This work is aimed at identifying causal factors of attrition & retention and to produce a predictive model that could help to plan reduced attrition and increased retention at management level. This study is triggered due to high attrition scenario in BTO. Key points of this work are
• Attrition & Retention are mutually exclusive, having different set of factors
• A combination Herzberg’s Dual Factor Theory of Motivation, Hackman & Oldham’s Job Characteristic Model and ASA frame work helps best to model the current attrition in the industry.
• There are 8 set of factors which explains attrition and 4 set of factors which explains retention
A combination of Employee Motivation, Employee Satisfaction, Employee Involvement & Life Interest and Work Compatibility ensure prolonged association of an employee to an Organization
This presentation seeks to understand all possible factors behind Employee Attrition in the Philippine Corporate setting with challenges to HR departments to be innovative in addressing this problem.
This presentation seeks to understand all possible factors behind Employee Attrition in the Philippine Corporate setting with challenges to HR departments to be innovative in addressing this problem.
This resource guide demonstrates how a well-planned, comprehensive recognition and reward program can energize, empower, and rally employees to be more productive. It also shows how a R&R program can enrich a company culture and effectively align employees with corporate goals and objectives.
Evolution Of Hrm, Difference b/w PM & HRM, Functions, Wheels Of HRM, Harvard framework of HRM, Challenges faced by HRM, 5- P Models of strategic HRM-- By Akio Morita, Founder, Sony Corporation.
This ppt will help you to understand about various HR challenges in current business environment & give you a brief insight to increase your conceptual idea in HR field.
HR / Talent Analytics orientation given as a guest lecture at Management Institute for Leadership and Excellence (MILE), Pune. This presentation covers aspects like:
1. Core concepts, terminologies & buzzwords
- Business Intelligence, Analytics
- Big Data, Cloud, SaaS
2. Analytics
- Types, Domains, Tools…
3. HR Analytics
- Why? What is measured?
- How? Predictive possibilities…
4. Case studies
5. HR Analytics org structure & delivery model
Too much travel causes valuable employees to burn out. tClara describes its process for predicting traveler attrition before it happens - and what companies can do to prevent it.
This resource guide demonstrates how a well-planned, comprehensive recognition and reward program can energize, empower, and rally employees to be more productive. It also shows how a R&R program can enrich a company culture and effectively align employees with corporate goals and objectives.
Evolution Of Hrm, Difference b/w PM & HRM, Functions, Wheels Of HRM, Harvard framework of HRM, Challenges faced by HRM, 5- P Models of strategic HRM-- By Akio Morita, Founder, Sony Corporation.
This ppt will help you to understand about various HR challenges in current business environment & give you a brief insight to increase your conceptual idea in HR field.
HR / Talent Analytics orientation given as a guest lecture at Management Institute for Leadership and Excellence (MILE), Pune. This presentation covers aspects like:
1. Core concepts, terminologies & buzzwords
- Business Intelligence, Analytics
- Big Data, Cloud, SaaS
2. Analytics
- Types, Domains, Tools…
3. HR Analytics
- Why? What is measured?
- How? Predictive possibilities…
4. Case studies
5. HR Analytics org structure & delivery model
Too much travel causes valuable employees to burn out. tClara describes its process for predicting traveler attrition before it happens - and what companies can do to prevent it.
This presentation gives a very high-level explanation of what a dashboard should be used for, what type of content it should consider and how it should look to be most effective.
