Work-Life Balance Associated Well-Being: Moderating the Relationship through Organizational and Individual Intervention
Shilpa Sharma,
Ph.D. Research Scholar,
Faculty of Management Studies,
JRN Rajasthan Vidyapeeth (Deemed-to-be) University,
Udaipur (Rajasthan)
Email id: berryshilpa3@gmail.com
Dr. Neeru Rathore,
Assistant Professor,
Faculty of Management Studies,
JRN Rajasthan Vidyapeeth (Deemed-to-be) University,
Udaipur (Rajasthan)
Abstract
In this research work Partial Least Squares (PLS) test was used to inspect the associative effect of work-life balance (WLB) on the public and private sector working women well-being particularly satisfaction at job and psychological health. Moreover, the moderating impacts of organizational and individual interventions on associative effect relationship in between WLB and both the dimensions of well-being were also statistically evaluated. Primary data from the working women respondents were collected through physical and online survey, in which 2,275 working women of public and private sector banks of five states of India (Rajasthan, Delhi, Uttar Pradesh, Gujarat and Madhya Pradesh) took part. The statistical test values lead to confirm that the WLB of working women significantly affects both the dimensions of well-being (satisfaction at job and psychological health). In addition, it is also identified that organizational and individual interventions were also found to moderate associate effect relationship in between the WLB and well-being of working women. The research work contributes an advanced perceptive for the working women WLB of public and private sector banks.
Keywords: Work-life balance, Well-being, Organization Interventions, Personal Interventions, Satisfaction at Job, Psychological Health
INTRODUCTION
Financial Service sector particularly, public and private banks are observing multiple intense transformations from the merger of banks to the expansion of bank branches and entry of new international banks. Such radical transformations are result of several economical drivers namely demand pressures, technological shift in banking services, financial structures, administrative multiplicity, and many others. However, such transformations are resulting into comparatively higher skilled and technologically acquainted working individuals in banks and that can cause of vagueness relating to the management for work life and personal life of employees which leads to imbalanced work-life, and this should be acknowledged through all the stakeholders incorporating government, policymakers and administrators. Broadening the quality of life or well-being through the work-life balance practices is an art and need to work on different aspects of personal and professional life (Goh et al., 2015). It is always a matter of concern that the one can attain the satisfaction in the personal and professional life through balanced work and personal life contents (Galea et al., 2014). Momentous driving parameters that persuade employees of the both public and private sector banks who manage different and diversified roles at personal and professional life, corresponding with organisational and social demands are almost certainly deemed as an intimidation to the state of perceived WLB. Consequently, this will persuade individual well-being, incorporating the satisfaction at work place and psychological health. From scholarly point of view, satisfaction for the job or career is subjective by nature and success in the career can be determined through satisfaction and attitude for the career. As mentioned by Kang et al. (2015) satisfaction can be measured through intrinsic and extrinsic aspects like salary, promotion, career succession, and the psychological health can be enriched through positive feeling and ability to do the job in well-organized form. The psychological health of an individual is based on efficiency of the psychological activities and functioning, and how exactly one can manage the emotions (Direnzo et al., 2015).
Every Individual has to experience several positive and negative feeling in daily life and how long one can effectively manage the psychological stability in all the situations depends on psychological well-being, particularly at the time of managing the awful emotions like disappointment. So, it is imperative to study the WLB in association with the Psychological health as both are responsible for managing the balance in between the personal and professional life (workplace) which ultimately results into a positive sense of harmonized life. Positive and directive support through the organizational and personal interventions, support the worker in balancing psychological health and drive him to play affirmative role for family and workplace with full enthusiasm (Moen et al., 2017).
Banking sector particularly among all the service sectors is most competitive by nature and operational activities as banking activities have to reflect all kinds of the changes happening at globalized level, demographic level, technological part, and latest banking activities as soon as possible. Coping with continuously evolving banking activities and upgrading the skills accordingly is a tough job, and need extra efforts which seek for extra hours and affects the banking peoples’ individual life, particularly of women. Generally, work-life balance research works move around the conflicts arise due to the imbalanced personal and professional life and its effect on individuals’ satisfaction at work place, organizational commitment, psychological well-being etc. Hence, this research work is aimed to study the other aspects of WLB in which how the organizational and individual interventions help to moderate the associative relationship between the WLB and psychological health of the working women of Public and Private Sector Banks of India.
