Occupational Health and Work-Life Balance: Implications for Employee Well-Being
Dr. Istkar Ahmed
Assistant Professor, Department of Public Health, Faculty of Pharmacy and Paramedical Sciences, Himalayan University, Arunachal Pradesh, India
https://orcid.org/0009-0003-5990-5824
Dr. Mazharunnisa
Associate Professor, KL Business School, Koneru Lakshmaiah Educational Foundation
Guntur, Andhra Pradesh, India
https://orcid.org/0000-0002-3046-9294
Dr. Sapna Bansal
Associate Professor, School of Law, GD Goenka University, Haryana, India
https://orcid.org/0000-0003-4262-6418
Dr. Nik Alif Amri Nik Hashim
Senior Lecturer, Hospitality, Tourism and Wellness, Universiti Malaysia Kelantan, Malaysia
nikalifamri@gmail.com
https://orcid.org/0000-0003-4966-9592
Dr. Ashu
Assistant Professor,School of Management, GD Goenka University, Haryana, India
https://orcid.org/0000-0002-9948-365X
Corresponding Author: Dr. Nik Alif Amri Nik Hashim: nikalifamri@gmail.com
Abstract:
A healthy balance between work-life and occupational health has far-reaching ramifications that go beyond personal fulfilment to include organizational productivity, employee retention, and the general well-being of society. The study explored the many facets of occupational health, including physical, mental, and social well-being in the workplace, by looking at actual data, theoretical frameworks, and useful insights from a variety of literature, to understand the complex interrelationship between work-life balance (WLB) and occupational health (OH) and the significant effects these relationships have on workers' well-being in modern workplaces.To serve the objectives of the study the data was collected with the help of a questionnaire from IT employees of Chennai. The same was analysed by using mean, standard deviation, coefficient of variation and chi-square test. Results show that improved employee well-being and a harmonious work-life balance are correlated in a positive direction. This research highlighted the significance ofanequilibrium between occupational and personal obligations to lower work-family conflict, improve health outcomes, and increase employee job satisfaction.Additionally,the study reflected on the important organizational elements in determining WLB and, in turn, employee welfare. These elements are supportive organizational cultures, effective policies, and leadership behaviours.As a result of clarifying the broad implications of occupational health and work-life balance for worker well-being, this study contributes to the growing domain on these topics. It promotes all-encompassing strategies that combine leadership commitment, strategic interventions, and organizational support to create work environments that promote holistic employee well-being in a range of professional contexts.
Keywords:Occupational Health, Work-Life Balance, Employee Well-Being, IT sector
INTRODUCTION
In an era characterized by the relentless pursuit of professional success and heightened performance expectations, the intersection of occupational health and work-life balance (WLB) has become a crucial issue affecting employees worldwide. The evolving landscape of work dynamics, coupled with the ever-increasing demands imposed by modern professions, has significantly influenced the well-being of individuals within the workforce.
In today's dynamic workplace, research about the impact of occupational health& WLB on the well-being of employees is crucial for many reasons.
A healthy balance between work-life and occupational health has far-reaching ramifications that go beyond personal fulfilment to include organizational productivity, employee retention, and the general well-being of society(Wood,Parkey, & Kimmie, 2020). Fostering a workplace that promotes holistic employee well-being requires an understanding of how these elements interact (Pacee& Scirto, 2021). This is important for more than just bettering people's lives; it also strengthens companies and society by fostering happier, healthier, and more productive workplaces.
This study explores the many facets of occupational health, including social, emotional, and physical well-being at work, while acknowledging the importance of this connection. In addition, it aims to disentangle the convoluted relationships that characterize and mould work-life balance by exploring its complex aspects that go beyond simple time distribution across the realms of work and personal life. In summary, this paper seeks to contribute to the burgeoning discourse on occupational health and work-life balance, elucidating their profound implications for employee well-being in contemporary work settings.
Literature Review:
The below literature offers a diverse range of perspectives, empirical evidence, and theoretical frameworks concerning occupational health, WLB, and their implications for employee well-being:
Greenhaus &Jllen (2011) explored the intricate relationship between work and personal life, emphasizing on individual health. They introduced the concept of boundary management strategies and their implications for reducing work-family conflict.Quick & Tetrick (2011) delved into the domain of occupational health psychology, examining stressors and health outcomes within work settings. It emphasized the role of organizational factors and psychosocial aspects in shaping employee health and well-being.
Sharma&Tiwari (2008) investigated the association betweenjob attrition and the balance of professional-personal life. It shed light on how striking an equilibrium of professional-personal obligations affects workers' views and plans to quit their jobs. Biron& van Veldhoven (2016) attempted to focus on flexible work arrangements through this study which examined its effects on employee health, job satisfaction, and career outcomes. It discusses the potential benefits and drawbacks of such arrangements for employee well-being.
The research study by LaMontagneet al. (2007) tried to present a global perspective on occupational health, discussing its significance in improving the health and well-being of workers. It highlighted the economic and societal value of investing in occupational health initiatives.Allen et al. (2013) attempted to address work-life balance initiatives. They investigated their impact on mental health outcomes among employees. It offers insights into the effectiveness of various initiatives made by organizations to enhance WLB.
Kelloway et al. (2017) explored the role of leadership in fostering a healthy work environment. It discusses how leadership behaviours and organizational practices influence occupational health and work-life balance for employees.
IT workers frequently spend long hours sitting at computers, which can result in a sedentary lifestyle, according to Lalloo et al. (2021). This inactivity is linked to several health problems, such as obesity, heart disease, and musculoskeletal disorders. Singh & Wadhwa (2006) emphasized the problems with ergonomics that affect IT workers. Back pain, neck pain, and repetitive strain injuries are just a few of the physical discomforts that can be caused by poor workstation ergonomics. Carpal tunnel syndrome and other related disorders can result from extended use of keyboards and mice.
Aziz (2004) attempted to investigate psychological concerns, such as elevated stress levels among female IT professionals. High levels of stress can be attributed to the fast-paced nature of the IT industry, the pressure to meet deadlines, and the requirement for ongoing skill development among IT professionals. IT professionals' burnout was attempted to be highlighted by Salanova, Peiró, and Schaufeli (2002). Burnout can result from long work hours combined with the pressure to produce results. Emotional exhaustion, decreased performance, and detached and cynical feelings are the hallmarks of burnout.
Research Gap:
The above literature covers a wide spectrum of research, providing insights into the complexities and implications of managing work and personal life within organizational settings. They span from conceptual frameworks to empirical studies, highlighting the critical role played by factors like leadership, organizational culture, and flexible work arrangements in shaping employee health and satisfaction. Each of these works contributes uniquely to underscore the importance of considering both individual and organizational aspects in fostering a healthy environment at work that supports the holistic employees’ well-being.
Drawing upon varied sources this review provides a robust foundation for exploring the implications of occupational health and work-life balance on employee well-being across diverse contexts and organizational settings.
Objectives
Hypotheses
Research Methodology
Results
Description of Demographic profiles:
Table 1 presents the data related to the respondents' employment profile and demographics that were gathered in the first section of the questionnaire.
Table 1: Demographic & Professional Profile of Respondents
Gender |
N |
Percentage |
Work Experience |
N |
Percentage |
Male |
117 |
54.93 |
Less than 5 Years |
69 |
32.39 |
Female |
96 |
45.07 |
5 to 10 Years |
124 |
58.22 |
Transgender |
0 |
0.00 |
More than 10 Years |
20 |
9.39 |
Total |
213 |
100 |
Total |
213 |
100 |
Age |
N |
Percentage |
Position in Dept |
N |
Percentage |
20-35 Years |
97 |
45.54 |
Lower Management |
75 |
35.21 |
35-50 Years |
103 |
48.36 |
Middle Management |
100 |
46.95 |
50-65 Years |
11 |
5.16 |
Upper Management |
17 |
7.98 |
Above 65 Years |
2 |
0.94 |
Contractual/ Consultants |
21 |
9.86 |
Total |
213 |
100 |
Total |
213 |
100 |
Marital Status |
N |
Percentage |
No of Children |
N |
Percentage |
Single |
88 |
41.31 |
Not applicable/No Children |
112 |
52.58 |
Married |
107 |
50.23 |
One of Two |
95 |
44.60 |
Divorced/Widow |
18 |
8.45 |
More than two |
6 |
2.82 |
Total |
213 |
100 |
Total |
213 |
100 |
Occupational Health of IT Employees