A STUDY ON EMPLOYEE RETENTION FACTORS INFLUENCING IT PROFESSIONALS – INDIAN P...IAEME Publication
Employee Retention is one of the key challenges faced by IT Organizations in India. It has been observed that there is a great demand for skilled IT professionals within India and abroad, which has resulted in technocrats leaving the Organization in search of greener pastures. The IT Organizations in today’s context cannot afford to lose their critical workforce due to uncertainty of changing economy, increasing competition and scarcity of skilled workforceas this would in turn affect their bottom lines drastically. This created the need for designing effective retention strategies. A holistic approach is essential to understand the factors controlling employee turnover in Indian IT and Multinational Companies by the HR Managers. The present study therefore not only aims at examining the reasons for employees leaving the Organization, staying back factors, their attitude towards work, work relationships and their prioritized basic expectations from the Organization but also aims at finding out if there is any significant difference in the response among IT professionals of Indian IT and Multinational Companies with respect to the above factors. Based on the analysis of responses of 30 IT professionals carried out, it was found that there was no significant difference among these companies. However, with respect to certain demographic factors considered like total experience, position and sponsored certification programs, it was found that there was significant difference between these companies. The outcome of the study is expected to help the HR Managers of these Organizations inminimizing the attrition rate by developing effective retention strategies specific to their Organization.
An Analysis on Employee Turnover Problem in Construction Industryijtsrd
Employee turnover refers to the employees leaving an organization due to various reasons which can be voluntary or involuntary. The study focuses on voluntary turnover. Turnover intent acts as a precedent to turnover and hence the survey measures turnover intention as a precedent for turnover. The study has been conducted to understand the factors relevant to the career decisions of the professionals working in the industry and how well the factors are being fulfilled in the current scenario. The data was collected by a questionnaire survey to determine the relevant factors and their satisfaction levels. The importance of factors was assessed using Relative Importance index and correlation between importances. The factors and satisfaction were correlated to determine areas where improvement was needed to improve satisfaction and hence mitigate turnover intentions. R. Ragul | A. Thomas Eucharist "An Analysis on Employee Turnover Problem in Construction Industry" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49802.pdf Paper URL: https://www.ijtsrd.com/engineering/other/49802/an-analysis-on-employee-turnover-problem-in-construction-industry/r-ragul
The advancement of both society and the economy may be traced back to the industrial sector. Businesses and academic institutions alike have shown considerable enthusiasm for the Industry 4.0 initiative. Although “Industry 4.0” as a concept has been explored in academic circles for some time, it is only recently that the term has become popular in both academic and industrial settings. Academic studies, on the other hand, aim to better the industrial sector by clarifying the meaning of the concept and developing relevant systems, business models, and methodologies. Businesses need a thorough understanding of the features and substance of Industry 4.0 in order to make the transition from machine-dominated to digital production. These data will be useful when they formulate a plan. Along this route, there have been many discussions and plans put forth. The rapid progress of industrial science is linked to this ailment. This paper conducts a literature review to investigate the relationship between Industry 4.0 and the development of industrial engineering science, the challenges that this field faces, and the impact that the industrial revolution had on human resources, all of which contributed to the emergence of Industry 4.0. To improve productivity, efficiency, and unemployment, the concept merges digital technologies, the Internet, and conventional industries. Moreover, some of the ramifications concern the detrimental effects of Industry 4.0 on human resources. The fundamental objective is to furnish labor forces with tools by expanding employment and spawning new avenues for business ownership across several industries and institutional configurations
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
Study: Analytics and Data Science Jobs in India: 2020 – By Great Learning & AIMSrishti Deoras
This report outlines the functional analytics skills and programming languages that are most in-demand in the market. The report provides insights for recruiters and hiring companies so that they can study the demand for skills across the analytics function, and can identify and close any capability gaps across workforces. By highlighting the talent hotspots in the country, the report enables organisations to build a steady talent pipeline.
The case study discusses the potential of drone delivery and the challenges that need to be addressed before it becomes widespread.
Key takeaways:
Drone delivery is in its early stages: Amazon's trial in the UK demonstrates the potential for faster deliveries, but it's still limited by regulations and technology.
Regulations are a major hurdle: Safety concerns around drone collisions with airplanes and people have led to restrictions on flight height and location.
Other challenges exist: Who will use drone delivery the most? Is it cost-effective compared to traditional delivery trucks?
