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Department of Travel and Tourism, Catholicate College, Pathanamthitta (Under Mahatma Gandhi University, Kottayam, Kerala)
In a country like India, where labor force is in abundance, a good performance appraisal system is needed which in turn helps to plan, assess the work done by the employees, analyze and to provide feedback which in turn becomes a great weapon to provide good training and also helps in providing the employees good career opportunities. Not only that, it also helps in improving their recognition in the respective fields and also helps the organization in strengthening their governance. This study focusses on the effectiveness of employee performance appraisal system of manufacturing enterprises in Konni, Pathanamthitta. The data has been collected from the employees working in different manufacturing enterprises in Konni, Kerala.
Performance appraisal is also called as performance review which is the process of evaluating and analyzing an employee’s performance formally and systematically. The main purpose of the appraisal is to provide feedback to the employees about their performance, to identify their strength and weakness, to set the goals for further improvement and to provide a base for decision making related to promotions, raises, and other job-related matters. It is basically structured and is conducted over a specified period of time with a focus on specific job-related competencies, skills and behaviors. The process may include the use of standardized scales for rating, self -assessments and to get feedback from superiors, peers and subordinates.
STATEMENT OF THE PROBLEM
The performance appraisal system plays an important role in the success of the organization for evaluating the performance of an employee and which in turn helps in pointing out the loopholes that would help the various organizations in further improving the way in which they handle the employees by considering them as a complete human by considering their strengths and weaknesses through the proper rating which would help the organization in finding out the best solution for solving their weakness. Thus, for this, the study has been conducted in the Konni, a taluk in Pathanamthitta district by considering the various employees working in different enterprises in Konni, Kerala.
OBJECTIVES
The overall objective is to understand the effectiveness of performance appraisal on the employees.
METHODOLOGY AND SAMPLING DESIGN
The research is done scientifically using a descriptive design. Both the primary as well as the secondary data is used from various published sources of government departments and other from other secondary sources available. The primary data is collected from the employees, using a simple random sampling method. A structured questionnaire is used in the study to collect, assess and to evaluate the data.
TOOLS USED FOR DATA ANALYSIS
The tools used for data analysis of the primary data is Arithmetic Mean, Standard Deviation and for testing the hypothesis, 2-tailed test and correlation is used.
ANALYSIS AND INTERPRETATION
The tools used for analysis of the data is Arithmetic Mean, Standard deviation and for the testing of the hypothesis, 2-tailed test and correlation is used.
Table 1.1 Gender* Marital Status Crosstabulation
|
|
|
|
MARITAL STATUS |
Total |
|
|
SINGLE |
MARRIED |
||||
|
Gender |
MALE |
Count |
14 |
15 |
29 |
|
|
FEMALE |
Count |
3 |
18 |
21 |
|
Total |
|
Count |
17 |
33 |
50 |
From the above table, we can understand that, in the data collected from the sample size of 50, 29 are Males whereas 21 are Females. Amongst the Males, 14 are Single whereas 15 are Married. Amongst the Females, 3 are Single whereas 18 are Married.
EXPLAINATION OF THE MEANING OF THE VARIABLES:
Table 1.2 T Test (Group Statistics)
|
|
GENDER |
N |
Mean |
Std. Deviation |
Two -tailed test |
|
Appraisal process clarity |
MALE FEMALE |
29 21 |
14.1724 14.9524 |
3.93763 3.02450 |
.451 .432 |
|
Recruitment process fairness |
MALE FEMALE |
29 21 |
14.7931 16.0952 |
3.54944 2.70009 |
.165 .147 |
|
Planning work and goal settings |
MALE FEMALE |
29 21 |
14.4828 15.4762 |
3.44985 3.10836 |
.300 .293 |
|
Improving performance employee |
MALE FEMALE
|
29 21 |
13.7931 14.2381 |
3.53936 2.82674 |
.636 .624 |
|
Good governance |
MALE FEMALE |
29 21 |
13.9310 14.5238 |
3.48395 3.29574 |
.547 .543 |
|
Productivity and efficiency |
MALE FEMALE |
29 21 |
14.3448 14.0476 |
3.08540 3.07370 |
.738 .738 |
|
Communication skills |
MALE FEMALE |
29 21 |
13.0690 14.0476 |
2.95116 2.94068 |
.252 .253 |
|
Inter personal skills |
MALE FEMALE |
29 21 |
13.7241 15.3810 |
2.80174 3.26307 |
.048 043 |
|
Punctuality |
MALE FEMALE |
29 21 |
13.6207 14.1429 |
3.80238 3.05427 |
.606 .593 |
The following table describes the gender wise classification of the sample data where we can understand that the Males are 29 in number whereas the Females are 21 in number. For the variables Appraisal Clarity, Recruitment process fairness, Planning work and goal settings, Improving the employee performance, Good governance, Communication skills, Interpersonal skills and Punctuality, the mean scores are the highest for the female employees which are 14.9524,16.0952,15.4762,14.2381,14.5238,14.0476,15.3810 and 14.1429 respectively. Whereas for the variable Productivity and efficiency, the mean score is the highest for the male employees with a value 14.3448.