The hypothetical proposition drawn for the study was that the bank (either Public or Private) employees have a greater WLB, if they are decidedly pleased with their work. Principally the basis idea of WLB is to manage the personal and professional life of the individual and this can better be evaluated through the energy level of the employee at workplace and sense of happiness at home and workplace. So, the objective of this research work is to determine the associative effect of the WLB on the satisfaction form job and psychological health and role of organizational and individual interventions to moderate the associate effect. Few literary works done under the study variables scope is listed below:
Table 1: Studies Incorporating the Study Variables
Author(S) |
Significant Contribution and Remarks |
Work-Life Balance |
|
Deery and Jago (2015) |
WLB can leverage employees’ well-being and job performance. |
Direnzo (2010) |
WLB can be seen as ‘Work’, ‘Life’, and ‘Balance’ standpoint. |
Ilies et al. (2017) |
WLB point the equal engagement of Individual and sense of fulfillment through participation as employee or family member. |
Basińska-Zych and Springer (2017) |
WLB is significantly associated with satisfaction at workplace. |
Kim (2014) |
WLB is linked organizational commitment, and organizational efforts lead into balance between work and home life. |
Rahim, Osman &Arumugam (2020) |
WLB significantly affect career satisfaction and psychological health of the individual. |
Job / Career Satisfaction |
|
Kuvaas et al. (2017) |
Career Satisfaction is resultant from intrinsic and extrinsic characteristics of an individual’s career. |
Adholiya and Paliwal (2015) |
WLB is associated with the job satisfaction and productivity for the worker. |
Otto et al. (2017) |
Career Satisfaction is predictor of Career success and encompasses extrinsic and intrinsic outcomes, and calculated through objective and subjective indicators. |
Martínez-León, Olmedo-Cifuentes, Ramón-Llorens (2018) |
Career Success can be interpreted as ones’ feelings of achievement and satisfaction for career and generally can be determined through career satisfaction. |
Dahling & Lauricella (2017) |
Subjective characteristics are more imperative for career success estimation, and career satisfaction is its fundamental predictor. |
Psychological Well-Being / Health |
|
DiRenzo (2010) |
Psychological health as a subjective concept in significantly related with the quality of health. |
Yap et al. (2017) |
Subjective well-being incorporates “Subjectivity, constructive measures and all the other aspects of person’s life”. |
Rahim (2017) |
Psychological well-being is effectiveness of one’s psychological functioning. |
Kringelbach & Berridge (2017) |
Psychological perspective incorporates development in potential, having the sense for working towards goals, followed with identifying the positive relationships. |
Source: Literature
Research Design
Figure 1: Research Framework
H1 |
Work-Life Balance
|
Job Satisfaction
|
Organizational Interventions |
Individual Interventions
|
Psychological Health |
H2 |
H5 |
H6 |
H3 |
H4 |
H1 |
Source: Author’s Research Framework
H01: Work-life balance does not affect the satisfaction at workplace of working women of the public and private sector banks.
Ha1: Work-life balance significantly and positively affects the satisfaction at workplace of working women of the public and private sector banks.
H02: Work-life balance does not affect the psychological health of working womenof the public and private sector banks.
Ha2: Work-life balance significantly and positively affects the psychological health of working women of the public and private sector banks.
H03: Organizational interventions do not moderate the relationship between work-life balance and career satisfaction of working women of the public and private sector banks.
Ha3: Organizational interventions significantly moderate the relationship between work-life balance and career satisfaction of working women of the public and private sector banks.
H04: Organizational interventions do not moderate the relationship between work-life balance and psychological health of working women of the public and private sector banks.
Ha4: Organizational interventions significantly moderate the relationship between work-life balance and psychological health of working women of the public and private sector banks.
H05: Individual interventions do not moderate the relationship between work-life balance and career satisfaction of working women of the public and private sector banks.
Ha5: Individual interventions significantly moderate the relationship between work-life balance and career satisfaction of working women of the public and private sector banks.
H06: Individual interventions do not moderate the relationship between work-life balance and psychological health of working women of the public and private sector banks.
Ha6: Individual interventions significantly moderate the relationship between work-life balance and psychological health of working women of the public and private sector banks.
