The analysis of public service motivation's influence on job enjoyment and task performance in health workers

This study is aimed at determining whether there is an influence of public service motivation on the performance of health workers' duties, the influence of work pleasure on the work pleasure of health employees, and the influence on work pleasure through the mediation of work satisfaction. The study is in the form of an observational causative study with a cross sectional design, which aims to determine the influence between variables based on measurement results without intervention. The data were collected through an online questionnaire in April 2024 and analyzed using the PLS-SEM technique to estimate the degree of relationship between variables in the structural model. The results of the analysis of the measurement component (outer model) shows good measurability of all indicators marked by outer loading which is high, as well as the validity of discrimination is quite good. The model has a good degree of accuracy because it is able to account for about two-thirds of all variables. For the management of the hospital, it is recommended to add the criteria of high publicly service motivation as a requirement in employee recruitment. Further research is suggested to complement the model by including factors such as work environment, organizational culture, workload, and superior leadership style as covariates. This could help in identifying unique challenges or opportunities for improving task performance and job satisfaction in different healthcare environments, ultimately leading to more tailored and effective management strategies.

Authors

Institutions

Publication Details

Journal
Indonesian Journal of Multidisciplinary Science
Published
2024-08-25
DOI
https://doi.org/10.55324/ijoms.v3i11.976
Primary Topic
Employee Performance and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The analysis of public service motivation's influence on job enjoyment and task performance in health workers

Mentiana Sibarani, Jane Deasy Waani
Indonesian Journal of Multidisciplinary Science
Employee Performance and Management
article

The analysis of public service motivation's influence on job enjoyment and task performance in health workers

Mentiana Sibarani, Jane Deasy Waani
article en

Abstract

This study is aimed at determining whether there is an influence of public service motivation on the performance of health workers' duties, the influence of work pleasure on the work pleasure of health employees, and the influence on work pleasure through the mediation of work satisfaction. The study is in the form of an observational causative study with a cross sectional design, which aims to determine the influence between variables based on measurement results without intervention. The data were collected through an online questionnaire in April 2024 and analyzed using the PLS-SEM technique to estimate the degree of relationship between variables in the structural model. The results of the analysis of the measurement component (outer model) shows good measurability of all indicators marked by outer loading which is high, as well as the validity of discrimination is quite good. The model has a good degree of accuracy because it is able to account for about two-thirds of all variables. For the management of the hospital, it is recommended to add the criteria of high publicly service motivation as a requirement in employee recruitment. Further research is suggested to complement the model by including factors such as work environment, organizational culture, workload, and superior leadership style as covariates. This could help in identifying unique challenges or opportunities for improving task performance and job satisfaction in different healthcare environments, ultimately leading to more tailored and effective management strategies.

Indonesian Journal of Multidisciplinary ScienceVol. 3(11)
Harapan Bangsa Institute of Technology (ID), Universitas Patria Artha (ID)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 71%
Employee Performance and Management
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.