JISAR

Journal of Information Systems Applied Research

Volume 10

V10 N1 Pages 44-54

April 2017


Crowdsourcing Surveys: Alternative Approaches to Survey Collection


Jeffrey Cummings
University of North Carolina Wilmington
Wilmington, NC 28403, USA

Christopher Sibona
University of North Carolina Wilmington
Wilmington, NC 28403, USA


Abstract: A challenge often facing survey researchers is finding an appropriate sample that is representative of the target population. Researchers are often constrained by resources (e.g., cost) and time which often limits them to using convenience sampling (e.g., student population). With the increase availability and use of crowdsourcing services, many researchers are finding a resource that provides a larger, random population to target. This paper discusses two approaches to crowdsourcing, social networking site and Amazon Mechanical Turk, to help researchers understand the options available for crowdsourcing surveys. Techniques are presented as well as benefits and potential issues to these approaches for survey research.

Keywords: Surveys, Crowdsourcing, Amazon Mechanical Turk, social networking sites, Sample

Download this article: JISAR - V10 N1 Page 44.pdf


Recommended Citation: Cummings, J., Sibona, C. (2017). Crowdsourcing Surveys: Alternative Approaches to Survey Collection. Journal of Information Systems Applied Research, 10(1) pp 44-54. http://jisar.org/2017-10/ ISSN: 1946-1836. (A preliminary version appears in The Proceedings of CONISAR 2016)