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  5. Algorithms at work: Control and resistance in platform organisations
 
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Algorithms at work: Control and resistance in platform organisations

Author(s)
McDaid, Emma  
Uri
http://hdl.handle.net/10197/29153
Date Issued
2020
Date Available
2025-10-08T11:49:48Z
Abstract
This thesis aims to examine the nature of control and labour resistance in platform organisations. Specifically, it is concerned with the nature and effects of management accounting control as enacted over disaggregated forms of work. In platform organisations such as Uber, Airbnb and eBay, processes of control organise the performance of work from extraordinary distance and manage millions of individuals who seek freedom and empowerment as entrepreneurs. Platform organisations advance a disintermediated, and at times a moral, agenda; a technology infrastructure facilitates market exchanges between buyers and sellers in ways that lower unemployment and create competition. It is an agenda that delivers unprecedented wealth to platform investors; Uber Technologies Plc. was regarded as the most valuable privately owned company in the world before listing an initial public offering1 in May 2019 (DeBruyne, 2017). As such, the overarching motivation for this thesis is to investigate what underlies this evolution in free-marketopia, where the promise of empowerment and independence for workers is seen by some to correspond with a paradigmatic shift in capitalism.
Type of Material
Doctoral Thesis
Publisher
University of New South Wales. Business School
Copyright (Published Version)
2020 the Author
Subjects

Sharing economy

Platform organisation...

Uber

Faceless control

Worker resistance

Precarity

Collective action

DOI
10.26190/unsworks/2201
Web versions
http://hdl.handle.net/1959.4/70582
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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public version.pdf

Size

2.9 MB

Format

Adobe PDF

Checksum (MD5)

eabef65eda4970b8c5926bef3a25ae6f

Owning collection
Business Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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