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ISSN: 2321-7782 (Online)
Volume 1, Issue 7, December 2013
International Journal of Advance Research in
Computer Science and Management Studies
Research Paper
Available online at: www.ijarcsms.com
An Analysis of Attrition: Retention strategy for
IT/BPO Industry
Vibha Gupta
IIPS
DAVV
Indore - India
Abstract: Attrition word is very dangerous now a day for any organization those are working like BPO’s, because staff
attrition (or turnover) and absenteeism represents significant costs to most organizations. It is odd, therefore, that many
organizations neither measure such costs nor have targets or plans to reduce them. However, it seems to be one of the areas
in which HR can make a difference - and one that can be measured in quantifiable, financial terms against targets.
The study is focused on recruitment and retention challenges that the IT/BPO industry currently faces and to examine ways
to reduce high turnover rates among first year Employees in the leading Domestic Call Center based in Indore. According to
the Department of Human Resources (MSource BPO, Indore), turnover rates for permanent Agents/Executives were 15.6%
in 2009 and 35% in 2012. Department of Human Resources which also tracks attrition of temporary employees measured
the turnover rate for temporary employees to be 77%in 2012. The monetary cost of such high turnover is enormous.
Keyword: Attrition Control, Turnover, Absenteeism.
I. INTRODUCTION
Definitions
1. The unpredictable and uncontrollable, but normal, reduction of work force due to resignations, retirement, sickness, or
death.
2. Loss of a material or resource due to obsolescence or spoilage.
Meaning of Attrition
These days, very often we come across the word `ATTRITION'. This word is being used in place of Employees turnover in
an organization, used earlier. " the wearing down of an adversary, making him weaker by repeatedly attacking them or wearing
down of resources i.e. the process of reducing the number of people who are employed by an organization by not replacing
people who leave the job."
Building on its growth over the last few years, the Indian IT-BPO sector has emerged among the leading employment
providers of the country with nearly 4 million people being directly employed in the IT-BPO industry. Growth has given rise to
predictable challenges of managing people, who owing to the nature of the sector form one of the most critical assets of the IT
delivery chain. It is universally recognized that the sustained availability of skilled manpower at the right cost will be the make-
or-break factor as India attempts to rise up the IT value chain.
The percentage of employees that leave a company in a given period of time due to attrition is sometimes referred to as the
churn rate, though that term can also include personnel who are fired. A high churn rate can adversely affect a company due to
the costs of training new workers, though higher rates are often more acceptable for unskilled laborers than more highly skilled
Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies
Volume 1, Issue 7, December 2013 pg. 434-442
© 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 435 | P a g e
or trained workers. Churn rate is often lower in industries that employ highly skilled workers, and companies often use lucrative
employment contracts and other tactics to prevent some forms of attrition.
There are also circumstances where employee attrition can be used to benefit a company. In some circumstances, it
becomes necessary for a company to cut labor costs to remain profitable. One method of dealing with this type of issue is to to
lay off a number of workers, though this can present morale problems for the remaining employees. If the attrition rate is
known, then simply not hiring new employees can present a long term method of dealing with the same problem. Since some
employees will retire or resign over time through attrition, a hiring freeze can eventually result in fewer employees and a similar
savings in labor costs.
Employee attrition refers to the loss of employees through a number of circumstances, such as resignation and retirement.
The cause of attrition may be either voluntary or involuntary, though employer-initiated events such as layoffs are not typically
included in the definition. Each industry has its own standards for acceptable attrition rates, and these rates can also differ
between skilled and unskilled positions. Due to the expenses associated with training new employees, any type of employee
attrition is typically seen to have a monetary cost. It is also possible for a company to use employee attrition to its benefit in
some circumstances, such as relying on it to control labor costs without issuing mass layoffs.
There are many different ways for a company to lose employees, most of which are typically taken into account to ensure
that the organization is able to operate efficiently. Attrition refers to the loss of employees due to reasons other than firing and
other employer-initiated events. This means that an employer has no direct control over how many personnel are lost to
employee attrition. Retirement is one major cause of employee attrition, and since people tend to retire around a specific age
this is a factor that can be accounted and planned for. Other causes of employee attrition, such as personnel who quit due to
prolonged illness, dissatisfaction with the company, or other reasons, can be more difficult to estimate.
Attrition Rates of FOUR Major Indian IT/BPO Companies
(comparing 1st Quarters of FY 2009 & 2010)
Companies Q1 10 Q1 09
TCS 13.1% 11%
Infosys 15.8% 11.1%
Wipro 15.8% 9.8%
HCL 15.7% 13%
Source: Data published on net by bodies like NASCOM & data from surveys such as KPMG
II. LITERATURE REVIEW
Literature reviews is an account of what has been published in connection with this research. The main purpose is to gain
knowledge and ideas based on the previous establishment and get to know what their strength and weakness are in order to
further enhance and upgrade the integration.
Getzlaf, S. B., et.al. (1984), compared undergraduate students who had dropped out from Washington State University (WSU)
one year prior to the study with a control sample of students who continued at WSU with the help of Tinto's model of
institutional attrition. Tinto's constructs of individual attributes, past educational experience, goal commitment, institutional
commitment, social integration, and academic integration were operationalized using variables obtained from precollege
records, academic records at the university, and a post-withdrawal survey.
Mallette, B. I., & Cabrera, A. F. (1991) also tested Tinto’s model on college persistence. Those have typically classified
nonreturnees as dropouts. Which argues that such a practice merges together different types of withdrawal behavior whose
determinants may vary as a function of the particular departure behavior under consideration. It’s also examines whether the
determinants of decisions to withdraw from the institution are similar to those affecting decisions to transfer to other institutions
of higher education for the 1984 entering freshman class at a large southern institution.
Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies
Volume 1, Issue 7, December 2013 pg. 434-442
© 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 436 | P a g e
Bean, J. P., & Metzner, B. S. (1985), Older, part-time, and commuter students have composed an increasingly larger portion of
college student bodies. The reasons why these students drop out of school are not well understood. The purpose of this paper is
to describe the rise in nontraditional enrollments, define the nontraditional undergraduate student, and develop a conceptual
model of the attrition process for these students. The chief difference between the attrition process of traditional and
nontraditional students is that nontraditional students are more affected by the external environment than by the social
integration variables affecting traditional student attrition.
