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Special issue
Sci.Int.(Lahore),28(3), 3157-3161,2016 ISSN 1013-5316;CODEN: SINTE 8 3157
CORE SELF-EVALUATION, MEDIATOR FOR IMPROVED WORK
PERFORMANCE THROUGH EMPLOYEE ENGAGEMENT: EVIDENCE FROM
HEALTH SECTOR IN PUNJAB, PAKISTAN
1
Rizwan Qaiser Danish, 2
Yasir Latif, 3
Musarrat Nawaz, 4
Ammar Pervaiz, 5
AtiqaRazzaq
1, 5
Hailey College of Commerce, University of the Punjab, Lahore
2, 4
Institute of Business Management, UET Lahore
3
University of the Punjab, Gujranwala Campus, Pakistan
Corresponding Author: mianyasirlatif@gmail.com
ABSTRACT: Self Evaluation is an effective analyzing tool for better performance. The study is aimed to analyze impact of
hospital Employees Engagement (EE) on their performance (EP) under mediation of Core Self-Evaluation (CSE). Primary
cross-sectional data is taken from 300 staff members of private and public hospitals of Punjab using convenience sampling and
251 chosen for study. Variables of interest are correlated and it is found that CSE mediates relationship between EE and EP.
Results have indicated significant correlation among variables, SEM indicates model fit and sobel test verifies mediation. This
study is beneficial to increase the individual-level and organizational-level performance of employees as well as application of
CSE for improved performance in hospitals.
Key Words: Employee Engagement (EE), Employee Performance (EP), Core Self-Evaluation (CSE), Task Performance (TP), Work,
Health, Organizational Citizenship Behavior-Individual (OCB-Individual), Organizational Citizenship Behavior-Organization (OCB-
organization).
1. INTRODUCTION
Those companies which follow practices that increase the
level of EE will help them in gaining competitive advantage
over other firms in the long-run. Subsequently, engaged
employees play important contribution in successfully
fulfilling the strategic goals and objectives of organization.
Being physically as well as psychologically present at the
time of performing organizational roles referred to as EE [1].
Engaged employees are active, have the ability to accomplish
the demands of the job and have positive association with
their roles of the job [2]. The engaged managers are essential
for improved EE. To observe the impact of EE on EP, by
considering the mediating role of CSE some of the aims of
this research are:
 To verify relationship between EE and Task Performance
(TP) under mediation of CSE.
 To verify relationship between EE and OCB-Individual
under mediation of CSE.
 To verify relationship between EE and OCB-
Organizational under mediation of CSE.
Literature Review
EE theory was given by [1]. EE is “ the attaching of the
members of organization to their duties; engaged employees
express their physical, cognitive, and emotional presence
during performance of their roles” [1]. The researchers and
practitioners both are agreed that the EE has positive
significances [3]. When employees voluntarily put extra time,
efforts and energy into their roles without any pressure from
the organization is called engagement [4]. When employees
feel obliged and put additional efforts into their jobs
comparatively to the payments they receive from their
organization is called engagement [1]. A number of
evidences support the association between the work
engagement of employees and performance at the
organizational level [5]. Engaged employees increase
customer loyalty which results in improved organizational
profitability [6].
EE has a positive relationship with improved satisfaction at
work, low absenteeism, high commitment and productivity
[7-10]. In comparison with other predictors of organizational
performance, EE is the strongest predictor of all [11]. If the
employees have the opportunity to convey their ideas and
suggestions to the upper level management then the
engagement level of employees increases (Truss et al 2006).
As compare to other job attitudes, EE strongly predicts the
performance of employees[12]. Employees which have
decision-making power related to their jobs have higher
engagement levels[13]. Engaged employees perform better
than other employees [14]. EE positively support In-role
performance of employees [15]. The proper and timely
feedback by the employer to the employees for their
contributions keeps employees happy and engaged for a
longer period of time [16].
H1: CSE is a mediator between EE and TP.
H2: CSE is mediator between EE and OCB-Individual.
H3: CSE is mediator between EE and OCB-Organization.
