<div class="csl-bib-body">
<div class="csl-entry">Filler, J. (2018). <i>A Software platform design approach for knowledge sharing and self-organization among crowd workers</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.45850</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2018.45850
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/7939
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dc.description.abstract
Crowd work is a popular form of digital work. Anyone can work on crowd work platforms and it is a great way for companies to outsource tasks externally. This new form of work has developed strongly over the last few years, so that crowd workers and politics are now faced with grave grievances. This results in three problems: 1. There is no way to communicate with each other on a crowd work platform. 2. There are too many forums and chats where crowd workers can communicate with each other. This leads to a dissemination of knowledge. 3. Members of interest groups (e.g. Chamber of Labor in Vienna, ÖGB, IG Metall) have no possibility to get in direct contact with the crowd workers. In addition, there is a lack of opportunity to regularly collect the working conditions of the crowd worker. Our goal is to develop a central solution that addresses all these problems. Based on our research questions we first identified the needs of crowd workers, platform operators, employers and other stakeholders (e.g. chamber of labor in Vienna, ÖGB, IG Metall). Then we elaborated seven design principles and an architectural system design. These are intended to highlight key features to meet the needs of crowd workers and other stakeholders and to map identified business processes. The proposed approach follows an architectural design of a collective intelligence system (CIS). A CIS allows indirect communication among the users. This type of communication animates the system and leads to a lively exchange among users. To determine the correctness and usefulness of the design principles and the architectural design, a prototype has been implemented. In a case study, stakeholders were invited to evaluate the prototype. The results show a very good match between the design principles and the CIS approach for the crowd work domain. Therefore, it is concluded that the goal of the work has been achieved through the determined design principles and system design which optimally support crowd workers and stakeholders through a central platform.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
crowd work
en
dc.subject
software design
en
dc.subject
software architecture
en
dc.subject
collective intelligence system
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dc.subject
knowledge sharing
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dc.subject
design principles
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dc.title
A Software platform design approach for knowledge sharing and self-organization among crowd workers
en
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2018.45850
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Julia Filler
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dc.publisher.place
Wien
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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dc.contributor.assistant
Musil, Angelika
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tuw.publication.orgunit
E188 - Institut für Softwaretechnik und Interaktive Systeme
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dc.type.qualificationlevel
Diploma
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dc.identifier.libraryid
AC15242807
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dc.description.numberOfPages
158
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dc.identifier.urn
urn:nbn:at:at-ubtuw:1-119627
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dc.thesistype
Diplomarbeit
de
dc.thesistype
Diploma Thesis
en
dc.rights.identifier
In Copyright
en
dc.rights.identifier
Urheberrechtsschutz
de
tuw.advisor.staffStatus
staff
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tuw.assistant.staffStatus
staff
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tuw.advisor.orcid
0000-0002-3413-7780
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tuw.assistant.orcid
0000-0002-1025-1626
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item.openaccessfulltext
Open Access
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item.grantfulltext
open
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item.cerifentitytype
Publications
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item.mimetype
application/pdf
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item.openairecristype
http://purl.org/coar/resource_type/c_bdcc
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item.languageiso639-1
en
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item.openairetype
master thesis
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item.fulltext
with Fulltext
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crisitem.author.dept
E194 - Institut für Information Systems Engineering