Statistical Analysis Results and Interpretations
Table 1: Reliability Test: Cronbach Alpha (α) Test Statistics
Scale |
Scale Code |
α – Value |
Work-Life Balance |
WLB |
0.899 |
Job Satisfaction |
JS |
0.831 |
Psychological Health |
PH |
0.818 |
Organization Interventions |
OI |
0.756 |
Personal/ Individual Interventions |
PI |
0.718 |
Source: Primary Data – Cronbach’s Alpha (α) Test Statistics
Table 2: Descriptive Statistics (Mean and Standard Deviation) of Demographic Variables
State |
Rajasthan [N = 529] |
Delhi [N = 558] |
UP [N = 419] |
Gujarat [N = 570] |
||||
Mean |
SD |
Mean |
SD |
Mean |
SD |
Mean |
SD |
|
Age |
2.1645 |
1.06 |
2.1649 |
1.02 |
1.9379 |
1.06 |
2.1228 |
1.08 |
30-40 Years |
66 |
0.98 |
66 |
1.1822 |
106 |
1.0397 |
99 |
1.0284 |
41-50 Years |
310 |
1.05 |
334 |
0.894 |
233 |
1.0865 |
302 |
1.1221 |
51-60 Years |
153 |
1.17 |
158 |
0.988 |
80 |
1.0545 |
169 |
1.0941 |
Marital Status |
1.6049 |
1.09 |
1.5448 |
1.15 |
1.58 |
1.08 |
1.6825 |
1.01 |
Single/ Widowed |
209 |
1.05 |
228 |
1.0995 |
176 |
1.0421 |
181 |
1.0133 |
Married/ Cohabit |
320 |
1.143 |
330 |
1.1998 |
243 |
1.1262 |
389 |
1.026 |
No. of Dependents |
1.6654 |
0.78 |
1.5448 |
1.01 |
1.5346 |
0.86 |
1.4596 |
0.82 |
< 2 |
271 |
0.688 |
314 |
1.0187 |
240 |
0.8402 |
365 |
0.8215 |
02-Apr |
164 |
0.7822 |
184 |
1.0123 |
134 |
0.8672 |
148 |
0.9242 |
4+ |
94 |
0.8707 |
60 |
1.0151 |
45 |
0.8939 |
57 |
0.7429 |
Sector of Bank |
1.5936 |
0.59 |
1.5448 |
0.63 |
1.5298 |
0.77 |
1.5404 |
0.82 |
Private |
215 |
0.6336 |
254 |
0.6533 |
197 |
0.7751 |
262 |
0.7353 |
Public |
314 |
0.5566 |
304 |
0.6216 |
222 |
0.7807 |
308 |
0.9236 |
Type of Employment |
1.775 |
0.96 |
1.7437 |
0.55 |
1.7136 |
0.69 |
1.7421 |
0.73 |
Contractual |
119 |
0.9463 |
143 |
0.6016 |
120 |
0.6765 |
147 |
0.7325 |
Permanent |
410 |
0.9811 |
415 |
0.5133 |
299 |
0.7221 |
423 |
0.7369 |
Service Experience |
2.2098 |
1.03 |
2.2634 |
0.76 |
2.2148 |
0.63 |
2.1877 |
1.12 |
< 5 Years |
160 |
1.0274 |
165 |
0.7383 |
114 |
0.6195 |
175 |
1.16 |
5-10 Years |
209 |
1.0316 |
211 |
0.7863 |
185 |
0.7034 |
229 |
1.0984 |
10-15 Years |
49 |
1.0152 |
52 |
0.8267 |
36 |
0.6785 |
50 |
1.1257 |
> 15 Years |
111 |
1.076 |
130 |
0.689 |
84 |
0.5575 |
116 |
1.1195 |
Weekly Working Hours |
2.1512 |
0.86 |
2.2581 |
0.78 |
2.1599 |
1.05 |
2.1982 |
0.87 |
< 42 Hrs. |
154 |
0.9268 |
147 |
0.8256 |
117 |
1.0904 |
149 |
0.846 |
43-48 Hrs. |
181 |
0.8631 |
201 |
0.79 |
151 |
0.9826 |
215 |
0.9749 |
49-54 Hrs. |
154 |
0.8405 |
129 |
0.8674 |
118 |
1.0617 |
150 |
0.8284 |
50+ Hrs. |
40 |
0.8179 |
81 |
0.6565 |
33 |
1.083 |
56 |
0.839 |
Time for Commutation |
1.9187 |
1.01 |
1.8978 |
0.89 |
1.9069 |
0.9 |
1.8912 |
0.82 |
< 1 Hr. |
142 |
1.0188 |
159 |
0.8822 |
114 |
0.9731 |
168 |
0.704 |
1-2 Hrs. |
288 |
1.0267 |
297 |
0.9404 |
230 |
0.8632 |
296 |
0.92 |
2+ Hrs. |
99 |
1.0102 |
102 |
0.862 |
75 |
0.8856 |
106 |
0.8644 |
Source: Descriptive Statistic Output – SPSS
Approximately nearby identical participation from the working women of public and private sector banks was noticed, so results and outcomes can better be generalized for both the sectors’ working women.
