A STUDY ON PERFORMANCE MANAGEMENT SYSTEM WITH REFERENCE TO HINDUSTAN AERONAUTICS LIMITED BALANAGAR, HYDERABAD Submitted for the partial fulfillment of MASTER IN BUSINESS ADMINSTRATION Submitted by D. NARASIMHA RAO Roll No: 08032E0023 Under the Esteemed Guidance of Mr. T. PRABU KUMAR Associate Professor, SMS, JNTUH SCHOOL OF MANAGEMENT STUDIES 1
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A STUDY ON
PERFORMANCE MANAGEMENT SYSTEM
WITH REFERENCE TO
HINDUSTAN AERONAUTICS LIMITED
BALANAGAR, HYDERABAD
Submitted for the partial fulfillment of
MASTER IN BUSINESS ADMINSTRATION
Submitted by
D. NARASIMHA RAO
Roll No: 08032E0023
Under the Esteemed Guidance of
Mr. T. PRABU KUMAR
Associate Professor, SMS, JNTUH
SCHOOL OF MANAGEMENT STUDIES
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERISTY
HYDERABAD
KUKATPALLY, HYDERABAD-500 085.
1
DECLARATION
I, D. NARASIMHA RAO, pursuing M.B.A (PTPG) VI Semester at School of
Management Studies, Jawaharlal Nehru Technological University Hyderabad,
Kukatpally, Hyderabad hereby declare that the project report titled “A STUDY ON
PERFORMANCE MANAGEMENT SYSTEM WITH REFERENCE TO
HINDUSTAN AERONAUTICS LIMITED” submitted by me in partial fulfillment
for award of Master of Business Administration is an original work.
Place: Hyderabad D. NARASIMHA RAO
Date: …………….. Roll No: 08032E0023
JNTUH
School of Management Studies
Kukatpally, Hyderabad
2
SCHOOL OF MANAGEMENT STUDIES
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
CERTIFICATE
This is to certify that D. NARASIMHA RAO, Roll No. 08032E0023 is a student of
SMS, JNTUH and the report titled “A STUDY ON PERFORMANCE
MANAGEMENT SYSTEM WITH REFERENCE TO HINDUSTAN
AERONAUTICS LIMITED” done by him is an original work and is not submitted
to any other university other than JNTUH.
Place: Hyderabad D. NARASIMHA RAO
Date:…………….. Roll No: 08032E0023
JNTUH
School of Management Studies
Kukatpally, Hyderabad
3
CERTIFICATE
This is to certify that this is the bonafide project work entitled “A STUDY ON
PERFORMANCE MANAGEMENT SYSTEM WITH REFERENCE TO
HINDUSTAN AERONAUTICS LIMITED” carried out by Mr. D. NARASIMHA
RAO, Roll No.08032E0023 for the academic year 2008-2011 as a partial fulfillment
of M.B.A. degree submitted to School of Management Studies, Jawaharlal Nehru
Technological university,
Place: Hyderabad DR. A. R. ARYASRI
Date: …………… Director, SMS JNTUH
4
CERTIFICATE
This is to certify that Mr. D. NARASIMHA RAO, Roll No.08032E0023 is a part-
time student of S M S, JNTUH and the report submitted by him entitled “A STUDY
ON PERFORMANCE MANAGEMENT SYSTEM AT HINDUSTAN
AERONAUTICS LTD.” is his original work and is not submitted to any other
university other than J N T U. This project has been carried out under my guidance.
Place: Hyderabad Mr. T. PRABU KUMAR
Date: …………… Associate Professor- JNTUH
School of Management Studies
Kukatpally, Hyderabad
5
ACKNOWLEDGEMENT
I owe a great many thanks to a great many people who helped and supported me
during the Project.
My deepest thanks to Mr. T. PRABU KUMAR, the Guide of the Project for
guiding and correcting various documents of mine with attention and care. She has
taken her valuable time to go through the project and made necessary corrections as
and when needed.
