References
- Abramowitz, J., Deacon, B., & Valentiner, D. (2007). The short health anxiety inventory: Psychometric properties and construct validity in a non-clinical sample. Cognitive Therapy and Research, 31(6), 871–883. https://doi.org/10.1007/s10608-006-9058-1
- Ågerfalk, P., Conboy, K., & Myers, M. (2020). Information systems in the age of pandemics: COVID-19 and beyond. European Journal of Information Systems, 29(3), 203–207. https://doi.org/10.1080/0960085x.2020.1771968
- Amirpur, M., & Benlian, A. (2015). Buying under pressure: Purchase pressure cues and their effects on online buying decisions. In ICIS 2015 proceedings. Fort Worth, TX, US.
- Bar-Anan, Y., Liberman, N., & Trope, Y. (2006). The association between psychological distance and construal level: Evidence from an implicit association test. Journal of Experimental Psychology, 135(4), 609–622. https://doi.org/10.1037/0096-3445.135.4.609
- Bayham, J., Kuminoff, N., Gunn, Q., & Fenichel, E. (2015). Measured voluntary avoidance behaviour during the 2009 A/H1N1 epidemic. Biological Sciences Proceedings, 282(1818). https://doi.org/10.1098/rspb.2015.0814
- BBC. (2020). Coronavirus: Crowdless app offers shoppers supermarket crowd levels [online]. Retrieved June 18, 2020, from https://www.bbc.com/news/uk-england-oxfordshire-52446658
- Becker, G. (1991). A note on restaurant pricing and other examples of social influences on price. Journal of Political Economy, 99(5), 1109–1116. https://doi.org/10.1086/261791
- Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100(5), 992–1026. https://doi.org/10.1086/261849
- Broniarczyk, S., & Griffin, J. (2014). Decision difficulty in the age of consumer empowerment. Journal of Consumer Psychology, 24(4), 608–625. https://doi.org/10.1016/j.jcps.2014.05.003
- Casson, M. (1982). The entrepreneur: An economic theory. Barnes & Noble Books.
- Chen, X., & Davison, R. (2019). Self-awareness or context-awareness? The role of awareness in herd behavior. In ICIS 2019 proceedings, Munich, Germany.
- Chen, Y., Wang, Q., & Xie, J. (2011). Online social interactions: A natural experiment on word of mouth versus observational learning. Journal of Marketing Research, 48(2), 238–354. https://doi.org/10.2139/ssrn.1501843
- Cheung, C., Xiao, B., & Liu, I. (2014). Do actions speak louder than voices? The signaling role of social information cues in influencing consumer purchase decisions. Decision Support Systems, 65, 50–58. https://doi.org/10.1016/j.dss.2014.05.002
- D’Angelo, J., & West, D. (2000). Mathematical thinking: Problem-solving and proofs (2nd ed.). Prentice Hall.
- Davidson, H. (2020). Around 20% of global population under coronavirus lockdown [online]. Retrieved July 1, 2020, from https://www.theguardian.com/world/2020/mar/24/nearly-20-of-global-population-under-coronavirus-lockdown
- Duan, W., Gu, B., & Whinston, A. (2009). Informational cascades and software adoption on the internet: An empirical investigation. MIS Quarterly, 33(1), 23–48. https://doi.org/10.2307/20650277
- ECDC. (2020). European centre for disease prevention and control: Q&A on COVID-19 [online]. Retrieved June 18, 2020, from https://www.ecdc.europa.eu/en/covid-19/questions-answers
- Goodman, J., & Paolacci, G. (2017). Crowdsourcing consumer research. Journal of Consumer Research, 44(1), 196–210. https://doi.org/10.1093/jcr/ucx047
- Google. (2020). Popular times, wait times, and visit duration [online]. Retrieved June 18, 2020, from https://support.google.com/business/answer/6263531?hl=en
- Hansen, J., & Wänke, M. (2010). Truth from language and truth from fit: The impact of linguistic concreteness and level of construal on subjective truth. Personality and Social Psychology Bulletin, 36(11), 1576–1588. https://doi.org/10.1177/0146167210386238
- Hong, W., Chan, F., Thong, J., Chasalow, L., & Dhillon, G. (2014). A framework and guidelines for context-specific theorizing in information systems research. Information Systems Research, 25(1), 111–136. https://doi.org/10.1287/isre.2013.0501
- Huang, L., Tan, C.-H., Ke, W., & Wei, K. (2018). Helpfulness of online review content: The moderating effects of temporal and social cues. Journal of the Association for Information Systems, 19(6), 503–522. https://doi.org/10.17705/1jais.00499
- Johns Hopkins University. (2020). COVID-19 Dashboard by the CSSE at JHU [online]. Retrieved June 26, 2020, from https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
- Kahneman, D. (2011). Thinking, fast and slow. Macmillan.
- Khurana, S., Qiu, L., & Kumar, S. (2019). When a doctor knows, it shows: An empirical analysis of doctors’ responses in a Q&A forum of an online healthcare portal. Information Systems Research, 30(3), 872–891. https://doi.org/10.1287/isre.2019.0836
- Kim, H., Rao, A., & Lee, A. (2009). It’s time to vote: The effect of matching message orientation and temporal frame on political persuasion. Journal of Consumer Research, 35(6), 877–889. https://doi.org/10.1086/593700
- Laato, S., Islam, A., Islam, M., & Whelan, E. (2020). What drives unverified information sharing and cyberchondria during the COVID-19 pandemic? European Journal of Information Systems, 29(3), 288–305. https://doi.org/10.1080/0960085x.2020.1770632
- Lau, J., Griffiths, S., Choi, K., & Tsui, H. (2010). Avoidance behaviors and negative psychological responses in the general population in the initial stage of the H1N1 pandemic in Hong Kong. BMC Infectious Diseases, 10(139), 1–13. https://doi.org/10.1186/1471-2334-10-139
- Lee, A., & Aaker, J. (2004). Bringing the frame into focus: The influence of regulatory fit on processing fluency and persuasion. Journal of Personality and Social Psychology, 86(2), 205–218. https://doi.org/10.1037/0022-3514.86.2.205
- Lee, A., Keller, P., & Sternthal, B. (2010). Value from regulatory construal fit: The persuasive impact of fit between consumer goals and message concreteness. Journal of Consumer Research, 36(5), 735–747. https://doi.org/10.1086/605591
- Lee, Y., & Strong, D. (2003). Knowing-why about data processes and data quality. Journal of Management Information Systems, 20(3), 13–39. https://doi.org/10.1080/07421222.2003.11045775
- Li, G., & Wang, J. (2019). Threshold effects on backer motivations in reward-based crowdfunding. Journal of Management Information Systems, 36(2), 546–573. https://doi.org/10.1080/07421222.2019.1599499
- Li, J., Tang, J., Jiang, L., Yen, D., & Liu, X. (2019). Economic success of physicians in the online consultation market: A signaling theory perspective. International Journal of Electronic Commerce, 23(2), 244–271. https://doi.org/10.1080/10864415.2018.1564552
- Li, X., & Wu, L. (2018). Herding and social media word-of-mouth: Evidence from groupon. MIS Quarterly, 42(4), 1331–1351. https://doi.org/10.25300/MISQ/2018/14108
- Lund, A., & Lund, M. (2020). Ordinal regression using SPSS statistics [online]. Retrieved April 20, 2020, from https://statistics.laerd.com/spss-tutorials/ordinal-regression-using-spss-statistics.php
- Machleit, K., Eroglu, S., & Mantel, S. (2000). Perceived retail crowding and shopping satisfaction: What modifies this relationship? Journal of Consumer Psychology, 9(1), 29–42. https://doi.org/10.1207/s15327663jcp0901_3
- McDonald, R., Chai, H., & Newell, B. (2015). Personal experience and the ‘psychological distance’ of climate change: An integrative review. Journal of Environmental Psychology, 44, 109–118. https://doi.org/10.1016/j.jenvp.2015.10.003
- Morganstein, J., Fullerton, C., Ursano, R., Donato, D., & Holloway, H. (2017). Pandemics: Health care emergencies. In B. Raphael, C. S. Fullerton, L. Weisaeth, & R. J. Ursano Eds., Textbook of disaster psychiatry (2 ed., pp. 270–284). Cambridge University Press. https://doi.org/10.1017/9781316481424.019
- Naidoo, R. (2020). A multi-level influence model of COVID-19 themed cybercrime. European Journal of Information Systems, 29(3), 306–321. https://doi.org/10.1080/0960085x.2020.1771222
- NSW. (2020). Emergency department waiting times in major NSW hospitals [online]. Retrieved April 16, 2020, from https://www.emergencywait.health.nsw.gov.au/#a
- Our World in Data. (2020). COVID-19: Government response stringency index [online]. Retrieved July 29 2020, from https://ourworldindata.org/grapher/covid-stringency-index
- Palan, S., & Schitter, C. (2017). Prolific.ac - A subject pool for online experiments. Journal of Behavioral and Experimental Finance, 17, 22–27. https://doi.org/10.1016/j.jbef.2017.12.004
- Parboteeah, D., Valacich, J., & Wells, J. (2009). The influence of website characteristics on a consumer’s urge to buy impulsively. Information Systems Research, 20(1), 60–78. https://doi.org/10.1287/isre.1070.0157
- Peer, E., Brandimarte, L., Samat, S., & Acquisti, A. (2017). Beyond the turk: Alternative platforms for crowdsourcing behavioral research. Journal of Experimental Social Psychology, 70, 153–163. https://doi.org/10.1016/j.jesp.2017.01.006
- Pennic, F. (2020). New app prevents exposure to coronavirus in medical waiting rooms [online]. Retrieved June 18, 2020, from https://hitconsultant.net/2020/03/17/new-app-prevents-exposure-to-coronavirus-in-medical-waiting-rooms/#.Xut7zWgzZm9
- Pietz, J., McCoy, S., & Wilck, J. (2020). Chasing John Snow: Data analytics in the COVID-19 era. European Journal of Information Systems. https://doi.org/10.1080/0960085X.2020.1793698
- Qiu, L., Shi, Z., & Whinston, A. (2018). Learning from your friends’ check-ins: An empirical study of location-based social networks. Information Systems Research, 29(4), 1044–1061. https://doi.org/10.1287/isre.2017.0769
- Rhee, H.-S., Ryu, Y., & Kim, C. (2005). I am fine but you are not: Optimistic bias and illusion of control on information security. In ICIS 2005 proceedings, Las Vegas, NV, USA.
