To disclose or not to disclose? Factors related to the willingness to disclose information to a COVID-19 tracing app

References

• Abu-Raddad, L. J., Chemaitelly, H., & Butt, A. A. (2021). Effectiveness of the BNT162b2 COVID-19 vaccine against the B.1.1.7 and B.1.351 variants. New England Journal of Medicine, 385(2), 187–189. https://doi.org/10.1056/NEJMc2104974
   PubMed Web of Science ®Google Scholar
• Alvis, L., Douglas, R., Shook, N., & Oosterhoff, B. (2020). Associations between adolescents’ prosocial experiences and mental health during the COVID-19 pandemic. https://doi.org/10.31234/osf.io/2s73n
   Google Scholar
• Anderson, C. L., & Agarwal, R. (2011). The digitization of healthcare: Boundary risks, emotion, and consumer willingness to disclose personal health information. Information Systems Research, 22(3), 469–490. https://doi.org/10.1287/isre.1100.0335
   Web of Science ®Google Scholar
• Bansal, G., Zahedi, F. M., & Gefen, D. (2010). The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online. Decision Support Systems, 49(2), 138–150. https://doi.org/10.1016/j.dss.2010.01.010
   Web of Science ®Google Scholar
• Betsch, C., & Böhm, R. (2016). Detrimental effects of introducing partial compulsory vaccination: Experimental evidence. European Journal of Public Health, 26(3), 378–381. https://doi.org/10.1093/eurpub/ckv154
   PubMed Web of Science ®Google Scholar
• Betsch, C., Böhm, R., & Korn, L. (2013). Inviting free-riders or appealing to prosocial behavior? Game-theoretical reflections on communicating herd immunity in vaccine advocacy. Health Psychology, 32(9), 978–985. https://doi.org/10.1037/a0031590
   PubMed Web of Science ®Google Scholar
• Betsch, C., Wieler, L., Bosnjak, M., Ramharter, M., Stollorz, V., Omer, S., Korn, L., Sprengholz, P., Felgendreff, L., Eitze, S., & Schmid, P. (2020). Germany COVID-19 Snapshot Monitoring (COSMO Germany): Monitoring knowledge, risk perceptions, preventive behaviours, and public trust in the current coronavirus outbreak in Germany. PsychArchives. https://doi.org/10.23668/psycharchives.2776
   Google Scholar
• Bock, G. W., Zmud, R. W., Kim, Y. G., & Lee, J. N. (2005). Behavioral intention formation in knowledge sharing: Examining the roles of extrinsic motivators, social-psychological forces, and organizational climate. MIS Quarterly: Management Information Systems, 29(1), 87–111. https://doi.org/10.2307/25148669
   Web of Science ®Google Scholar
• Böhm, R., Theelen, M. M. P., Rusch, H., & Van Lange, P. A. M. (2018). Costs, needs, and integration efforts shape helping behavior toward refugees. Proceedings of the National Academy of Sciences of the United States of America, 115(28), 7284–7289. https://doi.org/10.1073/pnas.1805601115
   PubMed Web of Science ®Google Scholar
• Brehm, J. (1966). A theory of psychological reactance. Academic Press. https://psycnet.apa.org/record/1967-08061-000
   Google Scholar
• Brug, J., Aro, A. R., & Richardus, J. H. (2009). Risk perceptions and behaviour: Towards pandemic control of emerging infectious diseases: Iional research on risk perception in the control of emerging infectious diseases. International Journal of Behavioral medicine, 16(1), 3–6. https://doi.org/10.1007/s12529-008-9000-x.
   Google Scholar
• Cho, J. (2006). The mechanism of trust and distrust formation and their relational outcomes. Journal of Retailing, 82(1), 25–35. https://doi.org/10.1016/j.jretai.2005.11.002
   Web of Science ®Google Scholar
• Cori, L., Curzio, O., Adorni, F., Prinelli, F., Noale, M., Trevisan, C., Fortunato, L., Giacomelli, A., & Bianchi, F. (2021). Fear of COVID-19 for individuals and family members: Indications from the national cross-sectional study of the EPICOVID19 Web-based survey. International Journal of Environmental Research and Public Health, 18(6), 1–20. https://doi.org/10.3390/ijerph18063248
   Web of Science ®Google Scholar
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
   Google Scholar
• Diamantopoulos, A., Sarstedt, M., Fuchs, C., Wilczynski, P., & Kaiser, S. (2012). Guidelines for choosing between multi-item and single-item scales for construct measurement: A predictive validity perspective. Journal of the Academy of Marketing Science, 40(3), 434–449. https://doi.org/10.1007/s11747-011-0300-3
   Web of Science ®Google Scholar
• Dooley, S., Turjeman, D., Dickerson, J. P., & Redmiles, E. M. (2020). Field evidence of the effects of Pro-sociality and transparency on COVID-19 App attractiveness. In Preprint. SocArXiv. https://doi.org/10.31235/OSF.IO/GM6JS
   Google Scholar
• Fancourt, D., Steptoe, A., & Wright, L. (2020). The Cummings effect: Politics, trust, and behaviours during the COVID-19 pandemic. The lancet, 396(10249), 464–465. https://doi.org/10.1016/S0140-6736(20)31690-1
   Google Scholar
• Ferretti, L., Wymant, C., Kendall, M., Zhao, L., Nurtay, A., Abeler-Dörner, L., Parker, M., Bonsall, D., & Fraser, C. (2020). Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing. Science, 368(6491), eabb6936. https://doi.org/10.1126/science.abb6936
   PubMed Web of Science ®Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.
   Google Scholar
• Fong Boh, W., Constantinides, P., Padmanabhan, B., & Viswanathan, S. (2020). Call for papers MISQ special issue on digital resilience. MIS Quarterly: Management Information systems.
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
   Web of Science ®Google Scholar
• Gefen, D., Karahanna, E., & Straub, D. (2003). Trust and TAM in online shopping: An integrated model. Management Information Systems Quarterly, 27(1), 51. https://doi.org/10.2307/30036519
   Web of Science ®Google Scholar
• Grant, A. M., & Hofmann, D. A. (2011). It’s not all about me: Motivating hand hygiene among health care professionals by focusing on patients. Psychological Science, 22(12), 1494–1499. https://doi.org/10.1177/0956797611419172
   PubMed Web of Science ®Google Scholar
• Grimmelikhuijsen, S., & Klijn, A. (2015). The effects of judicial transparency on public trust: Evidence from a field experiment. Public Administration, 93(4), 995–1011. https://doi.org/10.1111/padm.12149
   Web of Science ®Google Scholar
• Groarke, J. M., Berry, E., Graham-Wisener, L., McKenna-Plumley, P. E., McGlinchey, E., & Armour, C. (2020). Loneliness in the UK during the COVID-19 pandemic: Cross-sectional results from the COVID-19 psychological wellbeing study. PLoS One, 15(9), e0239698. https://doi.org/10.1371/journal.pone.0239698
   PubMed Web of Science ®Google Scholar
• Habersaat, K., Betsch, C., Danchin, M., Sunstein, C., Böhm, R., Falk, A., Noel, B., Omer, S., Scherzer, M., Sah, S., Fischer, E., Scheel, A., Fancourt, D., Kitayama, S., Dubé, E., Leask, J., Dutta, M., MacDonald, N., Temkina, A., … Butler, R., ( 2020). Ten considerations for effectively managing the COVID-19 transition. Nature Human Behaviour, 4(7), 677–687. https://doi.org/10.1038/s41562-020-0906-x
   PubMed Web of Science ®Google Scholar
• Hansen, S. (2020). Americans have lost 10 million jobs because of Coronavirus. https://www.forbes.com/sites/sarahhansen/2020/04/02/the-us-has-now-lost-nearly-10-million-jobs-because-of-coronavirus/#3fbfbb0a1b5c
