Competition-based crowdsourcing software development: a multi-method study from a customer perspective

dc.contributor.authorStol, Klaas-Jan
dc.contributor.authorCaglayan, Bora
dc.contributor.authorFitzgerald, Brian
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2018-10-04T14:46:33Z
dc.date.available2018-10-04T14:46:33Z
dc.date.issued2018
dc.date.updated2018-10-03T09:35:37Z
dc.description.abstractCrowdsourcing is emerging as an alternative outsourcing strategy which is gaining increasing attention in the software engineering community. However, crowdsourcing software development involves complex tasks which differ significantly from the micro-tasks that can be found on crowdsourcing platforms such as Amazon Mechanical Turk which are much shorter in duration, are typically very simple, and do not involve any task interdependencies. To achieve the potential benefits of crowdsourcing in the software development context, companies need to understand how this strategy works, and what factors might affect crowd participation. We present a multi-method qualitative and quantitative theory-building research study. Firstly, we derive a set of key concerns from the crowdsourcing literature as an initial analytical framework for an exploratory case study in a Fortune 500 company. We complement the case study findings with an analysis of 13,602 crowdsourcing competitions over a ten-year period on the very popular Topcoder crowdsourcing platform. Drawing from our empirical findings and the crowdsourcing literature, we propose a theoretical model of crowd interest and actual participation in crowdsourcing competitions. We evaluate this model using Structural Equation Modeling. Among the findings are that the level of prize and duration of competitions do not significantly increase crowd interest in competitions.en
dc.description.sponsorshipEuropean Regional Development Fund (through the Southern & Eastern Regional Operational Programme to Lero—the Irish Software Research Centre (www.lero.ie))en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationStol, K.-J., Caglayan, B. and Fitzgerald, B. (2018) 'Competition-Based Crowdsourcing Software Development: A Multi-Method Study from a Customer Perspective', IEEE Transactions on Software Engineering, In Press, doi: 10.1109/TSE.2017.2774297en
dc.identifier.doi10.1109/TSE.2017.2774297
dc.identifier.endpage25en
dc.identifier.issn0098-5589
dc.identifier.journaltitleIEEE Transactions On Software Engineeringen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/6977
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Starting Investigator Research Grant (SIRG)/15/SIRG/3293/IE/Software Development with Alternative Workforces/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2094/IE/Lero - the Irish Software Research Centre/en
dc.relation.urihttps://ieeexplore.ieee.org/abstract/document/8119867
dc.rights© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectCrowdsourcingen
dc.subjectSoftware engineeringen
dc.subjectMulti-method studyen
dc.subjectCase studyen
dc.subjectSample studyen
dc.subjectCrowdsourcingen
dc.subjectSoftwareen
dc.subjectOutsourcingen
dc.subjectMathematical modelen
dc.subjectCompaniesen
dc.titleCompetition-based crowdsourcing software development: a multi-method study from a customer perspectiveen
dc.typeArticle (peer-reviewed)en
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
TSE-Stol-2018.pdf
Size:
2.56 MB
Format:
Adobe Portable Document Format
Description:
Accepted version
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description: