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Title:Enablers of successful employment outcomes for people with disabilities
Authors:ID Ikutegbe, Paul (Author)
ID Randle, Melanie (Author)
ID Sheridan, Lynnaire (Author)
ID Gordon, Robert (Author)
ID Allingham, Samuel (Author)
ID Connolly, Alanna (Author)
ID Dolnicar, Sara (Author)
Files:.pdf RAZ_Ikutegbe_Paul_2025.pdf (371,54 KB)
MD5: 936F70181A18CABE3B7304454702454C
 
URL https://doi.org/10.1017/jmo.2024.46
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FTŠ Turistica - Turistica – College of Tourism Portorož
Abstract:Successful employment outcomes are often beyond the reach of people with disabilities, but relatively little is known about the factors that best enable the achievement of this goal. Using survey data from 803 people with and without disabilities, we examine the association of eight factors with successful employment outcomes. Using regression tree analysis, five factors emerged as statistically significant predictors of successful employment outcomes for people with disabilities: corporate culture and climate, job characteristics, government support, employer attitudes, and societal attitudes. Key interrelationships between factors include: (1) government support linking with corporate culture and climate; and (2) job characteristics linking with corporate culture and climate. Findings are relevant to organisations and governments to inform policy and practice to improve employment outcomes for people with disabilities.
Publication version:Version of Record
Year of publishing:2025
Number of pages:str. 73-89
Numbering:Vol. 31, iss. 1
PID:20.500.12556/RUP-22601 This link opens in a new window
UDC:331.5
ISSN on article:1833-3672
DOI:10.1017/jmo.2024.46 This link opens in a new window
COBISS.SI-ID:237430787 This link opens in a new window
Publication date in RUP:03.02.2026
Views:48
Downloads:2
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Record is a part of a journal

Title:Journal of management & organization
Publisher:e-Content Management
ISSN:1833-3672
COBISS.SI-ID:513267737 This link opens in a new window

Document is financed by a project

Funder:ARC - Australian Research Council
Funding programme:Australian Research Council (ARC)
Project number:LP170100690
Name:Linkage Projects - Grant ID: LP170100690

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:invalidnost, zaposlitveni izidi, klasifikacija, analiza regresijskega drevesa


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