Digital reputation, skills and uncertainty reduction on global digital labour platforms

Dados Bibliográficos

ID21189726
AutoresNiels Beerepoot (0000-0002-0680-4312, Kasetsart University), Bart Lambregts (Kasetsart University), Jorien Oprins (Kasetsart University)
Ano2023
Volume17
Fascículo2
Data de publicação2023-01-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoWork Organisation Labour & Globalisation (JOURNAL)
Identificadores do periódicoISSN: 1745-641X • E-ISSN: 1745-6428
EditoraPluto Journals (PUBLISHER • GB)
DOI10.13169/workorgalaboglob.17.2.0007
OpenAlexW4389202835
IdiomaEN
Citações recebidas2
Referências citadas37

Digital labour platforms have become increasingly common for the trade of a range of digitally transferable services. To help participants mitigate the uncertainty that is inherent to trading on digital platforms, feedback mechanisms have become the main tool to gauge the ‘performed’ quality and reliability of platform participants. Based on an analysis of 750 written feedback texts, this article first examines which freelancer qualities (technical skills, generic skills or personal competences) matter most to clients and, therefore, are instrumental to the building of a freelancer’s digital reputation on a platform and, second, how exactly these feedback texts help reduce uncertainty when trading via a platform. Herewith, this paper adds to a deeper understanding of the ‘rules of the game’ on digital labour platforms

Data science · Multimedia · Reputation · Sociology · Computer Science · Digital Economy and Work Transformation · Gender, Feminism, and Media · Sharing Economy and Platforms