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Title To Help without Expectation: Investigating Social Exchanges on a Mobile Crowdsourcing Platform for a Smart City
ID_Doc 36739
Authors Lee, CS; Goh, DHL; Osop, H
Title To Help without Expectation: Investigating Social Exchanges on a Mobile Crowdsourcing Platform for a Smart City
Year 2019
Published
DOI 10.1109/JCDL.2019.00097
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.
Author Keywords Crowdsourcing; Smart City; Mobile Applications; Social Exchange Theory; Helping
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH)
EID WOS:000555928200091
WoS Category Computer Science, Information Systems; Computer Science, Interdisciplinary Applications; Computer Science, Theory & Methods; Information Science & Library Science
Research Area Computer Science; Information Science & Library Science
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