Home
Resource
What if you are managed by the algorithm? Effects of trust in and knowledge of a ride-hailing platform on drivers’ job performance through a social exchange perspective
PDF
PDF format is widely accepted and good for printing.
Plug-in required
Access to this PDF has been restricted at the author's request. It will be publicly available after April 27, 2025.
Citation & Export
View Usage Statistics
Staff View

Citation & Export
Hide

Simple citation

Zhang, Bulin. What if you are managed by the algorithm? Effects of trust in and knowledge of a ride-hailing platform on drivers’ job performance through a social exchange perspective. Retrieved from https://doi.org/doi:10.7282/t3-28mc-8r08

Export

Click here for information about Citation Management Tools at Rutgers.

Statistics
Hide

Description

TitleWhat if you are managed by the algorithm? Effects of trust in and knowledge of a ride-hailing platform on drivers’ job performance through a social exchange perspective
NameZhang, Bulin (author); Liu, Xiangmin (chair); Kraimer, Maria (member); Feng, Jie (member); van Jaarsveld, Danielle (member); Rutgers University; School of Graduate Studies
Date Created2023
Other Date2023-05 (degree)
SubjectManagement, Organizational behavior, Shared taxi services, Taxicab drivers
Extent179 pages
DescriptionA ride-hailing platform has revolutionized how services are conducted and exchanged in the taxi industry. With technology and customers replacing supervisory control, the ride-hailing work is unique in terms of having multiple partners interacting with each other for value proposition. With a multi-party characteristic identified, I argue that some of the previous research is limited in terms of its emphasis on dyadic exchanges or a discussion focused on the sole function of the platform without integration. As such, it’s still unclear how a platform has transformed and thus impacted our understanding of work exchanges in the ride-hailing work. To address this question, by integrating generalized exchange theory (e.g., Bearman, 1997) with studies of platform work, I propose that ride-hailing services can be best characterized as a triangular exchange mediated by platform technology. Although this type of work has been promoted to enhance work efficiency (Mäntymäki et al., 2019), it brings risks of non-indirect reciprocity and opportunities of free riding to drivers. To address these concerns, I argue that drivers can either trust a platform’s governance of the multilateral exchange or take strategies to combat information asymmetry by gaining knowledge of the platform. By doing so, drivers’ perceptions of a multi-party psychological contract violation can be affected, which, in turn, determines their job performance. To test my hypotheses, I conducted a field investigation using objective performance data obtained from organizational archives and survey data collected from 341 ride-hailing drivers over a 4-month period. My results provide some support for my predictions. I discuss theoretical and practical implications, limitations, as well as future directions.
NotePh.D.
NoteIncludes bibliographical references
Genretheses
Persistent URLhttps://doi.org/doi:10.7282/t3-28mc-8r08
LanguageEnglish
CollectionSchool of Graduate Studies Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
Version 8.5.5
Rutgers University Libraries - Copyright ©2024