I express my sincere thanks to Mr. N.N. SANJAY Sr. Manager (HR) HAL for their
excellent guidance in this Project.
I express my thanks to Dr. ARYASRI the Director of JNTUH- School of
Management
Studies, for extending their support. My deep sense of gratitude to my Friends for
their
support and guidance. Thanks and appreciation to the helpful people who involved
directly and indirectly and provided their support. And I would also thank my
Institution and my faculty members without whom this project would have been a
distant reality. I also extend my heartfelt thanks to my family and well wishers.
Place: Hyderabad D. NARASIMHA RAO
Roll No: 08032E0023
JNTUH
School of Management Studies
Kukatpally, Hyderabad
6
INDEX
CHAPTER-I Page No
Introduction:
Need for the study
Objectives of the study
Scope of the study 1 to 18
Research Methodology
Limitations of the study
CHAPTER-II
Review of literature 19 to 40
CHAPTER-III
Profile of Industry 41 to 46
CHAPTER-IV
Profile of the Organization 47 to 71
CHAPTER-V
Data analysis and interpretation 72 to 111
CHAPTER-VI
Findings
Suggestions & 112 to 116
Conclusion
Bibliography 117 to 125
Appendix - I
7
CHAPTER – I
INTRODUCTION
8
1.1 INTRODUCTION
Human Resource Management
Human resource (or personnel) management is defined as getting things done
through people. It's an essential part of every manager's responsibilities, but many
organizations find it advantageous to establish a specialist division to provide an
expert service dedicated to ensuring that the human resource function is performed
efficiently.
"People are our most valuable asset" is a cliché which no member of any
senior management team would disagree with. Yet, the reality for many organizations
is that their people remain
under valued
under trained
under utilized
poorly motivated, and consequently
perform well below their true capability
The rate of change facing organizations has never been greater and
organizations must absorb and manage change at a much faster rate than in the past.
In order to implement a successful business strategy to face this challenge,
organizations, large or small, must ensure that they have the right people capable of
delivering the strategy.
The market place for talented, skilled people is competitive and expensive.
Taking on new staff can be disruptive to existing employees. Also, it takes time to
develop 'cultural awareness', product/ process/ organization knowledge and
experience for new staff members.
As organizations vary in size, aims, functions, complexity, construction, the
physical nature of their product, and appeal as employers, so do the contributions of
human resource management. But, in most the ultimate aim of the function is to:
"ensure that at all times the business is correctly staffed by the right number of people
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with the skills relevant to the business needs", that is, neither overstaffed nor
understaffed in total or in respect of any one discipline or work grade.
Performance Management System
The PM approach is used most often in the workplace but applies wherever
people interact—schools, churches, community meetings, sports teams, health setting,
governmental agencies, and even political settings. PM principles are needed
wherever in the world people interact with their environments to produce desired
effects. Cultures are different but the laws of behavior are the same worldwide.
Armstrong and baron (1998) defined it as “A strategic and integrated approach to
increasing the effectiveness of organizations by improving the performance of the
people who work in them and by developing the capabilities of teams and individual
contributors”
It is possible to get all employees to reconcile personal goals with
organizational goals. One can turn around any marginal business and increase
productivity and profitability for any organization, with the transparent and hidden
forces embedded in this process. It can be applied by organizations or a single
department or section inside an organization; as well as an individual person.
The process is a natural, self-inspired performance process and is
appropriately named the self-propelled performance process (SPPP).
It is claimed that the self-propelled performance management system is:
1. The fastest known method for career promotion;
2. The quickest way for career advancement;
3. The surest way for career progress;
4. The best ingredient in career path planning;
5. The only true and lasting virtue for career success;
6. The most neglected part in teachings about management and leadership
principles;
7. The most complete and sophisticated application of performance management;
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8. The best integration of human behaviour research findings, with the latest
management, leadership and organizational development principles;
9. The best automated method for organizational change, development, growth,
performance and profit;
10. The surest and fastest way for increased motivation, productivity, growth,
performance and profitability for both the individual and the organization;
11. The best career builder and career booster for any career; and
12. Inspirational, as it gets people moving, makes them self-starters in utilizing
own talents and initiative, automatically like magic.
