Pacific B usiness R eview (International)

A Refereed Monthly International Journal of Management Indexed With Web of Science(ESCI)
ISSN: 0974-438X
Impact factor (SJIF): 6.56
RNI No.:RAJENG/2016/70346
Postal Reg. No.: RJ/UD/29-136/2017-2019
Editorial Board

Prof. B. P. Sharma
(Editor in Chief)

Dr. Khushbu Agarwal
(Editor)

Editorial Team

A Refereed Monthly International Journal of Management

    Demographic Analysis of QWL- A Study of Government Universities in Punjab

Dr. Kawaljit Kaur

Assistant Professor

CKD Institute of Management & Technology,

Amritsar(Punjab)

 

Abstract 

Quality of work life can be described as the satisfactory work environment which improves the relationship between employee and the organization. The present study aims to verify the quality of work life and motivation of employees and its impact on performance of faculty members. To reach quality of work life the universities have to create more opportunities to retain efficient employees. Good quality of work life is necessary for an organization to attract and to retain skilled and talented employees. Suitable techniques are applied to study the impact of demographic variable on quality of work life.

 

Keywords: Motivation, Job Satisfaction, Job Environment, work life

 

 

Introduction:

QWL programs will help both faculty and institution. It helps faculty by providing them superior work environment, support them in managing their individual work and improving the work environment and for institutions in achieving their goals effortlessly as motivated workforce would reveal enhanced performance and quality Rose et al. (2006). Work satisfaction, triumph and work balance are the important variables to achieve quality in deliverables and also updates that these methods motivates the employees and contribute significantly to job enrichment Hosseini et al. (2010).The growth of one institution depends on the regularity of workers. Institution must be notified well in advance of the absenteeism to reschedule the requisite task They can offer incentives for teachers who keep a good attendance record. Absenteeism could be avoided through increased financial support like earned leaves, good working environment and transportation facilities to commute. Developing infrastructure facilities like crèche nearby office would also help female staff to avoid absenteeism Aswathappa (2002). A reasonable level of attendance by faculties at work is essential to achieve goals and targets by a university. Absenteeism happens when a faculty fails to come to work due to organized time off, sickness, grievance, financial, marital problems or any other reason. The cost of absenteeism to educational sector, usually expressed in terms of lost continuity and effectiveness in the teaching (Adhikari& Gautam, 2012). Quality of work life will assist the well being of the employees in that way the well being of the entire firm. This is an effort to capitalize an organization’s human assets (Kumar et al. 1996).

 

Previous Research

 

Quality of work life is based on how the work is being communicated with in organization and how the organization is recognizing and encouraging faculty  and rewarding them by providing incentives and helping in their career growth by giving promotions (Sheel, 2012). This section will present the literary works related to quality of work life especially with respect to the education industry. Occupational stress symptoms were measured by reflecting burnout, stress-related health problem, perceived work stress, productively, job satisfaction and consideration for job change. The majority of teachers indicated good fit between motivational style and job rewards. Teachers reported burnout, stress related health problems, lowered work productivity, inability to cope with work stress and job change consideration. Emotional fatigue, depression and less individual achievement are due to long term occupational stress and affect the academic growth of the students (Jennett et. al 2003). Rewards and Benefits serves as a motivating factor for teachers to perform well in the colleges. This also creates a healthy competition between teachers in using their overall skills in their performance and strives to increase the overall standard of the college (Kaur, 2012). Compensation plays a pivotal role in effectiveness of the university. Lesser compensation would not attract skilled and experienced people with great performance and would not help in achieving the quality in imparting education, while higher compensation might be an overhead with costs running more than the desired (Malarvizhi, 2012; Islam, 2012). This is a critical factor when we talk about social relations of an employee. University should strive to provide opportunity for every team member to showcase their talent, proficiency, skills, capacity and abilities (Zakari, Khamis & Hamadi, 2010) Utilizing teacher’s capacities in areas other than their present position will help them to understand that management appreciates and identifies  that what the staff has could provide to the university. This can also provide work variety and helps to break up the everyday grind of work and also helps to get free from the stress of the routine work (Gupta & Sharma, 2011).

Objective of Study:

 To map the profile of respondents on the basis of psychographic and demographic variables with respect to their perceptions towards different elements related with quality of work life and to study the impact of Quality of Work life on overall job satisfaction level and motivational level among teachers of universities

PROBLEM IDENTIFIED

Quality of work life has long been recognized as the key to growth of any organization including universities. The review of the existing literature reveals that a numbers of studies have been carried out on various aspects of quality but a very few comprehensive studies in this area could be found; which provides detailed information regarding quality of work life in universities of Punjab region. In the light of the above discussion comprehensive and detailed study regarding universities is of dire need.

