employee wellness: a study of banking sector in gujarat · doctor of philosophy of the gujarat...

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S Y N O P S I S of the Ph.D. thesis entitled Employee Wellness: A study of Banking Sector in Gujarat Proposed to be submitted in Partial fulfillment of the requirements for the Degree of DOCTOR OF PHILOSOPHY of the GUJARAT TECHNOLOGICAL UNIVERSITY India by Thakar Manali Bankimbhai Enrollment no. 139997292010 Branch: Management Supervisor : Dr. Sampada Kapse Director Tolani Motwane Institute of Management Studies Adipur, Kutch

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Page 1: Employee Wellness: A study of Banking Sector in Gujarat · DOCTOR OF PHILOSOPHY of the GUJARAT TECHNOLOGICAL UNIVERSITY India by Thakar Manali Bankimbhai Enrollment no. 139997292010

S Y N O P S I S

of the Ph.D. thesis entitled

Employee Wellness: A study of Banking Sector in Gujarat

Proposed to be submitted in

Partial fulfillment of the requirements for the Degree of

DOCTOR OF PHILOSOPHY

of the

GUJARAT TECHNOLOGICAL UNIVERSITY

India

by

Thakar Manali Bankimbhai

Enrollment no. 139997292010

Branch: Management

Supervisor : Dr. Sampada Kapse

Director

Tolani Motwane Institute of Management Studies

Adipur, Kutch

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Abstract

Since last few years, banks have been going through enormous changes in terms of

organization and structure. Technological innovations and new structure of the operation

have made an impact on the working conditions and daily lives of employees. Continuous

changes in employment and working conditions are significantly reshaping working lives. It

has a relevant impact not only on companies’ organization but also on employee’s health.

Thus, it is imperative that wellness of bank employees is assessed. Thus, the purpose of the

research investigation was to develop the Employee Wellness Scale and examine its

psychometric features in a sample of bank employees. A correlational research design was

employed for this investigation.

Specifically, the researcher examined: (a) the factor structure of the Employee Wellness

Scale with a sample of Bank employees; (b) the internal consistency reliability of the

Employee Wellness Scale; (c) the relationship between the Employee’s total Wellness Score

and their reported demographics; (d) the relationships between the Employee’s factor wise

total score and their reported demographics; and (e) the prevalence of health issues among

bank employees in Gujarat.

A review of the literature is provided, discussing theoretical and empirical support for all the

items on Employee Wellness Scale. The data was collected by face-to-face administration.

The sample size for the investigation was 496. Data analysis resulted in a seven-factor

Employee Wellness Model that accounted for 55% of the total variance. The findings of the

research suggest, that early onset of noncommunicable diseases among bank employees is a

major concern. Thus, there is an urgent need for comprehensive and integrated interventions

to reduce the prevalence of health issues and its risk factors among bank employees in

Gujarat.

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1. Brief description on the state of the art of the research topic:

Wellness is a modern word with ancient origin. The tenets of wellness can be traced to the

ancient civilizations. In addition, the idea of a wellness/illness continuum has existed for

years, with illness receiving most of the attention in medical and treatment-based arenas

(Keyes, 2002). However, the helping professions are embracing a holistic approach that

opposes the traditional medical models (Myers & Sweeney; 2004; 2005; Myers, Sweeney,

&Witmer, 2000). This wellness approach has optimistic, health-enhancing, and prevention-

oriented ideals, which promote optimal human functioning and flourishing (Fredrickson,

2000; 2001; Keyes, 2002; 2007).

The banking sector has been redefined in recent years by substantial pressures, complexity

and change. However, in the current era, when sustainable performance and employer brand

is very important, there is actually limited research into the holistic wellness of bank

employees.

The employers need to understand and embrace the fact that, when employees walk through

the door of the organisation, they bring all aspects of their lives with them. They bring not

only their interests, energies, and passions, but also their personal life pressures, family

issues, and anxieties. So it is a challenge for employers to ensure that the work environment

is conducive to allow the individual employees to manage and balance their wellness. Thus, it

is crucial for organisations to measure employee wellness components on a routine basis so

that they can deploy support to fully harness the potential in each employee.