Sengupta, S., & Gupta, A. (2012), says that Business process outsourcing (BPO) industry in India is progressing with an
unparalleled velocity. Despite the momentous growth and brilliant future, the BPO industry has experienced high attrition rates
since inception. There are many factors that lead to attrition in BPOs and much research has taken place time and again. In this
study, they made a comprehensive attempt to explore the dimensions of attrition by identifying the factors that lead to it,
assessing the contribution of the factors toward attrition, and comparing the dimensions across the various demographic
variables.
Srivastav, A. K. (2010), coded that how organizational climate operates in BPO industry. Six motives of organizational
climate were measured in BPO companies. Expert Influence and Extension were respectively the dominant and backup
climates. Affiliation was the weakest climate. Exploratory factor analysis of climate motives revealed three meta-climates
operating in BPO industry: (1) Brazen Shirking combining heightened Dependency and de-emphasized Affiliation, (2)
Empowered Collaboration representing heightened Extension and de-emphasized Control, (3) Obsession for Expertise
combining heightened Expert Influence and de-emphasized Achievement. 70.30% variance explains these meta-climates that
reflect the realities in BPO industry.
Chandrasekar, K. (2011), says that Human Resource is considered to be the most valuable asset in an Organization. It
continues to play, even in the computer age, when everybody feels that men have a little role to play. It is true that computer, to
some extent, does play a role, but programming and feeding such programme require manual operations. In other words, the
application of manpower has no substitute and therefore, it has a continuous role to play. The main problem against the
manpower development is attrition. The rate of attrition is increasing every day so that production and profit decrease.
Noteworthy is the continuously growing rate of attrition among the IT, ITES and other Software based companies. This has
made the companies to take up research studies based on their employees, especially to identify the factors of attrition. This
research helps to know about the employees' attitude towards the company and the work, also highlighting various other direct
and indirect effects of attrition on production, cost, discipline and efficiency in the industry.
III. OBJECTIVES
The objective of the study includes:
1) To examine the cause of the high attrition rate among officers/agents in the IT/BPO sector.
2) To analyze factors affecting Attrition in IT & BPO sector.
3) To know the major recommendations to management about how to reduce this high attrition rate and prioritizing these
recommendations to maximize monetary and personnel resources.
IV. RESEARCH METHODOLOGY
The research is exploratory research regarding measurement of attrition control system in case of IT and Business Processing
Outsourcing sectors. This study was designed with a mixed methods approach to optimize the understanding of attrition in
“TWO” PHASES:
1. Interviewing the ex-employees (within past one year)
2. Surveying the existing Agents with less than 1 year job duration
Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies
Volume 1, Issue 7, December 2013 pg. 434-442
© 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 437 | P a g e
In order to meet the objectives of the study, primary data is collected using the questionnaire method. The questionnaire
which consisted of two parts: Part – I consisted of the questions related Demographics and awareness about Attrition.
Parts II of the questionnaire consisted of 35 variables which are directly related to factor affecting Attrition. These have
been measured with 5 pointer Likert scale.
The sample size taken for the study constituted of 200 respondents. Convenience sampling technique has been used for data
collection wherein the sample is chosen from the population in random proportion of the various age groups present in the
population.
V. FINDING AND DISCUSSION
The data is collected from 200 respondents. Out of 200 the response rate was 92 %. The incomplete/inappropriate responses
are rejected to get higher precision value in results. After collection of the data, the reliability of the research instrument is tested
by using Cronbach's alpha and factor analysis, are applied using SPSS 20 version in order to achieve the objectives of the study.
VI. RELIABILITY TEST
The observed value shows that the value of Cronbach's alpha is 0.885 for 35 items taken in the present study. As this value
is more than 0.70 hence it is interpreted that the research instrument is reliable to undergo further data analysis.
Reliability Statistics
Cronbach's Alpha Cronbach's Alpha Based on Standardized Items N of Items
.885 .886 35
Table 1Tabular representation of the Demography of the Sample for First Phase
Term of service
Age Sex Education Marital Status
20-30 30- 40 40 + M F 12th
Graduate PG S M
Left during Training 57 44 7 42 66 59 49 0 51 57
Left Within 6 months 36 23 5 28 36 35 27 2 34 30
Left Within 6 – 12
months
19 7 2 12 16 10 15 3 4 24
Left after 1 year of
service
0 8 2 4 6 0 10 0 9 1
Total 112 82 16 86 124 104 101 5 98 112
Table: 2 Reasons for leaving the job as specified in the Telephonic interviews with the Former Employees in 1st
Phase
Causes for leaving the job as stated in the telephonic interview Percentage
Better remuneration packages on offer at other firms 45%
Career prospects (promotion track) looks more promising elsewhere 24%
Dissatisfaction with quality of work environment 17%
Night shifts, weekend work, Rotational shift leading to dissatisfaction with work/ life balance
at current employer
39%
Remuneration and promotion policies deemed to be in-transparent or unjust 26%
Further / Higher Studies 13%
Family/Personal reasons 9%
Inadequate/Improper staff training at current employer 32%
Employee feels let-down by current employer 28%
Difference in job related expectation & experience 7%
Others 2%
Table: 3Tabular representation of the Demography of the Sample for Second Phase
Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies
Volume 1, Issue 7, December 2013 pg. 434-442
© 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 438 | P a g e
Term of service
Age Sex Education
Marital
Status
20-30 30- 40 40 + M F 12th
Graduate PG S M
Employees in
Training
55 45 6 40 64 57 53 0 47 52
Employees in
Probation
34 26 6 26 38 33 29 1 31 29
Permanent
Employees less
than 1 year in the
service
18 8 2 14 18 11 13 3 14 27
Total 107 79 14 80
12
0
101 95 4 92 108
Table: 4
Initially, personal interviews with the selected candidates were conducted to understand their feelings, problems &
experiences with the job. Based on the feedback from the above personal interview, a small “4 POINTS“- Questionnaire
was set, which included the most important factors identified.
The following most important factors were identified during the qualitative findings in the personal interview and we
operationalized each factors by 5-point Likert scale (where, 1 = strongly disagree, and 5 = strongly agree), in the
Questionnaire:
A. Better Remuneration & Career Prospects
B. Perceptions of training & resources
C. Shift Timings & Week-offs
D. Organizational culture.
The quantitative model tested in this study was developed from findings in the literature and factors derived from the
qualitative findings. A Questionnaire was self designed and structured containing two sections.