Performance Appraisal System in HAL
The Performance Appraisal System of Officers in Grade – I to X has been
categorized into 5 levels. They are:
Level Grades
Level – I I & II
Level – II III & IV
Level – III V & VI
Level – IV VII & VIII
Level – V IX & X
Salient features of the Performance Appraisal system are:
Two tier system (Initiating Authority & Reviewing Authority)
Quarterly task setting and evaluation on a quarterly basis.
Traits based on the responsibilities associated with each level.
respondents strongly agree, 9.9% i.e., 10 respondents disagree that they clearly
prescribe standards of behaviour to be followed in their work unit.
And only 0.99% i.e., 1 respondent says he / she strongly disagree that he/she
clearly prescribes standards of behaviour to be followed in work unit.
89.11% of the Officers are agreeing that they clearly prescribe standards of
behaviour to be followed in their work unit.
62
23%
66%
10% 1%
Strongly Agree
Agree
Disagree
Strongly Disagree
63
Crosstabs
Designation * 4.Scale of gradation
H0: There is no significance difference between designation and their opinions on scale of gradation is followed in HAL for PAR
Crosstab4.Scale of gradation Total
Highly Satisfied Satisfied Dissatisf
ied
Highly Dissatisf
ied
Designation
EngineerCount 0 23 2 1 26% within Designation
0.0% 88.5% 7.7% 3.8% 100.0%
ManagerCount 1 32 8 0 41% within Designation
2.4% 78.0% 19.5% 0.0% 100.0%
OfficerCount 0 34 4 2 40% within Designation
0.0% 85.0% 10.0% 5.0% 100.0%
TotalCount 1 89 14 3 107% within Designation
0.9% 83.2% 13.1% 2.8% 100.0%
Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 5.944a 6 .429Likelihood Ratio 7.217 6 .301N of Valid Cases 107
a. 7 cells (58.3%) have expected count less than 5. The minimum expected count is .24.
From the above table chi square is not significant (sig. value is greater than 0.05), no need to reject null hypothesis. It means that there is no significance difference between designation and their opinions on scale of gradation is followed in HAL for PAR
64
Designation * 7.System of PAR
H0: There is no significance difference between designation and their opinions on the present system of PAR is too-time consuming
Crosstab7.System of PAR Total
Strongly Agree
Agree Disagree Strongly Disagree
Designation
EngineerCount 3 14 7 2 26% within Designation
11.5% 53.8% 26.9% 7.7% 100.0%
ManagerCount 4 31 6 0 41% within Designation
9.8% 75.6% 14.6% 0.0% 100.0%
OfficerCount 0 29 11 0 40% within Designation
0.0% 72.5% 27.5% 0.0% 100.0%
TotalCount 7 74 24 2 107% within Designation
6.5% 69.2% 22.4% 1.9% 100.0%
Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 13.483a 6 .036Likelihood Ratio 15.434 6 .017N of Valid Cases 107
a. 6 cells (50.0%) have expected count less than 5. The minimum expected count is .49.
From the above table chi square is significant (sig. value is less than 0.05), reject null hypothesis. It means that there is a significance difference between designation and their opinions on the present system of PAR is too-time consuming
65
Designation * 8.Ratings
H0: There is no significance difference between designation and their opinions on ratings based on subjective judgment
Crosstab8.Ratings Total
Strongly Agree
Agree Disagree Strongly Disagree
Designation
EngineerCount 4 21 1 0 26% within Designation
15.4% 80.8% 3.8% 0.0% 100.0%
ManagerCount 3 36 1 1 41% within Designation
7.3% 87.8% 2.4% 2.4% 100.0%
OfficerCount 2 36 2 0 40% within Designation
5.0% 90.0% 5.0% 0.0% 100.0%
TotalCount 9 93 4 1 107% within Designation
8.4% 86.9% 3.7% 0.9% 100.0%
Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 4.241a 6 .644Likelihood Ratio 4.361 6 .628N of Valid Cases 107
a. 9 cells (75.0%) have expected count less than 5. The minimum expected count is .24.
