Abstract
Drawing from the social exchange theory, this study investigates social exchanges on a mobile crowdsourcing platform (MCP) for a smart city. Specifically, we investigate how users' perceptions of features on a MCP influence their helping behaviors. Preliminary analysis shows that there are three main categories of features (i.e. information, positive emotions and ease of use) and two types of social exchange structures (i.e. reciprocal and productive). Results from regression analyses indicate that positive emotions and ease of use have effects on reciprocal exchange structure while information features have effects on productive exchange structure.
Original language | English |
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Title of host publication | Proceedings - 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 |
Editors | Maria Bonn, Dan Wu, Stephen J. Downie, Alain Martaus |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 416-417 |
Number of pages | 2 |
ISBN (Electronic) | 9781728115474 |
DOIs | |
Publication status | Published - Jun 2019 |
Externally published | Yes |
Event | 19th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 - Urbana-Champaign, United States Duration: Jun 2 2019 → Jun 6 2019 |
Publication series
Name | Proceedings of the ACM/IEEE Joint Conference on Digital Libraries |
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Volume | 2019-June |
ISSN (Print) | 1552-5996 |
Conference
Conference | 19th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 |
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Country/Territory | United States |
City | Urbana-Champaign |
Period | 6/2/19 → 6/6/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
ASJC Scopus Subject Areas
- General Engineering
Keywords
- Crowdsourcing
- Helping
- Mobile Applications
- Smart City
- Social Exchange Theory