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An International Double-Blind, Peer Reviewed, Refereed Open Access Journal - Included in the International Indexing Directories Page 24 SOFT SKILL TRAINING PROVIDED BY COLLEGES WITH REFERENCE TO BANGALORE CITY

Dr P.Sudarkodi

Associate Professor,

Koshys Institute of Management Studies, Bangalore

Dr Kethan Manyam

Assistant Professor,

Koshys Institute of Management Studies, Bangalore

ABSTRACT

In today’s job market Employability is based on both technical and soft skill. Soft skill which includes a

number of skills pertaining to communication, motivation, Time management, empathy, problem

solving, decision making, leadership, team building are consider as very important by the corporate

today. Although realising the importance of soft skill most of the students in Bangalore have not been

able to equip themselves adequately with such skills. So, the study is an attempt to analysis the soft

skill requirement of corporate and soft skill training provided by B-Schools in Bangalore.

KEYWORDS

Soft skill, team building, leadership, empathy, motivation

INTRODUCTION

Competences can be viewed as a group of inherited and learned personal distinctive, knowledge, skills

and approaches leading to elevated quality Performance. Successful participation in work is

underpinned by deposits of non-technical skills and knowledge. Non-technical skills which are also

called soft skill are non-job specific and closely connected with personal attributes.Education in India

is witnessed huge growth during the past decades. The abrupt expansion has led to the problem of

maintenance of Quality.

OBJECTIVES OF THE STUDY

To find out the major soft skills components that can be improved after the exposure to soft skills

training

To understand the existing practice followed by Colleges with respect to soft skill training.

To find out the major soft skills components expected by the Corporate

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An International Double-Blind, Peer Reviewed, Refereed Open Access Journal - Included in the International Indexing Directories Page 25 Hypothesis

H1: There is no significant relation between Experience and Risk taking skill

RESEARCH METHOD

The current study is based on survey method.

The method was adopted to have better understanding of the soft skill Trainers regarding expectation

of Corporate. It is a descriptive study which seeks to specific Soft skill inculcated in the B-Schools in

Bangalore.

Data was collected from primary and secondary sources. Questionnaire was used to collect the

Primary Data. The secondary Data was collected through journals, periodicals, newspapers and books.

The data is from the period 2019-20.Convenience sampling was used to collect data from 22trainers

from different colleges in Bangalore

DATA ANALYSIS AND RESULT INTERPRETATION

SPSS software (version 25) was used to feed the scores provided by the respondents.

Profile of Respondent

Table 1 tries to capture the respondents sketch in term of gender, Age and Year of experience

Table-1: Demographic Details of Respondent

Demographic Variables Frequency Percentage

Designation

Soft skill Trainer 9 41

Expert Guide 3 14

Academic Faculty 10 45

Educational Qualification

Diploma 2 9

UG 2 9

PG 15 68

PhD 3 14

Year of Experience

0-5 7 32

5-10 11 50

Above 10 4 18

Source: Primary Data

The respondents comprised of415 Soft skill Trainers, 14% Expert Guide and 45 % Academic Faculty

with Education Qualification Diploma 9%,Ug 9%,Pg 68% and Doctorates 14%.The respondents have

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An International Double-Blind, Peer Reviewed, Refereed Open Access Journal - Included in the International Indexing Directories Page 26 RELIABILITY STATISTICS

Reliability statistics are made for the data collected from the Employees of SBI. The sampling reliability

is ensured by doing through Cronbach’s Alpha reliability test, for this present study the reliability

analysis score is 0.734 after considering 24 items from the structured questionnaire.

The Chi square value in the Table 2 shows significant relation between Experience and Risk taking skill

at 5 % level. Hence Null Hypothesis H1 is rejected

Table-2: Chi- Square test

Chi square Result

Value df Sig.(2-sided)

Pearson Chi-Square 44.000a 4 0.000

Likelihood Ratio 44.919 4 0.000

Linear-by-Linear Association 21 1 0.000

N of Valid Cases 22

Factor Analysis

Data collected from the respondents towards the Soft skill training practices is subjected to dimension

reduction using factor analysis to explore different factors using SPSS. An inter correlation matrix was

first calculated to explore the possibility of applying factor analysis. The communities of the variables

are shown in the Table 3.

