Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

The effects of the socio‐demographic factors on judgement building in arbitration

Bibliographic Data

ID21334719
AuthorsMaziar Jafary (0000-0002-4956-4654, Faculty of Social Sciences, Faculty of Arts, and Faculty of Education University of Ottawa Ottawa Canada, corresponding author), Jules Carrière (Telfer School of Management University of Ottawa Ottawa Canada)
Year2024
Volume55
Issue3
Pages185-204
Publication date2024-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIndustrial Relations Journal (JOURNAL)
Journal identifiersISSN: 0019-8692 • E-ISSN: 1468-2338
PublisherWiley (PUBLISHER • GB)
DOI10.1111/irj.12422
OpenAlexW4391035661
LanguageEN
Citations received1
References cited31

This study examines how the socio‐demographic characteristics of arbitrators and of plaintiffs affect arbitrators' judgement bases for arbitration decisions. Two research questions are tested quantitatively based on a data set of arbitration decisions in the Canadian university sector collected from the website of the Canadian Legal Information Institute. We created two models of independent variables related to the socio‐demographic characteristics of arbitrators and plaintiffs. Multinomial logistic regression is used to examine the possible impacts of these variables on the justifications used by arbitrators to explain their decisions. The results indicate that both models significantly influence how arbitrators justify their arbitral decisions. The following variables significantly contribute to the models: arbitrator's age, arbitrator's professional experience in management, plaintiff's gender , and support of the plaintiff by a collective entity (union or association) . Young arbitrators are more likely to use “laws” and those who have professional experience in management tend to cite “evidence” to justify their arbitral decisions. Also, arbitrators are more likely to use “evidence” as their judgement basis for male plaintiffs who are supported by a collective entity. The details of these findings, limitations of the study, and future directions for research are further discussed

Actuarial science · Affect (linguistics) · Arbitration · Business · Judgement · Logistic regression · Multinomial logistic regression · Plaintiff · Political science · Set (abstract data type) · Computer Science · International Arbitration and Investment Law · Law · Law, Economics, and Judicial Systems · Psychology · Regulation and Compliance Studies

  • Automatic Card Shufflers and Antitrust Litigation

    Open Access•Tariq K Alhasan•Conflict Resolution Quarterly•2026

  • Social organization

    Charles Horton Cooley•1909

  • Symbolic Interactionism

    Herbert Blumer•Symbolic Interactionism•1986

  • L’action qui convient

    Open Access•Laurent Thévenot•Les formes de l’action•1990

  • The reality of moral expectations

    Luc Boltanski, Laurent Thévenot•Philosophical Explorations•2000

  • Quantitative Social Research Methods

    Kultar Singh, K M Singh•Quantitative Social Research…•2007

  • Individual Employment Rights Arbitration in the United States

    Open Access•Alexander J S Colvin, Mark D Gough•Industrial and Labor Relations…•2015

  • Resolving Discrimination Complaints in Employment Arbitration

    Open Access•J Ryan Lamare, David B Lipsky•Industrial and Labor Relations…•2019

  • Mind, Self, and Society

    George Herbert Mead, Hans Joas et al.•Mind, Self and Society•2015

Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae