Assessment of the Psychological Well-being of Women at the Workplace

The world balancing work and life can cause anxiety, sorrow, and reduced efficiency, especially ‎for women who juggle the dual responsibilities of home and office. Working women are no ‎longer scarce and are now recognized as an integral part of the workforce. Working women ‎experience specific challenges like bias, stress, and problems at work and home, and they ‎frequently face discrimination and stress physically and mentally. The purpose of this study was ‎to clarify the psychological experiences and challenges that women face in the workplace, ‎highlighting problems such as career stagnation, work-life balance, and bias against gender. Using ‎a quantitative research approach, the authors surveyed and interviewed 500 women from various ‎industries, like manufacturing, hospitality, healthcare, education, and information technology. ‎The results reveal a very high level of gender bias: 78–82% of women experience bias, ‎particularly in male-dominated industries such as manufacturing and hospitality. Among married ‎women with children, work-life balance issues were particularly pronounced, as indicated by ‎‎74% expressing significant stress, emphasizing the role of caring duties. Even after achieving ‎higher employment levels, obstacles in career advancement persist, which can be inferred from ‎the most glaring career stagnation at the middle-level (67%) and senior-level (55%) jobs. These ‎results highlight the need for focused interventions to counter gender-based discrimination, ‎improve work-life balance, and advance careers. Ultimately, gender parity and a friendly ‎workplace are needed.

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Publication Details

Journal
International Journal of Basic and Applied Sciences
Published
2025-04-15
DOI
https://doi.org/10.14419/cb6mfb45
Primary Topic
Socioeconomic and Demographic Analysis
Type
article
Field-Weighted Citation Impact
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article

Assessment of the Psychological Well-being of Women at the Workplace

Sonali Das, Sanjoy Das, Sthitaprajna, Chitrita Prusty
International Journal of Basic and Applied Sciences
Socioeconomic and Demographic Analysis
article

Assessment of the Psychological Well-being of Women at the Workplace

Sonali Das, Sanjoy Das, Sthitaprajna, Chitrita Prusty
article en

Abstract

The world balancing work and life can cause anxiety, sorrow, and reduced efficiency, especially ‎for women who juggle the dual responsibilities of home and office. Working women are no ‎longer scarce and are now recognized as an integral part of the workforce. Working women ‎experience specific challenges like bias, stress, and problems at work and home, and they ‎frequently face discrimination and stress physically and mentally. The purpose of this study was ‎to clarify the psychological experiences and challenges that women face in the workplace, ‎highlighting problems such as career stagnation, work-life balance, and bias against gender. Using ‎a quantitative research approach, the authors surveyed and interviewed 500 women from various ‎industries, like manufacturing, hospitality, healthcare, education, and information technology. ‎The results reveal a very high level of gender bias: 78–82% of women experience bias, ‎particularly in male-dominated industries such as manufacturing and hospitality. Among married ‎women with children, work-life balance issues were particularly pronounced, as indicated by ‎‎74% expressing significant stress, emphasizing the role of caring duties. Even after achieving ‎higher employment levels, obstacles in career advancement persist, which can be inferred from ‎the most glaring career stagnation at the middle-level (67%) and senior-level (55%) jobs. These ‎results highlight the need for focused interventions to counter gender-based discrimination, ‎improve work-life balance, and advance careers. Ultimately, gender parity and a friendly ‎workplace are needed.

International Journal of Basic and Applied SciencesVol. 14(1)
Siksha O Anusandhan University (IN), KIIT University (IN)
Openalex Percentile: Top 89%
Socioeconomic and Demographic Analysis
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