交易成本
现存分类群
数据库事务
工作(物理)
相关性(法律)
信息不对称
服务(商务)
知识管理
概念框架
计算机科学
业务
产业组织
经济
营销
微观经济学
社会学
工程类
政治学
社会科学
进化生物学
法学
生物
程序设计语言
机械工程
作者
Qiongrui Yao,LaKami T. Baker,Franz T. Lohrke
标识
DOI:10.1016/j.jbusres.2022.05.046
摘要
In the platform economy, digital labor platforms (DLPs) enable remote work by intermediating transactions between platform-dependent entrepreneurs (PDEs) and clients. Information asymmetry arises, however, because PDEs engaged in remote work often are more informed about their abilities than clients are, which may lead to the “lemons problem” and cause market failure. Applying transaction cost economics, we develop a framework that incorporates propositions about what conditions allow different forms of trust to emerge among PDEs, DLPs, and clients. We also delineate how building and sustaining trust should help mitigate market failure threats on DLPs, and, in turn, improve outcomes for PDEs, platforms, and clients. Our framework makes important conceptual extensions by highlighting the relevance of information asymmetry, linking trust development within the DLP-facilitated service triad, and underscoring transaction frequency’s importance, which has been largely overlooked in extant literature. It also provides practical implications for remote work involving PDEs, DLPs, and clients.
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