Similar to other life situations, awareness allows for identification of individual’s feelings

and needs, and increasing awareness of wellness can facilitate decision-making and actions

towards meeting individual needs (Venart et al., 2007). Thus, increasing employees’

awareness of their current wellness and its level is an integral component in maintaining

employee wellness, promoting employee wellness, and moving towards holistic employee

wellness. For these reasons, the proposed employee wellness model aims at increasing bank

employees’ wellness by assessing their current wellness (perceived).

2. Definition of the Problem:

Banks play a pivotal role in developing the economy of a country. During the past two

decades banking sector of India has undergone a swift change due to liberalisation,

globalisation, policy changes, innovations in technology, and intensive competition. From

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conservative approach banks catapulted to a customer centric, technology driven, financial

supermarket catering to the varied needs of its customers. Employees play a crucial role in

providing good service quality and service delivery to the customers. Consequently, the

employees are experiencing a high level of stress. Studies reveal that the employees are

facing problems like burnout, tension and lack of satisfaction (Chen and Lien, 2008; Bajpai

and Srivastava, 2004).

The National Institute for Occupational Safety and Health (NIOSH) ranked occupations for

stress levels, where 130 occupations were found more stressful. Common issues among all

130 occupations were, employees feeling lack of control over the work, and employees

feeling like being trapped in jobs where they are regarded as quasi-machines rather than as

humans. Manager, Administrator and Supervisor were among the top 12 stressful positions

and bank teller was 28th on the list (Michailidis and Georgiou, 2005).

Studies in literature found that occupational stress leads to diseases, and may damage

employees’ psychological, social, and professional lives. It leads to poor performance at

work, a high level of absenteeism, staff turnover, and violence in the workplace (Godin et al.,

2005; Stansfeld and Candy, 2006; Bhagat et al., 2010; Burke, 2010; Dalgaard et al.,

2017).Thus, organisations should assess employee wellness and strive for increasing

employee awareness on the components of holistic wellness.

3. Objective and Scope of work:

3.1 Objectives of the study

• To explore the concept of Employee Wellness in the context of banking sector

• To develop Employee Wellness Scale for bank employees

• To assess the level of Employee Wellness in the banking sector of Gujarat.

• To explore the relationship between Employee Wellness and Demographic variables

3.2 Research Questions

The purpose of developing the Employee Wellness Scale was to examine the psychometric

properties of wellness (as measured by the EWS) in a sample of bank employees (i.e., clerks

and officers). The specific research questions that were investigated included the following:

Research Question 1: What is the factor structure of the items on the Employee wellness

Scale with a sample of Bank employees?

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Research Question 2: What is the internal consistency reliability of the Employee wellness

Scale with a sample of bank employees?

Research Question 3: What are the relationships between Bank employee’s Employee

wellness Scale score and their reported demographic data?

Research Question 4: What are the relationship between Bank employee’s factor wise

wellness score and their reported demographic data?

Research Question 5: What are the most common health issues that Bank Employees

experience?

3.3 Scope of the study

The research study cultivated a new wellness scale that was constructed via scale

development procedures. In addition, the researcher assessed the factor structure of the

Employee Wellness Scale by exploring the statistics of the developed wellness assessment.

Reliability and validity of the model was also assessed with a population of bank employees

in Gujarat.

4. Original contribution by the thesis

The findings from the research investigation contribute to the current literature on wellness in

the bank employees. The present research investigation generated a theoretically and

methodologically sound instrument for assessing wellness in bank employees. Thus, using

the Employee Wellness Scale allows for individuals and organisations to assess employee’s

areas of wellness strengths and wellness areas for growth.

5. Methodology of Research, Results / Comparisons

5.1 Sample Size:

The population for the investigation of the Employee Wellness Scale consisted of clerk and

officers of scheduled commercial banks in Gujarat. There are 60364 bank employees (clerk,

officer) in Gujarat (RBI, 2016). The required sample size was calculated using 5% margin of

error and 95% confidence interval. The result shows at least 382 samples are required. For

development of scale in the social sciences, appropriate item/participant ratios should be 10:1

or 20:1 (Hair et al., 2006; Mvududu & Sink, 2013; Tinsley & Tinsley, 1987).In current

studytotal496 samples were collected, that equates to the 13:1 ratio.

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5.2 Development of Scale:

The steps in constructing an instrument vary within the literature. For the purposes of this

research investigation, a combination of the processes is followed. The specific instrument

development steps employed are:

• Step 1: Define the concept being measured

The researcher included the qualities of wellness most cited within the literature and

developed a definition. For the purposes of this research investigation, Employee wellness is

defined as the factors comprising individual well-being and promoting a healthy and balanced

life.