Occupational health is a broad concept that generally deals with two specific concepts i.e. psychological health and physical health of employees. The combined result of the psychological and physical health of employees decided their occupational health, so this section presents the data about theoccupational health of IT employees in the following subsections:-
a). Psychological Health of IT Employees:The psychological health of employees describes their mental status at work.To study the psychological health of employees they were given a list of psychological situations and they were asked how frequently they face such situations. The scale was set on five points such as never, seldom, sometimes, often, and always. Table 2 depicts the mean score of every psychological situation along with the standard deviation and coefficient of variation. It is observed that all the mean scores range from 3.32 to 3.72 with high values of coefficient of variations, which indicates the heterogeneity in the opinion of respondents. As per the analysis presented it happens very often that IT professionals are not able to enjoy normal activities (mean=3.72), they consider themselves as worthless person (mean=3.68) and they feel constantly under strain (mean=3.58). It was also observed that sometimes IT professionals are not able to concentrate on their work (mean=3.36), they don’t find themselves capable of overcoming their difficulties (mean=3.33), and sometimes they feel depressed about unhappy (mean=3.32)
Table 2: Psychological Health of IT Employees
Psychological Health Items |
Mean |
S.D. |
C.V. |
Frequency |
I feel constantly under strain |
3.58 |
1.85 |
0.52 |
Often |
I don’t find myself capable of overcoming my difficulties |
3.33 |
2.20 |
0.66 |
Sometimes |
I feel depressed or unhappy |
3.32 |
2.34 |
0.70 |
Sometimes |
I consider myself a worthless person |
3.68 |
1.72 |
0.47 |
Often |
I am not able to enjoy my normal activities |
3.72 |
1.90 |
0.51 |
Often |
I am not able to concentrate on my work |
3.36 |
1.98 |
0.59 |
Sometimes |
After summing up the scores of individual items,Table 3 shows the overall psychological health of IT professionals. According to results around 3/5th of the IT professionals (60.09%) were suffering from a bad state of psychological health whereas only 14.55% of respondents had average psychological health which can be considered neither good nor bad. Around 1/4th of the IT professionals (25.35%) were found to enjoy good overall psychological health.
Table 3: Overall Psychological Health of IT Employees
Overall Psychological Health |
N |
Percentage |
Good |
54 |
25.35 |
Average |
31 |
14.55 |
Bad |
128 |
60.09 |
Total |
213 |
100 |
b). Physical Health of IT Employees:Similarto psychological health the IT professionals were given a list of situations related to physical health and they were asked how frequently they face such situations. The final opinion of respondents was ascertained with the help of the mean score as shown in Table 4. It can be seen that all the mean scores are greater than 3.40 which means that respondents often face all the situations. According to results IT professionals often feel itchy, dry or red eyes (mean=4.07), migraine (mean=4.04), joint pain (mean=3.94), tiredness or fatigue (mean=3.62), sick (mean=3.48) and blurred or double vision (mean=3.45).
Table 4: Physical Health of IT Employees
Physical Health Items |
Mean |
S.D. |
C.V. |
Frequency |
I have blurred or double vision |
3.45 |
2.03 |
0.59 |
Often |
I feel tiredness or fatigue |
3.62 |
1.51 |
0.42 |
Often |
I feel ill |
3.48 |
1.65 |
0.47 |
Often |
I face migraine |
4.04 |
0.80 |
0.20 |
Often |
I feel pain in my joints |
3.94 |
1.27 |
0.32 |
Often |
I feel itchy, dry or red eyes |
4.07 |
1.09 |
0.27 |
Often |
Table 5 presents the overall physical health status of respondents. Only 15.96% of IT professionals had agood state of physical health whereas as majority of IT professionals (64.79%) were suffering from bad physical health. 19.25% of IT professionals had neither good nor bad i.e. average state of physical health.
Table 5: Overall Physical Health of IT Employees
Overall Physical Health |
N |
Percentage |
Good |
34 |
15.96 |
Average |
41 |
19.25 |
Bad |
138 |
64.79 |
Total |
213 |
100 |
c). Overall Occupational Health of IT Employees:As already discussed the combination of psychological and physical health of employees defines their occupational health, so Table 6 presents the overall occupational health status of IT professionals. As per results,the majority of IT professionals were suffering from a bad state of psychological (60.09%) and physical (64.79%) health which ultimately depicts that 62.44% of IT professionals were having a bad state of occupational health. Out of the rest, the occupational health of 16.90% of respondents was average whereas 20.66% of respondents were found to have a good state of occupational health.
