Platform Exploitation: When Service Agents Defect with Customers from Online Service Platforms

Keywords

customer defection, disintermediation, hazard model, opportunism, service platforms, sharing economy, theories in use

Abstract

Online, pure-labor service platforms (e.g., Zeel, Amazon Home Services, Freelancer.com) represent a multibillion-dollar market. An increasing managerial concern in such markets is the opportunistic behavior of service agents who defect with customers off platform for future transactions. Using multiple methods across studies, the authors explain this platform exploitation phenomenon. In Study 1, they utilize a theories-in-use approach to clarify why and when platform exploitation occurs and derive some hypotheses. Study 2 empirically tests these hypotheses using data from a health care platform that connects nurses and patients. The results indicate that high-quality, long-tenured service agents may enhance platform usage, but customers also are more likely to defect with such agents. Platform exploitation also increases with greater customer–agent interaction frequency (i.e., building stronger relationships). This phenomenon decreases agents’ platform usage due to capacity constraints caused by serving more customers off platform. These effects are stronger as service price increases (because higher prices equate to more fee savings), as service repetitiveness increases, and as the agent’s on-platform customer pool comprises more repeat and more proximal customers. Finally, the authors use two scenario-based experiments to establish some managerial strategies to combat platform exploitation.

Original Publication Citation

"Platform Exploitation: When Service Agents Defect with Customers from Online Service Platforms", Journal of Marketing, Edition 2, Volume 86, 2022

Document Type

Peer-Reviewed Article

Publication Date

2022

Publisher

Journal of Marketing

Language

English

College

Marriott School of Business

Department

Marketing

University Standing at Time of Publication

Associate Professor

Share

COinS