Table-3:Communalities Matrix

Initial Extraction

Spoken 1.000 .984

written 1.000 .946

effectiveness 1.000 .976

Integrity 1.000 .980

Teamwork 1.000 .984

motivation 1.000 .946

work ethics 1.000 .976

critical thinking 1.000 .669

Risk taking 1.000 .980

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An International Double-Blind, Peer Reviewed, Refereed Open Access Journal - Included in the International Indexing Directories Page 27

leadership 1.000 .980

interpersonal 1.000 .984

Questioning skill 1.000 .946

creativity 1.000 .976

Research skill 1.000 .632

Problem solving 1.000 .554

computer skill 1.000 .479

Academicskill 1.000 .656

Quantitiesskill 1.000 .602

Timemanagement 1.000 .696

Conflictmanagement 1.000 .682

Respect Hierarchy 1.000 .847

Manage Digital 1.000 .515

Crossculture management 1.000 .309

Method: Using Principal Component Analysis.

Principal component method (Table 4) was used to find the initial solution. For the confirmation of

the initial solution, Eigen value criteria and the screen plot method were used. This suggest that the

four factors have the Eigen value greater than 1 and the factor pattern is consistent across the sample,

which is easy to understand since the item loaded deeply on a sole factor. The Eigen value for the

head factor is 5.512 and it explains 22.957% of variance. The next factor value is 4.549 and it describes

18.953% of the variance. The value of third factor is 3.502 and it explicates 14.592 % of the variance.

The fourth factor value is 2.143 and it describes 8.929% of the variance. The value of fifth factor is2.063

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An International Double-Blind, Peer Reviewed, Refereed Open Access Journal - Included in the International Indexing Directories Page 28 Table-4: Total Variance Explained

Component

Initial Eigen values Extraction Sums of Squared

Loadings

Rotation Sums of Squared Loadings

Total % of

Variance

Cumulative

% Total

% of Variance

Cumulative

% Total

% of Variance

Cumulative %

1 5.510 22.957 22.957 5.510 22.957 22.957 4.811 20.045 20.045

2 4.549 18.953 41.910 4.549 18.953 41.910 3.542 14.760 34.805

3 3.502 14.592 56.503 3.502 14.592 56.503 3.526 14.690 49.495

4 2.143 8.929 65.431 2.143 8.929 65.431 3.253 13.554 63.049

5 2.063 8.594 74.026 2.063 8.594 74.026 2.111 8.796 71.845

6 1.518 6.326 80.352 1.518 6.326 80.352 2.041 8.506 80.352

7 1.352 5.632 85.984

8 1.048 4.367 90.351

9 .661 2.754 93.105

10 .592 2.467 95.573

11 .382 1.590 97.163

12 .304 1.265 98.428

13 .216 .898 99.327

14 .136 .568 99.894

15 .025 .106 100.000

16

2.623E-16

1.093E-15

100.000

17

2.410E-16

1.004E-15

100.000

18

1.770E-16

7.377E-16

100.000

19

1.065E-16

4.437E-16

100.000

20

8.010E-17

3.337E-16

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An International Double-Blind, Peer Reviewed, Refereed Open Access Journal - Included in the International Indexing Directories Page 29

21

- 1.037E-18

- 4.322E-18

100.000

22

- 4.129E-17

- 1.720E-16

100.000

23

- 6.788E-17

- 2.828E-16

100.000

24

- 4.924E-16

- 2.051E-15

100.000

Extraction Method: Principal Component Analysis.

It is ambiguous in interpreting the factor if in the component matrix some of the items load on two or

more factors. We therefore rotate the initial factor solution to identify a clear factor pattern. The

correlation of each variable with each factor is indicated by the component matrix. For rotation, we

use Varimax method as it is the most common method used to rotate the component matrix. The

Rotated component matrix is presented in the Table 5.