Methodology
Self-administered structured questionnaires were used for
data collection from the health sector lower-level, middle-
level and upper-level employees. Questionnaire includes the
information given below:
Demographics section consist the name of the organization,
gender, job nature, designation, marital status, education and
total job experience. Subjective section contains measures of
variables EE, TP, OCB-individual and OCB-organization. 5-
point Likert scale ranging from Strongly Disagree, SD=1 to
Strongly Agree, SA=5, was adapted to get the respondents’
responses. For this study the 300 questions were distributed
among the different private and public hospitals of Punjab.
Total of 251 questionnaires were properly filled by the
employees and the rate of response was 83.67%.We chose 8
major public and private hospitals of the Punjab, Pakistan to
collect the data from the respondents.
Special issue
Sci.Int.(Lahore),28(3), 3157-3161,2016 ISSN 1013-5316;CODEN: SINTE 8 3158
Figure I
Variables and Measures`
For measuring EE, scale comprising of 7-items likert scale is
used, developed by [9] to measure EE and burnout. 5-item
questionnaire of in-role performance and extra-role
performance is adopted in this research and it was formulated
by [17]. CSE is taped with the help of 12-item scale
formulated by [18].
RESULTS
251 self administered questionnaires were submitted with
responses of 61% male and 39% female, out of which 55.8%
were contractual whereas 44.2% were permanent job holders.
72.5% respondents’ lie in middle management, 23.5% from
upper level and 4% are from lower positions. 51%
respondents were graduates, 40.6% were equal to master
degree and above and 8.4% respondents were
undergraduates. 39.8% respondents had 2-4 years experience,
35.1% respondents had 10 years or above, whereas 25.1%
had 5-10 years. 44.6 % were unmarried whereas 55.4%
weren’t. The values of the mean and standard deviation (SD)
of EE shown in Table.1 are (M = 4, SD = .714), OCB-
Individual (M = 3.73, SD = .685), OCB-Organization (M =
3.90, SD = 720), TP (M = 4.23, SD = .607) whereas CSE (M
= 4.01, SD = .548). TP mean value is highest at 4.23,
indicating that employees are very keen to increase their TP
and highly motivated, playing a major contributor in the
achievement of organizational desired objectives. The
Pearson’s product moment co-efficient of correlation between
variables are also given in Table I. The highest correlation is
found between CSE and OCB-Organization i.e. r= 0.794, P <
0.01. This shows that employees who regularly evaluate their
self-performance are greatly and positively involved in the
behavior of OCB-Organization. The reliability values of the
individual measure are also given in Table I.
The variable EE has the highest reliability with r = 0.832.
Pearson’s moment co-efficient of correlation
Table I
Variables Mean SD Reliability EE OCB-
Individual
OCB-
Organization
CSE
EE 4 .714 0.832
OCB-Individual
3.73 .685 0.774 .326 **
OCB-
Organization 3.90 .720 0.792 .509 ** .389 **
TP
4.23 .607 0.724 .437 ** .394 ** .727 **
CSE
4.01 .548 0.824 .455** .504** .794** .681**
**. Correlation, significant at 0.01 level (2-tailed).
Mediation Tests
Results for hypothesis and model fit are analyzed by
Structural Equation Modeling (SEM). CMIN/DF, GFI, AGFI,
RMSEA, TLI and CFI, all are good for model fit as shown in
Table
II.
Employee
Engagement
Task Performance
OCB-Individual
OCB-Organization
Core Self-Evaluation
Model 1
Model 3
Model 2
Special issue
Sci.Int.(Lahore),28(3), 3157-3161,2016 ISSN 1013-5316;CODEN: SINTE 8 3159
Model fit Indices of Structural Equation Measurement Model
Table II
Index of Fit Chi-Square /(df) CMIN/DF GFI AGFI NFI IFI TLI CFI RMSEA
Value 392.654/ 137 2.87 0.87 0.82 0.82 0.87 0.84 0.87 0.086
Proposed Mediation Model 1
Results of Table III, shows regression results coefficient of
regression, standard error of association and significance
level (P value) between the relationships independent
variable (IV) EE, mediating variable (MV) CSE and
dependent variable (DV) TP. Table III, presents a significant
relationship between EE and TP. Table represented, IV (EE)
and MV (CSE) have a significant relationship at significance
value, p = .000 < .01. The relationship between DP (TP) and
MV (CSE) is also significant at P value < .01.
Results of Regression Analysis of all Model 1 Relationships
Table III
Regression Coefficients for association
between the EE and TP
.332
Std. Error of c .050
P value of c .000
Regression Coefficients for association
between the EE and CSE
.240
Std. Error of a .046
P value of a .000
Regression Coefficients for association
between the CSE and TP.