Table 6: Overall Occupational Health of IT Employees
Health Status |
Psychological Health |
Physical Health |
Overall Occupational Health |
|||
N |
Percentage |
N |
Percentage |
N |
Percentage |
|
Good |
54 |
25.35 |
34 |
15.96 |
44 |
20.66 |
Average |
31 |
14.55 |
41 |
19.25 |
36 |
16.90 |
Bad |
128 |
60.09 |
138 |
64.79 |
133 |
62.44 |
Total |
213 |
100 |
213 |
100 |
213 |
100 |
Persons belonging to different demographic groups may have different mental & physical states so the following hypothesis has been made to examine the effect of demographic factors on the occupational health of IT professionals.:-
H01:There are no significant differences in the occupational health of IT employees concerning their demographic variables
Ha1:There are significant differences in the occupational health of IT employees concerning their demographic variables
The chi-square test was used to investigate this hypothesis, and the results are shown in Table 7. The chi-statistic value for gender, number of children, job experience, and position of respondents is found to be significant at the 5% level, whereas the values for age and marital status of IT professionals are found to be not significant. Based on the findings, it can be inferred that there are differences in the occupational health of IT professionals based on factors such as gender, number of children, work experience, and departmental position.
Table 7: Chi-Square test results to measure the impact of demographic variables on the occupational health of IT employees
Demographic Profile |
Overall Occupational Health |
Chi-Square Value |
p-Value |
Significance |
||||
Good |
Average |
Bad |
Total |
|||||
Gender |
Male |
20 |
26 |
71 |
117 |
6.07 |
0.048 |
Significant |
Female |
24 |
10 |
62 |
96 |
||||
Total |
44 |
36 |
133 |
213 |
||||
Age |
20-35 Years |
15 |
13 |
69 |
97 |
9.406 |
0.151 |
Not Significant |
35-50 Years |
27 |
18 |
58 |
103 |
||||
50-65 Years |
2 |
4 |
5 |
11 |
||||
Above 65 Years |
0 |
1 |
1 |
2 |
||||
Total |
44 |
36 |
133 |
213 |
||||
Marital Status |
Single |
12 |
15 |
61 |
88 |
7.0415 |
0.133 |
Not Significant |
Married |
29 |
16 |
62 |
107 |
||||
Divorced/Widow |
3 |
5 |
10 |
18 |
||||
Total |
44 |
36 |
133 |
213 |
||||
No of Children |
Not applicable/No Children |
12 |
17 |
83 |
112 |
16.892 |
0.002 |
Significant |
One of Two |
30 |
18 |
47 |
95 |
||||
More than two |
2 |
1 |
3 |
6 |
||||
Total |
44 |
36 |
133 |
213 |
||||
Work Experience |
Less than 5 Years |
18 |
22 |
29 |
69 |
30.771 |
0.000 |
Significant |
5 to 10 Years |
21 |
8 |
95 |
124 |
||||
More than 10 Years |
5 |
6 |
9 |
20 |
||||
Total |
44 |
36 |
133 |
213 |
||||
Position in Dept. |
Lower Management |
14 |
16 |
45 |
75 |
17.331 |
0.008 |
Significant |
Middle Management |
22 |
7 |
71 |
100 |
||||
Upper Management |
4 |
5 |
8 |
17 |
||||
Contractual/ Consultants |
4 |
8 |
9 |
21 |
||||
Total |
44 |
36 |
133 |
213 |
Level of Significance=5%
A balance between an employee's personal and professional obligations is referred to as their work-life balance. The situation of imbalance arises when personal/professional responsibilities hinder the fulfilment of professional/personal responsibilities, so this section presents the data about the work-work-life balance of IT employees in the following subsections:-
a). Family-Work Conflict of IT Employees: The situation of family-work conflict arises when due to personal life the employee fails to accomplish professional responsibilities. After being given a set of assertions, the respondents were asked to rate how much they agreed or disagreed with each statement on a five-point scale that went from strongly disagree to strongly agree. The overall opinion of IT professionals was identified with the help of mean scores as shown in table 8. According to results family demands force IT professionals to wind up their office work early (mean=3.51) and many times they take leaves due to family issues (mean=3.51). A significant number of respondents indicated that family members interfere in their official work (mean=3.34) and more than half of the respondents indicated that due to family pressure, they can’t do things at the office that they want to do (mean=3.26).