Table 3: Measurement Model Statistics
Construct |
Items |
Loadings |
AVEa |
CRb |
Work-Life Balance |
WLB_1 |
0.840 |
0.733 |
0.946 |
WLB_2 |
0.881 |
|||
WLB_3 |
0.860 |
|||
WLB_4 |
0.886 |
|||
Job Satisfaction |
JS_1 |
0.868 |
0.738 |
0.948 |
JS_2 |
0.881 |
|||
JS_3 |
0.887 |
|||
JS_4 |
0.791 |
|||
JS_5 |
0.844 |
|||
Psychological Health |
PH_1 |
0.668 |
0.546 |
0.895 |
PH_2 |
0.677 |
|||
PH_3 |
0.698 |
|||
PH_4 |
0.689 |
|||
PH_5 |
0.836 |
|||
PH_6 |
0.789 |
|||
PH_7 |
0.761 |
|||
PH_8 |
0.789 |
|||
Organizational Interventions |
OI_1 |
0.893 |
0.698 |
0.923 |
OI_2 |
0.892 |
|||
OI_3 |
0.890 |
|||
OI_4 |
0.722 |
|||
Personal/ Individual Interventions |
PI_1 |
0.885 |
0.778 |
0.947 |
PI_2 |
0.894 |
|||
PI_3 |
0.877 |
|||
PI_4 |
0.893 |
Source: Primary Data (a. AVE - Average variance extracted, b. CR - Composite reliability)
From the statistics of the measurement model it is noticed that for all the items of all the constructs significant loadings is observed. Highest loading among all the items is 0.894 and least loading is 0.668 and all the other loading values falls in between this range. For all the constructs internal consistency CR is also found greater than the acceptance criteria i.e. 0.7 (Fornell and Larker (1981)). Highest CR 0.948 is observed for Job Satisfaction and lowest CR 0.895 for Psychological Health. AVE values were also found greater than the acceptance range 0.5 (Fornell and Larker (1981)). Relatively lowest AVE value 0.546 is noticed for the Psychological health (Table 3).
Furthermore, for the purpose of Discriminant analysis of the constructs Fornell-Larcker criterion and Heterotrait-Monotrait Ratio (HTMT)(based on Multitrait-Multimethod Matrix) methods were used. Discriminant validity be deficient if, the HTMT values lies in between 0.85 to 0.90.
Table 4: HTMT Results (CI0.90)
Constructs |
WLB |
OI |
PI |
JS |
PH |
WLB |
- |
|
|
|
|
OI |
0.418 (0.319, 0.563) |
- |
|
|
|
PI |
0.574 (0.426, 0.667) |
0.346 (0.000, 0.564) |
- |
|
|
JS |
0.569 (0.577, 0.823) |
0.493 (0.329, 0.632) |
0.574 (0.406, 0.765) |
- |
|
PH |
0.423 (0.278, 0.544) |
0.469 (0.308, 0.656) |
0.395 (0.305, 0.563) |
0.767 (0.496, 0.879) |
- |
Source: HTMT Result Values
From the results of HTMT presented above it could identify that all the values were found greater to the 0.85 threshold value, except of Organizational Interventions (0.836), Personal/ individual Interventions (0.842), and psychological health (0.806). According to the Fornell-Larcker criterion, an adjacent association was observed in these constructs. As for all the three constructs values were below to the upper range of threshold i.e. 0.90 and HTMT is regarded as good criterion, hence, discriminant validity for the constricts considered good enough (Table 4).
