JOURNAL ARTICLE

Smart Transformative Services to Defuse Crises? The Meaning of Trust for the Usage of Digital Contact Tracing Apps.

  • Published In: Marketing ZFP - Journal of Research & Management, 2023, v. 45, n. 1. P. 48 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Heimann, Kira Marie; Bilstein, Nicola; Haurand, Michelle Desiree 3 of 3

Abstract

Smart transformative services such as digital contact tracing apps are a means to offer transformative and economic value by self- monitoring contacts and improving the well-being of users, while also reducing concerns when using services during pandemics such as COVID-19. In this study, we identify significant factors as well ascommunication and promotion strategies to encourage digital contact tracing app nonusers to use such apps in order to benefit from their value-creating potential. This research contributes to transformative service literature by identifying digital contact tracing apps as a means to regain confidence in using services during a pandemic, thereby offering transformative and economic value. By integrating two trust dimensions as meaningful mediators, this research sheds light on the conditions under which social influence and Internet privacy concerns influence nonusers' usage intention. Moreover, the results not only identify significant factors influencing intended app usage but also reveal strategies for increasing actual app usage. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Marketing ZFP - Journal of Research & Management. 2023/01, Vol. 45, Issue 1, p48
  • Document Type:Article
  • Subject Area:Consumer Health
  • Publication Date:2023
  • ISSN:0344-1369
  • DOI:10.15358/0344-1369-2023-1-48
  • Accession Number:162314499
  • Copyright Statement:Copyright of Marketing ZFP - Journal of Research & Management is the property of Verlag Franz Vahlen GmbH and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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