Get the crowd going - An empirical analysis toward a crowdsourcing engagement model

Nargess Tahmasbi, Henrik Sternberg

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

2 Scopus citations

Abstract

Crowdsourcing continues to attract attention from researchers, organizations, and policy makers alike. In particular, crowdsourcing projects that engage intrinsically motivated volunteers and are aimed at endeavors such as policy making, research, and social activism, need to understand how to create sustained engagement in their initiatives. A fair amount of research has been done on identifying users' motivation in crowdsourcing. However, crowdsourcing motivation literature still lacks sufficient theory-driven approaches. In this paper, we derive from theory of work motivation, the technology acceptance model, and the gamification concept to propose a model that can explain participants' motivation in crowdsourcing. To measure our model constructs, we conducted a survey on the users of a European crowdsourcing project, researching truck traffic tracking. The results of the exploratory factor analysis confirm that our constructs can be measured properly using our questionnaire. At the end of this paper, we explain our findings and the contribution of our study.

Original languageEnglish (US)
Title of host publicationProceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages729-738
Number of pages10
ISBN (Electronic)9780998133126
StatePublished - 2019
Event52nd Annual Hawaii International Conference on System Sciences, HICSS 2019 - Maui, United States
Duration: Jan 8 2019Jan 11 2019

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2019-January
ISSN (Print)1530-1605

Conference

Conference52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
Country/TerritoryUnited States
CityMaui
Period1/8/191/11/19

All Science Journal Classification (ASJC) codes

  • General Engineering

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