A crowdsourcing approach to explore helping motives in a smart city: A preliminary analysis

Research output: Contribution to journalArticlepeer-review

Abstract

Drawing from the functional approach to volunteerism, the aim of this preliminary study is to investigate the motives driving people's willingness to use a mobile crowdsourcing app to voluntarily help others in a smart city. Data were collected from 125 individuals. Preliminary results indicate that there are three categories of motives (i.e. Values, Protective and Professional) underlying helping behaviors in a smart city.

Original languageEnglish
Pages (from-to)701-702
Number of pages2
JournalProceedings of the Association for Information Science and Technology
Volume56
Issue number1
DOIs
Publication statusPublished - Jan 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
Author(s) retain copyright, but ASIS&T receives an exclusive publication license

ASJC Scopus Subject Areas

  • General Computer Science
  • Library and Information Sciences

Keywords

  • Crowdsourcing
  • Helping
  • Motivations
  • Smart City

Fingerprint

Dive into the research topics of 'A crowdsourcing approach to explore helping motives in a smart city: A preliminary analysis'. Together they form a unique fingerprint.

Cite this