The Data gathered from the Questionnaire was then entered into MS Excel and SPSS version 20. Factor Analysis was
conducted to understand the importance of Individual factors. Each Factor was assigned a weightage and the final score
(ratings) was converted into Percentage.
 Factor A - Better Remuneration & Career Prospects, was assigned 20% weightage.
 Factor B - Perceptions of training & resources was assigned 20% weightage.
 Factor C - Shift Timings & Week-offs was also assigned 20% weightage.
 Factor D - Organizational culture was assigned the remaining 40% weightage.
 Factor A - Better Remuneration & Career Prospects
It was seen that 35% employees strongly disagree & 34% employees disagree that – “Remuneration & Career
Prospects provided by my Organization is as per the industry standards”. 18% employees were neutral on this point. Better
Remuneration & Career Prospects was one of the most important concerns as voiced by the ex-employees & present
employees in the Interviews. It clearly shows that HR should restructure the Remuneration & Career Prospect policies.
Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies
Volume 1, Issue 7, December 2013 pg. 434-442
© 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 439 | P a g e
FACTOR A - Better Remuneration & Career Prospects
(Number of Employees along with percentage, tabulated on the Likert Scale Ratings)
SA A N D SD
3 17 37 69 71
2% 9% 18% 34% 35%
Table: 5
 Factor B – Perceptions of Training & Resources:
It was noted that 17% employees strongly disagree & 30% employees disagree that – “I received appropriate training on
joining the department to enable me to do my job. I am provided with all the resources needed to be successful in my job”.
15% employees were neutral on this point. Dissatisfaction with the training program was one of the common problems as
discussed in the Interviews; therefore, HR should also plan on redesigning the Training program.
FACTOR B - Perceptions of training & resources
(Number of Employees along with percentage, tabulated on the Likert Scale Ratings)
SA A N D SD
29 44 30 61 33
15% 21% 15% 30% 17%
Table: 6
Factor C – Shift Timings & Week-offs
It was noted that only 9% employees strongly disagree & 18% employees disagree that – “I have adjusted with my rotating
shift timings & week-offs, and understand that this is as per the demand of the industry”. 15% employees were neutral on
this point. Though it takes toll on the health front & also disturbs the daily routine/life style of an individual, however,
adjusting to the rotating shift timings & changing weekly-offs is a pre-requisite to the IT/BPO industry. It is not only
informed/explained before joining, but this is a well known fact & one of the reasons of such high packages offered in this
sector. Thus, much cannot be expected on this from HR, however, a better & bit-flexible schedule may be considered/drafted.
FACTOR C - Shift Timings & Week-offs
(Number of Employees along with percentage, tabulated on the Likert Scale Ratings)
SA A N D SD
67 47 30 35 18
33% 23% 15% 18% 9%
Table: 7
 Factor D – Organization Culture
Sub Factor 1 - Growth Opportunities: It was noted that 49% employees strongly disagree & 31% employees disagree
that – “My Organization promotes my professional growth and development”. 11% employees were neutral on this point.
On the other hand 32% employees strongly disagree & 35% employees disagree that “I am able to use my real talents at
work on a daily basis”. 23% employees were neutral on this point. Also, 13% employees strongly disagree & 26%
employees disagree that – “I am working at my full potential”. 35% employees were neutral on this point.
The above figure highlights that most of the employees are unsatisfied with the Growth Opportunities provided by the
Organization.
FACTOR D - Organizational culture
Sub-Factor 1: Growth Opportunities - Promotes Professional Growth
(Number of Employees along with percentage, tabulated on the Likert Scale Ratings)
SA A N D SD
3 10 21 64 99
2% 5% 11% 31% 49%
Table: 8
Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies
Volume 1, Issue 7, December 2013 pg. 434-442
© 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 440 | P a g e
FACTOR D - Organizational culture
Sub-Factor 1: Growth Opportunities - Able to use Talent
(Number of Employees along with percentage, tabulated on the Likert Scale Ratings)
SA A N D SD
5 9 46 71 66
3% 5% 23% 35% 32%
Table: 9
FACTOR D - Organizational culture
Sub-Factor 1: Growth Opportunities - Working at Full Potential
(Number of Employees along with percentage, tabulated on the Likert Scale Ratings)
SA A N D SD
16 31 71 54 25
8% 16% 35% 26% 13%
Table: 10
 Sub Factor 2 – Feeling Valued:
It was noted that 28% employees strongly disagree & 44% employees disagree that – “I am recognized for a job well-
done”. 15% employees were neutral on this point.
On the other hand, as high as 63% employees strongly disagree & 30% employees disagree that “My ideas are valued while
I was at work”. 2% employees were neutral on this point.
The above figure highlights that most of the employees are highly dissatisfied when it comes to Feeling Valued” in the
Organization.
FACTOR D - Organizational culture
Sub-Factor 2: Feeling Valued - Recognized for Job Well Done
(Number of Employees along with percentage, tabulated on the Likert Scale Ratings)
SA A N D SD
9 11 30 90 57
5% 6% 15% 44% 28%
Table: 11
FACTOR D - Organizational culture
Sub-Factor 2: Feeling Valued – My Ideas are valued at Work
(Number of Employees along with percentage, tabulated on the Likert Scale Ratings)
SA A N D SD
2 3 3 62 127
1% 2% 2% 30% 63%
Table: 12
FACTOR D - Organizational culture
Sub-Factor 3: Perception of Management - Encourages Cooperation & Team Work
(Number of Employees along with percentage, tabulated on the Likert Scale Ratings)
SA A N D SD
20 23 37 57 60
10% 12% 19% 28% 29%
Table: 13
FACTOR D - Organizational culture
Sub-Factor 3: Perception of Management - Resolves Complaints about Problems
(Number of Employees along with percentage, tabulated on the Likert Scale Ratings)
SA A N D SD
4 8 14 67 104
2% 4% 7% 34% 51%
Table: 14
Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies
Volume 1, Issue 7, December 2013 pg. 434-442
© 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 441 | P a g e
Tabular representation of the Average Rating of Factors in the Questionnaire
Important Factors Factor Loading
Better Remuneration & Career Prospects .875
Perceptions of training & resources .784
Shift Timings & Week-offs .545
Organizational culture .834
Table: 15
The table No. 15 shows the factor loading about different factors studied in this paper that shows
Better Remuneration & Career Prospects is having highest factor loading that means salary is the prime important factor
for any organization. It means if organization will conduct time to time appraisal program that would be helpful for further
development.
