Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/88463
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Industrial and Systems Engineering | en_US |
dc.creator | Pavlidou, I | en_US |
dc.creator | Papagiannidis, S | en_US |
dc.creator | Tsui, E | en_US |
dc.date.accessioned | 2020-11-26T09:27:45Z | - |
dc.date.available | 2020-11-26T09:27:45Z | - |
dc.identifier.issn | 0263-5577 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/88463 | - |
dc.language.iso | en | en_US |
dc.publisher | Emerald Group Publishing Limited | en_US |
dc.rights | © Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher’. | en_US |
dc.rights | The following publication Pavlidou, I., Papagiannidis, S. and Tsui, E. (2020), "Crowdsourcing: a systematic review of the literature using text mining", Industrial Management & Data Systems, Vol. 120 No. 11, pp. 2041-2065 is published by Emerald and is available at https://dx.doi.org/10.1108/IMDS-08-2020-0474 | en_US |
dc.subject | Crowdsourcing | en_US |
dc.subject | Crowdfunding | en_US |
dc.subject | Crowd venturing | en_US |
dc.subject | Systematic literature review | en_US |
dc.subject | Innovation | en_US |
dc.subject | Newproduct development | en_US |
dc.subject | Platforms | en_US |
dc.subject | Projects | en_US |
dc.subject | Collective intelligence | en_US |
dc.subject | Wisdom of the crowd | en_US |
dc.title | Crowdsourcing : a systematic review of the literature using text mining | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 2041 | en_US |
dc.identifier.epage | 2065 | en_US |
dc.identifier.volume | 120 | en_US |
dc.identifier.issue | 11 | en_US |
dc.identifier.doi | 10.1108/IMDS-08-2020-0474 | en_US |
dcterms.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. | en_US |
dcterms.abstract | Design/methodology/approach: The systematic literature review revolved around a text mining methodology analysing 106 papers. | en_US |
dcterms.abstract | 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. | en_US |
dcterms.abstract | 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. | en_US |
dcterms.abstract | 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. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Industrial management and data systems, 2020, v. 120, no. 11, p. 2041-2065 | en_US |
dcterms.isPartOf | Industrial management and data systems | en_US |
dcterms.issued | 2020 | - |
dc.identifier.eissn | 1758-5783 | en_US |
dc.description.validate | 202011 bcrc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a0480-n01 | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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CSIMDSRevisedFin.pdf | Pre-Published version | 963.86 kB | Adobe PDF | View/Open |
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