Enhancing Service Quality Through Effective Language and Fuzzy SERVQUAL in Occupational Safety Companies

This study explores the application of the Fuzzy SERVQUAL method to evaluate and enhance service quality in Occupational Safety and Health (OSH) training, with a particular focus on effective communication.The research aims to identify gaps between participant expectations and perceptions, particularly regarding the clarity and effectiveness of language used during training sessions.Data were collected through questionnaires distributed to OSH Expert Training participants at various stages of their training, supplemented by direct observations to gain deeper insights into their interactions with service providers.The responses were then converted into fuzzy values and analyzed using a gap analysis approach to determine the extent to which service quality expectations were met.The results indicate that all gap values were negative, suggesting that the services provided have not yet achieved a satisfactory level for participants, especially in terms of communication effectiveness.The most significant gaps were found in the clarity of information, responsiveness of instructors, and overall service reliability.These findings highlight the need for improvements in language use and communication strategies to enhance participant satisfaction and service effectiveness.Based on the Fuzzy SERVQUAL analysis, specific recommendations are proposed to optimize service delivery through clearer and more structured communication approaches, ultimately improving the quality of OSH training and ensuring better engagement from participants.

Authors

Publication Details

Journal
International Journal of Safety and Security Engineering
Published
2025-02-28
DOI
https://doi.org/10.18280/ijsse.150211
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Service Quality Through Effective Language and Fuzzy SERVQUAL in Occupational Safety Companies

Rizkariani Sulaiman, Ahmad Padhil, Umar Mansyur, Sitti Rahmawati
International Journal of Safety and Security Engineering
Multi-Criteria Decision Making
article

Enhancing Service Quality Through Effective Language and Fuzzy SERVQUAL in Occupational Safety Companies

Rizkariani Sulaiman, Ahmad Padhil, Umar Mansyur, Sitti Rahmawati
article en

Abstract

This study explores the application of the Fuzzy SERVQUAL method to evaluate and enhance service quality in Occupational Safety and Health (OSH) training, with a particular focus on effective communication.The research aims to identify gaps between participant expectations and perceptions, particularly regarding the clarity and effectiveness of language used during training sessions.Data were collected through questionnaires distributed to OSH Expert Training participants at various stages of their training, supplemented by direct observations to gain deeper insights into their interactions with service providers.The responses were then converted into fuzzy values and analyzed using a gap analysis approach to determine the extent to which service quality expectations were met.The results indicate that all gap values were negative, suggesting that the services provided have not yet achieved a satisfactory level for participants, especially in terms of communication effectiveness.The most significant gaps were found in the clarity of information, responsiveness of instructors, and overall service reliability.These findings highlight the need for improvements in language use and communication strategies to enhance participant satisfaction and service effectiveness.Based on the Fuzzy SERVQUAL analysis, specific recommendations are proposed to optimize service delivery through clearer and more structured communication approaches, ultimately improving the quality of OSH training and ensuring better engagement from participants.

International Journal of Safety and Security EngineeringVol. 15(2)
Openalex Percentile: Top 94%
Multi-Criteria Decision Making
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.