466.2010.01529.x
   Web of Science ®Google Scholar
• Kim, M. S., Hunter, J. E., Miyahara, A., Horvath, A., Bresnahan, M., & Yoon, H. J. (1996). Individual- vs. culture-level dimensions of individualism and collectivism: Effects on preferred conversational styles. Communication Monographs, 63(1), 29–49. https://doi.org/10.1080/03637759609376373
   Web of Science ®Google Scholar
• Kim, J.-N., & Ni, L. (2013). Two types of public relations problems and integrating formative and evaluative research: A review of research programs within the behavioral, strategic management paradigm. Journal of Public Relations Research, 25(1), 1–29. https://doi.org/10.1080/1062726X.2012.723276
   Web of Science ®Google Scholar
• Kim, J. N., Ni, L., & Sha, B. L. (2008). Breaking down the stakeholder environment: Explicating approaches to the segmentation of publics for public relations research. Journalism & Mass Communication Quarterly, 85(4), 751–768. https://doi.org/10.1177/107769900808500403
   Web of Science ®Google Scholar
• Krishen, A. S., Raschke, R., Kachroo, P., LaTour, M., & Verma, P. (2014). Promote me or protect us? The framing of policy for collective good. European Journal of Marketing, 48(3/4), 742–760. https://doi.org/10.1108/ejm-10-2011-0609
   Web of Science ®Google Scholar
• Kudo, D., & Nagaya, K. (2017). Effects of matching and mismatching messages on purchase avoidance behavior following Major disasters. Psychology & Marketing, 34(3), 335–346. https://doi.org/10.1002/mar.20992
   Web of Science ®Google Scholar
• Li, J.-Y., Kim, J. K., Overton, H., Bhalla, N., Zhang, N., Choi, M., & Moon, W.-K. (2019). What shapes environmental responsibility perceptions? Measuring value orientations as a predictor of situational motivations and communicative action. International Journal of Strategic Communication, 13(3), 214–232. https://doi.org/10.1080/1553118X.2019.1612407
   Google Scholar
• Luttrell, A., Petty, R. E., Press, I., Psychological, S., Science, P., & Note, A. (2020). Evaluations of self-focused vs. other-focused arguments for social distancing: An extension of moral matching effects. Social Psychological and Personality Science, Advance online publication. https://doi.org/10.1177/1948550620947853
   Web of Science ®Google Scholar
• Mancha, R. M., & Yoder, C. Y. (2015). Cultural antecedents of green behavioral intent: An environmental theory of planned behavior. Journal of Environmental Psychology, 43, 145–154. https://doi.org/10.1016/j.jenvp.2015.06.005
   Web of Science ®Google Scholar
• Manuel, E., Youn, S., & Yoon, D. (2014). Functional matching effect in CRM: Moderating roles of perceived message quality and skepticism. Journal of Marketing Communications, 20(6), 397–18. https://doi.org/10.1080/13527266.2012.715587
   Google Scholar
• Market Watch March, 4, (2021). Coronavirus Tally: Global Cases of COVID-19 Top and WHO Fears Possible 236,000 New Deaths in Europe by Dec. 1. Retrieved from https://www.marketwatch.com/story/coronavirus-tally-global-cases-of-covid-19-top-and-who-fears-possible-236000-new-deaths-in-europe-by-dec-1-2021-08-30
   Google Scholar
• Markus, H. R., & Kitayama, S. (1991). Culture and the self: Implications for selves and theories of selves. Psychological Review, 98(2), 224–253. https://doi.org/10.1037/0033-295X.98.2.224
   Web of Science ®Google Scholar
• Markus, H. R., Mullally, P., & Kitayama, S. (1997). Selfways: Diversity in modes of cultural participation. In U. Neisser & D. Jopling (Eds.), The conceptual self in context (pp. 13–59). Cambridge University Press.
   Google Scholar
• Ni, L., & Kim, J.-N. (2009). Classifying publics: Communication behaviors and problem-solving characteristics in controversial issues. International Journal of Strategic Communication, 3(4), 217–241. https://doi.org/10.1080/15531180903221261
   Google Scholar
• Ni, L., Wang, Q., & Sha, B. L. (2018). Intercultural public relations: Theories for managing relationships and conflicts with strategic publics. Routledge.
   Google Scholar
• Oetze, J. (1998). Explaining individual communication processes in homogeneous and heterogeneous groups through individualism-collectivism and self-construal. Human Communication Research, 25(2), 202–224. https://doi.org/10.1111/j.1468-2958.1998.tb00443.x
   Web of Science ®Google Scholar
• Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 124–129. https://doi.org/10.1007/978-1-4612-4964-1_1
   Google Scholar
• Petty, R. E., & Wegener, D. T. (1998). Matching versus mismatching attitude functions: Implications for scrutiny of persuasive messages. Personality and Social Psychology Bulletin, 24(3), 227–240. https://doi.org/10.1177/0146167298243001
   Web of Science ®Google Scholar
• Polyorat, K., Alden, D. L., & Alden, D. L. (2005). Self-construal and need-for-cognition effects on brand attitudes and purchase intentions in response to comparative advertising in Thailand and the United States. Journal of Advertising, 34(1), 37–48. https://doi.org/10.1080/00913367.2005.10639179
   Web of Science ®Google Scholar
• Saher, R., & Anjum, M. (2021). Role of technology in COVID-19 pandemic. Researches and Applications of Artificial Intelligence to Mitigate Pandemics, 109–138. https://doi.org/10.1016/B978-0-323-90959-4.00005-5
   Google Scholar
• See, Y. H. M., Valenti, G., Ho, A. Y. Y., & Tan, M. S. Q. (2013). When message tailoring backfires: The role of initial attitudes in affect–cognition matching. European Journal of Social Psychology, 43(6), 570–584. https://doi.org/10.1002/ejsp.1967
   Web of Science ®Google Scholar
• Sha, B.-L. (2006). Cultural identity in the segmentation of publics: An emerging theory of intercultural public relations. Journal of Public Relations Research, 18(1), 45–65. https://doi.org/10.1207/s1532754xjprr1801_3
   Google Scholar
• Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.
