Active Community Participation and Crowdworking Turnover: A Longitudinal Model and Empirical Test of Three Mechanisms
成果类型:
Article
署名作者:
Ma, Xiao; Khansa, Lara; Kim, Sung S.
署名单位:
University of Houston System; University of Houston; Virginia Polytechnic Institute & State University; Virginia Polytechnic Institute & State University; University of Wisconsin System; University of Wisconsin Madison
刊物名称:
JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
ISSN/ISSBN:
0742-1222
DOI:
10.1080/07421222.2018.1523587
发表日期:
2018
页码:
1154-1187
关键词:
electronic knowledge repositories
common method variance
job-satisfaction
ORGANIZATIONAL CITIZENSHIP
CONTINUANCE COMMITMENT
social-influence
online
IMPACT
Embeddedness
behaviors
摘要:
Crowdworkers, such as Mturk workers, face challenging work conditions, including low pay and unfair treatment. To overcome a lack of means to share information with other workers, they often self-organize in independent online communities, for example, TurkerNation. Although prior research has explored both the crowdwork and online community contexts, it has largely ignored crowdworkers' dual-context roles. This research provides evidence for the dual-context phenomenon. We propose three theory-driven mechanisms?embeddedness, cross-influence, and moderated heuristics?that, together with the conventional model and the sequential-update mechanism, explained up to 72% of key behavioral outcomes in both contexts. Moreover, crowdworkers' active participation in online communities had a persistent mitigating effect on their desires to quit working in the crowdworking environment. These findings add to a richer understanding of crowdworkers' integrated and evolving psychology within the dual-context environment. From a managerial perspective, our findings suggest that crowdwork platforms can better retain their workers by facilitating?and actively engaging with?their discussions in an embedded online community.