Abstract
The objective of this study is to review crowdsourcing literature of the business and management disciplines and to know its relation with the open innovation concept. A systematic literature review is used in this study. Studies on crowdsourcing are published mostly in recent years, 2011–2013. Studies are highly dispersed, published in a very wide range of journals and are mostly based on a single case as data source. Content analysis of the findings of articles are performed to synthesize the findings in the extant literature. Most of the qualitative articles used single case method and most of the quantitative studies relied on online survey over a single crowdsourcing platform. Studies and scholars in the literature are from a limited number of countries. Although crowdsourcing as a concept overlaps with the open innovation concept, by no means, it can be considered a concept under the broad umbrella of open innovation concept. Based on identified gaps, future research avenues are presented.
Highlights
Crowdsourcing is one of several hot topics which have emerged in the last decade
Crowdsourcing as a concept overlaps with the open innovation concept, by no means, it can be considered a concept under the broad umbrella of open innovation concept
This study provides an integrative review of the extant literature on crowdsourcing in business and management disciplines
Summary
Crowdsourcing is one of several hot topics which have emerged in the last decade. The crowdsourcing concept is coined by Howe (2006) and defined as follows: “crowdsourcing represents the act of a company or institution taking a function once performed by employees and outsourcing it to an undefined (and generally large) network of people in the form of an open call”. The objective of this study is to review crowdsourcing literature of the B&M disciplines and to know its relation with the open innovation concept. Review method The Web of Science database is considered as the main source for articles. If an article used both quantitative and qualitative data and analysis, we included it in the category of mixed method (see Creswell 2013). An article is considered as a managerial when its focus is clearly towards practitioners even though qualitative and quantitative data and analysis, to some extent, are present in the article. The study by Short et al (2010) categorized articles in categories such as conceptual, empirical - qualitative, empirical – quantitative to content analysis.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
