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Crowdsourcing: a systematic review of the literature using text mining

Lookup NU author(s): Professor Savvas Papagiannidis

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


Abstract

Purpose: This study is a systematic literature review of crowdsourcing that aims to present the research evidence so far regarding the extent to which it can contribute to organisational performance and produce innovations and provide insights on how organisations can operationalise it successfully. Design/methodology/approach: The systematic literature review revolved around a text mining methodology analysing 106 papers. Findings: The themes identified are performance, innovation, operational aspects and motivations. The review revealed a few potential directions for future research in each of the themes considered. Practical implications: This study helps researchers to consider the recent themes on crowdsourcing and identify potential areas for research. At the same time, it provides practitioners with an understanding of the usefulness and process of crowdsourcing and insights on what the critical elements are in order to organise a successful crowdsourcing project. Originality/value: This study employed quantitative content analysis in order to identify the main research themes with higher reliability and validity. It is also the first review on crowdsourcing that incorporates the relevant literature on crowdfunding as a value-creation tool.


Publication metadata

Author(s): Pavlidou I, Papagiannidis S, Tsui E

Publication type: Article

Publication status: Published

Journal: Industrial Management and Data Systems

Year: 2020

Volume: 120

Issue: 11

Pages: 2041-2065

Online publication date: 09/10/2020

Acceptance date: 01/10/2020

Date deposited: 24/10/2020

ISSN (print): 0263-5577

ISSN (electronic): 1758-5783

Publisher: Emerald Publishing Limited

URL: https://doi.org/10.1108/IMDS-08-2020-0474

DOI: 10.1108/IMDS-08-2020-0474


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