Next prime important factor is Organizational culture , that will always having importance for workers associated with the
organization that means if culture or working environment would be good organization will grown up easily and attrition will
be in controlled.
Factor Perceptions of training & resources will says that time to time training should be organized in the organized in
organization for betterment of it’s employees , once employee having the good knowledge than they are always perform better
and somehow with this kind of activity they may able to get good appraisal and don’t want to live the organization.
Shift Timings & Week-offs, off-course this factor is important but it can be manage easily.
VII. CONCLUSION
By tapping into the voices of those who have left MSource BPO on the one hand, and feedback from the present employees
on the other hand, this research begins to illuminate what organizational conditions obstruct the retention of workers. The
findings imply that employees need manageable workloads, support and recognition from their co-workers and management,
and opportunities for growth and innovation.
Many of the organizational issues identified in the interviews appear, at least on the surface, to be structural or technical
problems to be corrected or adjusted by the organization‘s administration. Problems with high quality pertinent training,
adequate staffing, and sufficient resources to succeed at one‘s job are consistent with previous findings in human service
organizations (Light, 2003).
However, this study highlights how ― softer factors related to organizational culture, inconsistent shift timings and
motivational factors are impacting employee attrition.
Such conventional culture now requires a change approach in this sector. Issues that can be rectified only with changes in
workflow patterns, more efficient tracking systems, better training procedures, or more selective hiring practices (as supported
by our findings).
Therefore, working collaboratively with staff in BPOs to identify and define targets for OC change would increase the
voice and agency of staff. Organizational culture change is an expensive endeavor; however, high turnover and poor
performance is likely to cost these organizations more over time, especially as performance measures become harder to meet.
Based upon the distribution of ages, Educational Status & Marital Status in the sample, it is important to note that
approximately 30% of these staff may leave the Organization due to Further Studies & existing Educational commitments,
within next 1 year. Prioritizing ways to retain new staff will become increasingly important to assure that the organization does
not lose more of its human capital and with it, its ability to serve those in need.
Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies
Volume 1, Issue 7, December 2013 pg. 434-442
© 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 442 | P a g e
Although this could be conceptualized as a ― crisis, it could also be conceptualized as an opportunity to shift the pre-
existing OC away from one of regulation towards one of innovation. This shift may facilitate BPOs taking advantage of their
new-found discretion to not only improve client outcomes but to also meet performance outcomes. This study documents that
frontline staff want to be supported in pursuing such a shift.
References
1. Batt. R and L. Moynihan, 2002. The Viability of Alternative Call Centre Production Models, Human Resource Management Journal (HRMJ)
2. Batt. R and L. Moynihan, 2004. Human Resource Practices, Service Quality, and Economic Performance in Call Centers. CAHRS Wk.
3. Holman, D. 2001. Employee Stress in Call Centres, Human Resource Management Journal, Research Paper by Price Water House Coopers, The
Evolution of BPO in India, April 2005.
4. Rosemary Batt, Virginia Doellgast, Hyunji Kwon, Mudit Nopany, Priti Nopany, with Anil da Costa, Cornell University, July, 2005, The Indian Call
Centre Industry: National Benchmarking Report Strategy, HR Practices, & Performance.
5. http://www.scribd.com/Attrition-Rates-Project-Report/d/21430807 (23-10-12)
6. http://www.citehr.com/
7. http://www.businessdictionary.com/definition/attrition.html (12-2-13 3:00PM)
8. http://www.citehr.com/33505-word-meaning-attrition-termination-policy.html (4-5-13, at 1:24PM)
9. http://www.wisegeek.com/what-is-employee-attrition.htm (20-12-13 at 4:00PM)
10. Getzlaf, S. B., Sedlacek, G. M., Kearney, K. A., & Blackwell, J. M. (1984). Two types of voluntary undergraduate attrition: Application of Tinto's
model. Research in Higher Education, 20(3), 257-268.
11. Mallette, B. I., & Cabrera, A. F. (1991). Determinants of withdrawal behavior: An exploratory study. Research in Higher Education, 32(2), 179-194.
12. Bean, J. P., & Metzner, B. S. (1985). A conceptual model of nontraditional undergraduate student attrition. Review of educational Research, 55(4),
485-540.
13. Chandrasekar, K. (2011). Managing Attrition: The Real Problem Behind the Growth of Business Process Outsourcing (BPO) Companies. Journal of
Social Welfare & Management, 3.
14. Sengupta, S., & Gupta, A. (2012). Exploring the dimensions of attrition in Indian BPOs. The International Journal of Human Resource Management,
23(6), 1259-1288.
15. Raman, R. (2006). Strategies to retain human capital in Business Process Outsourcing (BPO) industry. Kohinoor Business School, Khandala,
Working Paper.
16. Srivastav, A. K. (2010). Organizational Climate: BPO Industry. SCMS Journal of Indian Management, 7(2).
17. Fleischman, M. J. (1979). Using parenting salaries to control attrition and cooperation in therapy. Behavior Therapy, 10(1), 111-116.
18. Grace, H. A. (1957). Personality factors and college attrition. Peabody journal of Education, 35(1), 36-40.
19. Goel, D., & Thakur, P. (2007). India: an attractive BPO destination marred by alarming attrition insights into the causes, impact and mitigation
actions. Global Service Delivery Advisory Services, TPI.
20. Williams, J. (2004). Learn While You Earn: Strategic Management of the Attrition Problem Within the Indian BPO sector. Indian Journal of
Economics and Business (Special Issue), (Fall 2004), 153-167.
AUTHOR(S) PROFILE
Vibha Gupta, received the M.B.A. degree in Advertising & Public Relation in 2001 from Devi Ahilya
Vishvavidhyalay, Indore, and Submitted Ph.D. Thesis in Management Titled “A Study of Factors
Affecting Internet Advertising Strategy”. Respectively. I am associated with International Institute of
Professional Studies since 2006, prior to that I worked for service industry for 12 years as well as having
Diploma in Multimedia from C-DAC Pune, India. My subject interests are Internet Marketing, Advertising
& public Relations, HRM, HRP, Marketing research & Multimedia.