.501
Std. Error of b .063
P value of b .000
Proposed Mediation Model 2
Results of Table IV show the regression analysis of IV (EE),
MV (CSE) and DV (OCB-individual). Results show the
coefficient of regression, standard error of association and
significance level (P value). Table IV shows that there
significant relationship at significance level, p = .000 < .01,
between EE and OCB-Individual. The table also indicates
that IV (EE) and MV (CSE) also has significant relationship at
significance level, p = .000 < .01. Relationship between DV
(OCB-Individual) and MV (CSE) is also significant at p value
< .01.
Results of Regression Analysis of all Model 2 Relationships
Table IV
Regression Coefficients for the
association between EE and OCB-
Individual
.306
Std. Error of c .058
P value of c .000
Regression Coefficients for the
association between EE and CSE
.240
Std. Error of a .046
P value of a .000
Regression Coefficients for the
association between CSE and OCB-
Individual.
.435
Std. Error of b .074
P value of b .000
Proposed Mediation Model 3
Results of Table V show the regression analysis of IV (EE),
MV (CSE) and DV (OCB -organization). Results show the
coefficient of regression, standard error of association and
significance level (p value) between relationships of
variables. Table V, shows a significant relationship at p=
.000<.01, between EE and OCB-Organization. The
relationship between DV (OCB-Organization) and MV (CSE)
is also significant with p value < .01, results show that the
variable CSE is a full mediator between EE and TP with
significant p value = .000. The relationship between EE and
OCB-individual is fully mediated by CSE having asignificant
mediation value (p = .000<.01), while CSE partially mediates
relationship between EE and OCB-Organization showing
significant mediation relationship value at p = .000<.01.
.
Results of Regression Analysis of all Model 3 Relationships
Table V
Regression Coefficients for association
between EE and OCB-Organization.
.430
Std. Error c .058
P value of c .000
Regression Coefficients for association
between EE and CSE.
.240
Std. Error a .046
P value of a .000
Regression Coefficients for association
between CSE and OCB-Organization.
.724
Std. Error b .069
P value of b .000
Mediating effect of CSE on relationship of EE and EP was
analyzed using Sobel test
Results of Mediation Analysis of All 3 Model Relationships
Table VI
Results of Model 1 Results of Model 2 Results of Model 3
Sobel test P Value Sobel test P Value Sobel test P Value
4.362 .000 3.902 .000 4.672 .000
Special issue
Sci.Int.(Lahore),28(3), 3157-3161,2016 ISSN 1013-5316;CODEN: SINTE 8 3160
CONCLUSION
This study intended to analyze mediation of CSE on the
relationship of EE and EP. Results indicated that mediation
model of the variables EE, TP, OCB-Individual, OCB-
Organization and CSE fit data well. Research established the
three hypotheses showing the mediation relationships
between independent variable (EE) and dependent variables.
All the variables have significant and positive correlation
between them. The findings of regression analysis and
mediation tests show that all mediation hypotheses are
accepted. CSE is full mediator between EE and TP. The
relationship between EE and OCB-Individual is also fully
mediated by CSE. CSE partially mediates relationship
between EE and OCB-Organization.
Practical Implications
This research will be a contribution to previous studies
related to this concept. This study will have great
implications for hospital managers and employers who want
to increase the individual-level and organizational-level
performance of employees. Managers must take all the
measures that will contribute in increasing the engagement
level of employees. As if the employees are engaged, they
will evaluate their work performance for the time being and
work more motivationally and effectively. Consequently,
their performance will be positively affected and they
perform their job roles more efficiently, leading to
successfully achieving organizational objectives. Those
employees having high engagement level will be more
involved in extra-role behaviors apart from their In-role
performance.
Limitations and Suggestions
This study is conducted only on employees of health sector in
Punjab Province of Pakistan but it can be replicated on other
organizations in entire country for better generalizibility. This
study analyzes the mediating impact of CSE but it can be
carried out under mediating role of other personality traits on
relationship of EE and EP.
REFERENCES
1. Kahn, W.A., Psychological conditions of personal
engagement and disengagement at work. Academy
of Management Journal, 1990. 33: p. 692-724.