Table 1.3 T Test (Group Statistics)
|
|
LEVEL |
N |
Mean |
Std. Deviation |
Two- tailed test |
|
|
Appraisal process clarity |
TOP MIDDLE |
12 38 |
14.0000 14.9444 |
3.60555 3.62138 |
.451 .432 |
|
|
|
Recruit ment process fairness |
TOP MIDDLE |
12 38 |
16.3333 14.5556 |
2.30940 3.25797 |
.165 .147 |
|
|
Planning work and goal settings |
TOP MIDDLE |
12 38 |
17.0000 15.7778 |
2.64575 2.64699 |
.300 .293 |
|
|
Improving employee performance |
TOP MIDDLE |
12 38 |
14.0000 14.0556 |
2.64575 3.05772 |
.636 .624 |
|
|
Good governance |
TOP MIDDLE |
12 38 |
12.0000 15.7778 |
3.60555 3.26398 |
.547 .543 |
|
|
Productivity and efficiency |
TOP MIDDLE |
12 38 |
13.6667 15.0000 |
2.08167 3.27198 |
.738 .738 |
|
|
Communication skills |
TOP MIDDLE |
12 38 |
10.3333 14.2778 |
4.50925 3.06413 |
.252 .253 |
|
|
Interpersonal skills |
TOP MIDDLE |
12 38 |
13.0000 15.1667 |
2.00000 2.93558 |
.046 .042 |
|
|
Punctuality |
TOP MIDDLE |
12 38 |
13.0000 14.9444 |
1.73205 3.20794 |
.606 .593 |
The following tale describes the Level wise classification of the sample data where we can understand that the Top -level management consists of 12 employees whereas the Middle level consists of 38 employees. For the variables Appraisal method clarity, improving employee performance, Good governance, Productivity and efficiency, Communication skills, Interpersonal skills, Punctuality, the mean scores are the highest for the Middle level management which are 14.9444,14.0556,15.7778,15.0000, 14.2778,15.1667 and 14.9444 whereas for Recruitment process fairness, Planning work and goal settings, the mean scores are the highest for the Top- level management which are 16.3333 and 17.0000 respectively.
TESTING OF THE HYPOTHESIS
In relation to the above data, the following hypothesis needs to be tested. Following are the hypothesis:
H0: There is no significant relationship between the study variables and the gender.
H1: There is a significant relationship between the study variables and the gender.
For comparing whether there is a significant difference or not, Two- tailed test is conducted and the Level of significance taken is 5% and the table values are compared with this 5%. According to the tables, the variable interpersonal skills is having a value lower than 5% for both the genders as well for both the levels of management, which means that the H0 hypothesis is rejected and the H1 hypothesis is accepted which in other words means that There is a significant relationship between the study variables and the gender.
Table 1.4 Correlation Between Appraisal Method Clarity and Improving Employee Performance
|
|
Improving employee performance |
Appraisal clarity |
|
|
Improving employee performance |
Pearson Correlation Sig. (2-tailed) N |
1
50 |
.308* .029 50 |
|
Appraisal clarity |
Pearson Correlation Sig. (2-tailed) |
.308* .029 |
1 |
|
|
N |
50 |
50 |
*. Correlation is significant at the 0.05 level (2-tailed).
In relation to the collected data, we have to test whether there is any relationship between Appraisal method clarity and Improving the employee performance, the following hypothesis are formed:
H0: There is no relationship between Appraisal method clarity and Improving employee performance.
H1: There is a relationship between Appraisal Method clarity and Improving employee performance.
When the 2-tailed test is conducted, the values are compared with the Level of significance of 5%. If the table value is greater than 5%, then H1 is rejected and H0 is accepted and if the value is less than 5%, then H1 is accepted and H0 is rejected and from the table , we can conclude that the value from the 2-tailed test is 0.029 which means 2.9% which is less than 5% which means that H1 is accepted and H0 is rejected which in other words means that There is a relationship between Appraisal Method clarity and Improving employee performance.
Table 1.5 Correlation Between Recruitment Process Fairness and Improving Employee Performance
|
|
|
Improving employee performance |
Recruitment process fairness |
|
Improving employee performance |
Pearson Correlation Sig. (2-tailed) N |
1
50 |
.276* .053 50 |
|
Recruitment process fairness |
Pearson Correlation Sig. (2-tailed) |
.276* .053 |
1 |
|
|
N |
50 |
50 |
*. Correlation is significant at the 0.05 level (2-tailed).
In relation to the collected data, we have to test whether there is any relationship between Recruitment process fairness and Improving employee performance, the following hypothesis are formed:
H0: There is no significant relationship between Recruitment process fairness and Improving employee performance
H1: There is a significant relationship between Recruitment process fairness and Improving employee performance
When the 2-tailed test is conducted, the values are compared with the Level of significance of 5%. If the table value is greater than 5%, then H1 is rejected and H0 is accepted and if the value is less than 5%, then H1 is accepted and H0 is rejected and from the table, we can conclude that the value from the 2-tailed test is 0.053 which means 5.3% which is greater than 5%. Thus, we can conclude that There is no significant relationship between Recruitment process fairness and Improving employee performance.
FINDINGS OF THE STUDY
SUGGESTIONS
CONCLUSION
The conclusion of the study on The Effectiveness of Employee Performance Appraisal system of Manufacturing enterprises in Konni, Pathanamthitta is that structured, clear and well communicated appraisal system significantly support employee performance improvement, especially when employees understand how their performance is evaluated and what is expected of them. The research found that clear appraisal methods are directly linked to enhancing employee performance, while recruitment process fairness did not show a significant direct effect on performance improvement. Female employees generally scored higher in most appraisal dimensions except productivity and efficiency, where males had a slight lead. Additionally, gender was significantly related to perceptions of interpersonal skills. The study emphasizes the importance of clarity in appraisal methods, structured goal setting, and the development of interpersonal and communication skills for both organizational effectiveness and employee growth.
REFERENCES
Siddhi J. Nair*, Ajith PS, The Effectiveness Of Employee Performance Appraisal System Of Manufacturing Enterprises In Konni, Pathanamthitta, Int. J. Sci. R. Tech., 2026, 3 (5), 191-196. https://doi.org/10.5281/zenodo.20035864
10.5281/zenodo.20035864