Crowdsourcing Properties and Mechanisms of Mega Hackathons : The Case of Junction
Loading...
Access rights
openAccess
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal
View/Open full text file from the Research portal
Other link related to publication
View publication in the Research portal
View/Open full text file from the Research portal
Other link related to publication
Date
2023-09
Major/Subject
Mcode
Degree programme
Language
en
Pages
3021-3035
Series
IEEE Transactions on Engineering Management, Volume 70, issue 9
Abstract
Hackathons are time-bounded crowdsourcing events, which have recently prospered in many technology and science domains across the globe. We study Europe's largest hackathon, Junction, to better understand the distinct crowdsourcing properties and mechanisms of this type of hackathon as a form of tournament-based crowdsourcing. Moreover, we determined how they add value to attending companies and participants. In this regard, six qualitative and quantitative datasets from participants, companies, and the organizer were collected and analyzed. Our findings revealed five distinct crowdsourcing properties and mechanisms of mega hackathons, including intricate crowd selection, strong crowd vibe, instant crowd feedback, versatile crowd potential, and pervasive information technology. Based on our findings, we argue that these properties and mechanisms increase the possibility of finding innovative solutions to companies' problems in Junction-like mega hackathons. This article concludes with managerial implications for companies to consciously plan and prepare while knowing what to expect during the hackathon.Description
Publisher Copyright: CCBY
Keywords
Companies, Crowds, Crowdsourcing, crowdsourcing, Economics, hackathon, Junctions, open innovation, Problem-solving, Psychology, Technological innovation
Other note
Citation
Jaribion, A, Khajavi, S H, Jarvihaavisto, U, Nurmi, I, Gustafsson, R & Holmstrom, J 2023, ' Crowdsourcing Properties and Mechanisms of Mega Hackathons : The Case of Junction ', IEEE Transactions on Engineering Management, vol. 70, no. 9, pp. 3021-3035 . https://doi.org/10.1109/TEM.2021.3079107