From the above table chi square is not significant (sig. value is greater than 0.05), no need to reject null hypothesis. It means that there is no significance difference between designation and their opinions on ratings based on subjective judgment
66
Designation * 12.Quarterly task setting
H0: There is no significance difference between designation and their opinions on quarterly task setting and evaluation are done as per schedule
Crosstab12.Quarterly task setting Total
Strongly Agree
Agree Disagree Strongly Disagree
Designation
EngineerCount 3 14 9 0 26% within Designation
11.5% 53.8% 34.6% 0.0% 100.0%
ManagerCount 2 16 21 2 41% within Designation
4.9% 39.0% 51.2% 4.9% 100.0%
OfficerCount 3 30 6 1 40% within Designation
7.5% 75.0% 15.0% 2.5% 100.0%
TotalCount 8 60 36 3 107% within Designation
7.5% 56.1% 33.6% 2.8% 100.0%
Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 14.923a 6 .021Likelihood Ratio 16.082 6 .013N of Valid Cases 107
a. 6 cells (50.0%) have expected count less than 5. The minimum expected count is .73.
From the above table chi square is significant (sig. value is less than 0.05), reject null hypothesis. It means that there is a significance difference between designation and their opinions on quarterly task setting and evaluation are done as per schedule
67
Designation * 15.IA Appraises
H0: There is no significance difference between designation and their opinions on IA appraises performance evaluating quarterly task sheets and PAR
Crosstab
15.IA Appraises Total
Strongly Agree
Agree Disagree
Strongly Disagre
e
Designation
EngineerCount 0 22 3 1 26
% within Designation
0.0% 84.6% 11.5% 3.8% 100.0%
ManagerCount 3 27 8 3 41% within Designation
7.3% 65.9% 19.5% 7.3% 100.0%
OfficerCount 2 32 2 4 40% within Designation
5.0% 80.0% 5.0% 10.0% 100.0%
TotalCount 5 81 13 8 107
% within Designation
4.7% 75.7% 12.1% 7.5% 100.0%
Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 7.054a 6 .316Likelihood Ratio 8.456 6 .207N of Valid Cases 107
a. 9 cells (75.0%) have expected count less than 5. The minimum expected count is 1.21.
From the above table chi square is not significant (sig. value is greater than 0.05), no need to reject null hypothesis. It means that there is no significance difference between designation and their opinions on IA appraises performance evaluating quarterly task sheets and PAR
68
Designation * 18.Relation with subordinate
H0: There is no significance difference between designation and their opinions on relation with subordinate
Crosstab
18.Relation with subordinate Total
Excellent
Very Good
Good Average
Designation
EngineerCount 5 10 11 0 26
% within Designation
19.2% 38.5% 42.3% 0.0% 100.0%
ManagerCount 5 27 9 0 41% within Designation
12.2% 65.9% 22.0% 0.0% 100.0%
OfficerCount 4 22 13 1 40% within Designation
10.0% 55.0% 32.5% 2.5% 100.0%
TotalCount 14 59 33 1 107
% within Designation
13.1% 55.1% 30.8% 0.9% 100.0%
Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 7.101a 6 .312Likelihood Ratio 7.433 6 .283N of Valid Cases 107
a. 4 cells (33.3%) have expected count less than 5. The minimum expected count is .24.