Methodology

 The present study deals with different variables related to job satisfaction among Government university teachers. Every employee perceives these variables differently. As suggested by Maslow’s theory that every employee has different level of needs. A variable which is important for one employee may not be equally important for other. Data were collected from 3 Government Universities of Punjab region.

Government Universities

Guru Nanak Dev University

Punjabi University, Patiala

Punjab Agriculture University

 

The faculty members were the basic sampling unit for the present study. The Universities were selected on the basis of year of establishment. The faculty members were approached to fill questionnaire. Of the 300 questionnaires that were distributed to faculty members, 83.33% complete questionnaires were returned. This resulted in a total sample of 250 faculty members. Data were collected through a structured, pre-tested and non-disguised questionnaire. To develop a list of information items for framing the questionnaire, previous studies were followed, experts suggestions were considered as well as online discussions were also held with other researchers. The suggestions led to meaningful modifications. The primary sketch of the questionnaire was pre-tested through personal interviews with 25 faculty members. This helped me to develop a final questionnaire. . The ten variables which positively contribute to the quality of work life were considered under study and matched with demographic variables with respect to their perceptions towards quality of work life. In order to find out significant differences ANOVA (one way) technique was applied. The obtained results were subsequently organized in various tables for analysis and interpretation. On the basis of 10 variables which positively contribute to their QWL. The following table shows different variables with their labeling.

Table 1

List of Variables

Variable

Labels

Variables

C1

Salary and Benefits

C2

Promotion

C3

Leave Plans

C4

Rewards and recognitions

C5

Acknowledgement

C6

Scope for career growth

C7

Job Security

C8

Friendly superiors

C9

Interactive and well-behaved students

C10

Reasonable working hours

Table 2(a)

Mean, SD Scores & SE of Different variables among Teachers of Different Age Groups: Public Sector University

 

Descriptives

Variables

Age

N

Mean

Std. Deviation

Std. Error

C1

25-35

167

4.26

3.144

0.243

35-40

56

4.73

2.895

0.387

40-45

17

4.47

3.300

0.800

45-60

10

4.20

3.584

1.133

Total

250

4.38

3.105

0.196

C2

25-35

167

5.53

3.020

0.234

35-40

56

5.46

2.815

0.376

40-45

17

4.71

3.057

0.741

45-60

10

4.90

2.644

0.836

Total

250

5.44

2.956

0.187

C3

25-35

167

6.25

2.991

0.231

35-40

56

5.61

3.043

0.407

40-45

17

4.47

2.211

0.536

45-60

10

5.40

2.271

0.718

Total

250

5.95

2.959

0.187

C4

25-35

167

5.13

2.751

0.213

35-40

56

5.80

2.561

0.342

40-45

17

5.41

2.671

0.648

45-60

10

4.80

2.394

0.757

Total

250

5.28

2.692

0.170

C5

25-35

167

4.98

2.911

0.225

35-40

56

4.27

2.793

0.373

40-45

17

5.47

2.375

0.576

45-60

10

5.00

2.357

0.745

Total

250

4.86

2.838

0.179

C6

25-35

167

5.28

2.657

0.206

35-40

56

5.46

2.885

0.386

40-45

17

5.47

3.064

0.743

45-60

10

6.70

2.751

0.870

Total

250

5.39

2.739

0.173

C7

25-35

167

6.00

2.755

0.213

35-40

56

5.57

2.859

0.382

40-45

17

5.18

2.531

0.614

45-60

10

3.50

2.121

0.671

Total

250

5.75

2.778

0.176

C8

25-35

167

5.68

2.738

0.212

35-40

56

5.71

2.484

0.332

40-45

17

7.00

2.449

0.594

45-60

10

6.10

3.281

1.038

Total

250

5.80

2.692

0.170

C9

25-35

167

6.16

2.544

0.197

35-40

56

6.54

2.960

0.396

40-45

17

7.18

2.877

0.698

45-60

10

6.20

2.486

0.786

Total

250

6.32

2.662

0.168

C10

25-35

167

5.32

2.707

0.209

35-40

56

6.00

2.822

0.377

40-45

17

5.71

2.801

0.679

45-60

10

6.90

3.213

1.016

Total

250

5.56

2.771

0.175

 


Table 2(b)

Analysis of variance of Different variables on Different Age Groups among University Teachers: Public Sector University

ANOVA

Variables

Variation

Sum of Squares

Df

Mean Square

F

Sig.

