中文版 | English
Title

Understanding the turnover intention of crowd workers of microtask crowdsourcing platform

Author
Corresponding AuthorLei,Yang
Publication Years
2019
ISSN
1683-0040
Source Title
Volume
2019-December
Pages
546-552
Abstract
Microtask crowdsourcing is a relatively new work form enabled by information technologies. For both practitioners and academics, understanding the turnover intention of the users, requesters and crowd workers respectively, of microtask crowdsourcing is very important. However, compared with the relatively large literature on requester, studies focusing on worker crowd workers are limited. Therefore, in this study, we investigate the crowd workers’ intentions to leave the microtask crowdsourcing. The research goal is to analyze the motivations of crowd workers systematically and identify those factors that influenced their turnover intention. Based on perceived value and justice perspectives, a research model is developed. The proposed hypotheses will be tested using data from Amazon Mechanical Turk.
Keywords
SUSTech Authorship
First ; Corresponding
Language
English
URL[Source Record]
Indexed By
EI Accession Number
20201408377776
EI Keywords
Electronic commerce
ESI Classification Code
Computer Applications:723.5
Scopus EID
2-s2.0-85082610287
Data Source
Scopus
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/406306
DepartmentSouthern University of Science and Technology
Affiliation
1.Southern University of Science and Technology,China
2.Hong Kong Shue Yan University,Hong Kong
3.Chinese University of Hong Kong,Hong Kong
First Author AffilicationSouthern University of Science and Technology
Corresponding Author AffilicationSouthern University of Science and Technology
First Author's First AffilicationSouthern University of Science and Technology
Recommended Citation
GB/T 7714
Lei,Yang,Cui,Xiling,Cheung,Waiman. Understanding the turnover intention of crowd workers of microtask crowdsourcing platform[C],2019:546-552.
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