2. Maslach, C., W.B. Schaufeli, and M.P. Leiter, Job
burnout. Annual Review of Psychology, 2001. 52: p.
397-422.
3. Saks, A.M., Antecedents and consequences of
employee engagement. Journal of Managerial
Psychology, 2006. 21(7): p. 600-619.
4. Richman, A., Everyone wants an engaged workforce
how can you create it? Workspan., 2006. 49: p. 36-
39.
5. Simpson, M.R., Engagement at work: A review of
the literature. International Journal of Nursing
Studies, 2009. 46: p. 1012–1024.
6. Andrewa, O.C. and S. Sofian, Individual factors and
work outcomes of employee engagement. Social and
Behavioral Sciences 2012. 40: p. 498 – 508.
7. B.Schaufeli, W., et al., Burnout and engagement in
university students : A Cross-National Study.
JOURNAL OF CROSS-CULTURAL
PSYCHOLOGY, 2002. 33(5): p. 464-481.
8. Schaufeli, W.B. and A.B. Bakker, Job demands, job
resources, and their relationship with burnout and
engagement: a multi-sample study. Journal of
Organisational Behaviour, 2004. 25: p. 293-315.
9. Schaufeli, W.B., et al., The measurement of
engagement and burnout and: A two sample
confirmatory factor analytic approach. Journal of
Happiness Studies, 2002. 3: p. 71-92.
10. Salanova, M., et al., Perceived collective efficacy,
subjective well-being and task performance among
electronic work groups: An experimental study.
Small Groups Research, 2003. 34: p. 43–73.
11. Markos, S. and M.S. Sridevi, Employee
engagement: The key to mproving performance.
International Journal of Business and Management,
2010. 5(12): p. 89-96.
12. S.Christian, M., A. S.Garza, and J. E.Slaughter,
Work engagement: A quantitative review and test of
its relations with taskand contextual performance.
Personnel Psychology, 2011 64: p. 89–136.
13. Purcell, J., et al., Understanding the people and
performance link: Unlocking the black box. London,
CIPD, 2003.
Special issue
Sci.Int.(Lahore),28(3), 3157-3161,2016 ISSN 1013-5316;CODEN: SINTE 8 3161
14. Bakker, A.B., E. Demerouti, and W. Verbeke, Using
the job demands: resources model to predict
burnout and performance. Human Resource
Management,, 2004. 43: p. 83-104.
15. Schaufeli, W.B., A.B. Bakker, and M. Salanova, The
measurement of work engagement with a brief
questionnaire: a cross-national study. Educational
and Psychological Measurement, 2006. 66: p. 701-
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16. Pfau, B. and I. Kay, The hidden human resource:
Shareholder value—finding the right blend of
rewards, flexibility, and technology to manage your
people adds measurable value to the corporate
bottom line. Optimize, 2002.
17. Williams, L.J. and S.E. Anderson, Job satisfaction
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Journal of Management, 1991. 17: p. 601-617.
18. Judge, T.A., et al., Are measures of self-esteem,
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4th paper

  • 1. Special issue Sci.Int.(Lahore),28(3), 3157-3161,2016 ISSN 1013-5316;CODEN: SINTE 8 3157 CORE SELF-EVALUATION, MEDIATOR FOR IMPROVED WORK PERFORMANCE THROUGH EMPLOYEE ENGAGEMENT: EVIDENCE FROM HEALTH SECTOR IN PUNJAB, PAKISTAN 1 Rizwan Qaiser Danish, 2 Yasir Latif, 3 Musarrat Nawaz, 4 Ammar Pervaiz, 5 AtiqaRazzaq 1, 5 Hailey College of Commerce, University of the Punjab, Lahore 2, 4 Institute of Business Management, UET Lahore 3 University of the Punjab, Gujranwala Campus, Pakistan Corresponding Author: mianyasirlatif@gmail.com ABSTRACT: Self Evaluation is an effective analyzing tool for better performance. The study is aimed to analyze impact of hospital Employees Engagement (EE) on their performance (EP) under mediation of Core Self-Evaluation (CSE). Primary cross-sectional data is taken from 300 staff members of private and public hospitals of Punjab using convenience sampling and 251 chosen for study. Variables of interest are correlated and it is found that CSE mediates relationship between EE and EP. Results have indicated significant correlation among variables, SEM indicates model fit and sobel test verifies mediation. This study is beneficial to increase the individual-level and organizational-level performance of employees as well as application of CSE for improved performance in hospitals. Key Words: Employee Engagement (EE), Employee Performance (EP), Core Self-Evaluation (CSE), Task Performance (TP), Work, Health, Organizational Citizenship Behavior-Individual (OCB-Individual), Organizational Citizenship Behavior-Organization (OCB- organization). 