C1

Between Groups

9.675

3

3.225

0.332

0.802

Within Groups

2391.225

246

9.720

 

 

Total

2400.900

249

 

 

 

C2

Between Groups

13.549

3

4.516

0.514

0.673

Within Groups

2161.927

246

8.788

 

 

Total

2175.476

249

 

 

 

C3

Between Groups

61.397

3

20.466

2.376

0.071

Within Groups

2118.927

246

8.614

 

 

Total

2180.324

249

 

 

 

C4

Between Groups

21.920

3

7.307

1.008

0.390

Within Groups

1782.916

246

7.248

 

 

Total

1804.836

249

 

 

 

C5

Between Groups

28.652

3

9.551

1.189

0.315

Within Groups

1976.164

246

8.033

 

 

Total

2004.816

249

 

 

 

C6

Between Groups

19.548

3

6.516

0.867

0.459

Within Groups

1848.036

246

7.512

 

 

Total

1867.584

249

 

 

 

C7

Between Groups

68.439

3

22.813

3.029

0.030

Within Groups

1852.685

246

7.531

 

 

Total

1921.124

249

 

 

 

D8

Between Groups

28.088

3

9.363

1.296

0.276

Within Groups

1776.508

246

7.222

 

 

Total

1804.596

249

 

 

 

C9

Between Groups

19.402

3

6.467

0.912

0.436

Within Groups

1744.634

246

7.092

 

 

Total

1764.036

249

 

 

 

C10

Between Groups

38.508

3

12.836

1.686

0.171

Within Groups

1872.968

246

7.614

 

 

Total

1911.476

249

 

 

 

 

            Analysis of variance of different variables (ANOVA) among different age groups. The results depicted in table 5.9 shows that 10 variables were compared with different categories of age. Table 5.9 shows that there is one variable “Job Security” have significant impact on age. Its p values=0.0.3 is found to be less than 0.05 significance level. Further comparison between different age groups indicates that teachers working in public sector university prefer to have more job security. Mean values shows that Teachers between 25-30 have higher mean value 6.00 as compared to other age groups where as teachers between age group of 30-35 also scores mean value at 2nd highest level; 5.57. It can be concluded that public sector university teachers between age group of 25-35 prefer more job security. Other nine variable’s p value was found to be greater than 0.05 level of significance. Hence null hypotheses in case of these variables is not rejected which indicates that there is no significance impact of the variables like salary, promotion rewards recognition, scope for growth, friendly superiors.

 

 

Table 3(a)

Mean , SD Scores & SE of Different variables among Teachers of Different Educational Qualification: Public Sector University

Descriptives

Variables

Qualification

N

Mean

Std. Deviation

Std. Error

C1

PG

143

4.01

2.950

0.247

Ph.D

86

4.77

3.242

0.350

Any other (M.Phil)

21

5.29

3.334

0.727

Total

250

4.38

3.105

0.196

C2

PG

143

5.50

3.126

0.261

Ph.D

86

5.63

2.748

0.296

Any other (M.Phil)

21

4.24

2.364

0.516

Total

250

5.44

2.956

0.187

C3

PG

143

6.12

3.057

0.256

Ph.D

86

5.64

2.782

0.300

Any other (M.Phil)

21

6.05

3.025

0.660

Total

250

5.95

2.959

0.187

C4

PG

143

5.48

2.701

0.226

Ph.D

86

4.90

2.571

0.277

Any other (M.Phil)

21

5.52

3.060

0.668

Total

250

5.28

2.692

0.170

C5

PG

143

4.97

2.886

0.241

Ph.D

86

4.78

2.888

0.311

Any other (M.Phil)

21

4.43

2.315

0.505

Total

250

4.86

2.838

0.179

C6

PG

143

5.49

2.672

0.223

Ph.D

86

5.33

2.972

0.320

Any other (M.Phil)

21

5.00

2.214

0.483

Total

250

5.39

2.739

0.173

C7

PG

143

5.84

2.777

0.232

Ph.D

86

5.52

2.768

0.299

Any other (M.Phil)

21

6.05

2.889

0.630

Total

250

5.75

2.778

0.176

C8

PG

143

5.89

2.738

0.229

Ph.D

86

5.64

2.616

0.282

Any other (M.Phil)

21

5.81

2.786

0.608

Total

250

5.80

2.692

0.170

C9

PG

143

5.99

2.576

0.215

Ph.D

86

6.70

2.723

0.294

Any other (M.Phil)

21

7.00

2.775

0.606

Total

250

6.32

2.662

0.168

C10

PG

143

5.37

2.602

0.218

Ph.D

86

5.93

2.918

0.315

Any other (M.Phil)

21

5.38

3.232

0.705

Total

250

5.56

2.771

0.175

 


Table 3(b)

Analysis of variance of Different variables on Educational Qualification among University Teachers: Public Sector University

ANOVA

Variables

Variation

Sum of Squares

df

Mean Square

F

Sig.

