社会资本
情感(语言学)
计算机科学
互惠(文化人类学)
知识管理
工作(物理)
透视图(图形)
数据科学
关系资本
认知
社交网络(社会语言学)
心理学
万维网
社会心理学
社会学
社会化媒体
人工智能
机械工程
社会科学
沟通
智力资本
神经科学
工程类
作者
Paul M. Di Gangi,Jack L. Howard,Samuel Goh,Jason Bennett Thatcher
标识
DOI:10.1016/j.ijinfomgt.2022.102615
摘要
Microtask gig workers (MGWs) rely on digital platforms to arrange work agreements with requesters to complete well-defined microtasks. Many MGWs use an electronic network of practice (ENP) to facilitate information sharing about desirable and undesirable microtasks. This study uses social capital theory to theorize how social capital's dimensions – structural, cognitive, and relational – shape the development of uncertainty-reducing and individualized-skill benefits. Based on survey data from 436 Amazon Mechanical Turk (MTurk) workers, the findings demonstrate that unique social capital dimensions affect specific ENP benefits. Understanding the communication style of an ENP (i.e., cognitive social capital) positively influences the uncertainty-reducing benefits of microtask information quality (MIQ) related to MTurk work. Combined with expectations of reciprocity and trust in ENP members (i.e., relational social capital), MIQ shapes microtask opportunity recognition (MOR), whereby individual MGWs identify opportunities to complete financially beneficial microtasks. The present study demonstrates that contextual factors, based on the coopetive nature of microtask ENPs, affect the interrelated structure of social capital theory and its underlying dimensions. Lastly, post hoc findings demonstrate the influence of MOR on MGWs' financial performance, challenging previously held assumptions about the role of MIQ within the microtask literature.
科研通智能强力驱动
Strongly Powered by AbleSci AI