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An Analysis Of Attrition Retention Strategy For IT BPO Industry

  • 1. © 2013, IJARCSMS All Rights Reserved 434 | P a g e ISSN: 2321-7782 (Online) Volume 1, Issue 7, December 2013 International Journal of Advance Research in Computer Science and Management Studies Research Paper Available online at: www.ijarcsms.com An Analysis of Attrition: Retention strategy for IT/BPO Industry Vibha Gupta IIPS DAVV Indore - India Abstract: Attrition word is very dangerous now a day for any organization those are working like BPO’s, because staff attrition (or turnover) and absenteeism represents significant costs to most organizations. It is odd, therefore, that many organizations neither measure such costs nor have targets or plans to reduce them. However, it seems to be one of the areas in which HR can make a difference - and one that can be measured in quantifiable, financial terms against targets. The study is focused on recruitment and retention challenges that the IT/BPO industry currently faces and to examine ways to reduce high turnover rates among first year Employees in the leading Domestic Call Center based in Indore. According to the Department of Human Resources (MSource BPO, Indore), turnover rates for permanent Agents/Executives were 15.6% in 2009 and 35% in 2012. Department of Human Resources which also tracks attrition of temporary employees measured the turnover rate for temporary employees to be 77%in 2012. The monetary cost of such high turnover is enormous. Keyword: Attrition Control, Turnover, Absenteeism. I. INTRODUCTION Definitions 1. The unpredictable and uncontrollable, but normal, reduction of work force due to resignations, retirement, sickness, or death. 2. Loss of a material or resource due to obsolescence or spoilage. Meaning of Attrition These days, very often we come across the word `ATTRITION'. This word is being used in place of Employees turnover in an organization, used earlier. " the wearing down of an adversary, making him weaker by repeatedly attacking them or wearing down of resources i.e. the process of reducing the number of people who are employed by an organization by not replacing people who leave the job." Building on its growth over the last few years, the Indian IT-BPO sector has emerged among the leading employment providers of the country with nearly 4 million people being directly employed in the IT-BPO industry. Growth has given rise to predictable challenges of managing people, who owing to the nature of the sector form one of the most critical assets of the IT delivery chain. It is universally recognized that the sustained availability of skilled manpower at the right cost will be the make- or-break factor as India attempts to rise up the IT value chain. The percentage of employees that leave a company in a given period of time due to attrition is sometimes referred to as the churn rate, though that term can also include personnel who are fired. A high churn rate can adversely affect a company due to the costs of training new workers, though higher rates are often more acceptable for unskilled laborers than more highly skilled
  • 2. Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies Volume 1, Issue 7, December 2013 pg. 434-442 © 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 435 | P a g e or trained workers. Churn rate is often lower in industries that employ highly skilled workers, and companies often use lucrative employment contracts and other tactics to prevent some forms of attrition. There are also circumstances where employee attrition can be used to benefit a company. In some circumstances, it becomes necessary for a company to cut labor costs to remain profitable. One method of dealing with this type of issue is to to lay off a number of workers, though this can present morale problems for the remaining employees. If the attrition rate is known, then simply not hiring new employees can present a long term method of dealing with the same problem. Since some employees will retire or resign over time through attrition, a hiring freeze can eventually result in fewer employees and a similar savings in labor costs. Employee attrition refers to the loss of employees through a number of circumstances, such as resignation and retirement. The cause of attrition may be either voluntary or involuntary, though employer-initiated events such as layoffs are not typically included in the definition. Each industry has its own standards for acceptable attrition rates, and these rates can also differ between skilled and unskilled positions. Due to the expenses associated with training new employees, any type of employee attrition is typically seen to have a monetary cost. It is also possible for a company to use employee attrition to its benefit in some circumstances, such as relying on it to control labor costs without issuing mass layoffs. There are many different ways for a company to lose employees, most of which are typically taken into account to ensure that the organization is able to operate efficiently. Attrition refers to the loss of employees due to reasons other than firing and other employer-initiated events. This means that an employer has no direct control over how many personnel are lost to employee attrition. Retirement is one major cause of employee attrition, and since people tend to retire around a specific age this is a factor that can be accounted and planned for. Other causes of employee attrition, such as personnel who quit due to prolonged illness, dissatisfaction with the company, or other reasons, can be more difficult to estimate. Attrition Rates of FOUR Major Indian IT/BPO Companies (comparing 1st Quarters of FY 2009 & 2010) Companies Q1 10 Q1 09 TCS 13.1% 11% Infosys 15.8% 11.1% Wipro 15.8% 9.8% HCL 15.7% 13% Source: Data published on net by bodies like NASCOM & data from surveys such as KPMG II. LITERATURE REVIEW Literature reviews is an account of what has been published in connection with this research. The main purpose is to gain knowledge and ideas based on the previous establishment and get to know what their strength and weakness are in order to further enhance and upgrade the integration. Getzlaf, S. B., et.al. (1984), compared undergraduate students who had dropped out from Washington State University (WSU) one year prior to the study with a control sample of students who continued at WSU with the help of Tinto's model of institutional attrition. Tinto's constructs of individual attributes, past educational experience, goal commitment, institutional commitment, social integration, and academic integration were operationalized using variables obtained from precollege records, academic records at the university, and a post-withdrawal survey. Mallette, B. I., & Cabrera, A. F. (1991) also tested Tinto’s model on college persistence. Those have typically classified nonreturnees as dropouts. Which argues that such a practice merges together different types of withdrawal behavior whose determinants may vary as a function of the particular departure behavior under consideration. It’s also examines whether the determinants of decisions to withdraw from the institution are similar to those affecting decisions to transfer to other institutions of higher education for the 1984 entering freshman class at a large southern institution.