C1

Between Groups

49.293

2

24.647

2.589

0.077

Within Groups

2351.607

247

9.521

 

 

Total

2400.900

249

 

 

 

C2

Between Groups

33.825

2

16.913

1.951

0.144

Within Groups

2141.651

247

8.671

 

 

Total

2175.476

249

 

 

 

C3

Between Groups

12.567

2

6.284

.716

0.490

Within Groups

2167.757

247

8.776

 

 

Total

2180.324

249

 

 

 

C4

Between Groups

19.833

2

9.917

1.372

0.255

Within Groups

1785.003

247

7.227

 

 

Total

1804.836

249

 

 

 

C5

Between Groups

6.046

2

3.023

0.374

0.689

Within Groups

1998.770

247

8.092

 

 

Total

2004.816

249

 

 

 

C6

Between Groups

4.966

2

2.483

0.329

0.720

Within Groups

1862.618

247

7.541

 

 

Total

1867.584

249

 

 

 

C7

Between Groups

7.417

2

3.709

0.479

0.620

Within Groups

1913.707

247

7.748

 

 

Total

1921.124

249

 

 

 

C8

Between Groups

3.323

2

1.661

0.228

0.796

Within Groups

1801.273

247

7.293

 

 

Total

1804.596

249

 

 

 

C9

Between Groups

37.924

2

18.962

2.713

0.068

Within Groups

1726.112

247

6.988

 

 

Total

1764.036

249

 

 

 

C10

Between Groups

17.586

2

8.793

1.147

0.319

Within Groups

1893.890

247

7.668

 

 

Total

1911.476

249

 

 

 

 

Table 3(a) & 3(b) depicting the results of ANOVA shows that p value of all the variables was found to be greater than 0.05. Which indicate that there is no significant impact of different variables on educational qualification public sector to be statistically significant. It means as far as educational qualification was concerned all groups were similar in their attitude indicating thereby that  there was no difference of these variables on the basis of qualification. As far as mean values are compared with different level of qualification of teachers, higher qualified teachers prefer more job security, promotions, scope for career growth, leave plans. Higher qualified teacher’s expectation is high as comparatively. Their supremacy in this regard may be attributed to certain factors like salary & benefits, lesser work load, job security and expect that more opportunities for growth are available as they fall in highly qualified category. Job security and better pay are two main attractions which lure most of the teachers for attaining job in public sector university.

 

 

 

 

Table 4(a)

Mean , SD Scores & SE of Different variables among Teachers with Different categories of Teaching Experience: Public Sector University

