685
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Influence of Media Capabilities on Trust in the Sharing Economy

, &
Pages 953-982 | Published online: 23 Aug 2023
 

ABSTRACT

Media capabilities influence consumers’ trust in online exchanges. However, in the sharing economy, where consumers interact with service providers through a platform, conventional models of trust must be revisited. Our research identifies how media synchronicity and anonymity influence the relative importance of institution-based trust in sharing economy exchanges. We collected data from 248 ride-hailing customers and 288 cryptocurrency users to test a moderated mediation model of trust. We find that in the sharing economy media synchronicity and anonymity lead customers to develop trust toward service providers directly and undermine the impact of institutional trust mechanisms. This indicates that in sharing economy exchanges, trust can be built directly with the service provider, or alternatively, indirectly through the platform. Consequently, organizations in the sharing economy can strategically design their systems to engender trust by choosing between (1) emphasizing the platform’s reputation or (2) encouraging direct communication between the consumer and service providers.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/07421222.2023.2229118

Notes

i This quotation is an excerpt from Ernest Hemingway’s letter to Dorothy Connable on February 17, 1953.

Additional information

Notes on contributors

Andrew Harrison

Andrew Harrison ([email protected]; corresponding author) is an Associate Professor of Information Systems at the Lindner College of Business, University of Cincinnati. His research interests include online fraud, deception, media capabilities, and virtual worlds. Dr. Harrison is currently engaged in projects studying the influence of media capabilities on deceptive communication, training approaches for online fraud deterrence, and information communication technology use to support diversity and social inclusion. He has published in MIS Quarterly, Journal of the Association for Information Systems, Journal of Business Ethics, Journal of Information Systems, Business Horizons, and other scholarly journals.</BIO1>

Akmal Mirsadikov

Akmal Mirsadikov ([email protected]) is an Assistant Professor of Information Systems at Wichita State University. He received his Ph.D. in MIS at Iowa State University. His research interests include computer mediated communication, deception detection, website credibility, information security, and privacy. Dr. Mirsadikov’s work has appeared in the AIS Transactions on HCI, International Journal of Human-Computer Studies, and Journal of Virtual Worlds Research, among others.</BIO2>

Truong (Jack) Luu

Truong (Jack) Luu ([email protected]) is a Ph.D. student of Information Systems from the Department of Operations, Business Analytics, and Information Systems at the Carl H. Lindner College of Business, University of Cincinnati. His research focuses on understanding social phenomena, such as trust and privacy concerns, associated with disruptive/emerging technologies such as the sharing economy, decentralized finance, and AI. He has published, or has forthcoming research in, Journal of Management Information Systems, Computers in Human Behavior, and Journal of Information Science. He was also awarded the University of Cincinnati’s Digital Futures Fellowship for his work in decentralized finance research.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 640.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.