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Prediction of employer–employee relationships from sociodemographic variables and social values in Brunei public and private sector workers
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Abstract:
The purpose of the study was to identify the sociodemographic variables and social
value correlates and predictors of employer–employee relationship problems in a random sample
of 860 Brunei public and private sector workers of both genders. A quantitative field survey
design was used and data were analyzed by correlation and logistic regression. The rationale
and justification for using this approach is explained. The main sociodemographic correlates
and predictors of employer–employee relationship problems in this study were educational
level and the district in which the employee resided and worked. Other correlates, but not
necessarily predictors, of employer–employee relationship problems were seeking help from
the Bomo (traditional healer); obtaining help from online social networking; and workers with
children in the family. The two best and most significant social value correlates and predictors
of employer–employee relationship problems included interpersonal communications; and
self-regulation and self-direction. Low scorers on the following variables were also associated
with high likelihood for possessing employer–employee relationship problems: satisfaction
with work achievements; and peace and security, while low scorers on work stress had lower
odds of having employer–employee relationship problems. Other significant social value correlates,
but not predictors of employer–employee relationship problems were self-presentation;
interpersonal trust; peace and security; and general anxiety. Consistent with findings of relevant
previous studies conducted elsewhere, there were the variables that correlated with and predicted
employer–employee relationship problems in Brunei public and private sector workers. Having identified these, the next step, efforts and priority should be directed at addressing the
presenting issues via counseling and psychotherapy with affected employees. Further research
is recommended to understand better the problem and its possible solutions.
Description:
Date:
2017
Authors:
Lawrence Mundia
Salwa Mahalle
Rohani Matzin
Gamal Abdul Nasir Zakaria
Nor Zaiham Midawati Abdullah
Siti Norhedayah Abdul Latif
Publisher:
Sultan Hassanal Bolkiah Institute of Education (SHBIE)