   Google Scholar
• Hargittai, E., Redmiles, E. M., Vitak, J., & Zimmer, M. (2020). Americans’ willingness to adopt a COVID-19 tracking app. First Monday, 25(11). https://doi.org/10.5210/FM.V25I11.11095
   Google Scholar
• Harper, C. A., Satchell, L. P., Fido, D., & Latzman, R. D. (2020). Functional fear predicts public health compliance in the COVID-19 pandemic. International Journal of Mental Health and Addiction, 19(5), 1875–1888. https://doi.org/10.1007/s11469-020-00281-5
   PubMed Web of Science ®Google Scholar
• Hinch, R., Probert, W., Nurtay, A., Kendall, M., Wymant, C., Hall, M., Lythgoe, K., Cruz, A. B., Zhao, L., Stewart, A., Ferretti, L., Parker, M., Meroueh, A., Mathias, B., Stevenson, S., Montero, D., Warren, J., Mather, N. K., Finkelstein, A., … Fraser, C. (2020). Effective configurations of a digital contact tracing App: A report to NHSX. https://cdn.theconversation.com/static_files/files/1009/Report_-_Effective_App_Configurations.pdf?1587531217
   Google Scholar
• Huang, Y., Sun, M., & Sui, Y. (2020, August 15). How digital contact tracing slowed Covid-19 in East Asia. Harvard Business Review. https://store.hbr.org/product/how-digital-contact-tracing-slowed-covid-19-in-east-asia/H05KBQ
   Google Scholar
• Inesi, M. E., Botti, S., Dubois, D., Rucker, D. D., & Galinsky, A. D. (2011). Power and choice: Their dynamic interplay in quenching the thirst for personal control. Psychological Science, 22(8), 1042–1048. https://doi.org/10.1177/0956797611413936
   PubMed Web of Science ®Google Scholar
• Jabr, W., Mookerjee, R., Tan, Y., & Mookerjee, V. S. (2014). Leveraging philanthropic behavior for customer support: The case of user support forums. MIS Quarterly: Management Information Systems, 38(1), 187–208. https://doi.org/10.25300/MISQ/2014/38.1.09
   Web of Science ®Google Scholar
• Johnston, A. C., & Warkentin, M. (2010). Fear appeals and information security behaviors: An empirical study. MIS Quarterly: Management Information Systems, 34(Spec. Issue 3), 549–566. https://doi.org/10.2307/25750691
   Web of Science ®Google Scholar
• Jordan, R. E., Adab, P., & Cheng, K. K.. (2020). Covid-19: Risk factors for severe disease and death. The BMJ, 368, m1198. https://doi.org/10.1136/bmj.m1198
   PubMed Web of Science ®Google Scholar
• Jörling, M., Böhm, R., & Paluch, S. (2019). Service robots: Drivers of perceived responsibility for service outcomes. Journal of Service Research, 22(4), 404–420. https://doi.org/10.1177/1094670519842334
   Web of Science ®Google Scholar
• Kaptchuk, G., Goldstein, D. G., Hargittai, E., Hofman, J., & Redmiles, E. M. (2020). How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt. In Preprint. arXiv.org. https://arxiv.org/abs/2005.04343v4
   Google Scholar
• Kozyreva, A., Lorenz-Spreen, P., Lewandowsky, S., Garrett, P. M., Herzog, S. M., Pachur, T., & Hertwig, R. (2021). Psychological factors shaping public responses to COVID-19 digital contact tracing technologies in Germany. Scientific Reports, 11(1), 18716. https://doi.org/10.1038/s41598-021-98249-5
   PubMed Web of Science ®Google Scholar
• Larsen, M., Nyrup, J., & Petersen, M. B. (2020). Do survey estimates of the public’s compliance with COVID-19 regulations suffer from social desirability bias? Journal of Behavioral Public Administration, 3(2). https://doi.org/10.30636/jbpa.32.164
   Google Scholar
• Lilleholt, L., Zettler, I., Betsch, C., & Böhm, R.. (2020). Pandemic fatigue: Measurement, correlates, and consequences. https://doi.org/10.31234/osf.io/2xvbr
   Google Scholar
• Lohar, P., Xie, G., Bendechache, M., Brennan, R., Celeste, E., Trestian, R., & Tal, I. (2021). Irish Attitudes toward COVID Tracker App & privacy: Sentiment analysis on Twitter and survey data. ARES 2021: The 16th International Conference on Availability, Reliability and Security.
