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  4. Governing the Crowd: Developing Reference Process Modules for the Governance of the Crowd on Online Labour Platforms
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Governing the Crowd: Developing Reference Process Modules for the Governance of the Crowd on Online Labour Platforms

Journal
International Working Seminar on Production Economics (IWSPE)
Type
conference paper
Date Issued
2024-02-18
Author(s)
Anna Hupe
;
Kirsten Lange
;
Ulrich Bretschneider
;
Robert Refflinghaus
Research Team
IWI6
Abstract
Crowdwork is becoming more and more popular. Crowdwork refers to outsourcing paid tasks by a company or an individual to a mass of unknown individuals (crowdworker) via crowdworking platforms, which are also known as Online Labour Platforms. Because of an inherent anonymity in crowdworking, each crowdworking platform makes use of individual governance mechanisms to ensure that crowdworkers and companies act in a desirable way. However, the problem with these mechanisms is that they are especially designed for certain platforms. Therefore, these mechanisms cannot be adapted and used by other platforms. In this paper we empirically identify the specific mechanisms that are used by different platform provider. We then cluster these insights into general reference process modules. The resulting reference process modules serve crowdworking platform providers as a blueprint for effectively govern and control the crowd along the whole crowdworking process.
Language
English
Keywords
Crowdwork
Governance Mechanisms
Online Labor Platform
Reference Process Modul
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher place
Innsbruck, Austria
Start page
1
End page
13
Pages
13
Event Title
International Working Seminar on Production Economics (IWSPE)
Event Location
Innsbruck, Austria
Event Date
14- 18 Feb 2024
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/119492
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

File(s)
Thumbnail Image
Name

JML_962.pdf

Size

232.7 KB

Format

Adobe PDF

Checksum (MD5)

a8c6a74157f4162ebdaa348a8465d5ec

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