Table 8: Family-Work Conflict of IT Employees
Family - Work Conflict Statements |
Mean |
S.D. |
C.V. |
Agreement Level |
Due to family demands, I have to wind up office work early |
3.51 |
1.09 |
0.31 |
Agree |
Family members interfere in my official work |
3.34 |
1.04 |
0.31 |
Neutral |
Due to family pressure, I can't do things at the office which I want to do |
3.26 |
1.37 |
0.42 |
Neutral |
I often take a full day or half leaves due to family issues |
3.51 |
1.40 |
0.40 |
Agree |
Table 9 presents the overall level of family-work conflict among IT employees. It could be observed that more than half of the IT professionals (53.99%) were facing a high level of family-work conflict followed by a medium level (25.35%) and low level (20.66%) of family-work conflict.
Table 9: Overall Level of Family-Work Conflict
Overall Level of Family-Work Conflict |
N |
Percentage |
High |
115 |
53.99 |
Medium |
54 |
25.35 |
Low |
44 |
20.66 |
Total |
213 |
100.00 |
b). Work-Family Conflict of IT Employees:When an employee fails to fulfil family responsibilities due to work pressure then it is termed as a work-family conflict. Table 10 shows the respondents' agreement with the statements related to the family-work conflict in their lives. The IT professionals strongly indicated that due to professional responsibilities, I couldn't give sufficient time to my family (mean=4.38). The respondents agreed that their job responsibilities force them to change personal plans (mean=3.64), due to work pressure they can't do things at home that they want to do (mean=3.61) and their work assignments often make their family life stressful (mean=3.56).
Table 10: Work-Family Conflict of IT Employees
Work-Family Conflict Statements |
Mean |
S.D. |
C.V. |
Agreement Level |
Due to professional responsibilities, I couldn't give sufficient time to my family |
4.38 |
0.79 |
0.18 |
Strongly Agree |
Due to work pressure, I can't do things at home that I want to do |
3.61 |
1.26 |
0.35 |
Agree |
My job responsibilities force me to change personal plans |
3.64 |
1.27 |
0.35 |
Agree |
My Work assignments often make my family life stressful |
3.56 |
1.64 |
0.46 |
Agree |
According to the results shown in Table 11, a maximum number of IT professionals (67.14%) are suffering from high levels of work-family conflict. The work-family conflict level was medium for 17.84% of respondents whereas it was low for 15.02% of respondents.
Table 11: Overall Level of Work-Family Conflict
Overall Level of Work-Family Conflict |
N |
Percentage |
High |
143 |
67.14 |
Medium |
38 |
17.84 |
Low |
32 |
15.02 |
Total |
213 |
100.00 |
c). Overall Work-Life Balance of IT Employees:After discussing the family-work conflict and work-family conflict status of respondents table 12 shows the overall work-life balance of IT professionals. It can be observed that 53.33% of respondents are suffering from a high level of family-work conflict and 67.14% of respondents are facing a high level of work-family conflict so it all indicates that 60.56% of IT professionals are facing a high level of work-life imbalance in their life or other words they are having low work-life balance. As per results, only 17.84% of IT professionals were having a high level of work-life balance.
Table 12: Overall Work-Life Balance of IT Employees
Work-Life |
Family-Work Conflict |
Work-Family Conflict |
Overall Work-Life Balance |
||||
Balance |
Imbalance |
N |
Percentage |
N |
Percentage |
N |
Percentage |
Low |
High |
115 |
53.99 |
143 |
67.14 |
129 |
60.56 |
Medium |
Medium |
54 |
25.35 |
38 |
17.84 |
46 |
21.60 |
High |
Low |
44 |
20.66 |
32 |
15.02 |
38 |
17.84 |
Total |
Total |
213 |
100 |
213 |
100 |
213 |
100 |
The following hypothesis has been made to examine the effect of demographic factors on the work-life balance of IT workers:-
H02:There are no significant differences in the work-life balance of IT employees concerning their demographic variables
Ha2:There are significant differences in the work-life balance of IT employees to their demographic variables
The chi-square test was used to investigate this hypothesis, and the results are shown in Table 13. The chi-statistic value for gender, work experience, and position of respondents is found to be significant at the 5% level, but the values for age, marital status, and the number of children of IT professionals are found to be not significant. Thus, based on the findings, it can be said that the work-life balance of IT professionals differs concerning their gender, work experience, and position in the department.