• Step 2: Creation of an item pool

It consisted of developing Employee Wellness Scale items that theoretically contributed to

the construct of Employee wellness. An extensive literature review is conducted to examine

the existence of items contributing to Employee wellness. At the end, 55 items were selected

based on theory and a review of the literature.

• Step 3: Choosing the scale type for measurement

The third instrument development step involved choosing the appropriate type of scale for the

Employee Wellness Scale. So, a five point Likert scale format is selected.

• Step 4: Getting the items reviewed by experts

The selected items were given to a team of experts for review to maximize content validity of

the instrument. Items which were double-barreled, poorly worded, inconsistent with the

particular dimension or duplications were either rewritten or eliminated. At the end 36 items

were finalised for the Scale.

• Step 5: Administering Items to a Development Sample

The Employee Wellness Scale was administered to a development sample. In total 496

samples were collected.

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• Step 6: Evaluation of Items

Following administration of the Employee Wellness Scale to the sample of Bank employees,

items were evaluated via a variety of procedures to evaluate validity and reliability of the

Employee Wellness Scale.

• Step 8: Optimizing Scale Length

The final step in scale development included optimisation of the scale length. Following data

analysis, the researcher analysed items based on factor loading and inter-item correlations.

Researcher also assessed the overall goodness-of-fit of all the constructs to determine the

validity of the measures.

5.3 Data collection

The data was collected via face-to-face administration. A convenience sample of participants

was recruited from scheduled commercial banks in different districts of Gujarat. Three data

collection questionnaires were utilized within this study. The first instrument was the

Employee Wellness Scale, which was developed during this investigation. A second

questionnaire was a General demographic questionnaire, which was administered in order to

collect demographic information about the participants. A third questionnaire was a Current

health issue questionnaire, which was administered in order to collect information about

health issues faced by Bank employees.

5.4 Determination of statistical techniques for Analysis of collected data

5.4.1 Data analysis for Research Question 1, 2:

For development of the Employee Wellness Scale, the researcher assessed the validity and

reliability of the instrument in a population of Bank Employees. Data analysis was conducted

in the Statistical Package R.

• Reliability

The reliability measure that was assessed in the Employee Wellness Scale was internal

consistency. In order to assess internal consistency reliability of the Employee Wellness

Scale, Cronbach’s coefficient alpha was used (Cronbach, 1951).

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• Validity

o Content Validity

In order to assess the content validity domain within the Employee Wellness Scale, experts

were asked to review the content of the scale. In addition, all of the items comprising the

Employee Wellness Scale were ground in literature and theory relating to wellness and

health.

o Factor Analysis

For the nature of the research investigation, factor analysis (FA) was employed. Prior to

conducting the Exploratory Factor Analysis the data was cleaned and examined for missing,

irregular, or outlying data. Additionally, there are numerous assumptions that were explored

within the data. Specifically: (a) normality of the data; (b) appropriateness of data; and (c)

multicullinearity.

The results from the Exploratory Factor Analysis in this study provided a number of factors

to retain in the Employee Wellness construct and a clear estimation of the factor structures

for the measures of this construct. To strengthen the outcomes of Exploratory Factor

Analysis, Confirmatory Factor Analysis was sequentially conducted to confirm the validity of

the measurement scale by supporting the recognised factor structures discovered from the

Exploratory Factor Analysis process. To determine how well the specified factor model

represented the data, goodness-of-fit indices were examined.

5.4.2 Data Analysis for Research Question 3, 4:

The researcher used a Multiple Linear Regression analysis to explore relationships between

the Total Employee Wellness Score and the demographic variables. Multiple Linear

Regression analysis was also used to explore the relationships between the Factor wise Total

Wellness Score and the demographic variables. The demographic variables that were used

included: Designation (Clerk/Officer), Gender (Male/Female), Age, Bank Sector

(Public/Private), and Education (Graduate/PG). To conduct regression analysis on

categorical demographic variables they were coded. The assumption of (a) Sample size, (b)

Multicollinearity, (c) Outliers, (d) Normality, (e) Linearity, and (f) homoscedasticity were

examined before conducting multiple linear regression.

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5.4.3 Data Analysis for Research Question 5:

To know about the major health issues among bank employees in Gujarat descriptive analysis

and chi square analysis were used.