  • 3. Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies Volume 1, Issue 7, December 2013 pg. 434-442 © 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 436 | P a g e Bean, J. P., & Metzner, B. S. (1985), Older, part-time, and commuter students have composed an increasingly larger portion of college student bodies. The reasons why these students drop out of school are not well understood. The purpose of this paper is to describe the rise in nontraditional enrollments, define the nontraditional undergraduate student, and develop a conceptual model of the attrition process for these students. The chief difference between the attrition process of traditional and nontraditional students is that nontraditional students are more affected by the external environment than by the social integration variables affecting traditional student attrition. Sengupta, S., & Gupta, A. (2012), says that Business process outsourcing (BPO) industry in India is progressing with an unparalleled velocity. Despite the momentous growth and brilliant future, the BPO industry has experienced high attrition rates since inception. There are many factors that lead to attrition in BPOs and much research has taken place time and again. In this study, they made a comprehensive attempt to explore the dimensions of attrition by identifying the factors that lead to it, assessing the contribution of the factors toward attrition, and comparing the dimensions across the various demographic variables. Srivastav, A. K. (2010), coded that how organizational climate operates in BPO industry. Six motives of organizational climate were measured in BPO companies. Expert Influence and Extension were respectively the dominant and backup climates. Affiliation was the weakest climate. Exploratory factor analysis of climate motives revealed three meta-climates operating in BPO industry: (1) Brazen Shirking combining heightened Dependency and de-emphasized Affiliation, (2) Empowered Collaboration representing heightened Extension and de-emphasized Control, (3) Obsession for Expertise combining heightened Expert Influence and de-emphasized Achievement. 70.30% variance explains these meta-climates that reflect the realities in BPO industry. Chandrasekar, K. (2011), says that Human Resource is considered to be the most valuable asset in an Organization. It continues to play, even in the computer age, when everybody feels that men have a little role to play. It is true that computer, to some extent, does play a role, but programming and feeding such programme require manual operations. In other words, the application of manpower has no substitute and therefore, it has a continuous role to play. The main problem against the manpower development is attrition. The rate of attrition is increasing every day so that production and profit decrease. Noteworthy is the continuously growing rate of attrition among the IT, ITES and other Software based companies. This has made the companies to take up research studies based on their employees, especially to identify the factors of attrition. This research helps to know about the employees' attitude towards the company and the work, also highlighting various other direct and indirect effects of attrition on production, cost, discipline and efficiency in the industry. III. OBJECTIVES The objective of the study includes: 1) To examine the cause of the high attrition rate among officers/agents in the IT/BPO sector. 2) To analyze factors affecting Attrition in IT & BPO sector. 3) To know the major recommendations to management about how to reduce this high attrition rate and prioritizing these recommendations to maximize monetary and personnel resources. IV. RESEARCH METHODOLOGY The research is exploratory research regarding measurement of attrition control system in case of IT and Business Processing Outsourcing sectors. This study was designed with a mixed methods approach to optimize the understanding of attrition in “TWO” PHASES: 1. Interviewing the ex-employees (within past one year) 2. Surveying the existing Agents with less than 1 year job duration
  • 4. Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies Volume 1, Issue 7, December 2013 pg. 434-442 © 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 437 | P a g e In order to meet the objectives of the study, primary data is collected using the questionnaire method. The questionnaire which consisted of two parts: Part – I consisted of the questions related Demographics and awareness about Attrition. Parts II of the questionnaire consisted of 35 variables which are directly related to factor affecting Attrition. These have been measured with 5 pointer Likert scale. The sample size taken for the study constituted of 200 respondents. Convenience sampling technique has been used for data collection wherein the sample is chosen from the population in random proportion of the various age groups present in the population. V. FINDING AND DISCUSSION The data is collected from 200 respondents. Out of 200 the response rate was 92 %. The incomplete/inappropriate responses are rejected to get higher precision value in results. After collection of the data, the reliability of the research instrument is tested by using Cronbach's alpha and factor analysis, are applied using SPSS 20 version in order to achieve the objectives of the study. VI. RELIABILITY TEST The observed value shows that the value of Cronbach's alpha is 0.885 for 35 items taken in the present study. As this value is more than 0.70 hence it is interpreted that the research instrument is reliable to undergo further data analysis. Reliability Statistics Cronbach's Alpha Cronbach's Alpha Based on Standardized Items N of Items .885 .886 35 Table 1Tabular representation of the Demography of the Sample for First Phase Term of service Age Sex Education Marital Status 20-30 30- 40 40 + M F 12th Graduate PG S M Left during Training 57 44 7 42 66 59 49 0 51 57 Left Within 6 months 36 23 5 28 36 35 27 2 34 30 Left Within 6 – 12 months 19 7 2 12 16 10 15 3 4 24 Left after 1 year of service 0 8 2 4 6 0 10 0 9 1 Total 112 82 16 86 124 104 101 5 98 112 Table: 2 Reasons for leaving the job as specified in the Telephonic interviews with the Former Employees in 1st Phase Causes for leaving the job as stated in the telephonic interview Percentage Better remuneration packages on offer at other firms 45% Career prospects (promotion track) looks more promising elsewhere 24% Dissatisfaction with quality of work environment 17% Night shifts, weekend work, Rotational shift leading to dissatisfaction with work/ life balance at current employer 39% Remuneration and promotion policies deemed to be in-transparent or unjust 26% Further / Higher Studies 13% Family/Personal reasons 9% Inadequate/Improper staff training at current employer 32% Employee feels let-down by current employer 28% Difference in job related expectation & experience 7% Others 2% Table: 3Tabular representation of the Demography of the Sample for Second Phase
  • 5. Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies Volume 1, Issue 7, December 2013 pg. 434-442 © 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 438 | P a g e Term of service Age Sex Education Marital Status 20-30 30- 40 40 + M F 12th Graduate PG S M Employees in Training 55 45 6 40 64 57 53 0 47 52 Employees in Probation 34 26 6 26 38 33 29 1 31 29 Permanent Employees less than 1 year in the service 18 8 2 14 18 11 13 3 14 27 Total 107 79 14 80 12 0 101 95 4 92 108 Table: 4 Initially, personal interviews with the selected candidates were conducted to understand their feelings, problems & experiences with the job. Based on the feedback from the above personal interview, a small “4 POINTS“- Questionnaire was set, which included the most important factors identified. The following most important factors were identified during the qualitative findings in the personal interview and we operationalized each factors by 5-point Likert scale (where, 1 = strongly disagree, and 5 = strongly agree), in the Questionnaire: A. Better Remuneration & Career Prospects B. Perceptions of training & resources C. Shift Timings & Week-offs D. Organizational culture. The quantitative model tested in this study was developed from findings in the literature and factors derived from the qualitative findings. A Questionnaire was self designed and structured containing two sections. The Data gathered from the Questionnaire was then entered into MS Excel and SPSS version 20. Factor Analysis was conducted to understand the importance of Individual factors. Each Factor was assigned a weightage and the final score (ratings) was converted into Percentage.  Factor A - Better Remuneration & Career Prospects, was assigned 20% weightage.  Factor B - Perceptions of training & resources was assigned 20% weightage.  Factor C - Shift Timings & Week-offs was also assigned 20% weightage.  Factor D - Organizational culture was assigned the remaining 40% weightage.  Factor A - Better Remuneration & Career Prospects It was seen that 35% employees strongly disagree & 34% employees disagree that – “Remuneration & Career Prospects provided by my Organization is as per the industry standards”. 18% employees were neutral on this point. Better Remuneration & Career Prospects was one of the most important concerns as voiced by the ex-employees & present employees in the Interviews. It clearly shows that HR should restructure the Remuneration & Career Prospect policies.
