To help without expectation: Investigating social exchanges on a mobile crowdsourcing platform for a smart city

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings - 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019
EditorsMaria Bonn, Dan Wu, Stephen J. Downie, Alain Martaus
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages416-417
Number of pages2
ISBN (Electronic)9781728115474
DOIs
Publication statusPublished - Jun 2019
Externally publishedYes
Event19th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 - Urbana-Champaign, United States
Duration: Jun 2 2019Jun 6 2019

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
Volume2019-June
ISSN (Print)1552-5996

Conference

Conference19th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019
Country/TerritoryUnited States
CityUrbana-Champaign
Period6/2/196/6/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

ASJC Scopus Subject Areas

  • General Engineering

Keywords

  • Crowdsourcing
  • Helping
  • Mobile Applications
  • Smart City
  • Social Exchange Theory

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