Idea evaluation in innovation contest platforms: a network perspective

Altay Seref Ozaygen () and Christine Balagué ()
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Altay Seref Ozaygen: IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]
Christine Balagué: IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]

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Abstract: Innovation contest platforms are used to collect innovative ideas of consumers. Previous research on innovation contests has principally focused on participants' idea generation. In this paper, we analyze ideas evaluation by participants in coopetitive crowd innovation contests within a network perspective. Using data from an innovation contest platform, we create a network of users through their interactions. Then, we measure the impact of participants' centrality scores on received and given evaluation. Our results reveal that in-degree, out-degree and authority scores are correlated with the received positive evaluation, whereas authority is negatively correlated with the number of evaluations made. We also show that betweenness centrality and hub scores have no impact. By identifying the social influencers with network scores, we propose a methodology to reduce crowd innovation voting bias and to help managers to better select the ideas.

Keywords: Innovation contest; Crowd innovation; User evaluation; Social network analysis; CSR (search for similar items in EconPapers)
Date: 2018-08
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Published in Decision Support Systems, 2018, 112, pp.15 - 22. ⟨10.1016/j.dss.2018.06.001⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01852252

DOI: 10.1016/j.dss.2018.06.001

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