IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i19p12496-d930362.html
   My bibliography  Save this article

In Search of a Value Proposition for COVID-19 Testing in the Work Environment: A Social Marketing Analysis

Author

Listed:
  • Claudia Parvanta

    (College of Public Health, University of South Florida, Tampa, FL 33612, USA)

  • Alberto J. Caban-Martinez

    (Department of Public Health Sciences, Leonard M. Miller School of Medicine, University of Miami, Miami, FL 33136, USA)

  • Naciely Cabral

    (College of Public Health, University of South Florida, Tampa, FL 33612, USA)

  • Cynthia K. Ball

    (Department of Occupational and Environmental Medicine, School of Medicine, University of Texas at Tyler, Tyler, TX 75708, USA)

  • Kevin G. Moore

    (Department of Biosystems and Agricultural Engineering, Ferguson College of Agriculture and the College of Engineering, Architecture and Technology, Oklahoma State University, Stillwater, OK 74078, USA)

  • Adrienne Eastlake

    (National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH 45226, USA)

  • Jeffrey L. Levin

    (Department of Occupational and Environmental Medicine, School of Medicine, University of Texas at Tyler, Tyler, TX 75708, USA)

  • Dalia E. Nessim

    (Department of Occupational and Environmental Medicine, School of Medicine, University of Texas at Tyler, Tyler, TX 75708, USA)

  • Matthew S. Thiese

    (Department of Family & Preventive Medicine, School of Medicine, University of Utah, Salt Lake City, UT 84108, USA)

  • Paul A. Schulte

    (Advance Technologies and Laboratories International, Gaithersburg, MD 20878, USA)

Abstract

Background: This study examined employer experience with SARS-CoV-2 (COVID-19) asymptomatic testing through a social marketing lens. Social marketing uses commercial marketing principles to achieve socially beneficial ends including improved health and safety behavior. Method: Twenty employers across 11 occupational sectors were interviewed about implementation of COVID-19 testing from January through April 2021. Recorded transcripts were coded and analyzed using marketing’s “Four P’s”: “product,” “price,” “place,” “promotion.” Results: COVID-19 tests (product) were uncomfortable, were easily confused, and didn’t solve problems articulated by employers. Testing was not widely available or didn’t line up with shifts or locations (place). The perceived price, which included direct and associated costs (e.g., laboratory fees, productivity loss, logistical challenges) was high. Most crucially, the time to receive (PCR) results negated the major benefit of less time spent in quarantine and challenged employer trust. A potential audience segmentation strategy based on perceptions of exposure risk also emerged. Conclusions: This social marketing analysis suggests ways to improve the value proposition for asymptomatic testing through changes in product, price, and placement features in line with employers’ expressed needs. Study findings can also inform creation of employee communication materials that balance perceived rewards of testing against perceived risks of exposure.

Suggested Citation

  • Claudia Parvanta & Alberto J. Caban-Martinez & Naciely Cabral & Cynthia K. Ball & Kevin G. Moore & Adrienne Eastlake & Jeffrey L. Levin & Dalia E. Nessim & Matthew S. Thiese & Paul A. Schulte, 2022. "In Search of a Value Proposition for COVID-19 Testing in the Work Environment: A Social Marketing Analysis," IJERPH, MDPI, vol. 19(19), pages 1-13, September.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12496-:d:930362
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/19/12496/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/19/12496/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    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. Seow Eng Ong & Davin Wang & Calvin Chua, 2023. "Disruptive Innovation and Real Estate Agency: The Disruptee Strikes Back," The Journal of Real Estate Finance and Economics, Springer, vol. 67(2), pages 287-317, August.
    2. Christiane Goodfellow & Dirk Schiereck & Steffen Wippler, 2013. "Are behavioural finance equity funds a superior investment? A note on fund performance and market efficiency," Journal of Asset Management, Palgrave Macmillan, vol. 14(2), pages 111-119, April.
    3. Philippe Fevrier & Sebastien Gay, 2005. "Informed Consent Versus Presumed Consent The Role of the Family in Organ Donations," HEW 0509007, University Library of Munich, Germany.
    4. Shuang Yao & Donghua Yu & Yan Song & Hao Yao & Yuzhen Hu & Benhai Guo, 2018. "Dry Bulk Carrier Investment Selection through a Dual Group Decision Fusing Mechanism in the Green Supply Chain," Sustainability, MDPI, vol. 10(12), pages 1-19, November.
    5. Senik, Claudia, 2009. "Direct evidence on income comparisons and their welfare effects," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 408-424, October.
    6. Jose Apesteguia & Miguel Ballester, 2009. "A theory of reference-dependent behavior," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 40(3), pages 427-455, September.
    7. Shoji, Isao & Kanehiro, Sumei, 2016. "Disposition effect as a behavioral trading activity elicited by investors' different risk preferences," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 104-112.
    8. Christoph Engel & Michael Kurschilgen, 2011. "Fairness Ex Ante and Ex Post: Experimentally Testing Ex Post Judicial Intervention into Blockbuster Deals," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 8(4), pages 682-708, December.
    9. Christina Leuker & Thorsten Pachur & Ralph Hertwig & Timothy J. Pleskac, 2019. "Do people exploit risk–reward structures to simplify information processing in risky choice?," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 76-94, August.
    10. Boone, Jan & Sadrieh, Abdolkarim & van Ours, Jan C., 2009. "Experiments on unemployment benefit sanctions and job search behavior," European Economic Review, Elsevier, vol. 53(8), pages 937-951, November.
    11. Singal, Vijay & Xu, Zhaojin, 2011. "Selling winners, holding losers: Effect on fund flows and survival of disposition-prone mutual funds," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2704-2718, October.
    12. Jos'e Cl'audio do Nascimento, 2019. "Behavioral Biases and Nonadditive Dynamics in Risk Taking: An Experimental Investigation," Papers 1908.01709, arXiv.org, revised Apr 2023.
    13. Alex Cukierman & Anton Muscatelli, 2001. "Do Central Banks have Precautionary Demands for Expansions and for Price Stability?," Working Papers 2002_4, Business School - Economics, University of Glasgow, revised Mar 2002.
    14. Dash, Saumya Ranjan & Maitra, Debasish, 2018. "Does sentiment matter for stock returns? Evidence from Indian stock market using wavelet approach," Finance Research Letters, Elsevier, vol. 26(C), pages 32-39.
    15. José F. Tudón M., 2019. "Perception, utility, and evolution," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 7(2), pages 191-208, December.
    16. Kerri Brick & Martine Visser & Justine Burns, 2012. "Risk Aversion: Experimental Evidence from South African Fishing Communities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 133-152.
    17. Francesco GUALA, 2017. "Preferences: Neither Behavioural nor Mental," Departmental Working Papers 2017-05, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    18. Lepone, Grace & Tian, Gary, 2020. "Usage of conditional orders and the disposition effect in the stock market," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    19. Shunda, Nicholas, 2009. "Auctions with a buy price: The case of reference-dependent preferences," Games and Economic Behavior, Elsevier, vol. 67(2), pages 645-664, November.
    20. Castilla, Carolina & Haab, Timothy C., 2010. "Asymmetric Search and Loss Aversion: Choice Experiment on Consumer Willingness to Search in the Gasoline Retail Market," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61672, Agricultural and Applied Economics Association.

    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:gam:jijerp:v:19:y:2022:i:19:p:12496-:d:930362. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.