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  4. Managing Complex Work Systems via Crowdworking Platforms: How Deutsche Bank Explores AI Trends and the Future of Banking with Jovoto
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Managing Complex Work Systems via Crowdworking Platforms: How Deutsche Bank Explores AI Trends and the Future of Banking with Jovoto

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 evolved into a powerful new instrument for companies. In the last years, crowdworking platforms that manage work systems as intermediaries between crowdsourcers and crowd workers have increasingly been used. Nevertheless, they currently often manage rather simple work systems. Although they have the potential for managing more complex ones, there is still little knowledge how this can be done and what measures are necessary to do so. To explore this question in more detail, we investigate three seminal projects that Deutsche Bank completed with the crowdworking platform Jovoto and that aimed at exploring AI trends and developing concepts for the future of banking. We derive measures necessary for the successful management of complex work systems and provide a model as guidance for both companies and crowdworking platform operators. With our findings, we extend current knowledge in the realm of IS, organizational theory, and platform ecosystems.
Language
English
Keywords
Complex Work Systems
Crowdsourcing
Crowdworking Platforms
Reference Process Model Deutsche Bank
HSG Classification
contribution to practical use / society
Event Title
Hawaii International Conference on System Sciences (HICSS)
Event Location
Waikoloa, Hawaii, USA
Event Date
03.01.2018-06.01.2018
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/101439
Subject(s)

economics

information managemen...

business studies

finance

Division(s)

IWI - Institute of In...

Eprints ID
251709
File(s)
Thumbnail Image

open.access

Name

JML_651.pdf

Size

926.37 KB

Format

Adobe PDF

Checksum (MD5)

8d2a208bf4631030b3156601930f7b30

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