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Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2024
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2024
License: CC BY
Data sources: Datacite
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DETERMINING THE IMPACT OF REWARDS AND COMPENSATION ON EMPLOYEE ENGAGEMENT WORKING IN THE LIBYAN CONSTRUCTION INDUSTRY

Authors: RABIA S. AJEEB ABDALLA; JOUDA R. JOUDA HAMAD; ABDULKARIM OMRAN GEBRIL; ABDELNASER OMRAN;

DETERMINING THE IMPACT OF REWARDS AND COMPENSATION ON EMPLOYEE ENGAGEMENT WORKING IN THE LIBYAN CONSTRUCTION INDUSTRY

Abstract

Abstract Employee engagement requires compensation and benefits, which are essential prerequisites. This involves both monetary rewards and intangible benefits, like recognition and other perks. The purpose of this study is to ascertain how rewards and remuneration affect employee engagement in the Libyan construction industry. The instrument for gathering data was a standardized questionnaire, which was given to 400 people at random in the chosen study area. However, only 310 of the 400 questionnaires that were distributed were actually retrieved, yielding a response rate of 77.5%. The statistical analysis software SPSS (version 23.0) was used to perform a range of statistical analyses. The findings show that rewards and compensation have a considerable positive impact on employee engagement, which in turn has a significant beneficial effect on project management success.

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Keywords

Employee, Engagement, Reward, Compensation, Construction industry, Libya.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
0
Average
Average
Average
Green