Algorithmic management: The case of Airbnb

Cheng, M; Foley, C

Algorithmic management: The case of Airbnb

Cheng, M

Foley, C

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Publication Type:: Journal Article
Citation:: International Journal of Hospitality Management, 2019, 83 pp. 33 - 36
Issue Date:: 2019-10-01

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Field	Value	Language
dc.contributor.author	Cheng, M https://orcid.org/0000-0003-3706-3374	en_US
dc.contributor.author	Foley, C https://orcid.org/0000-0002-8851-9119	en_US
dc.date.issued	2019-10-01	en_US
dc.identifier.citation	International Journal of Hospitality Management, 2019, 83 pp. 33 - 36	en_US
dc.identifier.issn	0278-4319	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132787
dc.description.abstract	© 2019 Elsevier Ltd Algorithmic management is rapidly emerging as a strategic management tool in the digital economy; however, little is known of the outcomes of algorithmic management for users of the sharing economy platforms. With a focus on one of the most rapidly growing peer-to-peer platforms, this research investigates how Airbnb hosts have responded to and adapted to the algorithmic management strategies employed by Airbnb. Findings suggest that asymmetry of algorithmic information can increase Airbnb's power to influence and control Airbnb hosts’ practices. Further, such information asymmetry can significantly hinder Airbnb hosts’ sense of control. This study contributes to the emerging academic dialogue on the algorithmic management in tourism and hospitality and advances the academic research on the human resources aspect of the sharing economy.	en_US
dc.relation.ispartof	International Journal of Hospitality Management	en_US
dc.relation.isbasedon	10.1016/j.ijhm.2019.04.009	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject.classification	Sport, Leisure & Tourism	en_US
dc.title	Algorithmic management: The case of Airbnb	en_US
dc.type	Journal Article
utslib.citation.volume	83	en_US
utslib.for	1506 Tourism	en_US
utslib.for	1505 Marketing	en_US
utslib.for	1504 Commercial Services	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Management Discipline
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2021-10-31T00:00:00+1100
pubs.publication-status	Published	en_US
pubs.volume	83	en_US

Abstract:

© 2019 Elsevier Ltd Algorithmic management is rapidly emerging as a strategic management tool in the digital economy; however, little is known of the outcomes of algorithmic management for users of the sharing economy platforms. With a focus on one of the most rapidly growing peer-to-peer platforms, this research investigates how Airbnb hosts have responded to and adapted to the algorithmic management strategies employed by Airbnb. Findings suggest that asymmetry of algorithmic information can increase Airbnb's power to influence and control Airbnb hosts’ practices. Further, such information asymmetry can significantly hinder Airbnb hosts’ sense of control. This study contributes to the emerging academic dialogue on the algorithmic management in tourism and hospitality and advances the academic research on the human resources aspect of the sharing economy.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/132787