Discussion questions:
Managerial challenges: Integrating drones requires planning for new infrastructure, training staff, and navigating regulations. There are also marketing and recruitment considerations specific to this technology.
External forces vary by country: Regulations, consumer acceptance, and infrastructure all differ between countries.
Demographics matter: Younger generations might be more receptive to drone delivery, while older populations might have concerns.
Stakeholders for Amazon: Customers, regulators, aviation authorities, and competitors are all stakeholders. Regulators likely hold the greatest influence as they determine the feasibility of drone delivery.
Artificial intelligence (AI) offers new opportunities to radically reinvent the way we do business. This study explores how CEOs and top decision makers around the world are responding to the transformative potential of AI.
Senior Project and Engineering Leader Jim Smith.pdfJim Smith
I am a Project and Engineering Leader with extensive experience as a Business Operations Leader, Technical Project Manager, Engineering Manager and Operations Experience for Domestic and International companies such as Electrolux, Carrier, and Deutz. I have developed new products using Stage Gate development/MS Project/JIRA, for the pro-duction of Medical Equipment, Large Commercial Refrigeration Systems, Appliances, HVAC, and Diesel engines.
My experience includes:
Managed customized engineered refrigeration system projects with high voltage power panels from quote to ship, coordinating actions between electrical engineering, mechanical design and application engineering, purchasing, production, test, quality assurance and field installation. Managed projects $25k to $1M per project; 4-8 per month. (Hussmann refrigeration)
Successfully developed the $15-20M yearly corporate capital strategy for manufacturing, with the Executive Team and key stakeholders. Created project scope and specifications, business case, ROI, managed project plans with key personnel for nine consumer product manufacturing and distribution sites; to support the company’s strategic sales plan.
Over 15 years of experience managing and developing cost improvement projects with key Stakeholders, site Manufacturing Engineers, Mechanical Engineers, Maintenance, and facility support personnel to optimize pro-duction operations, safety, EHS, and new product development. (BioLab, Deutz, Caire)
Experience working as a Technical Manager developing new products with chemical engineers and packaging engineers to enhance and reduce the cost of retail products. I have led the activities of multiple engineering groups with diverse backgrounds.
Great experience managing the product development of products which utilize complex electrical controls, high voltage power panels, product testing, and commissioning.
Created project scope, business case, ROI for multiple capital projects to support electrotechnical assembly and CPG goods. Identified project cost, risk, success criteria, and performed equipment qualifications. (Carrier, Electrolux, Biolab, Price, Hussmann)
Created detailed projects plans using MS Project, Gant charts in excel, and updated new product development in Jira for stakeholders and project team members including critical path.
Great knowledge of ISO9001, NFPA, OSHA regulations.
User level knowledge of MRP/SAP, MS Project, Powerpoint, Visio, Mastercontrol, JIRA, Power BI and Tableau.
I appreciate your consideration, and look forward to discussing this role with you, and how I can lead your company’s growth and profitability. I can be contacted via LinkedIn via phone or E Mail.
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1. Attrition & Retention: A Predictive Model
(Behavioral explanation on employee turnover & retention)
WHITE PAPER
Author:
Santanu Basu
2. Attrition & Retention: A Predictive Model
Wipro Ltd. Page 2 of 15
Abstract:
This work is aimed at identifying causal factors of attrition & retention and to
produce a predictive model that could help to plan reduced attrition and
increased retention at management level. This study is triggered due to high
attrition scenario in BTO. Key points of this work are
Attrition & Retention are mutually exclusive, having different set of
factors
A combination Herzberg’s Dual Factor Theory of Motivation, Hackman
& Oldham’s Job Characteristic Model and ASA frame work helps best to
model the current attrition in the industry.
There are 8 set of factors which explains attrition and 4 set of factors
which explains retention
A combination of Employee Motivation, Employee Satisfaction, Employee
Involvement & Life Interest and Work Compatibility ensure prolonged
association of an employee to an Organization.
3. Attrition & Retention: A Predictive Model
Wipro Ltd. Page 3 of 15
Table of Contents
1. Attrition: Growth Impediment to the Industry……………………………….4
2. Attrition Scenario in BTO & Objective .......................................................... 5
3. Literature Review............................................................................................. 6
4. Attrition Factors............................................................................................. 10
5. Retention Factor............................................................................................. 12
6. Modified Hackman & Oldham's Job Characteristic Model........................... 13
7. Basic Models for Attrition & Retention ........................................................ 14
8. References...................................................................................................... 15
4. Attrition & Retention: A Predictive Model
Wipro Ltd. Page 4 of 15
Attrition: Growth Impediment to the Industry
FY2012 stands out as a landmark year – while the Indian IT-BPO industry weathered uncertainties in the global
business environment, this is also the year when the industry is set to reach a significant milestone – aggregate
revenue for FY2012 is expected to cross USD 100 billion (NASSCOM).
Within Software and services exports, IT services accounts for 58 per cent, BPO is nearly 23 per cent and
ER&D and Software Products account for 19 per cent (NASSCOM).
The industry continues to be a net employment generator - expected to add 230,000 jobs in FY2012, thus
providing direct employment to about 2.8 million, and indirectly employing 8.9 million people (NASSCOM).
The industry’s share of total Indian exports (merchandise plus services) increased from less than 4 per cent in
FY1998 to about 25 per cent in FY2012 (NASSCOM).
NASSCOM actually estimated $220-280 billion of business opportunity for BPO export by 2012 and a stretch
target of $50 Billion export revenue (2.5% cont. to GDP) was set for the industry. One of the possible
impediments to this phenomenal growth, forecasted in parallel was lack of talent pool. Forecasted shortage of
0.8-1.2 million entry level graduates which may be further accentuated by the competition from domestic
Retail, Insurance, Telecom, Banking & BPO industries as the advantage of paying higher salary at the entry
level is getting eroded.
Software and services revenues (excluding Hardware),
comprising nearly 87 per cent of the total industry
revenues, expected to post USD 87.6 billion in FY2012;
estimated growth of about 14.9 per cent over
FY2011(NASSCOM).
Within Software and services exports, IT services
accounts for 58 per cent, BPO is nearly 23 per cent and
ER&D and Software Products account for 19 per cent
(NASSCOM).
The industry continues to be a net employment generator
- expected to add 230,000 jobs in FY2012, thus
providing direct employment to about 2.8 million, and
indirectly employing 8.9 million people (NASSCOM).
The industry’s share of total Indian exports (merchandise
plus services) increased from less than 4 per cent in
FY1998 to about 25 per cent in FY2012 (NASSCOM).
‘Aspiring Minds’ National IT/ITeS Employability
Study, 2012, shows that only 38.2% of fresh
graduates are employable in BPO
Close to 3 million graduates every year in India
Banking sector & it’s DSAs along with Retail &
Hospitality sectors are equally good pay master for
fresh graduates. These sectors are also growing at
equally good pace.
5. Attrition & Retention: A Predictive Model
Wipro Ltd. Page 5 of 15
Inadequate talent pool coupled with an attrition rate of 55% posing threats to cost competitiveness & differential
maturity advantage of Indian BPO over the other competitors like Philippines, China & Sri Lanka
Dealing with lack of employability needs lot many stake holders to get involved and though a needed step,
definitely a lengthy one to show improvements.
Attrition one the other hand is a controllable factor within the industry itself hence it is essential at this point to
understand employee turnover from causal perspective to find out the contributing factors and to come out with
a strategy to manage it in a way which could provide advantage in terms of cost, efficiency, and Customer
satisfaction.