6. Result:

6.1 Research Question 1: What is the factor structure of the items on the Employee

wellness Scale with a sample of Bank employees in Gujarat?

The researcher conducted an Exploratory Factor Analysis that identified a seven-factor

solution with eigen values greater than 1.0 within the data. The seven factors accounted for

55% of the variance, which is satisfactory in social science research (Hair et al., 2006). Factor

1 represented Physical Wellness and accounted for 11% of the variance, Factor 2 represented

Intellectual Wellness and accounted for 6% of the variance, Factor 3 represented

Occupational Wellness and accounted for 7% of the variance, Factor 4 represented

Environmental Wellness and accounted for 9% of the variance, Factor 5 represented Social

Wellness and accounted for 7% of the variance, Factor 6 represented Emotional Wellness and

accounted for 8% of the variance, and Factor 7 represented Spiritual Wellness and accounted

for 8% of the variance.

Confirmatory factor analysis (CFA) was performed to assess the overall goodness-of-fit of all

the constructs to determine the validity of the measures. Model yielded an acceptable level of

fit: RMSEA = 0.06, CFI = 0.89 , and TLI = 0.88. The CFA model fit well with the collected

data and the relationships between the observed variables and latent variables were

significant.

6.2 Research Question 2: What is the internal consistency reliability of the Employee

wellness Scale with a sample of bank employees?

For Research Question 2, the researcher computed Cronbach’s alfa to assess the internal

consistency reliability of the Employee Wellness Scale with these data. Computing

Cronbach’s alpha allows for assessing the degree of correlation between items on the

Employee Wellness Scale. The Cronbach’s α value for the 36 items (N = 496) was calculated

as .94. The factor wise Cronbach’s α value range from .75 to .88.

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6.3 Research Question 3: What are the relationships between Bank employee’s

Employee wellness Scale score and their reported demographic data?

Hypothesis 1: For the population of Bank employees, there is no linear association between

Total Employee Wellness Score, Age, Designation, Bank Sector, Gender, and Level of

Education

Multiple Linear Regression: F (5, 490) = 65.25, p-value <0.00 , R = 0.63, R2 = 0.40

Result: Hypothesis is Rejected

Designation, Age, Gender, and Level of Education predicted Total Employee Wellness Score

significantly with designation accounted for highest level of beta value.

6.4 Research Question 4: What is the relationship between Bank employee’s factor wise

wellness score and their reported demographic data?

Hypothesis 2: For the population of Bank employees, there is no linear association between

Total Physical Wellness Score, Age, Designation, Bank Sector, Gender, and Level of

Education

Multiple Linear Regression: F (5, 490) = 75.39, p-value <0.00 , R = 0.66, R2 = 0.43

Result: Hypothesis is rejected

Hypothesis 3: For the population of Bank employees, there is no linear association between

Total Intellectual Wellness Score, Age, Designation, Bank Sector, Gender, and Level of

Education

Multiple Linear Regression: F (5, 490) = 11.84, p-value <0.00 , R = 0.33, R2 = 0.11

Result: Hypothesis is rejected

Hypothesis 4: For the population of Bank employees, there is no linear association between

Total Occupational Wellness Score, Age, Designation, Bank Sector, Gender, and Level of

Education

Multiple Linear Regression: F (5, 490) = 118.04, p-value < 0.00, R = 0.74, R2 = 0.55

Result: Hypothesis is rejected

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Hypothesis 5: For the population of Bank employees, there is no linear association between

Total Environmental Wellness Score, Age, Designation, Bank Sector, Gender, and Level of

Education

Multiple Linear Regression: F (5, 490) = 33.53, p-value < 0.00, R = 0.50, R2 = 0.25

Result: Hypothesis is rejected

Hypothesis 6: For the population of Bank employees, there is no linear association between

Total Social Wellness Score, Age, Designation, Bank Sector, Gender, and Level of Education

Multiple Linear Regression: F (5, 490) = 13.44, p-value < 0.00, R = 0.35, R2 = 0.12

Result: Hypothesis is rejected

Hypothesis 7: For the population of Bank employees, there is no linear association between

Total Emotional Wellness Score, Age, Designation, Bank Sector, Gender, and Level of

Education

Multiple Linear Regression: F (5, 490) = 23.49, p-value < 0.00, R = 0.44, R2 = 0.19

Result: Hypothesis is rejected

Hypothesis 8: For the population of Bank employees, there is no linear association between

Total Spiritual Wellness Score, Age, Designation, Bank Sector, Gender, and Level of

Education

Multiple Linear Regression: F (5, 490) = 14.93, p-value < 0.00, R = 0.36, R2 = 0.13

Result: Hypothesis is rejected

6.5 Research Question 5: What are the most common health issues that Bank

Employees experience?

