Theoretical fashions in crowdsourcing: A snapshot of IS research

Abhishek Tripathi, Nargess Tahmasbi, Gert Jan de Vreede

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

1 Scopus citations

Abstract

When new information technologies emerge, they stimulate the curiosity of Information System (IS) research and practice. Research and practices regarding emerging technologies can be characterized as IS fashions, which can lead to IS innovations. Yet, researchers and practitioners often wonder if these fashions are the next big thing or just a passing fad. One way to determine the contribution of a scientific fashion is to understand its theoretical state and maturity as reported in the literature. We performed a theoretical assessment of one specific IS fashion: crowdsourcing. The main objective of our research is to understand the characteristics of theories in crowdsourcing research and to determine the origins of these theories. Using Gregor's (2006) taxonomy, we performed a systematic literature review to identify and categorize the type of theories developed and used in crowdsourcing research. Close to forty percent of the surveyed articles are explanatory in nature, focusing on cause and effects relationships. Most articles use established theories to motivate research questions or hypotheses. Least common is theoretical research to motivate the design of crowdsourcing related artifacts.

Original languageEnglish (US)
Title of host publicationProceedings of the 50th Annual Hawaii International Conference on System Sciences, HICSS 2017
EditorsTung X. Bui, Ralph Sprague
PublisherIEEE Computer Society
Pages715-723
Number of pages9
ISBN (Electronic)9780998133102
StatePublished - 2017
Event50th Annual Hawaii International Conference on System Sciences, HICSS 2017 - Big Island, United States
Duration: Jan 3 2017Jan 7 2017

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2017-January
ISSN (Print)1530-1605

Conference

Conference50th Annual Hawaii International Conference on System Sciences, HICSS 2017
Country/TerritoryUnited States
CityBig Island
Period1/3/171/7/17

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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