Table-5: Rotated Component Matrixa

Component

1 2 3 4 5 6

Spoken .975 .020 -.104 -.132 .030 .055

written -.100 .012 .333 .882 .131 .171

effectiveness .042 .981 .065 .009 -.026 .085

Integrity -.053 .058 .973 .162 .034 .008

Teamwork .975 .020 -.104 -.132 .030 .055

motivation -.100 .012 .333 .882 .131 .171

work ethics .042 .981 .065 .009 -.026 .085

critical thinking .693 -.062 .184 .308 -.169 -.165

Risk taking -.053 .058 .973 .162 .034 .008

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An International Double-Blind, Peer Reviewed, Refereed Open Access Journal - Included in the International Indexing Directories Page 30

leadership -.053 .058 .973 .162 .034 .008

interpersonal .975 .020 -.104 -.132 .030 .055

Questioning skill -.100 .012 .333 .882 .131 .171

creativity .042 .981 .065 .009 -.026 .085

Research skill -.020 .668 -.013 -.176 .089 -.383

Problem solving -.129 .163 .280 .164 .290 .567

computer skill -.004 -.172 -.166 .170 -.519 -.351

Academicskill .311 .076 .187 .328 .623 -.149

Quantitiesskill .595 .173 .118 .103 .307 -.316

Timemanagement -.005 -.048 .007 -.028 -.017 .832

Conflictmanagement -.107 -.018 .205 -.253 .344 -.668

Respect Hierarchy .035 .245 .039 -.108 -.878 .045

Manage Digital .017 .066 -.142 .436 .537 -.111

Crossculture management -.026 -.188 -.212 .450 -.014 -.161

• Extraction Method: Principal Component Analysis.

• Rotation Method: Varimax with Kaiser Normalization.

MANAGERIAL IMPLICATIONS

The result of factor analysis identifies six factors expected by the corporate among graduates in terms

of soft skills. The six factors are name as Social skill, Explorative skill, Professional skill, Navigational

skill, People Management skill and Decision making skill.

The first factor namely social skill will help the graduates to communicate and interact with each other

and also facilitate in increasing the Quality of life. The second most important factor is Explorative skill

which the corporate trainer always look into as it helps in developing Lateral and critical thinking. The

third factor is Professional skill which is utmost important for the graduates as it aims to develop

leadership and time management skill. The forth factor explored by the current study is Navigational

skill which emphasis on open-mindedness to new task and new challenges.

The fifth factor expected by the corporate is people management skill followed by decision making

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An International Double-Blind, Peer Reviewed, Refereed Open Access Journal - Included in the International Indexing Directories Page 31 CONCLUSION

After hard skills and previous experiences the companies at present consider soft skills as very

important in the candidate’s assessment. Better decisions and challenges can be faced in long run with

effective soft skills .These are especially important skills in the workplace.

The need for teaching and learning soft skills has gained less importance in education which has to be

changed eventually. The challenge lies in communicating the significance and consequence of

educating the whole person through the teaching and learning of soft skills.

It’s time for us to reconsider our precedence in education and recognize that Soft skills are key for

success.

REFERENCES

BOOKS

Developing Soft Skills by Robert M. Sherfield, Rhonda J., Patricia J. Moodi; Cornerstone Publications

Effective Business Communication by Murphy; The McGraw Hill Company, 7th Edition

JOURNALS

Jelphs, K. (2006). Communication: Soft skill, hard impact? Clinician in Management, 14, 33-37

John, J. (2009). Study on the nature of impact of soft skills training program on the soft skills

development of management students. Pacific Business Review, 19-27.

INTERNET RESOURCES

1. Wikipedia: www.en.wikipedia.com

2. www.softskills.com

3. www.softskillsindia.com

Figure

Table 1 tries to capture the respondents sketch in term of gender, Age and Year of experience  Table-1: Demographic Details of Respondent

References

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