1. INTRODUCTION Those companies which follow practices that increase the level of EE will help them in gaining competitive advantage over other firms in the long-run. Subsequently, engaged employees play important contribution in successfully fulfilling the strategic goals and objectives of organization. Being physically as well as psychologically present at the time of performing organizational roles referred to as EE [1]. Engaged employees are active, have the ability to accomplish the demands of the job and have positive association with their roles of the job [2]. The engaged managers are essential for improved EE. To observe the impact of EE on EP, by considering the mediating role of CSE some of the aims of this research are:  To verify relationship between EE and Task Performance (TP) under mediation of CSE.  To verify relationship between EE and OCB-Individual under mediation of CSE.  To verify relationship between EE and OCB- Organizational under mediation of CSE. Literature Review EE theory was given by [1]. EE is “ the attaching of the members of organization to their duties; engaged employees express their physical, cognitive, and emotional presence during performance of their roles” [1]. The researchers and practitioners both are agreed that the EE has positive significances [3]. When employees voluntarily put extra time, efforts and energy into their roles without any pressure from the organization is called engagement [4]. When employees feel obliged and put additional efforts into their jobs comparatively to the payments they receive from their organization is called engagement [1]. A number of evidences support the association between the work engagement of employees and performance at the organizational level [5]. Engaged employees increase customer loyalty which results in improved organizational profitability [6]. EE has a positive relationship with improved satisfaction at work, low absenteeism, high commitment and productivity [7-10]. In comparison with other predictors of organizational performance, EE is the strongest predictor of all [11]. If the employees have the opportunity to convey their ideas and suggestions to the upper level management then the engagement level of employees increases (Truss et al 2006). As compare to other job attitudes, EE strongly predicts the performance of employees[12]. Employees which have decision-making power related to their jobs have higher engagement levels[13]. Engaged employees perform better than other employees [14]. EE positively support In-role performance of employees [15]. The proper and timely feedback by the employer to the employees for their contributions keeps employees happy and engaged for a longer period of time [16]. H1: CSE is a mediator between EE and TP. H2: CSE is mediator between EE and OCB-Individual. H3: CSE is mediator between EE and OCB-Organization. Methodology Self-administered structured questionnaires were used for data collection from the health sector lower-level, middle- level and upper-level employees. Questionnaire includes the information given below: Demographics section consist the name of the organization, gender, job nature, designation, marital status, education and total job experience. Subjective section contains measures of variables EE, TP, OCB-individual and OCB-organization. 5- point Likert scale ranging from Strongly Disagree, SD=1 to Strongly Agree, SA=5, was adapted to get the respondents’ responses. For this study the 300 questions were distributed among the different private and public hospitals of Punjab. Total of 251 questionnaires were properly filled by the employees and the rate of response was 83.67%.We chose 8 major public and private hospitals of the Punjab, Pakistan to collect the data from the respondents.