Attrition Scenario in BTO:
From April, 11 to April 12, account BTO had an attrition count of 250 which is nearly 50% of the total work
force. Scenario of people leaving at so high rate posing challenges in terms of loss of return over investment to
hire, lost opportunity cost, loss of revenue. All of these are impacting the top line and bottom line both. Below
is the derived hard cost per attrition for an account having strength of 20 billable FTE, billable @ 40 GBP/day
with a hiring lead time of a month and two months training period before the billing starts (GBP to INR @ 76).
This gets even worse when customer starts panicking of losing efficiency and process knowledge.
Objective of this work is to produce a model which explains employee turnover in relation with prevailing
external & internal environment, indicates key contributing factors to help to formulate attrition control and
retention strategies.
Literature Review:
Though details are available around the tenure and system given high level reasons, we lack insight with respect
to demography and actual reasons due to unavailability/inaccessibility of details like findings of exit interviews
etc. Hence most of the work was done through literature review and other research works already done in this
field. The literature review was extensive in the field of ‘Behavioural Science’ and ‘Organizational Behaviour’.
Though there are pre-existing theories explaining various factor of work motivation, one which incorporates all
the aspects to predict attrition and retention was difficult to find. Moreover there could be industry wise
variations in the possible outcome with uniqueness of industries. BPO being a very new industry it was felt to
have some reference exclusive to the industry. Also it was felt to check the viability of the existing theories in
the Indian context as most of the researches done in this field in Western Context. Two empirical researches
done in India, (one exclusive to BPO with 500 respondent in NCR region, in the year of 2008, and another in
6. Attrition & Retention: A Predictive Model
Wipro Ltd. Page 6 of 15
labour industry with close to 1500 respondent) were picked up to add the contextual as well as the empirical
aspects of this work.
Though the field of ‘Organizational Behaviour’ emerged during Second World War with the practice and
findings of Behavioural Science getting embraced in the industries, attempt of explaining human behaviour has
its root way back to Hedonism of ancient Greece, which described human behaviour as rational, conscious &
deliberate attempt to avoid pain and discomfort & to secure comfort and pleasure. The journey goes through the
thoughts of Freud’s addition of unconscious behaviour to Content and Context theories of work motivation. All
of the modern work in this field postulates from the fact that there is a motive to every action. Motive is a felt
need and human behaviour is directed to satisfy the felt needs. Work motivation theory evolved through
Maslow’s need hierarchy and developed in broadly two groups of thoughts, content and process. It is difficult to
ascertain a single model as most effective as all of them are drawn from one perspective or the other. Moreover
empirical research to provide proofs of effectiveness should be taken in to the consideration. Hence focus was
to identify the work which is closest to describe the problem in consideration and valid in terms of empirical
research already done. Herzberg’s Dual Factor theory (1950) is one such. It was formulated through a study
done in 1950 on the accountant and the engineers in and around Pittsburgh. He used critical incidental method
while collecting the data. People surveyed were asked to narrate one incident each from their work – life
experience when they particularly felt happy and unhappy.
According to Herzberg, there are ten maintenance or hygiene factors. These are company policy and
administration, technical supervision, interpersonal relationship with supervisors, interpersonal relationship with
peers, interpersonal relationship with subordinates, salary, job security, personal life, working conditions and
status. These are not intrinsic part of a job, but they are related to conditions under which a job is performed.
They produce no growth in a worker’s output; they only prevent losses in worker’s performance due to work
restrictions. These maintenance factors are necessary to maintain at a reasonable level of satisfaction in
employees. Any increase beyond this level will not provide any satisfaction to the employees; however, any cut
below this level will dissatisfy them. As such, these are also called as ‘dissatisfiers’. Since any increase in these
factors will not affect employee’s level of satisfaction, these are of no use for motivating them.
