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Structured Crowdsourcing: A B2B Innovation Roadmap
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Industrial Engineering & Management. Aarhus Univ, Sch Business & Social Sci BSS, Business & Technol Dept, DK-8000 Aarhus C, Denmark.;Aarhus Univ, BSS, Interdisciplinary Ctr Org Architecture, DK-8000 Aarhus C, Denmark..
Aarhus Univ, Sch Business & Social Sci BSS, Business & Technol Dept, DK-8000 Aarhus C, Denmark..
Aarhus Univ, Sch Business & Social Sci BSS, Business & Technol Dept, DK-8000 Aarhus C, Denmark..
Aarhus Univ, Sch Business & Social Sci BSS, Business & Technol Dept, DK-8000 Aarhus C, Denmark..
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2015 (English)In: Proceedings Of The 10Th European Conference On Innovation And Entrepreneurship (Ecie 2015), 2015, 165-174 p.Conference paper (Refereed)Text
Abstract [en]

Crowdsourcing is an increasingly popular source of both ideas and funding. Crowdsourcing in a B2B context is less well understood and, as such, much of our discussion will highlight business-to-business crowdsourcing. More generally discussion will address crowdsourcing relative to innovation and technology development and customer relationship management. Examples will be used to derive a general roadmap, and to identify specific areas worthy of increased attention. The roadmap is developed as a six-stage approach that begins with task specification and concludes with management of inputs generated from crowd-sourcing efforts. The roadmap emphasizes on early stages in the overall innovation management activity that is related to development and specification of the task to be crowdsourced, the identification of the crowd, the creation of the environment to connect the crowdsourcer, the task and the crowd, motivation of the crowd, and actual activities in reaching the crowd. Managing the input from the crowd is regarded as a later stage in the overall innovation management but also as a focal point in the arguments for improving B2B crowdsourcing. In crowd selection processes this paper aims at classifying the crowd related to the closeness to the company requesting deliberate choices between employees, partners, prequalifying participants or the general crowd. Magnitude of insight, capability, expertise and volume is defined as critical to the outcome.

Place, publisher, year, edition, pages
2015. 165-174 p.
Series
, Proceedings of the European Conference on Entrepreneurship and Innovation, ISSN 2049-1050
Keyword [en]
crowdsourcing, B2B, distributed innovation, innovation clusters, innovation contests, knowledge management, roadmap
National Category
Economics and Business Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-298988ISI: 000371978800020ISBN: 9781910810507OAI: oai:DiVA.org:uu-298988DiVA: diva2:948584
Conference
10th European Conference on Innovation and Entrepreneurship (ECIE), SEP 17-18, 2015, Univ Genoa, Genoa, ITALY
Available from: 2016-07-12 Created: 2016-07-12 Last updated: 2016-09-06Bibliographically approved

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