  • 2. Special issue Sci.Int.(Lahore),28(3), 3157-3161,2016 ISSN 1013-5316;CODEN: SINTE 8 3158 Figure I Variables and Measures` For measuring EE, scale comprising of 7-items likert scale is used, developed by [9] to measure EE and burnout. 5-item questionnaire of in-role performance and extra-role performance is adopted in this research and it was formulated by [17]. CSE is taped with the help of 12-item scale formulated by [18]. RESULTS 251 self administered questionnaires were submitted with responses of 61% male and 39% female, out of which 55.8% were contractual whereas 44.2% were permanent job holders. 72.5% respondents’ lie in middle management, 23.5% from upper level and 4% are from lower positions. 51% respondents were graduates, 40.6% were equal to master degree and above and 8.4% respondents were undergraduates. 39.8% respondents had 2-4 years experience, 35.1% respondents had 10 years or above, whereas 25.1% had 5-10 years. 44.6 % were unmarried whereas 55.4% weren’t. The values of the mean and standard deviation (SD) of EE shown in Table.1 are (M = 4, SD = .714), OCB- Individual (M = 3.73, SD = .685), OCB-Organization (M = 3.90, SD = 720), TP (M = 4.23, SD = .607) whereas CSE (M = 4.01, SD = .548). TP mean value is highest at 4.23, indicating that employees are very keen to increase their TP and highly motivated, playing a major contributor in the achievement of organizational desired objectives. The Pearson’s product moment co-efficient of correlation between variables are also given in Table I. The highest correlation is found between CSE and OCB-Organization i.e. r= 0.794, P < 0.01. This shows that employees who regularly evaluate their self-performance are greatly and positively involved in the behavior of OCB-Organization. The reliability values of the individual measure are also given in Table I. The variable EE has the highest reliability with r = 0.832. Pearson’s moment co-efficient of correlation Table I Variables Mean SD Reliability EE OCB- Individual OCB- Organization CSE EE 4 .714 0.832 OCB-Individual 3.73 .685 0.774 .326 ** OCB- Organization 3.90 .720 0.792 .509 ** .389 ** TP 4.23 .607 0.724 .437 ** .394 ** .727 ** CSE 4.01 .548 0.824 .455** .504** .794** .681** **. Correlation, significant at 0.01 level (2-tailed). Mediation Tests Results for hypothesis and model fit are analyzed by Structural Equation Modeling (SEM). CMIN/DF, GFI, AGFI, RMSEA, TLI and CFI, all are good for model fit as shown in Table II. Employee Engagement Task Performance OCB-Individual OCB-Organization Core Self-Evaluation Model 1 Model 3 Model 2
  • 3. Special issue Sci.Int.(Lahore),28(3), 3157-3161,2016 ISSN 1013-5316;CODEN: SINTE 8 3159 Model fit Indices of Structural Equation Measurement Model Table II Index of Fit Chi-Square /(df) CMIN/DF GFI AGFI NFI IFI TLI CFI RMSEA Value 392.654/ 137 2.87 0.87 0.82 0.82 0.87 0.84 0.87 0.086 Proposed Mediation Model 1 Results of Table III, shows regression results coefficient of regression, standard error of association and significance level (P value) between the relationships independent variable (IV) EE, mediating variable (MV) CSE and dependent variable (DV) TP. Table III, presents a significant relationship between EE and TP. Table represented, IV (EE) and MV (CSE) have a significant relationship at significance value, p = .000 < .01. The relationship between DP (TP) and MV (CSE) is also significant at P value < .01. Results of Regression Analysis of all Model 1 Relationships Table III Regression Coefficients for association between the EE and TP .332 Std. Error of c .050 P value of c .000 Regression Coefficients for association between the EE and CSE .240 Std. Error of a .046 P value of a .000 Regression Coefficients for association between the CSE and TP. .501 Std. Error of b .063 P value of b .000 Proposed Mediation Model 2 Results of Table IV show the regression analysis of IV (EE), MV (CSE) and DV (OCB-individual). Results show the coefficient of regression, standard error of association and significance level (P value). Table IV shows that there significant relationship at significance level, p = .000 < .01, between EE and OCB-Individual. The table also indicates that IV (EE) and MV (CSE) also has significant relationship at significance level, p = .000 < .01. Relationship between DV (OCB-Individual) and MV (CSE) is also significant at p value < .01. Results of Regression Analysis of all Model 2 Relationships Table IV Regression Coefficients for the association between EE and OCB- Individual .306 Std. Error of c .058 P value of c .000 Regression Coefficients for the association between EE and CSE .240 Std. Error of a .046 P value of a .000 Regression Coefficients for the association between CSE and OCB- Individual. .435 Std. Error of b .074 P value of b .000 Proposed Mediation Model 3 Results of Table V show the regression analysis of IV (EE), MV (CSE) and DV (OCB -organization). Results show the coefficient of regression, standard error of association and significance level (p value) between relationships of variables. Table V, shows a significant relationship at p= .000<.01, between EE and OCB-Organization. The