Table 5: β Coefficient Results and Hypotheses Status
Hypothesis |
Relationship |
β |
Std. Err. |
t |
Decision |
H1 |
WLB --> JS |
0.123 |
0.048 |
2.196** |
Accepted |
H2 |
WLB --> PH |
0.097 |
0.043 |
1.719** |
Accepted |
H3 |
WLB*OI --> JS |
0.119 |
0.039 |
1.852** |
Accepted |
H4 |
WLB*OI --> PH |
0.065 |
0.134 |
0.652 |
Not Accepted |
H5 |
WLB*PI --> JS |
0.032 |
0.105 |
0.213 |
Not Accepted |
H6 |
WLB*PI --> PH |
0.132 |
0.042 |
2.326** |
Accepted |
Source: Structural Model Analysis Output (Note: **p < .05 (1.645), (One-Tailed Test); β = Path Coefficient)
From the β Coefficient Results values it was noticed that the following hypotheses were supported or accepted on the basis of t values and β values:
Table 5: Goodness of Fit (GoF) Test
Construct |
AVE |
R2 |
Work-Life Balance |
0.732 |
|
Organizational Interventions |
0.695 |
0.336 |
Personal/ Individual Interventions |
0.745 |
0.316 |
Job Satisfaction |
0.723 |
0.599 |
Psychological Health |
0.536 |
0.678 |
AVERAGE |
0.686 |
0.482 |
GoF |
|
0.575 |
Source: GoF Test Statistics
Relatively low R2 values were observed for Organizational Interventions 0.336 and for Personal/ Individual Interventions 0.316 and for Job Satisfaction R2 value was 0.599 and for Psychological Health R2 value was 0.678 which were relatively higher.
Discussion and Conclusion
This research work had statistically evaluated the association in between the WLB and Well-being particularly related with Job Satisfaction and Psychological Health. Furthermore, the work also assessed the moderating role of organizational interventions and personal/ individual interventions in making the association effective between WLB and job satisfaction and WLB and psychological health of the working women respondents of public and private sector banks. From the statistical examination it was noticed that WLB is positive associated with job satisfaction and psychological health of working women, and the effect is found proportional. The study results agree with the results of Karatepe and Karadas (2015), as for this research work it was also noticed that WLB methods followed by the organizations have proportional effect on the working individuals’ job satisfaction, effective WLB result into greater satisfaction for the workplace. Effective WLB result into greater productivity and performance also, which is directly related with the organizational performance and growth.
From the β Coefficient Results it was also identified that organizational interventions are not effectively moderate the associative effects between the WLB and psychological health and organizational interventions and psychological health. The other non-moderating relationship for personal / individual interventions was noticed, which confirmed that PI not effectively moderate the associative effects between the WLB and job satisfaction and personal / Individual interventions and job satisfaction. But, for all the other relationship role of WLB practices and methods in increasing the psychological health and job satisfaction for the working women of public and private sector banks found imperative. It was also firmly identified that organizational interventions interaction with the WLB helps in increasing the job satisfaction of working women at workplace and personal/ individual interventions interaction with the WLB helps in increasing the individual psychological health. So, organizational interventions result good for organizational perspective and individual interventions results well according to individual perspective. Organizational support helps in developing the confidence in employees which motivate the employee for better performance, and individual practices to manage the stress level lead into intrinsic motivation or energy which in totality is good for individual mental and physical health. The role of the family members in individual / personal interventions of WLB is also imperative and on other side the role of administrative hierarchy in organizational interventions of WLB is imperative.
For the present research work, likely justification and explanation for results could be influenced by the background of the respondents as working women are from the public and private sector banks and who were exposed to the digital banking environment, in which the banking services are delivered through technologically rich methods and that requires technology acquaintance and digital literacy, competencies in digital banking, usage, and delivery, and ability to maneuver advanced banking software and machines. These all results affect the long run performance due to complexity of the system, and in such state to maintain the performance level of the employees’ role of WLB is quite crucial. The statistical outputs derived from the several test performed over the dataset made available pragmatic support to the hypothetical associations projected in the framework of research. The notional input of the research work is associated with moderating variables, i.e. organizational interventions and individual/ personal interventions. The input to scholarly work under the scope would be that organizational interventions interaction with the WLB helps in increasing the job satisfaction of working women at workplace and personal/ individual interventions interaction with the WLB helps in increasing the individual psychological health.
It is recommended that future researchers may follow longitudinal method to observe the WLB and well-being of the working women under different perspectives. Furthermore, as the working women respondents were from the banking sector only, so the scope of the sample size and type can be broaden followed with the sample size. It is because sector-specific work-life balance factors are different due to the different organizational culture (Adholiya and Adholiya, 2017). Future researchers can also follow the comparative or differential analysis for the existing parameters by incorporating working women of other sectors namely academic, insurance, IT etc.
The matter-of-fact observed as practical contribution from the research work is to give the empirical support to the policymakers to propose more effective WLB support strategies for organizational perspective from the top-down. The policymakers also advised to work upon establishing and reinforcing personal/ individual policies for well-being, which should comprise all the dimensions of individual dimensions which may affect the psychological health of him. Study also observed few limitations such as the nature of the study was cross-sectional and confined to the working women only so the results may vary for the qualitative method. Furthermore, the results may vary at the behavioral part, if studied for the longer period.
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