   Google Scholar
• Matt, C. (2022). Campaigning for the greater good? – How persuasive messages affect the evaluation of contact tracing apps. Journal of Decision Systems, 31(1–2), 189–206. https://doi.org/10.1080/12460125.2021.1873493
   Web of Science ®Google Scholar
• McKnight, D. H., Cummings, L. L., & Chervany, N. L. (1998). Initial trust formation in new organizational relationships. The Academy of Management Review, 23(3), 473. https://doi.org/10.2307/259290
   Web of Science ®Google Scholar
• Mertens, G., Gerritsen, L., Duijndam, S., Salemink, E., & Engelhard, I. M. (2020). Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020. Journal of Anxiety Disorders, 74, 102258. https://doi.org/10.1016/j.janxdis.2020.102258
   PubMed Web of Science ®Google Scholar
• Moshagen, M., Hilbig, B. E., & Zettler, I. (2014). Faktorenstruktur, psychometrische Eigenschaften und Messinvarianz der deutschsprachigen Version des 60-Item HEXACO Persönlichkeitsinventars. Diagnostica, 60(2), 86–97. https://doi.org/10.1026/0012-1924/a000112
   Web of Science ®Google Scholar
• Munzert, S., Selb, P., Gohdes, A., Stoetzer, L. F., & Lowe, W. (2021). Tracking and promoting the usage of a COVID-19 contact tracing app. Nature Human Behaviour, 5(2), 247–255. https://doi.org/10.1038/s41562-020-01044-x
   PubMed Web of Science ®Google Scholar
• Nederhof, A. J. (1985). Methods of coping with social desirability bias: A review. European Journal of Social Psychology, 15(3), 263–280. https://doi.org/10.1002/ejsp.2420150303
   Web of Science ®Google Scholar
• Okazaki, S., Li, H., & Hirose, M. (2009). Consumer privacy concerns and preference for degree of regulatory control: A study of mobile advertising in Japan. Journal of Advertising, 38(4), 63–77. https://doi.org/10.2753/JOA0091-3367380405
   Web of Science ®Google Scholar
• Open-Source Project Corona-Warn-App – Science Blog. (n.d.). Retrieved February 7, 2022, from https://www.coronawarn.app/en/science/
   Google Scholar
• Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134. https://doi.org/10.1080/10864415.2003.11044275
   Web of Science ®Google Scholar
• Petrocchi, S., Bernardi, S., Malacrida, R., Traber, R., Gabutti, L., & Grignoli, N. (2021). Affective empathy predicts self-isolation behaviour acceptance during coronavirus risk exposure. Scientific Reports, 11(1), 1–11. https://doi.org/10.1038/s41598-021-89504-w
   PubMed Web of Science ®Google Scholar
• Pfattheicher, S., Nockur, L., Böhm, R., Sassenrath, C., & Petersen, M. B. (2020). The emotional path to action: Empathy promotes physical distancing and wearing face masks during the COVID-19 pandemic. Psychological Science., 31(11), 1363–1373. https://doi.org/10.31234/osf.io/y2cg5
   PubMed Web of Science ®Google Scholar
• Piff, P. K., Kraus, M. W., Côté, S., Cheng, B. H., & Keltner, D. (2010). Having less, giving more: The influence of social class on prosocial behavior. Journal of Personality and Social Psychology, 99(5), 771–784. https://doi.org/10.1037/a0020092
   PubMed Web of Science ®Google Scholar
• Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42(1), 185–227. https://doi.org/10.1080/00273170701341316
   PubMed Web of Science ®Google Scholar
• Rai, A. (2020). Editor’s comments: The COVID-19 pandemic: Building resilience with IS research. Management Information Systems Quarterly, 44(2), iii–vii.
   Google Scholar
• Redmiles, E. M. (2020). User concerns & tradeoffs in technology-facilitated contact tracing. Preprint 2 (1), 1–12. https://doi.org/10.1145/3428093.