relationship between DV (OCB-Organization) and MV (CSE) is also significant with p value < .01, results show that the variable CSE is a full mediator between EE and TP with significant p value = .000. The relationship between EE and OCB-individual is fully mediated by CSE having asignificant mediation value (p = .000<.01), while CSE partially mediates relationship between EE and OCB-Organization showing significant mediation relationship value at p = .000<.01. . Results of Regression Analysis of all Model 3 Relationships Table V Regression Coefficients for association between EE and OCB-Organization. .430 Std. Error c .058 P value of c .000 Regression Coefficients for association between EE and CSE. .240 Std. Error a .046 P value of a .000 Regression Coefficients for association between CSE and OCB-Organization. .724 Std. Error b .069 P value of b .000 Mediating effect of CSE on relationship of EE and EP was analyzed using Sobel test Results of Mediation Analysis of All 3 Model Relationships Table VI Results of Model 1 Results of Model 2 Results of Model 3 Sobel test P Value Sobel test P Value Sobel test P Value 4.362 .000 3.902 .000 4.672 .000
  • 4. Special issue Sci.Int.(Lahore),28(3), 3157-3161,2016 ISSN 1013-5316;CODEN: SINTE 8 3160 CONCLUSION This study intended to analyze mediation of CSE on the relationship of EE and EP. Results indicated that mediation model of the variables EE, TP, OCB-Individual, OCB- Organization and CSE fit data well. Research established the three hypotheses showing the mediation relationships between independent variable (EE) and dependent variables. All the variables have significant and positive correlation between them. The findings of regression analysis and mediation tests show that all mediation hypotheses are accepted. CSE is full mediator between EE and TP. The relationship between EE and OCB-Individual is also fully mediated by CSE. CSE partially mediates relationship between EE and OCB-Organization. Practical Implications This research will be a contribution to previous studies related to this concept. This study will have great implications for hospital managers and employers who want to increase the individual-level and organizational-level performance of employees. Managers must take all the measures that will contribute in increasing the engagement level of employees. As if the employees are engaged, they will evaluate their work performance for the time being and work more motivationally and effectively. Consequently, their performance will be positively affected and they perform their job roles more efficiently, leading to successfully achieving organizational objectives. Those employees having high engagement level will be more involved in extra-role behaviors apart from their In-role performance. Limitations and Suggestions This study is conducted only on employees of health sector in Punjab Province of Pakistan but it can be replicated on other organizations in entire country for better generalizibility. This study analyzes the mediating impact of CSE but it can be carried out under mediating role of other personality traits on relationship of EE and EP. REFERENCES 1. Kahn, W.A., Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal, 1990. 33: p. 692-724. 2. Maslach, C., W.B. Schaufeli, and M.P. Leiter, Job burnout. Annual Review of Psychology, 2001. 52: p. 397-422. 3. Saks, A.M., Antecedents and consequences of employee engagement. Journal of Managerial Psychology, 2006. 21(7): p. 600-619. 4. Richman, A., Everyone wants an engaged workforce how can you create it? Workspan., 2006. 49: p. 36- 39. 5. Simpson, M.R., Engagement at work: A review of the literature. International Journal of Nursing Studies, 2009. 46: p. 1012–1024. 6. Andrewa, O.C. and S. Sofian, Individual factors and work outcomes of employee engagement. Social and Behavioral Sciences 2012. 40: p. 498 – 508. 7. B.Schaufeli, W., et al., Burnout and engagement in university students : A Cross-National Study. JOURNAL OF CROSS-CULTURAL PSYCHOLOGY, 2002. 33(5): p. 464-481. 8. Schaufeli, W.B. and A.B. Bakker, Job demands, job resources, and their relationship with burnout and engagement: a multi-sample study. Journal of Organisational Behaviour, 2004. 25: p. 293-315. 9. Schaufeli, W.B., et al., The measurement of engagement and burnout and: A two sample confirmatory factor analytic approach. Journal of Happiness Studies, 2002. 3: p. 71-92. 10. Salanova, M., et al., Perceived collective efficacy, subjective well-being and task performance among electronic work groups: An experimental study. Small Groups Research, 2003. 34: p. 43–73. 11. Markos, S. and M.S. Sridevi, Employee engagement: The key to mproving performance. International Journal of Business and Management, 2010. 5(12): p. 89-96. 12. S.Christian, M., A. S.Garza, and J. E.Slaughter, Work engagement: A quantitative review and test of its relations with taskand contextual performance. Personnel Psychology, 2011 64: p. 89–136. 13. Purcell, J., et al., Understanding the people and performance link: Unlocking the black box. London, CIPD, 2003.
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