Along with those he identified factors which are capable of having a positive effect on job satisfaction often
resulting in an increase in one’s total output. Herzberg (1959) includes six factors that motivate employees and
labeled those as ‘motivators’. Those are achievement, recognition, advancement, works itself, possibility of
growth, and responsibility. Most of these factors are related with job contents. An increase in these factors will
satisfy the employees; however, any decrease will not affect their level of satisfaction. Since, these increase
level of satisfaction in the employees; these can be used in motivating them for higher output.
Herzberg maintains that potency of various factors is not entirely a function of the factors themselves. It is also
influenced by the personality characteristic of the individuals. From this perspective, individuals could be
classified into two segments, motivation seekers and maintenance seekers. The motivation seekers generally are
individuals who are primarily motivated by the ‘satisfiers’ such as advancement, achievement and other
factors associated with work itself. On the other hand, the maintenance seekers tend to be more concerned
with factors surrounding the job such as supervision, working conditions, pay, etc.,
Herzberg concluded that job satisfiers are related to job content and that job dissatisfies are allied to job context.
Herzberg labeled the satisfiers motivators, and he called the ‘dissatisfiers’ as hygiene factors. The term
‘hygiene’ refers (as it does in the health field) to factors that are preventive; in Herzberg’s theory the hygiene
factors are those that prevent dissatisfaction. Taken together, the motivators and the hygiene factors have
become known as Herzberg’s (1959) two-factor theory of motivation or dual-factor theory of job satisfaction.
This theory seems to build on the Maslow’s theory that a satisfied need is no longer a driver. Lack of Job
Satisfaction could be identified as the primary motive explaining employees turn over and can be simply
defined as the feeling employees have about their job. The works around Job Satisfaction predicts that a
satisfied employee will produce more quantitative and qualitative output and will remain close to the
organization and propose reduction of the likelihood of absenteeism and employee turnover.
7. Attrition & Retention: A Predictive Model
Wipro Ltd. Page 7 of 15
A more recent work in this field is Hackman & Oldham’s job characteristic model (1976).
This postulates that there are five core job characteristics (skill variety, task identity, task significance,
autonomy, and feedback) which impact three critical psychological states (experienced meaningfulness,
experienced responsibility for outcomes, and knowledge of the actual results), in turn influencing work
outcomes (job satisfaction, absenteeism, work motivation, etc.). The five core job characteristics can be
combined to form a motivating potential score (MPS) for a job, which can be used as an index of how likely a
job is to affect an employee's attitude and behaviour. The motivating potential score (MPS) can be calculated,
using the core dimensions discussed above, as follows
Jobs that are high in motivating potential must be high on at least one of the three factors that lead to
experienced meaningfulness, and also must be high on both Autonomy and Feedback.[17] If a job has a high
MPS, the job characteristics model predicts that motivation, performance and job satisfaction will be positively
affected and the likelihood of negative outcomes, such as absenteeism and turnover, will be reduced.
Another Dimension to employee turnover can be observed through ASA framework proposed by Schneider
Schneider (1987) asserted that “the people make the place” and that organizational culture, climate and
practices are determined by the people in the organization. This theory is closely related to psychology. This
Schneider (1987) asserted that “the
people make the place” and that
organizational culture, climate and
practices are determined by the people
in the organization. This theory is
closely related to psychology. This
theory is part of the socialization
process, new members in organizations,
according to the framework, fit in a
specific organization.
8. Attrition & Retention: A Predictive Model
Wipro Ltd. Page 8 of 15
theory is part of the socialization process, new members in organizations, according to the framework, fit in a
specific organization.
In an updated ASA frame work in 1995, Schneider mentioned that not only the person is particularly important
in the organizational context and added the dimension that the people are responsible for the structure,
processes and culture of the organization.
According to him, attributes of people, not the nature of external environment, or organizational technology, or
organizational structure, is the fundamental determinant of organizational behaviour’. The people are functions
of an Attraction-Selection-Attrition cycle.
Attraction: People are differentially attracted to careers as a function of their own interests and personality
(Holland, 1985). Other signs of attraction are researched by Tom (1971) and Vroom (1966). They have stated
that people search environments that fit by their personality and that people would like to obtain their outcomes
by selecting a specific organization.