   Google Scholar
• Singelis, T. M., & Brown, W. J. (1995). Culture, self, and collectivist communication: Linking culture to individual behavior. Human Communication Research, 21(3), 354–389. https://doi.org/10.1111/j.1468-2958.1995.tb00351.x
   PubMed Web of Science ®Google Scholar
• Skurka, C., Niederdeppe, J., & Winett, L. B. (2020). There’s more to the story: Both individual and collective policy narratives can increase support for community-level action. International Journal of Communication, 14(20), 4160–4179.
   Google Scholar
• Sriramesh, K., Moghan, S., & Lim, K.-W. (2007). The situational theory of publics in a different cultural setting: Consumer publics in Singapore. Journal of Public Relations Research, 19(4), 307–332. https://doi.org/10.1080/10627260701402424
   Google Scholar
• Sundar, S. S., & Marathe, S. S. (2010). Personalization versus customization: The importance of agency, privacy, and power usage. Human Communication Research, 36(3), 298–322. https://doi.org/10.1111/j.1468-2958.2010.01377.x
   Web of Science ®Google Scholar
• Triandis, H. C. (1989). The self and social behavior in differing cultural contexts. Psychological Review, 96(3), 506–520. https://doi.org/10.1037/0033-295X.96.3.506
   Web of Science ®Google Scholar
• U.S. Census Bureau. (n.d.). QuickFacts. https://www.census.gov/quickfacts/fact/table/US/PST045221
   Google Scholar
• Vardeman-Winter, J., Jiang, H., & Tindall, N. T. (2013). Information-seeking outcomes of representational, structural, and political intersectionality among health media consumers. Journal of Applied Communication Research, 41(4), 389–411. https://doi.org/10.1080/00909882.2013.828360
   Web of Science ®Google Scholar
• Werder, K. P. (2006). Responding to activism: An experimental analysis of public relations strategy influence on attributes of publics. Journal of Public Relations Research, 18(4), 335–356. https://doi.org/10.1207/s1532754xjprr1804_3
   Google Scholar
• Wheeler, S. C., Petty, R. E., & Bizer, G. Y. (2005). Self-schema matching and attitude change: Situational and dispositional determinants of message elaboration. Journal of Consumer Research, 31(4), 787–797. https://doi.org/10.1086/426613
   Web of Science ®Google Scholar
• Wu, S., Cai, W., & Jin, S. (2018). Gain or non-loss: The message matching effect of regulatory focus on moral judgements of other-orientation lies. International Journal of Psychology, 53(3), 223–227. https://doi.org/10.1002/ijop.12286
   PubMed Web of Science ®Google Scholar
• Yang, K. C. C., & Kang, Y. (2015). Exploring big data and privacy in strategic communication campaigns: A cross-cultural study of mobile social media users’ daily experiences. International Journal of Strategic Communication, 9(2), 87–101. https://doi.org/10.1080/1553118X.2015.1008635
   Google Scholar
• Yan, J., Wei, J., Zhao, D., Vinnikova, A., Li, L., & Wang, S. (2018). Communicating online diet-nutrition information and influencing health behavioral intention: The role of risk perceptions, problem recognition, and situational motivation. Journal of Health Communication, 23(7), 624–633. https://doi.org/10.1080/10810730.2018.1500657
   PubMed Web of Science ®Google Scholar
• Zhang, T., Mosier, J., & Subbian, V. (2021). Identifying barriers to and opportunities for telehealth implementation amidst the COVID-19 pandemic by using a human factors approach: A leap into the future of health care delivery? JMIR Hum Factors, 8(2), e24860. https://doi.org/10.2196/24860
   PubMedGoogle Scholar
• Zhao, X., Zhan, M., & Wong, C.-W. (2018). Segmenting and understanding publics in a social media information sharing network: An interactional and dynamic approach. International Journal of Strategic Communication, 12(1), 25–45. https://doi.org/10.1080/1553118X.2017.1379013
   Google Scholar
• Zheng, Y. (2020). Using mobile donation to promote international fundraising: A situational technology acceptance model. International Journal of Strategic Communication, 14(2), 73–88. https://doi.org/10.1080/1553118X.2020.1720026
   Google Scholar
• Ziegler, R., Dobre, B., & Diehl, M. (2007). Does matching versus mismatching message content to attitude functions lead to biased processing? The role of message ambiguity. Basic and Applied Social Psychology, 29(3), 269–278. https://doi.org/10.1080/01973530701503366
   Web of Science ®Google Scholar