A Study on Employee Well-Being and Mental Health

With an emphasis on work-life balance, stress, workload, and managerial assistance, this study examines the effects of mental health support and well-being initiatives. Fifty respondents, ages 18 to 60, were given an online survey as part of a quantitative research strategy. Twenty questions made up the survey, which included both closed-ended and open-ended questions about mental health, employee well-being, and demographics. The results showed that most respondents expressed satisfaction with the mental health services offered by their companies, a good work-life balance, and a sense of support from their teams and supervisors. However, other issues surfaced, such as the need for more flexible work schedules and sporadic stress. The findings imply that although firms are making strides in promoting the well-being of their employees, more may be done, especially in the areas of stigma reduction, support system enhancement, and workplace flexibility. In order to increase employee engagement and lower burnout, the study highlights the need of establishing a good, encouraging work environment that places a high priority on mental health, provides opportunities for professional development, and encourages open communication. These results offer insightful information to companies trying to enhance their workplace policies on employee satisfaction and mental wellness.-

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-09
DOI
https://doi.org/10.55041/ijsrem44116
Primary Topic
Job Satisfaction and Organizational Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on Employee Well-Being and Mental Health

Atul Gupta, Hardeep Kaur
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Job Satisfaction and Organizational Behavior
article

A Study on Employee Well-Being and Mental Health

Atul Gupta, Hardeep Kaur
article en

Abstract

With an emphasis on work-life balance, stress, workload, and managerial assistance, this study examines the effects of mental health support and well-being initiatives. Fifty respondents, ages 18 to 60, were given an online survey as part of a quantitative research strategy. Twenty questions made up the survey, which included both closed-ended and open-ended questions about mental health, employee well-being, and demographics. The results showed that most respondents expressed satisfaction with the mental health services offered by their companies, a good work-life balance, and a sense of support from their teams and supervisors. However, other issues surfaced, such as the need for more flexible work schedules and sporadic stress. The findings imply that although firms are making strides in promoting the well-being of their employees, more may be done, especially in the areas of stigma reduction, support system enhancement, and workplace flexibility. In order to increase employee engagement and lower burnout, the study highlights the need of establishing a good, encouraging work environment that places a high priority on mental health, provides opportunities for professional development, and encourages open communication. These results offer insightful information to companies trying to enhance their workplace policies on employee satisfaction and mental wellness.-

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Openalex Percentile: Top 92%
Job Satisfaction and Organizational Behavior
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.