Selection: Organizations select people who they think are compatible for many different kinds of jobs. In that
way organizations end up choosing people who share many common personal attributes, although they may not
share common competencies.
Attrition: The opposite side of attraction. When people do not fit an environment they tend to leave it. When
people leave the environment a more homogenous group stays than those were initially attracted to the
organization.
Implications of the model are:
1) The difficulties of bringing change in organizations: Organizations have great difficulty when trying to
change, because they not contain people with the appropriate inclinations. When the environment changes an
organization will not be aware and probably not be capable of changing.
2) The utility of personality and interest measures for understanding organizational behaviour: It is difficult for
an organization to apply these topics for individual employees, who all have different compatibilities. This
model makes it clear that reaching conclusions for the best structure more information is needed on the kinds of
people working in the organization.
3) The genesis of organizational climate and culture: climate and culture are not easily defined in an
organization, most often they exist when people share a common set of assumptions, values and beliefs.
4) The importance of recruitment: on personnel selection is paid a lot of attention. Surprisingly, on personnel
recruitment, in which way the vacancies are communicated, is not paid much attention.
9. Attrition & Retention: A Predictive Model
Wipro Ltd. Page 9 of 15
5) The need for person-based theories of leadership and job attitudes. The research on this area is depressing
according to Schneider (1987). It is believed that the attitudes of people are created by the conditions of the
work place.
Literatures reviewed to identify the uniqueness of BPO industry. A comprehensive sociological study done on
the BPO industry in 2006 on the BPO employees located in and around Bengaluru, and a similar one done in
2004 covering Noida geographically were closely followed for this purpose and the below findings can be
highlighted in this context.
1. Most of the workforce in the industry is very young, over 80% less than 25 years old.
2. Study showed that the gender ratio is even however another report from NASSCOM states that
industry wise gender ratio is actually reversed as 31 men to 69 women.
3. Most of the workforce are from local lower middle class & middle class urban background and at least
graduates.
4. Fathers of 70% of the employees surveyed were executives or managers in public or private sector,
govt. officers, professionals or in business, 21 % are employed in lower level white collar (clerical) jobs or blue
collar jobs while 9% are self-employed. No one reported agriculture as father’s occupation.
5. 58% of fathers were graduates or above, 38% had completed 12th or 10th, only 1 reported not
completed 10th.
6. Identity of the workforce is more individualistic than collective.
7. Nature of work is more controlled and specific hence creates monotony.
8. Management control over the work and process is pan optical.
All three theories discussed so far form the theoretical frame of reference to explain attrition in this work and
empirical data out of the research works mentioned earlier now reviewed in reference to the theoretical
framework. The outcome was then structured to predict a reliable model to explain attrition from causal
perspective, which can be used as an effective tool to formulate strategies basis the uniqueness of the industry to
tackle the challenge.
Findings:
The research on the leather industry proves that the work motivation theories, Herzberg’s Dual motivation
factor theory in particular, holds valid with moderate changes in the factors (salary found out to be a motivator
and not a hygiene factor). The study on the BPO industry reveals that Job Characteristic model, moderated with
redefined job dimensions to include the extrinsic factors can explain attrition and retention very well when
combined with the personal characteristics. Employee Motivation, Employee Satisfaction, Employee
Involvement & Life Interest and Work Compatibility are the determining factors for prolonged association of an
employee to an organization.
10. Attrition & Retention: A Predictive Model
Wipro Ltd. Page 10 of 15
Some of the interesting facts came out from both the research work are
• Attrition and retention are mutually exclusive, they are not opposite sides of the same coin
• Opposite of Job Satisfaction is No Job Satisfaction
• Opposite of Job Dissatisfaction is No Job Dissatisfaction
• As attrition and retention have separate and discrete set of factors, need is to have two models
explaining attrition & retention exclusively.
