Title | Understanding the turnover intention of crowd workers of microtask crowdsourcing platform |
Author | |
Corresponding Author | Lei,Yang |
Publication Years | 2019
|
ISSN | 1683-0040
|
Source Title | |
Volume | 2019-December
|
Pages | 546-552
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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 Type | Conference paper |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/406306 |
Department | Southern 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 Affilication | Southern University of Science and Technology |
Corresponding Author Affilication | Southern University of Science and Technology |
First Author's First Affilication | Southern 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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