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Managing Complex Work Systems Via Crowdworking Platforms: How Intel and Hyve Explore Future Technological Innovations
Author(s) -
Volkmar Mrass,
Christoph Peters,
Jan Marco Leimeister
Publication year - 2018
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.3140628
Subject(s) - work (physics) , computer science , business , knowledge management , process management , engineering , mechanical engineering
Crowdsourcing has the potential to change the way how companies and other organizations are working currently. Numerous companies are already exploiting this new form of work organization and are utilising the “wisdom of crowds”. Crowdworking platforms as intermediaries that manage the work system including customer companies and crowd workers play an important role in this context. Nevertheless, they currently mostly manage rather simple work systems that process rather plain work. In this summary for the HICSS 2018 Doctoral Consortium, we depict our current work in progress that aims at investigating how such platforms could also manage more complex work systems – a question that is crucial for the future success of this business model. Using the case of Intel and the crowdworking platform Hyve, we investigate one successful approach to tackle this challenge, elaborate on our method used as well as the theoretical background and communicate our first, preliminary findings.

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