The descriptive statistics of the data collected for research question 4 shows that 25.81%

employees reported that they are suffering from joint pain/Neck pain/Back pain. 14.72%

reported that they have tobacco/alcohol addiction. 6.45% employees reported that they are

overweight. 5.85% employees reported they are suffering from diabetes. 5.65% reported that

they have anemia. 3.02% reported they have cardiovascular disease. 4.44% reported they

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have other health issues. Among other health issues it was found that 3.4% employees are

suffering from frequent headache. The result of chi square analysis is given below:

Hypothesis 9: For the population of Bank employees, prevalence of health issues is

independent of employee’s Designation

Chi square = 13.51, P-Value < 0.00

Result: Hypothesis is rejected

Hypothesis 10: For the population of Bank employees, prevalence of health issues is

independent of employee’s Gender

Chi square = 4.31, P-Value < 0.04

Result: Hypothesis is rejected

Hypothesis 11: For the population of Bank employees, prevalence of health issues is

independent of employee’s Age

Chi square = 125.15, P-Value < 0.00

Result: Hypothesis is rejected

Hypothesis 12: For the population of Bank employees, prevalence of health issues is

independent of employee’s Level of Education

Chi square = 1.80, P-Value < 0.18

Result: Hypothesis is accepted

Hypothesis 13: For the population of Bank employees, prevalence of health issues is

independent of the type of banking sector where employees is working

Chi square = 44.53, P-Value < 0.00

Result: Hypothesis is rejected

Hypothesis 14: For the population of Bank employees, prevalence of health issues is

independent of the Work experience in banking sector.

Chi square = 128.65, P-Value < 0.00

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Result: Hypothesis is rejected

7. Achievements with respect to objectives

The aim of the research was to develop an Employee Wellness Scale and examine its

psychometric properties in the sample of bank employees. In pursuit of this aim, four

objectives were developed, which were addressed through the research questions which acted

as a focus for data collection and analysis.

7.1 Objective-1: To explore the concept of Employee Wellness in the context of the

banking sector

The investigation of this objective through review of literature reveals a number of worrying

issues for employees in banking sector; these included greater pressure on time, problems

with ergonomics, conflicting roles, work demands that were considered excessive, difficult

relationships with customers, and a rising number of cases of stress and violence (ILO, Giga

and Hoel, 2003). Consequently, employees are facing problems like burnout, tension, lack of

satisfaction, etc. (Chen and Lien, 2008; Bajpai and Srivastava, 2004). Additionally, the risk

for chronic disease is increased among bank employees in India due to the sedentary nature

of their jobs (Sarkar et.al. 1999, S Ganesh Kumar et al 2013). Thus, organisations should

assess employee wellness and consistently strive for increasing awareness among employees

on the holistic components to overall wellness.

7.2 Objective-2: To develop Employee Wellness Scale for bank employees

The findings in Research Question 1 support the idea of a seven factor wellness assessment

allowing bank employees to evaluate themselves in Factor 1 (Physical), Factor 2

(Intellectual), Factor 3 (Occupational), Factor 4(Environmental), Factor 5 (Social), Factor 6

(Emotional), and Factor 7 (Spiritual). The researcher found strong support based on statistical

methods used in Research Question 1 and Research Question 2 (i.e., factor analysis,

Cronbach’s alpha) for the Employee Welllness Scale factor structure and the items

comprising the scale. Thus, a sound 36-item scale for assessing employee wellness was

created for use in the banking sector.

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7.3 Objective-3: To assess the level of Employee Wellness in the banking sector of

Gujarat.

The descriptive statistics of the data collected for research question 4 shows that 39.51% of

the bank employees are suffering from some kind of health issues. 24.71% of them are 21 to

40 years old. Prevalence of health issues was higher among officers. Male employees were

suffering from more health issues compared to female employees. The result of chi square

analysis reveals that Level of designation, Age, Gender, and Type of bank sector where

employee is working were associated with the prevalence of health issues among the

population of bank employees in Gujarat.

