hrm ppt updated
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Hrm Ppt UpdatedTRANSCRIPT
Retention Policies in Indian IT Industry
Presented by:Rudrani Angira FPM/07/02Anupriya PGP/17/258Kunal Hande PGP/17/272Mohommed Shajeer PGP/17/277Nabeel Ahmed PGP/17/278Anshul Nagdive PGP/17/279
Agenda
Objective and Research Questions
Literature Review
Methodology
Data Analysis
Results and Discussion
Conclusion and Limitations
Objective of the Study
To study the effect of hygiene factors i.e. factors which are organization specific and are majorly effected by norms , policies, regulations and culture on the employee retention
Research Questions
What are the key variables influencing employee retention in Indian IT companies?
What are the experiences of IT employees about the variables influencing employee retention?
To what extent, experience of employees about above variables convergent with their expectations?
Literature Review
According to Kehr (2004), retention factors of employees can be divided into 3 variables: Power, Achievement and Affiliation.
A study conducted on IT employees concluded that Company policy and administration, relationship with superior, personal life, relationship with subordinates, responsibility and motivation are the influential factors.
Attrition in the Indian IT industry can be tackled using a multi-level approach like Maslow’s Hierarchy of Needs.
Methodology
Variables defined from Literature Survey
Focus group discussion
Online Survey- 31 Questions,143
Responses
• Performance Evaluation System• Relationship with superiors• Work environment• Salary• Relationship with peers• Personal Life• Job satisfaction and Performance
Hygiene Factors
• Age• Gender• Annual Income• Number of dependents Personal Factors
Data Analysis
Binary Logistic Regression: Influence of hygiene factors on likelihood of quitting the organisation
Chi square test: Association between environmental factors and personal factors
Test of Reliability: Cronbach's alpha is an index of reliability
Results Croncbach's alpha for the factors have been found to be greater than 0.7 Significant association between Annual Income and Relationship with
Peers Also, significant association between Annual Income and Personal Life Relationship with Peers has a significant relationship with the likelihood of
quitting the organization Binary Logistic Regression:
Y(Likelihood of quitting)
{ 0 , if no switch= - .126 (Relationship with peers)
1, otherwise} Interpreted :“Relationship With Peers” increases by 1 then the likelihood
of quitting reduces by a factor of .126
Conclusions
Companies should focus more on team cohesiveness
Companies focus more on promoting peer relationship
Limitations
The data set is biased as the maximum respondents - Are from age group 20-25- Have dependents 2 , there is just one respondent who has five
dependents and his response is different from the data pattern in data set .
- Have annual income in bracket of 5-10 lacs
Most of the respondents are either in the exploration stage or in the establishment stage which is a period of career instability
References
1) HRM Practice on the Retention of Employees of Information Technology , 2012 , INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH
2) “Attrition”, HRM Review, the ICFAI university press, March.2008, vol. VIII, Issue III
3)Five Attrition Factors and What You Can Do About Them , National Society of Professional Engineers , 2008
4) ANALYZING CAUSES OF ATTRITION RATE AND GIVING THE SOLUTION THROUGH MASLOW’s HIERARCHY OF NEED IN BPO INDUSTRY , Dept. of Management, Rajiv Gandhi College , Bhopal (M.P),INDIA
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