Towards a maturity model for the assessment of ideation in crowdsourcing projects
Imed Boughzala (),
Triparna de Vreede,
Cuong Nguyen and
Gert-Jan de Vreede
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Imed Boughzala: IMT-BS - DSI - Département Systèmes d'Information - 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) - EESC-GEM Grenoble Ecole de Management - UEVE - Université d'Évry-Val-d'Essonne - TEM - Télécom Ecole de Management
Triparna de Vreede: University of Nebraska Omaha - University of Nebraska System
Cuong Nguyen: University of Nebraska Omaha - University of Nebraska System
Gert-Jan de Vreede: University of Nebraska Omaha - University of Nebraska System
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Abstract:
Social media technology has enabled virtual collaborative environments such that people can actively interact, share knowledge, coordinate activities, solve problems and co-create value. Organizations have begun to leverage approaches and technologies to involve numerous people from outside their boundaries to perform organizational tasks. Crowd sourcing is a collaboration model enabled by people-centric web technologies to solve individual, organizational, and societal problems using a dynamically formed crowd of people who respond to an open call for participation. Despite the success and popularity of this phenomenon, there appears to be a lack of guidance on how to organize the ideation processes in crowd sourcing. To address this need, we propose a Crowd sourcing Ideation Maturity Assessment Model (CIMAM). The CIMAM is intended to be sufficiently generic to be applied to different types of crowd sourcing initiatives/projects. It can be used by external assessors or by crowd sourcing organizers themselves for self-assessments. CIMAM was developed through a literature review and built on the constructs of Pedersen et al. [22] model. This paper contributes to research by examining the various factors influencing crowd engagement and productivity.
Keywords: Ideation; Mass collaboration; Design science; Crowdsourcing; Maturity models (search for similar items in EconPapers)
Date: 2014-01-06
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Published in HICSS '14 : 47th Annual Hawaii International Conference on System Sciences, Jan 2014, Waikoloa, Hawaii, United States. pp.483 - 490, ⟨10.1109/HICSS.2014.67⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01244283
DOI: 10.1109/HICSS.2014.67
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