7.4 Objective-4: To explore the relationship between Employee Wellness and

Demographic variables.

The findings of Research Question 3 reveals, that demographic variable Designation, Age,

Gender, and Education are associated with Total Employee Wellness Score significantly with

designation accounted for highest level of beta value. The result also reveals that age, level of

designation, and level of Education has a negative relationship with Total Employee

Wellness Score. Additionally, Female employees had better Total Employee Wellness Score

compared to male employees.

The findings of multiple linear regression under Research Question 4 reveals, that

demographic variable Designation, Age and Gender are associated with Total Physical

Wellness Score significantly with designation accounted for highest level of beta value. The

result also reveals that age and level of designation has a negative relationship with Total

Physical Wellness Score. Additionally, Female employees had better Total Physical Wellness

Score compared to male employees.

The findings of multiple linear regression under Research Question 4 reveals, that

demographic variable Designation and Age are associated with Total Intellectual Wellness

Score significantly with designation accounted for highest level of beta value. The result also

reveals that age and level of designation has a negative relationship with Total Intellectual

Wellness Score.

The findings of multiple linear regression under Research Question 4 reveals, that

demographic variable Designation and Age are associated with Total Occupational Wellness

Score significantly with designation accounted for highest level of beta value. The result also

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reveals that age and level of designation has a negative relationship with Total Intellectual

Wellness Score.

The findings of multiple linear regression under Research Question 4 reveals, that

demographic variable Designation, Age, Gender and level of Education are associated with

Total Environmental Wellness Score significantly with designation accounted for highest

level of beta value. The result also reveals that age, level of designation, and level of

education has a negative relationship with Total Environmental Wellness Score. Additionally,

Female employees had better Total Environmental Wellness Score compared to male

employees.

The findings of multiple linear regression under Research Question 4 reveals, that

demographic variable Designation and Age are associated with Total Social Wellness Score

significantly with designation accounted for highest level of beta value. The result also

reveals that age and level of designation has a negative relationship with Total Social

Wellness Score.

The findings of multiple linear regression under Research Question 4 reveals, that

demographic variable Designation, Age, and Education are associated with Total Emotional

Wellness Score significantly with designation accounted for highest level of beta value. The

result also reveals that age, level of designation, and level of education has a negative

relationship with Total Emotional Wellness Score.

The findings of multiple linear regression under Research Question 4 reveals, that

demographic variable Designation is associated with Total Spiritual Wellness Score

significantly. The result also reveals that level of designation has a negative relationship with

Total Spiritual Wellness Score.

8. Conclusion:

The researcher implemented a correlational design for the study (Gall et al., 2007) and as is

the case with correlations, the researcher was unable to predict causality (Tabachnick& Fidel,

2013). Thus, the employees’ results on the Employee Wellness Scale as well as answers to

specific items on the Employee Wellness Scale do not mean that those caused wellness or

unwellness.

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The researcher provides recommendations for future research to be conducted with the

Employee Wellness Scale, including (a) using the Employee Wellness Scale with diverse

samples, (b) conducting Factor Analysis with a larger sample; (c) cross-validating the

Employee Wellness Scale with other wellness assessments; and (d) conducting a longitudinal

study to assess if the Employee Wellness Scale is sensitive to participant change over time.

Exploration of the concept of Employee Wellness in the context of banking sector poses a

considerable challenge. The present research investigation generated a theoretically and

methodologically sound instrument for assessing wellness in bank employees, and produced

some important results that have implications for both research and practice. These findings

may not be generalised to the whole Banking sector, but it is possible that it can provide

insights that might be applicable to other similar contexts. Use of Employee Wellness Scale

will allow individuals and organisations to assess person’s strength and weakness in different

areas of wellness.

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Copies of papers published and a list of all publications arising from the thesis:

• ManaliThakar& Dr. SampadaKapse (2017). Evolution of Employee Wellness

Program: A Review of Literature. SAMIKSHA : An International Journal of

Multidisciplinary Academic Research, Vol.5, Issue- 2, 8-14

• ManaliThakar& Dr. SampadaKapse (2018). Employee Wellness: A Review of

Measurement. SAMIKSHA : An International Journal of Multidisciplinary Academic

Research, Vol.5, Issue- 2, 8-14

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