IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v171y2024ics0148296323007385.html
   My bibliography  Save this article

Does information disclosure alleviate overcrowding? An empirical study based on large-scale COVID-19 nucleic acid test

Author

Listed:
  • Chen, Sihua
  • Qiu, Han
  • Wen, Xiang
  • Wang, Bolin
  • He, Wei
  • Shao, Xiuyan

Abstract

Nucleic acid testing is a critical means of combating COVID-19. However, the overcrowding caused by large-scale nucleic acid testing increases the risk of virus infection and challenges the existing health supply chain. Aiming at alleviating overcrowding, this paper studies the determinants of people’s choice of testing sites. The results show that physical distance and decision information exert positive influences, whereas the impact of urgency is not significant. The results of a specially designed computer simulation program verify the empirical study. It was also found that information disclosure does not affect the overall completion rate of the nucleic acid testing and the average time taken to complete the testing. However, it aggravates overcrowding in queues. The findings overturn the previous view that information disclosure improves social efficiency. This paper acts as a reference for governments dealing with overcrowding during large-scale social mobilization.

Suggested Citation

  • Chen, Sihua & Qiu, Han & Wen, Xiang & Wang, Bolin & He, Wei & Shao, Xiuyan, 2024. "Does information disclosure alleviate overcrowding? An empirical study based on large-scale COVID-19 nucleic acid test," Journal of Business Research, Elsevier, vol. 171(C).
  • Handle: RePEc:eee:jbrese:v:171:y:2024:i:c:s0148296323007385
    DOI: 10.1016/j.jbusres.2023.114379
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296323007385
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2023.114379?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shanka, Mesay Sata & Menebo, Mesay Moges, 2022. "When and How Trust in Government Leads to Compliance with COVID-19 Precautionary Measures," Journal of Business Research, Elsevier, vol. 139(C), pages 1275-1283.
    2. Ted O'Donoghue & Matthew Rabin, 2001. "Choice and Procrastination," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 121-160.
    3. Ming Liu & Ding Zhang, 2016. "A dynamic logistics model for medical resources allocation in an epidemic control with demand forecast updating," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(6), pages 841-852, June.
    4. Ouyang, Yanfeng, 2007. "The effect of information sharing on supply chain stability and the bullwhip effect," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1107-1121, November.
    5. Hasford, Jonathan & Hardesty, David M. & Kidwell, Blair, 2019. "Deliberation or distraction: How the presentation format of choice information impacts complex decision making," Journal of Business Research, Elsevier, vol. 103(C), pages 195-205.
    6. Wex, Felix & Schryen, Guido & Feuerriegel, Stefan & Neumann, Dirk, 2014. "Emergency response in natural disaster management: Allocation and scheduling of rescue units," European Journal of Operational Research, Elsevier, vol. 235(3), pages 697-708.
    7. Jiwoong Shin & Dan Ariely, 2004. "Keeping Doors Open: The Effect of Unavailability on Incentives to Keep Options Viable," Management Science, INFORMS, vol. 50(5), pages 575-586, May.
    8. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    9. Acuna, Jorge A. & Zayas-Castro, José L. & Charkhgard, Hadi, 2020. "Ambulance allocation optimization model for the overcrowding problem in US emergency departments: A case study in Florida," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    10. Ghazaleh Ahmadi & Reza Tavakkoli-Moghaddam & Armand Baboli & Mehdi Najafi, 2022. "A decision support model for robust allocation and routing of search and rescue resources after earthquake: a case study," Operational Research, Springer, vol. 22(2), pages 1039-1081, April.
    11. Hultman, Magnus & Skarmeas, Dionysis & Oghazi, Pejvak & Beheshti, Hooshang M., 2015. "Achieving tourist loyalty through destination personality, satisfaction, and identification," Journal of Business Research, Elsevier, vol. 68(11), pages 2227-2231.
    12. Keller, Kevin Lane, 2003. "Brand Synthesis: The Multidimensionality of Brand Knowledge," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(4), pages 595-600, March.
    13. Ran Kivetz & Oleg Urminsky & Yuhuang Zheng, 2006. "The Goal-Gradient Hypothesis Resurrected: Purchase Acceleration, Illusionary Goal Progress, and Customer Retention," Natural Field Experiments 00658, The Field Experiments Website.
    14. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
    15. Kalgotra, Pankush & Gupta, Ashish & Sharda, Ramesh, 2021. "Pandemic information support lifecycle: Evidence from the evolution of mobile apps during COVID-19," Journal of Business Research, Elsevier, vol. 134(C), pages 540-559.
    16. Simona Botti & Susan Broniarczyk & Gerald Häubl & Ron Hill & Yanliu Huang & Barbara Kahn & Praveen Kopalle & Donald Lehmann & Joe Urbany & Brian Wansink, 2008. "Choice under restrictions," Marketing Letters, Springer, vol. 19(3), pages 183-199, December.
    17. Khlystova, Olena & Kalyuzhnova, Yelena & Belitski, Maksim, 2022. "The impact of the COVID-19 pandemic on the creative industries: A literature review and future research agenda," Journal of Business Research, Elsevier, vol. 139(C), pages 1192-1210.
    18. Chen, Sihua & Du, Jiangze & He, Wei & Siponen, Mikko, 2022. "Supply chain finance platform evaluation based on acceptability analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
    19. Guo Li & Lin Tian & Hong Zheng, 2021. "Information Sharing in an Online Marketplace with Co‐opetitive Sellers," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3713-3734, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. d'Adda, Giovanna & Galliera, Arianna & Tavoni, Massimo, 2020. "Urgency and engagement: Empirical evidence from a large-scale intervention on energy use awareness," Journal of Economic Psychology, Elsevier, vol. 81(C).
    2. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    3. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    4. Shapiro, Jesse M., 2005. "Is there a daily discount rate? Evidence from the food stamp nutrition cycle," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 303-325, February.
    5. Michelle Baddeley, 2019. "Behavioural Macroeconomic Policy: New perspectives on time inconsistency," Papers 1907.07858, arXiv.org.
    6. Maria Alessandra Antonelli & Valeria De Bonis & Angelo Castaldo & Alessandrao Gandolfo, 2022. "Sin goods taxation: an encompassing model," Public Finance Research Papers 52, Istituto di Economia e Finanza, DSGE, Sapienza University of Rome.
    7. Altınok, Ahmet & Yılmaz, Murat, 2018. "Dynamic voluntary contribution to a public project under time inconsistency," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 114-140.
    8. Tyson, Christopher J., 2008. "Management of a capital stock by Strotz's naive planner," Journal of Economic Dynamics and Control, Elsevier, vol. 32(7), pages 2214-2239, July.
    9. Drew Fudenberg, 2006. "Advancing Beyond Advances in Behavioral Economics," Journal of Economic Literature, American Economic Association, vol. 44(3), pages 694-711, September.
    10. McLeish, Kendra N & Oxoby, Robert J, 2006. "Measuring Impatience: Elicited Discount Rates and the Barratt Impulsiveness Scale," MPRA Paper 1524, University Library of Munich, Germany.
    11. Ferraz, Eduardo & Mantilla, César, 2022. "A trade-off from the future: How risk aversion may explain the demand for illiquid assets," Working papers 97, Red Investigadores de Economía.
    12. Meyer, Seth A. & Pomplun, Jessica & Schill, Joshua, 2022. "Present bias in partially sophisticated and assisted agents," Mathematical Social Sciences, Elsevier, vol. 118(C), pages 36-47.
    13. Keith M. Marzilli Ericson, 2014. "On the Interaction of Memory and Procrastination: Implications for Reminders," NBER Working Papers 20381, National Bureau of Economic Research, Inc.
    14. Hammond, Peter J & Zank, Horst, 2013. "Rationality and Dynamic Consistency under Risk and Uncertainty," The Warwick Economics Research Paper Series (TWERPS) 1033, University of Warwick, Department of Economics.
    15. Tsvetan Tsvetanov & Kathleen Segerson, 2011. "Re-Evaluating the Role of Energy Efficiency Standards: A Time-Consistent Behavioral Economics Approach," Working Papers 07, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    16. Akin, Zafer, 2009. "Imperfect information processing in sequential bargaining games with present biased preferences," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 642-650, August.
    17. Christian D. Schade & Avichai Snir, 2020. "A lab test on the decision not to decide," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 1253-1291, November.
    18. Xiao, Tiaojun & Choi, Tsan-Ming, 2009. "Purchasing choices and channel structure strategies for a two-echelon system with risk-averse players," International Journal of Production Economics, Elsevier, vol. 120(1), pages 54-65, July.
    19. Marco Casari, 2009. "Pre-commitment and flexibility in a time decision experiment," Journal of Risk and Uncertainty, Springer, vol. 38(2), pages 117-141, April.
    20. Drouhin, Nicolas, 2020. "Non-stationary additive utility and time consistency," Journal of Mathematical Economics, Elsevier, vol. 86(C), pages 1-14.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:171:y:2024:i:c:s0148296323007385. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.