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International Journal of Electronic Business
Article . 2017 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2020
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article . 2017
Data sources: DBLP
DBLP
Article . 2020
Data sources: DBLP
International Journal of Electronic Business
Article . 2017
License: unspecified
Data sources: WU Research
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Oblivion of online reputation: how time cues improve online recruitment

Authors: Alexander Novotny; Sarah Spiekermann;

Oblivion of online reputation: how time cues improve online recruitment

Abstract

In online crowdsourcing labour markets, employers decide which job-seekers to hire based on their reputation profiles. If reputation systems neglect the aspect of time when displaying reputation profiles, though, employers risk taking false decisions, deeming an obsolete reputation to be still relevant. As a consequence, job-seekers might be unwarrantedly deprived of getting hired for new jobs and can be harmed in their professional careers in the long-run. This paper argues that exposing employers to the temporal context of job-seekers' reputation leads to better hiring decisions. The visible temporal context in reputation systems helps employers to ignore a job-seeker's obsolete reputation. An experimental lab study with 335 students shows that current reputation systems fall short of making them aware of obsolete reputation. In contrast, graphical time cues improve the social efficiency of hiring decisions.

obsolete reputation, online crowdsourcing labour markets, right to be forgotten

Country
Austria
Related Organizations
Keywords

FOS: Computer and information sciences, Computer Science - Computers and Society, 102013 Human-computer interaction, Computers and Society (cs.CY), 102013 Human-Computer Interaction

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
Green
bronze