From the above table chi square is not significant (sig. value is greater than 0.05), no need to reject null hypothesis. It means that there is no significance difference between designation and their opinions on relation with subordinate
69
Designation * 19.Boss encourages
H0: There is no significance difference between designation and their opinions on boss encouragement
Crosstab
19.Boss encouragement Total
Strongly Agree
Agree Disagree Strongly Disagree
Designation
EngineerCount 6 18 1 1 26% within Designation
23.1% 69.2% 3.8% 3.8% 100.0%
ManagerCount 6 26 8 1 41% within Designation
14.6% 63.4% 19.5% 2.4% 100.0%
OfficerCount 3 35 2 0 40% within Designation
7.5% 87.5% 5.0% 0.0% 100.0%
TotalCount 15 79 11 2 107% within Designation
14.0% 73.8% 10.3% 1.9% 100.0%
Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 11.328a 6 .079Likelihood Ratio 11.787 6 .067N of Valid Cases 107
a. 7 cells (58.3%) have expected count less than 5. The minimum expected count is .49.
From the above table chi square is not significant (sig. value is greater than 0.05), no need to reject null hypothesis. It means that there is no significance difference between designation and their opinions on boss encouragement
70
Designation * 22.Instructions to subordinate
H0: There is no significance difference between designation and their opinions on give clear instructions to subordinate
Crosstab22.Instructions to subordinate Total
Strongly Agree
Agree Disagree Strongly Disagree
Designation
EngineerCount 5 20 0 1 26% within Designation
19.2% 76.9% 0.0% 3.8% 100.0%
ManagerCount 19 20 2 0 41% within Designation
46.3% 48.8% 4.9% 0.0% 100.0%
OfficerCount 17 23 0 0 40% within Designation
42.5% 57.5% 0.0% 0.0% 100.0%
TotalCount 41 63 2 1 107% within Designation
38.3% 58.9% 1.9% 0.9% 100.0%
Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 11.839a 6 .066Likelihood Ratio 12.597 6 .050N of Valid Cases 107
a. 6 cells (50.0%) have expected count less than 5. The minimum expected count is .24.
From the above table chi square is not significant (sig. value is greater than 0.05), no need to reject null hypothesis. It means that there is no significance difference between designation and their opinions on give clear instructions to subordinate
71
Regression
Model Summary
Model R R Square Adjusted R Square
Std. Error of the Estimate
1 .398a .158 .134 .633
a. Predictors: (Constant), 21.Behaviour in work unit, 12.Quarterly task setting, 18.Relation with subordinate
ANOVAa
Model Sum of Squares
df Mean Square F Sig.
1
Regression 7.739 3 2.580 6.444 .000b
Residual 41.233 103 .400
Total 48.972 106
a. Dependent Variable: 3.Evaluation of officersb. Predictors: (Constant), 21.Behaviour in work unit, 12.Quarterly task setting, 18.Relation with subordinate
Coefficientsa
Model Unstandardized Coefficients
Standardized Coefficients
t Sig.
B Std. Error Beta
1
(Constant) 1.558 .308 5.066 .000
12.Quarterly task setting
.283 .096 .272 2.935 .004
18.Relation with subordinate
.241 .095 .235 2.525 .013
21Standards followed in work unit
.047 .104 .043 .457 .649
a. Dependent Variable: 3.EvaluatSion of officers
The required regression line is Evaluation of officers performance =1.558+0.283(Quarterly task setting) + 0.241(Relation with subordinate) + 0.047(Standards followed in work unit)
72
CHAPTER – VI
DISCUSSIONS & CONCLUSIONS
DISCUSSIONS:
It is observed that most of the Officers are satisfied with the system of PARs
which is followed in HAL.
Most of the Officers agree that the system of evaluation of Officers’
performance on quarterly basis is good.
The scale of gradation followed in HAL is satisfied by most of the Officers.
So, it requires no changes.
Defining improvement task for each quarter may be very difficult. Further the
marks assigned to improvement task can be reduced.
Officers are satisfied to receive the feed back by their boss.
The Officers are equally agreed and disagree that the present PAR system is
too time consuming, this is a contradictory situation.
Most of the Officers are agreeing with the fact that the ratings are some times
based on subjective judgement.
60% of the Officers are disagreeing with the statement that the training is
given subsequently as recommended in PAR.
It is observed that more than 80% of the officers agree that the present PAR
system should be replaced with online PAR system.
More than 50% Officers agreed that the Quarterly task setting & evaluation
are done as per schedule.