   Google Scholar
• Reyna, V. F., & Farley, F. (2006). Risk and rationality in adolescent decision making: Implications for theory, practice, and public policy. Psychological Science in the Public Interest, 7(1), 1–44. https://doi.org/10.1111/j.1529-1006.2006.00026.x
   PubMed Web of Science ®Google Scholar
• Riemer, K., Ciriello, R., Peter, S., & Schlagwein, D. (2020). Digital contact-tracing adoption in the COVID-19 pandemic: IT governance for collective action at the societal level. European Journal of Information Systems, 29(6), 731–745. https://doi.org/10.1080/0960085X.2020.1819898
   Web of Science ®Google Scholar
• Rijsdijk, S., & Hultink, E. J. (2009). How today’s consumers perceive tomorrow’s smart products. Journal of Product Innovation Management, 26(1), 24–42. https://doi.org/10.1111/j.1540-5885.2009.00332.x
   Web of Science ®Google Scholar
• Rotter, J. B. (1971). Generalized expectancies for interpersonal trust. American Psychologist, 26(5), 443–452. https://doi.org/10.1037/h0031464
   Web of Science ®Google Scholar
• Schönborn, L. (2020, October 10). Corona Contact-Tracing App. https://www.internetjustsociety.org/corona-contact-tracing-app
   Google Scholar
• Schwartz, S. H. (1977). Normative influences on altruism. Advances in Experimental Social Psychology, 10(C), 221–279. https://doi.org/10.1016/S0065-2601(08)60358-5
   Google Scholar
• Seberger, J. S., & Patil, S. (2021, May 6). Us and them (and it): Social orientation, privacy concerns, and expected use of pandemic-tracking apps in the United States. Conference on Human Factors in Computing Systems - proceedings. https://doi.org/10.1145/3411764.3445485
   Google Scholar
• Sharma, P. N., Sarstedt, M., Shmueli, G., Kim, K. H., & Thiele, K. O. (2019). PLS-based model selection: The role of alternative explanations in information systems research. Journal of the Association for Information Systems, 20(4), 346–397. https://doi.org/10.17705/1jais.00538
   Web of Science ®Google Scholar
• Sharma, S., Singh, G., Sharma, R., Jones, P., Kraus, S., & Dwivedi, Y. K. (2020). Digital health innovation: Exploring adoption of COVID-19 Digital Contact Tracing apps. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2020.3019033
   Google Scholar
• Sheather, S. (2009). A modern approach to regression with R. Springer. https://doi.org/10.1007/978-0-387-09608-7
   Google Scholar
• Statista. (2020) . Adoption of government endorsed COVID-19 contact tracing apps in selected countries as of July 2020. https://www.statista.com/statistics/1134669/share-populations-adopted-covid-contact-tracing-apps-countries/
   Google Scholar
• Statista. (2021). Corona-Warn-App: Anzahl potenziell teilbarer positiver Testergebnisse in Deutschland 2021. https://de.statista.com/statistik/daten/studie/1179649/umfrage/anzahl-potenziell-teilbarer-positiver-testergebnisse/#professional
   Google Scholar
• Thielmann, I., Spadaro, G., & Balliet, D. (2020). Personality and prosocial behavior: A theoretical framework and meta-analysis. Psychological Bulletin, 146(1), 30–90. https://doi.org/10.1037/bul0000217
   PubMed Web of Science ®Google Scholar
• Trang, S., Trenz, M., Weiger, W. H., Tarafdar, M., & Cheung, C. M. K. (2020). One app to trace them all? Examining app specifications for mass acceptance of contact-tracing apps. European Journal of Information Systems, 29(4), 415–428. https://doi.org/10.1080/0960085X.2020.1784046
   Web of Science ®Google Scholar
• Travaglino, G. A., & Moon, C. (2021). Compliance and self-reporting during the COVID-19 pandemic: A cross-cultural study of trust and self-conscious emotions in the United States, Italy, and South Korea. Frontiers in Psychology, 12, 684. https://doi.org/10.3389/fpsyg.2021.565845
   Web of Science ®Google Scholar
• Trepte, S., Reinecke, L., Ellison, N. B., Quiring, O., Yao, M. Z., & Ziegele, M. (2017). A cross-cultural perspective on the privacy calculus. Social Media + Society, 3(1), 1–13. https://doi.org/10.1177/2056305116688035
   Web of Science ®Google Scholar