Attrition:
A set of eight factors could be identified as causes of attrition, each could be further sub divided.
Low Self Fulfillment, Mystified Career Path & Unfavourable Working Conditions came out to be non-
significant in general. These factors were further tested for demographic variation, although all these factors
proved to be significant some variances with across the demography could be observed as below.
11. Attrition & Retention: A Predictive Model
Wipro Ltd. Page 11 of 15
Low Perceived Value is the most significant sub-factor. It had been observed that the gap between actual level
and expected level of employee motivation is growing at equal pace as the industry.
New employees join the
industry with excitement
(because of high salary &
vibrant work culture) which
results in higher level of
motivation. However this soon
gets faded out and the gap
between actual and expected
level of motivation increases as
the employee spends time in the
industry.
This causes a vicious cycle of
employee turnover. With the
increasing motivational gap,
perceived value even gets
lowered causing and results in
lower efficiency which in turn
makes the employees unable to
deliver and quit the job this
even lower down the perceived
value. This explains why 50%
of the employees who quit,
leave the industry as well. The
low perceived value of these
employees also creates an
attitude of taking the BPO jobs
as stop gap for the future
employees.
12. Attrition & Retention: A Predictive Model
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Retention:
A set of four factors could be identified to be influential to retention, each could be further sub divided.
Employee Motivation, Employee Satisfaction, Employee Involvement & Life Interest and Work Compatibility
are the determining factors for prolonged association of an employee to an organization. These factors were
further tested for demographic variation, although all these factors proved to be significant some variances with
across the demography could be observed as below:
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Basis the above observations a modified version of Hackman & Oldham’s Job Characteristic model can be
build which could act as theoretical frame work on which the basis management tool can be built separately for
attrition & retention factors.
Modified Version of Hackman & Oldham’s Job Characteristic Model:
Basic Model for attrition:
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Basic Model for Retention:
Involvement vs. Intrinsic Motivation: Effect on Employee Retention
In short term, focus should be on conscious retention practices for STRUGGLERS & DISGRUNTLED
quadrants however with the increase of involvement practices eventually all the 4 quadrants will be covered.
ASA frame work proposes that People get ‘Attracted’ to the career as a function of their abilities, interest &
personalities & Organizations ‘Select” basis the Organizational Need. Once selected employees over the time
find themselves either ‘Fit’ in the prevailing organizational culture or ‘Attrite’. This process forms a cohort
group of ‘Fit’ people within the organization. Though communication is easier within this cohort group
however in the long term this group fail to cope up with the external environmental changes and become a
resistance factor for any internal change initiative.
Hence though we could have more predictability on the retention probability of an employee if we try to find
out if the employee would be ‘Fit’ while ‘Selection’, it may, in the long term, adversely impact required
diversity. Hence it is also essential to ensure to have periodical inflow of fresh thoughts and ideas in group of
specific number of people, while planning retention.
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References:
Employee Attrition and Retention: Exploring the Dimensions in the urban centric BPO Industry (Santoshi Sen
Gupta)
Dual Factor Theory of Motivation: A Replication in Indian context (Dr. Mohammed Galib Husain & Dr.
A.Thirupathy)
WORK, CULTURE, AND SOCIALITY IN THE INDIAN IT INDUSTRY: A SOCIOLOGICAL STUDY
(Carol Upadhya & A.R.Vasavi)
ASA FRAMEWORK: AN UPDATE (B. Schneider, H.W.Goldstien & D.Brent Smith)
Do People Make the Place? An Examination of Attraction-Selection-Attrition Hypothesis (Robert.D.Bretz Jr.
Ronald.A.Ash, Gregory F. Dreher)
NASSCOM-EVEREST INDIA BPO STUDY (Roadmap 2012-Capitalizing on the Expanding BPO Landscape)
National IT/ITeS Employability Study (aspiringminds).