Descriptives

Variables

Experience

N

Mean

Std. Deviation

Std. Error

C1

2-5

91

4.31

3.136

0.329

5-15

108

4.57

3.070

0.295

15-25

40

4.15

2.983

0.472

Above 25

11

3.91

3.885

1.171

Total

250

4.38

3.105

0.196

C2

2-5

91

5.54

3.270

0.343

5-15

108

5.28

2.654

0.255

15-25

40

5.48

3.013

0.476

Above 25

11

6.00

3.130

0.944

Total

250

5.44

2.956

0.187

C3

2-5

91

5.91

3.172

0.332

5-15

108

6.23

2.867

0.276

15-25

40

5.22

2.731

0.432

Above 25

11

6.09

2.737

0.825

Total

250

5.95

2.959

0.187

C4

2-5

91

5.53

2.971

0.311

5-15

108

5.01

2.370

0.228

15-25

40

5.45

2.961

0.468

Above 25

11

5.36

2.292

0.691

Total

250

5.28

2.692

0.170

C5

2-5

91

4.46

2.786

0.292

5-15

108

4.94

2.977

0.287

15-25

40

5.30

2.766

0.437

Above 25

11

5.73

1.679

0.506

Total

250

4.86

2.838

0.179

C6

2-5

91

5.42

2.569

0.269

5-15

108

5.37

2.896

0.279

15-25

40

5.52

2.736

0.433

Above 25

11

4.91

2.844

0.858

Total

250

5.39

2.739

0.173

C7

2-5

91

5.73

2.548

0.267

5-15

108

5.84

2.996

0.288

15-25

40

6.05

2.601

0.411

Above 25

11

3.91

2.663

0.803

Total

250

5.75

2.778

0.176

C8

2-5

91

5.92

2.701

0.283

5-15

108

5.69

2.831

0.272

15-25

40

5.62

2.382

0.377

Above 25

11

6.45

2.464

0.743

Total

250

5.80

2.692

0.170

C9

2-5

91

5.93

2.573

0.270

5-15

108

6.51

2.624

0.253

15-25

40

6.72

2.900

0.459

Above 25

11

6.09

2.809

0.847

Total

250

6.32

2.662

0.168

C10

2-5

91

5.86

2.416

0.253

5-15

108

5.35

2.885

0.278

15-25

40

5.50

3.154

0.499

Above 25

11

5.45

3.078

0.928

Total

250

5.56

2.771

0.175

 

Table 4(b)

Analysis of variance of Different variables among teachers with different categories of teaching experience: Public Sector University

ANOVA

Variables

Variation

Sum of Squares

df

Mean Square

F

Sig.

C1

Between Groups

9.099

3

3.033

0.312

0.817

Within Groups

2391.801

246

9.723

 

 

Total

2400.900

249

 

 

 

C2

Between Groups

7.219

3

2.406

.0273

0.845

Within Groups

2168.257

246

8.814

 

 

Total

2175.476

249

 

 

 

C3

Between Groups

29.930

3

9.977

1.141

0.333

Within Groups

2150.394

246

8.741

 

 

Total

2180.324

249

 

 

 

C4

Between Groups

14.718

3

4.906

0.674

0.569

Within Groups

1790.118

246

7.277

 

 

Total

1804.836

249

 

 

 

C5

Between Groups

31.073

3

10.358

1.291

0.278

Within Groups

1973.743

246

8.023

 

 

Total

2004.816

249

 

 

 

C6

Between Groups

3.383

3

1.128

0.149

0.930

Within Groups

1864.201

246

7.578

 

 

Total

1867.584

249

 

 

 

C7

Between Groups

41.859

3

13.953

1.826

0.143

Within Groups

1879.265

246

7.639

 

 

Total

1921.124

249

 

 

 

C8

Between Groups

8.736

3

2.912

0.399

0.754

Within Groups

1795.860

246

7.300

 

 

Total

1804.596

249

 

 

 

C9

Between Groups

24.557

3

8.186

1.158

0.327

Within Groups

1739.479

246

7.071

 

 

Total

1764.036

249

 

 

 

C10

Between Groups

12.976

3

4.325

0.560

0.642

Within Groups

1898.500

246

7.717

 

 

Total

1911.476

249

 

 

 

 

It is obvious from the above analysis that freshers are more attracted towards rewards and recognition and they are more conscious about scope for career growth. Whereas comparatively experiences teachers expect higher salary and Leave plans. They are more satisfied if job security is provided to them. The above Table shows variables with teaching experience p value at 0.05 level of significant shows that all the obtained values are greater than 0.05 hence there is no significant difference between these variables and teaching experiences, as far as mean values are compared, teacher having experience between 15-25 expect more salary leave pay, job security, interactive & well behaved students where as “Rewards & Recognition” and “Scope for career growth” are were preferred by teachers having experiences of 2-5 years. These variables (Rewards & Recognition, Scope for career growth) play an important role to make a person satisfied. As these variables also create healthy family relationship, social recognition and recreational work for making a teacher to be satisfied with their job.

 

 

CONCLUSION

            Faculty of Public Sector University perceives that educational qualification was concerned; all groups were similar in their attitude indicating thereby that there was no difference of these variables on the basis of qualification. As far as mean values are compared with different level of qualification of teachers, higher qualified teachers prefer more job security, promotions, scope for career growth, leave plans. Higher qualified teacher’s expectations are sky-scraping. There exists job satisfaction and self esteem. The employees are committed towards their duties and sufficient promotional opportunities are provided to deserving employees. Public university also provides maximum facilities to conduct research work as well as to perform other activities concerned with academics.

 

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WEBSITES                   

ficci.com/sector/11/project_docs/ficci_sector_profile_education.pdf

hrcouncil.ca/hr_toolkit/compensation.cfm

http//en.wikipedia.org/wiki/education_in_punjab_india

http://ebookbrowse.net/na/naresh=malhotra-a-marketing-research.

link.springer.com/article/10.1007/510869-009-9139-page1.

www.dpipunjab.org.

www.emeraldinsight.com

www.gndu.ac.in