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  4. Managing Complex Work Systems via Crowdworking Platforms: How Intel and Hyve Explore Future Technological Innovations
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Managing Complex Work Systems via Crowdworking Platforms: How Intel and Hyve Explore Future Technological Innovations

Journal
Hawaii International Conference on System Sciences (HICSS)
Type
conference paper
Date Issued
2018
Author(s)
Mrass, Volkmar
;
Peters, Christoph  
;
Leimeister, Jan Marco  
Research Team
IWI6, Crowdsourcing, CCC
Abstract
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.
Language
English
Keywords
Complex Work Systems
Crowdsourcing
Crowdworking Platforms
Work organization
HSG Classification
contribution to practical use / society
Event Title
Hawaii International Conference on System Sciences (HICSS)
Event Location
Waikoloa, Hawaii, USA
Event Date
02.01.2018
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/101440
Subject(s)

other research area

economics

information managemen...

business studies

Division(s)

IWI - Institute of In...

Eprints ID
251357
File(s)
Thumbnail Image
Name

JML_645.pdf

Size

849.48 KB

Format

Adobe PDF

Checksum (MD5)

77aaeb9ea5b36c65c9401a1a223171b3

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