  • 6. Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies Volume 1, Issue 7, December 2013 pg. 434-442 © 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 439 | P a g e FACTOR A - Better Remuneration & Career Prospects (Number of Employees along with percentage, tabulated on the Likert Scale Ratings) SA A N D SD 3 17 37 69 71 2% 9% 18% 34% 35% Table: 5  Factor B – Perceptions of Training & Resources: It was noted that 17% employees strongly disagree & 30% employees disagree that – “I received appropriate training on joining the department to enable me to do my job. I am provided with all the resources needed to be successful in my job”. 15% employees were neutral on this point. Dissatisfaction with the training program was one of the common problems as discussed in the Interviews; therefore, HR should also plan on redesigning the Training program. FACTOR B - Perceptions of training & resources (Number of Employees along with percentage, tabulated on the Likert Scale Ratings) SA A N D SD 29 44 30 61 33 15% 21% 15% 30% 17% Table: 6 Factor C – Shift Timings & Week-offs It was noted that only 9% employees strongly disagree & 18% employees disagree that – “I have adjusted with my rotating shift timings & week-offs, and understand that this is as per the demand of the industry”. 15% employees were neutral on this point. Though it takes toll on the health front & also disturbs the daily routine/life style of an individual, however, adjusting to the rotating shift timings & changing weekly-offs is a pre-requisite to the IT/BPO industry. It is not only informed/explained before joining, but this is a well known fact & one of the reasons of such high packages offered in this sector. Thus, much cannot be expected on this from HR, however, a better & bit-flexible schedule may be considered/drafted. FACTOR C - Shift Timings & Week-offs (Number of Employees along with percentage, tabulated on the Likert Scale Ratings) SA A N D SD 67 47 30 35 18 33% 23% 15% 18% 9% Table: 7  Factor D – Organization Culture Sub Factor 1 - Growth Opportunities: It was noted that 49% employees strongly disagree & 31% employees disagree that – “My Organization promotes my professional growth and development”. 11% employees were neutral on this point. On the other hand 32% employees strongly disagree & 35% employees disagree that “I am able to use my real talents at work on a daily basis”. 23% employees were neutral on this point. Also, 13% employees strongly disagree & 26% employees disagree that – “I am working at my full potential”. 35% employees were neutral on this point. The above figure highlights that most of the employees are unsatisfied with the Growth Opportunities provided by the Organization. FACTOR D - Organizational culture Sub-Factor 1: Growth Opportunities - Promotes Professional Growth (Number of Employees along with percentage, tabulated on the Likert Scale Ratings) SA A N D SD 3 10 21 64 99 2% 5% 11% 31% 49% Table: 8
  • 7. Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies Volume 1, Issue 7, December 2013 pg. 434-442 © 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 440 | P a g e FACTOR D - Organizational culture Sub-Factor 1: Growth Opportunities - Able to use Talent (Number of Employees along with percentage, tabulated on the Likert Scale Ratings) SA A N D SD 5 9 46 71 66 3% 5% 23% 35% 32% Table: 9 FACTOR D - Organizational culture Sub-Factor 1: Growth Opportunities - Working at Full Potential (Number of Employees along with percentage, tabulated on the Likert Scale Ratings) SA A N D SD 16 31 71 54 25 8% 16% 35% 26% 13% Table: 10  Sub Factor 2 – Feeling Valued: It was noted that 28% employees strongly disagree & 44% employees disagree that – “I am recognized for a job well- done”. 15% employees were neutral on this point. On the other hand, as high as 63% employees strongly disagree & 30% employees disagree that “My ideas are valued while I was at work”. 2% employees were neutral on this point. The above figure highlights that most of the employees are highly dissatisfied when it comes to Feeling Valued” in the Organization. FACTOR D - Organizational culture Sub-Factor 2: Feeling Valued - Recognized for Job Well Done (Number of Employees along with percentage, tabulated on the Likert Scale Ratings) SA A N D SD 9 11 30 90 57 5% 6% 15% 44% 28% Table: 11 FACTOR D - Organizational culture Sub-Factor 2: Feeling Valued – My Ideas are valued at Work (Number of Employees along with percentage, tabulated on the Likert Scale Ratings) SA A N D SD 2 3 3 62 127 1% 2% 2% 30% 63% Table: 12 FACTOR D - Organizational culture Sub-Factor 3: Perception of Management - Encourages Cooperation & Team Work (Number of Employees along with percentage, tabulated on the Likert Scale Ratings) SA A N D SD 20 23 37 57 60 10% 12% 19% 28% 29% Table: 13 FACTOR D - Organizational culture Sub-Factor 3: Perception of Management - Resolves Complaints about Problems (Number of Employees along with percentage, tabulated on the Likert Scale Ratings) SA A N D SD 4 8 14 67 104 2% 4% 7% 34% 51% Table: 14
  • 8. Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies Volume 1, Issue 7, December 2013 pg. 434-442 © 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 441 | P a g e Tabular representation of the Average Rating of Factors in the Questionnaire Important Factors Factor Loading Better Remuneration & Career Prospects .875 Perceptions of training & resources .784 Shift Timings & Week-offs .545 Organizational culture .834 Table: 15 The table No. 15 shows the factor loading about different factors studied in this paper that shows Better Remuneration & Career Prospects is having highest factor loading that means salary is the prime important factor for any organization. It means if organization will conduct time to time appraisal program that would be helpful for further development. Next prime important factor is Organizational culture , that will always having importance for workers associated with the organization that means if culture or working environment would be good organization will grown up easily and attrition will be in controlled. Factor Perceptions of training & resources will says that time to time training should be organized in the organized in organization for betterment of it’s employees , once employee having the good knowledge than they are always perform better