• Twardawski, M., Steindorf, L., & Thielmann, I. (2020). Three pillars of physical distancing: Anxiety, prosociality, and rule compliance during the COVID-19-pandemic. Collabra: Psychology, 7(1), 22511. https://doi.org/10.1525/collabra.22511
   Google Scholar
• Tyler, T. R., Orwin, R., & Schurer, L. (1982). Defensive denial and high cost prosocial behavior. Basic and Applied Social Psychology, 3(4), 267–281. https://doi.org/10.1207/s15324834basp0304_4
   Web of Science ®Google Scholar
• Urbaczewski, A., & Lee, Y. J. (2020). Information technology and the pandemic: A preliminary multinational analysis of the impact of mobile tracking technology on the COVID-19 contagion control. European Journal of Information Systems, 29(4), 405–414. https://doi.org/10.1080/0960085X.2020.1802358
   Web of Science ®Google Scholar
• Utz, C., Becker, S., Schnitzler, T., Florian, M., Herbert, F. F., & Schaewitz, L. (2021, May). Apps against the spread: Privacy implications and user acceptance of COVID-19-related smartphone apps on three continents. Conference on Human Factors in Computing Systems - proceedings. https://doi.org/10.1145/3411764.3445517
   Google Scholar
• Velicia-Martin, F., Cabrera-Sanchez, J. P., Gil-Cordero, E., & Palos-Sanchez, P. R. (2021). Researching COVID-19 tracing app acceptance: Incorporating theory from the technological acceptance model. PeerJ Computer Science, 7, 1–20. https://doi.org/10.7717/peerj-cs.316
   Google Scholar
• Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
   Web of Science ®Google Scholar
• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
   Web of Science ®Google Scholar
• Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
   Web of Science ®Google Scholar
• Vieira, J., Pierzchajlo, S., Jangard, S., Marsh, A., & Olsson, A. (2020). Perceived threat and acute anxiety predict increased everyday altruism during the COVID-19 pandemic. https://doi.org/10.31234/osf.io/n3t5c
   Google Scholar
• Vriens, M., Loosschilder, G. H., Rosbergen, E., & Wittink, D. R. (1998). Verbal versus realistic pictorial representations in conjoint analysis with design attributes. Journal of Product Innovation management, 15(Issue 5), 455–467. https://doi.org/10.1016/s0737-6782(98)00012-5
   Google Scholar
• Walrave, M., Waeterloos, C., & Ponnet, K. (2020). Ready or not for contact tracing? Investigating the adoption intention of COVID-19 contact-tracing technology using an extended unified theory of acceptance and use of technology model. Cyberpsychology, Behavior, and Social Networking., 24(6), 377–383. https://doi.org/10.1089/cyber.2020.0483
   PubMed Web of Science ®Google Scholar
• World Health Organization. (2019). TIP Tailoring Immunization Programmes. https://www.euro.who.int/en/health-topics/disease-prevention/vaccines-and-immunization/publications/2019/tip-tailoring-immunization-programmes-2019
   Google Scholar
• Yaqub, O., Castle-Clarke, S., Sevdalis, N., & Chataway, J. (2014). Attitudes to vaccination: A critical review. Social Science and Medicine, 112. https://doi.org/10.1016/j.socscimed.2014.04.018
   Google Scholar
• Zasuwa, G. (2016). Do the ends justify the means? How altruistic values moderate consumer responses to corporate social initiatives. Journal of Business Research, 69(9), 3714–3719. https://doi.org/10.1016/j.jbusres.2016.03.034
   Web of Science ®Google Scholar
• Zettler, I., Schild, C., Lilleholt, L., Kroencke, L., Utesch, T., Moshagen, M., Böhm, R., Mitja, D., B., & Geukes, K. (2020). The role of personality in COVID-19 related perceptions, evaluations, and behaviors: Findings across five samples, nine traits, and 17 criteria. Social Psychological and Personality Science, 13(1), 299–310. https://doi.org/10.31234/osf.io/pkm2a
   Web of Science ®Google Scholar
• Zhang, B., Kreps, S., McMurry, N., & McCain, R. M. (2020). Americans’ perceptions of privacy and surveillance in the COVID-19 pandemic. PLOS ONE, 15(12), e0242652. https://doi.org/10.1371/JOURNAL.PONE.0242652
   PubMed Web of Science ®Google Scholar