- Semin, G., Higgins, E., De Montes, G., Estourget, L., & Valencia, J. (2005). Linguistic signatures of regulatory focus: How abstraction fits promotion more than prevention. Journal of Personality and Social Psychology, 89(1), 36–45. https://doi.org/10.1037/0022-3514.89.1.36
- Shaw, D. (2019). The hidden risks of the waiting room: Confidentiality and cross-infection. British Journal of General Practice, 69(683), 299. https://doi.org/10.3399/bjgp19X703925
- Spinney, L. (2020). Bleach baths and drinking hand sanitiser: Poison centre cases rise under Covid-19 [online]. Retrieved June 29, 2020, from https://www.theguardian.com/world/2020/jun/08/bleach-baths-and-drinking-hand-sanitiser-poison-centre-cases-rise-under-covid-19
- Sun, H. (2013). A longitudinal study of herd behavior in the adoption and continued use of technology. MIS Quarterly, 37(4), 1013–1041. https://doi.org/10.25300/MISQ/2013/37.4.02
- Thaler, R., & Sunstein, C. (2009). Nudge: Improving decisions about health, wealth, and happiness. Penguin.
- Thies, F., Wessel, M., & Benlian, A. (2016). Effects of social interaction dynamics on platforms. Journal of Management Information Systems, 33(3), 843–873. https://doi.org/10.1080/07421222.2016.1243967
- Trang, S., Trenz, M., Weiger, W., Tarafdar, M., & Cheung, C. (2020). One app to trace them all? Examining app specifications for mass acceptance of contact-tracing apps. European Journal of Information Systems. https://doi.org/10.1080/0960085X.2020.1784046
- Transit. (2020). You can avoid crowds on public transit with new, real-time crowding info [online]. Retrieved June 18, 2020, from.https://medium.com/transit-app/you-can-avoid-crowds-on-public-transit-with-new-real-time-crowding-info-b61e60f5502
- Trope, Y., & Liberman, N. (2003). Temporal construal. Psychological Review, 110(3), 403–421. https://doi.org/10.1037/0033-295X.110.3.403
- Trope, Y., & Liberman, N. (2010). Construal-level theory of psychological distance. Psychological Review, 117(2), 440–463. https://doi.org/10.1037/a0018963
- Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5(2), 207–232. https://doi.org/10.1016/0010-0285(73)90033-9
- Villarica, H. (2011). Study of the day: There are no winners in an overcrowded mall. The Atlantic. Retrieved April 16, 2020, from https://www.theatlantic.com/health/archive/2011/12/study-of-the-day-there-are-no-winners-in-an-overcrowded-mall/250217/
- Walden, E., & Browne, G. (2009). Sequential adoption theory: A theory for understanding herding behavior in early adoption of novel technologies. Journal of the Association for Information Systems, 10(1), 31–62. https://doi.org/10.17705/1jais.00181
- Wang, I., & Ackerman, J. (2019). The infectiousness of crowds: Crowding experiences are amplified by pathogen threats. Personality and Social Psychology Bulletin, 45(1), 120–132. https://doi.org/10.1177/0146167218780735
- Weimer, D., & Vining, A. (2005). Policy analysis: Concepts and practice (4th ed.). Prentice Hall.
- Wheaton, M., Abramowitz, J., Berman, N., Fabricant, L., & Olatunji, B. (2011). Psychological predictors of anxiety in response to the H1N1 (Swine Flu) pandemic. Cognitive Therapy and Research, 36(3), 210–218. https://doi.org/10.1007/s10608-011-9353-3
- WHO. (2020). Q&A on coronaviruses (COVID-19) [online]. Retrieved June 18, 2020, from https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub/q-a-detail/q-a-coronaviruses
- Wong, L., Hawkins, J., Langness, S., Murrell, K., Iris, P., & Sammann, A. (2020). Where are all the patients? Addressing Covid-19 fear to encourage sick patients to seek emergency care. NEJM Catalyst, 1(3), 1–12. https://doi.org/10.1056/CAT.20.0193
- Yu, Q., Allon, G., Bassamboo, A., & Iravani, S. (2018). Managing customer expectations and priorities in service systems. Management Science, 64(8), 3942–3970. https://doi.org/10.1287/mnsc.2017.2785
- Zaichkowsky, J. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(3), 341–352. https://doi.org/10.1086/208520