and somehow with this kind of activity they may able to get good appraisal and don’t want to live the organization. Shift Timings & Week-offs, off-course this factor is important but it can be manage easily. VII. CONCLUSION By tapping into the voices of those who have left MSource BPO on the one hand, and feedback from the present employees on the other hand, this research begins to illuminate what organizational conditions obstruct the retention of workers. The findings imply that employees need manageable workloads, support and recognition from their co-workers and management, and opportunities for growth and innovation. Many of the organizational issues identified in the interviews appear, at least on the surface, to be structural or technical problems to be corrected or adjusted by the organization‘s administration. Problems with high quality pertinent training, adequate staffing, and sufficient resources to succeed at one‘s job are consistent with previous findings in human service organizations (Light, 2003). However, this study highlights how ― softer factors related to organizational culture, inconsistent shift timings and motivational factors are impacting employee attrition. Such conventional culture now requires a change approach in this sector. Issues that can be rectified only with changes in workflow patterns, more efficient tracking systems, better training procedures, or more selective hiring practices (as supported by our findings). Therefore, working collaboratively with staff in BPOs to identify and define targets for OC change would increase the voice and agency of staff. Organizational culture change is an expensive endeavor; however, high turnover and poor performance is likely to cost these organizations more over time, especially as performance measures become harder to meet. Based upon the distribution of ages, Educational Status & Marital Status in the sample, it is important to note that approximately 30% of these staff may leave the Organization due to Further Studies & existing Educational commitments, within next 1 year. Prioritizing ways to retain new staff will become increasingly important to assure that the organization does not lose more of its human capital and with it, its ability to serve those in need.
  • 9. Vibha Gupta et al.., International Journal of Advance Research in Computer Science and Management Studies Volume 1, Issue 7, December 2013 pg. 434-442 © 2013, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) Impact Factor: 3.5 442 | P a g e Although this could be conceptualized as a ― crisis, it could also be conceptualized as an opportunity to shift the pre- existing OC away from one of regulation towards one of innovation. This shift may facilitate BPOs taking advantage of their new-found discretion to not only improve client outcomes but to also meet performance outcomes. This study documents that frontline staff want to be supported in pursuing such a shift. References 1. Batt. R and L. Moynihan, 2002. The Viability of Alternative Call Centre Production Models, Human Resource Management Journal (HRMJ) 2. Batt. R and L. Moynihan, 2004. Human Resource Practices, Service Quality, and Economic Performance in Call Centers. CAHRS Wk. 3. Holman, D. 2001. Employee Stress in Call Centres, Human Resource Management Journal, Research Paper by Price Water House Coopers, The Evolution of BPO in India, April 2005. 4. Rosemary Batt, Virginia Doellgast, Hyunji Kwon, Mudit Nopany, Priti Nopany, with Anil da Costa, Cornell University, July, 2005, The Indian Call Centre Industry: National Benchmarking Report Strategy, HR Practices, & Performance. 5. http://www.scribd.com/Attrition-Rates-Project-Report/d/21430807 (23-10-12) 6. http://www.citehr.com/ 7. http://www.businessdictionary.com/definition/attrition.html (12-2-13 3:00PM) 8. http://www.citehr.com/33505-word-meaning-attrition-termination-policy.html (4-5-13, at 1:24PM) 9. http://www.wisegeek.com/what-is-employee-attrition.htm (20-12-13 at 4:00PM) 10. Getzlaf, S. B., Sedlacek, G. M., Kearney, K. A., & Blackwell, J. M. (1984). Two types of voluntary undergraduate attrition: Application of Tinto's model. Research in Higher Education, 20(3), 257-268. 11. Mallette, B. I., & Cabrera, A. F. (1991). Determinants of withdrawal behavior: An exploratory study. Research in Higher Education, 32(2), 179-194. 12. Bean, J. P., & Metzner, B. S. (1985). A conceptual model of nontraditional undergraduate student attrition. Review of educational Research, 55(4), 485-540. 13. Chandrasekar, K. (2011). Managing Attrition: The Real Problem Behind the Growth of Business Process Outsourcing (BPO) Companies. Journal of Social Welfare & Management, 3. 14. Sengupta, S., & Gupta, A. (2012). Exploring the dimensions of attrition in Indian BPOs. The International Journal of Human Resource Management, 23(6), 1259-1288. 15. Raman, R. (2006). Strategies to retain human capital in Business Process Outsourcing (BPO) industry. Kohinoor Business School, Khandala, Working Paper. 16. Srivastav, A. K. (2010). Organizational Climate: BPO Industry. SCMS Journal of Indian Management, 7(2). 17. Fleischman, M. J. (1979). Using parenting salaries to control attrition and cooperation in therapy. Behavior Therapy, 10(1), 111-116. 18. Grace, H. A. (1957). Personality factors and college attrition. Peabody journal of Education, 35(1), 36-40. 19. Goel, D., & Thakur, P. (2007). India: an attractive BPO destination marred by alarming attrition insights into the causes, impact and mitigation actions. Global Service Delivery Advisory Services, TPI. 20. Williams, J. (2004). Learn While You Earn: Strategic Management of the Attrition Problem Within the Indian BPO sector. Indian Journal of Economics and Business (Special Issue), (Fall 2004), 153-167. AUTHOR(S) PROFILE Vibha Gupta, received the M.B.A. degree in Advertising & Public Relation in 2001 from Devi Ahilya Vishvavidhyalay, Indore, and Submitted Ph.D. Thesis in Management Titled “A Study of Factors Affecting Internet Advertising Strategy”. Respectively. I am associated with International Institute of Professional Studies since 2006, prior to that I worked for service industry for 12 years as well as having Diploma in Multimedia from C-DAC Pune, India. My subject interests are Internet Marketing, Advertising & public Relations, HRM, HRP, Marketing research & Multimedia.