The impact of workforce diversity on job performance in public sector organisations

The primary objective of this study is to examine the impact of workforce diversity on job performance on workload -the ability to effectively and efficiently manage, execute, and complete assigned tasks or responsibilities within an agreed timeframe and quality standard, contributing to the achievement of organisational goals.The study used the following performance indicators related to job performance and workload, i.e., timing of work assignments, quality of work, efficiency in work and ability to give feedback on work activities.Data were sourced via primary and secondary sources.The primary source used a standardised questionnaire designed to align with the study's objectives and research hypothesis using the Likert scale method.Two thousand respondents were purposively selected across the public sector organisations such as ministries, departments and public agencies (MDAs) in a select market -Nigeria.The collected data was analysed using the SPSS statistical analysis software, and the hypothesis about the impact of workforce diversity on performance was tested.The results confirm that workforce diversity significantly impacts job performance and workload as it fosters timeliness, ensures quality control in tasks completed, and promotes feedback among employees in an organisation.

Authors

Publication Details

Journal
Journal of Entrepreneurship and Sustainability Issues
Published
2025-03-11
DOI
https://doi.org/10.9770/y7495453227
Citations
1
Primary Topic
Socioeconomic Development in MENA
Type
article
Field-Weighted Citation Impact
4.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of workforce diversity on job performance in public sector organisations

Anatolijs Kriviņš, Valters Kaže, Thomas Alama Etalong, Francis Okechukwu Chikeleze
1 citations
Journal of Entrepreneurship and Sustainability Issues
Socioeconomic Development in MENA
4.20
article

The impact of workforce diversity on job performance in public sector organisations

Anatolijs Kriviņš, Valters Kaže, Thomas Alama Etalong, Francis Okechukwu Chikeleze
article en
1 citations

Abstract

The primary objective of this study is to examine the impact of workforce diversity on job performance on workload -the ability to effectively and efficiently manage, execute, and complete assigned tasks or responsibilities within an agreed timeframe and quality standard, contributing to the achievement of organisational goals.The study used the following performance indicators related to job performance and workload, i.e., timing of work assignments, quality of work, efficiency in work and ability to give feedback on work activities.Data were sourced via primary and secondary sources.The primary source used a standardised questionnaire designed to align with the study's objectives and research hypothesis using the Likert scale method.Two thousand respondents were purposively selected across the public sector organisations such as ministries, departments and public agencies (MDAs) in a select market -Nigeria.The collected data was analysed using the SPSS statistical analysis software, and the hypothesis about the impact of workforce diversity on performance was tested.The results confirm that workforce diversity significantly impacts job performance and workload as it fosters timeliness, ensures quality control in tasks completed, and promotes feedback among employees in an organisation.

Journal of Entrepreneurship and Sustainability IssuesVol. 12(3)
Decent work and economic growth
Openalex Percentile: Top 9%
Socioeconomic Development in MENA
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.