73
Most of the Officers are agreeing that the subordinates are rated based upon
his/her performance on the other hand Officers said that the ratings are based
on subjective judgement. These two sentences are contradictory.
Self-appraisal is taken into consideration while performance is appraised.
Most of the Officers said that their IA appraises their performance while
evaluating the quarterly task & PAR.
95% of the officers are having very good relations with their boss and 100% of
the Officers are having very good relations with their subordinates.
Almost all the Officers are fully aware of PAR system followed in HAL.
Most of the Officers said that their boss encourages them to approach him
frequently for advice and help.
Most of the Officers said that they help their subordinates to become aware of
some of their own strengths.
Most of the officers said that they give clear instruction to their subordinates
that what should and what should not be done.
More than 50% agree that they do not hesitate to criticize their subordinates
for their bad performance even if they feel offended and do not accept their
feed back.
It is found that the Officers are learning new things and they are improving
their skills in their present discipline.
Bosses are concerned about their subordinates and are communicating
feedback to their subordinates on their performance.
74
Most of the Officers said that re-introduction of IMS scheme motivated them
to excel in their work area.
It is observed that the policy of conducting written test, service eligibility for
next grade and deferring of promotion on bases of LWP require no change.
Most of the Officers agree that there should be job rotation on promotion.
It is observed that the procedure followed for the promotion of Officers is not
satisfactory one of the reasons could be delay in processing of promotions.
The present PAR system can be replaced with 360 degrees PAR system as the
360 degree system gives the correct picture above the Officer and PAR system
should be made Online.
Feed back should be given to the Officers on their performance whether it is
good or bad so that they can improve themselves.
The marks assigned for the improvement task can be reduced.
Steps should be taken to ensure that the training recommended in PAR is
given to the officers and more training programmes are organized.
It should be ensured that the Promotion processes are carried out as per
schedule so that Promotion Orders are issued in time.
The Question Banks which were used for various disciplines in the online
written test should be revised and made more relevant to the disciplines.
75
After taking a hard look at the performance management system at Hindustan
Aeronautics Ltd, what I have experienced is that the working conditions are very
good. There is good friendly relation prevailing between the employees. Even the
subordinates respect the top management.
But what I have noticed is that there is a lack of job satisfaction among the
employees.
I would like to give few suggestions, through which, I guess the organization
can improve its standard.
1. The management should give its employees more challenging work.
2. The organization can conduct the appraisal of their employee’s performance
twice in a year instead of doing it once in a year.
3. The management should give regular feedback of the employee’s
performance. So that the employees can have the idea of how they are
performing.
4. The organization can go for 360 degrees appraisal method, which I think will
be the most effective than the method they are using at the moment.
CONCLUSION
76
The study is done to know the satisfaction level of employee’s performance on
their present job. Performance appraisal is the evaluation of employee’s performance
at his present job and also process by which the employee’s strengths and weakness
are identified to improve the performance on the present jobs.
The basic purpose of performance appraisal is to know how well the employee
is performing on the job, and to establish a plan for their improvement. To find out
this, I have made a detailed study at Hindustan Aeronautics limited, Balanagar where
the performance appraisal system is easy to understand.
In the organization the top management provides awards and rewards to the
part of performance appraisal system in sales department. The employees who are
reached their highest target regarding sales, those persons will get awards and
rewards.
In Hindustan Aeronautics Limited, Balanagar the frequency of the system can
also be increased, where the confidentiality must be strictly maintained, and rating
should be made without any bias-recognition at par with the employee’s performance
can be made and the participation of the top management can make the performance
appraisal system more effective. This performance appraisal gives a clear idea about
good relation between top management and employees.
Thus the appraisal system in Hindustan Aeronautics Limited, Balanagar
maintained very effectively. The outcomes also has given efficiently.
However the above study has been successfully understanding and
highlighting performance appraisal system in the organization.
77
BIBLIOGRAPHY
78
1. P. Subba Rao, “Essentials of Human Resource Management And Industrial