Title |
Determinants of occupational well-being among executive women |
Authors |
LUCIA CASADEMUNT, ANA MARÍA, ARIZA MONTES, JOSÉ ANTONIO, Carlos Morales-Gutierrez, Alfonso |
External publication |
No |
Means |
Acad.-Rev. Latinoam. Adm. |
Scope |
Article |
Nature |
Científica |
JCR Quartile |
4 |
SJR Quartile |
3 |
JCR Impact |
0.395 |
SJR Impact |
0.157 |
Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986172659&doi=10.1108%2fARLA-06-2013-0064&partnerID=40&md5=40e915a84f3e4b6af5dbeb30c31c1dc8 |
Publication date |
01/01/2013 |
ISI |
000323989500003 |
Scopus Id |
2-s2.0-84986172659 |
DOI |
10.1108/ARLA-06-2013.0064 |
Abstract |
Purpose - Employee well-being (WB) is a strategic reference of prime importance due to its impact on human capital, employee health and quality in working life, factors that are key to achieving successful organisations. The purpose of the current study is to assess the WB of female managers in the European workplace. The research analyses three dimensions (job satisfaction, comfort and enthusiasm) and the effect of job-related factors on each one of these.\n Design/methodology/approach - The Mental Health and Vitamin models (Warr, 1987) were taken as the starting-point of the research. An alternative econometric method an artificial neural network known as extreme learning machine was applied to a sample of 99 female managers collected from the 5th European Working Conditions Survey-2010\n Findings - The results obtained confirm that this methodology is valid to efficiently classify European female managers into those who feel satisfied with their jobs, calm and relaxed, and cheerful and in good spirits, and those who do not. Furthermore, the resulting model identifies the strongest factors important in determining the varied dimensions of occupational WB achieved.\n Originality/value - Even today, despite the important contribution women managers make to the management of organisations, they have to face many challenges and overcome serious barriers in achieving and staying in positions of leaderships when compared to their male counterparts. |
Keywords |
Well-being; Women executive; Working conditions; Vitamin model; Artificial neural network; Europe |
Universidad Loyola members |
|