Table 13: Chi-Square test results to measure the impact of demographic variables on work-life balance of IT employees
Demographic Profile |
Overall Work-Life Balance |
Chi-Square Value |
p-Value |
Significance |
||||
High |
Medium |
Low |
Total |
|||||
Gender |
Male |
61 |
29 |
27 |
117 |
8.257 |
0.016 |
Significant |
Female |
68 |
17 |
11 |
96 |
||||
Total |
129 |
46 |
38 |
213 |
||||
Age |
20-35 Years |
66 |
17 |
14 |
97 |
9.101 |
0.167 |
Not Significant |
35-50 Years |
59 |
24 |
20 |
103 |
||||
50-65 Years |
3 |
5 |
3 |
11 |
||||
Above 65 Years |
1 |
0 |
1 |
2 |
||||
Total |
129 |
46 |
38 |
213 |
||||
Marital Status |
Single |
60 |
14 |
14 |
88 |
8.243 |
0.083 |
Not Significant |
Married |
63 |
25 |
19 |
107 |
||||
Divorced/Widow |
6 |
7 |
5 |
18 |
||||
Total |
129 |
46 |
38 |
213 |
||||
No of Children |
Not applicable/No Children |
76 |
18 |
18 |
112 |
7.714 |
0.102 |
Not Significant |
One of Two |
51 |
25 |
19 |
95 |
||||
More than two |
2 |
3 |
1 |
6 |
||||
Total |
129 |
46 |
38 |
213 |
||||
Work Experience |
Less than 5 Years |
37 |
20 |
12 |
69 |
9.848 |
0.043 |
Significant |
5 to 10 Years |
84 |
21 |
19 |
124 |
||||
More than 10 Years |
8 |
5 |
7 |
20 |
||||
Total |
129 |
46 |
38 |
213 |
||||
Position in Dept. |
Lower Management |
42 |
17 |
16 |
75 |
47.269 |
0.000 |
Significant |
Middle Management |
76 |
15 |
9 |
100 |
||||
Upper Management |
2 |
4 |
11 |
17 |
||||
Contractual/ Consultants |
9 |
10 |
2 |
21 |
||||
Total |
129 |
46 |
38 |
213 |
Level of Significance=5%
d). Well-Being Status of IT Professionals:
The well-being of an employee depends on his/her work-life balance and occupational health. For example, the one who has having high level of work-life balance also enjoys good occupational health and this is called the situation of excellent well-being. Table 14 shows the cross-tabulation between work-life balance and occupational health of IT employees which narrates about well-being status of IT professionals. From the data, it is clear that employees with high levels of work-life balance enjoy good levels of occupational health, and employees with low levels of work-life balance enjoy bad levels of occupational health.
To test this relationship statistically following hypothesis has been taken:-
H03:There is no significant impact of work-life balance on the occupational health of IT employees
Ha3:There is a significant impact of work-life balance on the occupational health of IT employees
The chi-square test was used to evaluate this hypothesis, and the results are shown in Table 14. It may be concluded that work-life balance has a major impact on the occupational health of IT personnel because the chi-square statistic is significant, which leads to the rejection of the hypothesis.
Table 14: Well-being Status of IT Professionals
Overall Work-Life Balance |
Overall Occupational Health |
Chi-Square Value |
p-Value |
Significance |
|||
Good |
Average |
Bad |
Total |
||||
Low |
16 |
12 |
101 |
129 |
87.25 |
0.000 |
Significant |
Medium |
2 |
16 |
28 |
46 |
|||
High |
26 |
8 |
4 |
38 |
|||
Total |
44 |
36 |
133 |
213 |
Level of Significance=5%
DISCUSSION
The findings from studies investigating the intersection of occupational health and work-life balance reveal compelling insights into their implications for employee well-being:
Conclusion
In summary, the findings collectively emphasize the profound impact of occupational health and WLB on the well-being of employees. They underscore the need for comprehensive approaches that encompass organizational support, effective policies, and leadership commitment to create environments conducive to enhancing employees' general quality of life and fostering work-life harmony.
Acknowledgement
Thank you to Universiti Malaysia Kelantan for supported this study under UMK FUNDAMENTAL RESEARCH GRANT (UMK-FUND), research code: R/FUND/A1100/01904A/001/2022/01120
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