a study on employee s absenteeism in spinco

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    PROJECT REPORT ON STUDY OF EMPLOYEES

    ABSENTEEISM

    TABLE OF CONTENT

    CHAPTER TITLE PAGE NO

    LIST OF TABLESLIST OF CHARTS

    I INTRODUCTION

    1.1 Profile of Organization

    1.2 Process of manufacture

    1.3 Organization chart

    1.4 Organization structure

    1

    4

    6

    7

    II REVIEW OF LITERATURE 10

    III OBJECTIVES 25

    IV RESEARCH METHODOLOGY 26

    V DATA ANALYSIS AND INTERPRETATION 33

    VI FINDINGS OF THE STUDY,

    SUGGESTION AND RECOMMENDATIONS

    71

    73

    VII CONCLUSIONS 74

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    VIII LIMITATIONS OF THE STUDY

    SCOPE FOR THE FUTHER STUDY

    75

    76

    APPENDICES

    ANNEXURE-1

    ANNEXURE-2

    77

    81

    ABSTRACT

    The project report entitle A STUDY ON EMPLOYEES ABSENTEEISM IN SPINCO,

    PUDUCHEERY. is intended to determine the employees condition, salary,

    Facilities, attendance program, training programme, motivation techniques and promotions

    To achieve this defined objective structured questionnaire based on the preliminary study

    made is prepared. The prepared questionnaire is used to get the direct responses from the

    employees of spinco, puducherry.

    The response given by the employees of spinco, puducherry analyzed and interpreted

    using different type of statistical tools used are percentage analysis , weighted average method , chi

    square , correlation .

    After analysis and interpretation it reveals the following points are important in improving

    the working condition ,increasing the salary , transport facilities , introduction of attendance

    programme , promotion incentives , increasing leave , welfare facilities , the above all conclusion

    will helpful for management to improve the presenteeism.

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    LIST OF TABLES

    S.no TABLE NAME Page No

    1 Table showing respondents age level 33

    2 Table showing Educational Qualification of the Respondents 34

    3 Table showing respondents experience 35

    4 Table showing number of working days 36

    5 Table showing leave taken in a month 37

    6 Table showing respondents number of working years 38

    7 Table showing respondents on their work load 39

    8 Table showing respondents working hours 40

    9 Table showing respondents management policy 41

    10 Table showing respondents working environment 42

    11 Table showing respondents relation ship with supervisor 43

    12 Table showing respondents their leave will affect company out put 44

    13 Table showing respondents employees skill 45

    14 Table showing respondents salary 46

    15 Table showing respondents compensation provided 47

    16 Table showing respondent existing job 4817 Table showing respondent facilities provided by the company 49

    18 Table showing respondent flexibility and independence 50

    19 Table showing respondent procedure for taking leave 51

    20 Table showing respondent reason for taking leave 52

    21 Table showing respondent absent due to transportation problem 53

    22 Table showing respondent infectious diseases 54

    23 Table showing respondent get leave whenever you want 55

    24 Table showing respondent insufficient rest pause 56

    25 Table showing respondent motivation techniques 57

    26 Table showing respondent personal problem 58

    27 Table showing respondent counseling provided by the company 59

    28Table showing respondent Preference on their shift to reduce

    absenteeism60

    29 Table showing respondent freedom to change shift 61

    30 Table showing respondent need additional leave 62

    31 Table showing respondent excepted facilities provided 63

    32 Table of Respondents Based On The Working Hours - CHI-SQUARE 64

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    33 Computation of Chi-Square 65

    33Affected By Infectious Diseases Vs Leave Affecting The Company

    Output- Correlation66

    34 Ranks for correlation data 66

    35 Salary Paid Vs Absent Due To Transportation- ANOVA 6736 ANOVA Table 68

    37 Weighted Average for Data 69

    38 Point Weightage 69

    LIST OF CHARTS

    S.no CHART NAME Page No

    1 Chart showing respondents age level 33

    2 Chart showing Educational Qualification of the Respondents 34

    3 Chart showing respondents experience 35

    4 Chart showing number of working days 36

    5 Chart showing leave taken in a month 37

    6 Chart showing respondents number of working years 38

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    7 Chart showing respondents on their work load 39

    8 Chart showing respondents working hours 40

    9 Chart showing respondents management policy 41

    10 Chart showing respondents working environment 42

    11 Chart showing respondents relation ship with supervisor 43

    12 Chart showing respondents their leave will affect company out put 4413 Chart showing respondents employees skill 45

    14 Chart showing respondents salary 46

    15 Chart showing respondents compensation provided 47

    16 Chart showing respondent existing job 48

    17 Chart showing respondent facilities provided by the company 49

    18 Chart showing respondent flexibility and independence 50

    19 Chart showing respondent procedure for taking leave 51

    20 Chart showing respondent reason for taking leave 52

    21 Chart showing respondent absent due to transportation problem 53

    22 Chart showing respondent infectious diseases 54

    23 Chart showing respondent get leave whenever you want 5524 Chart showing respondent insufficient rest pause 56

    25 Chart showing respondent motivation techniques 57

    26 Chart showing respondent personal problem 58

    27 Chart showing respondent counseling provided by the company 59

    28Chart showing respondent Preference on their shift to reduce

    absenteeism60

    29 Chart showing respondent freedom to change shift 61

    30 Chart showing respondent need additional leave 62

    31 Chart showing respondent excepted facilities provided 63

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    CHAPTER-I

    INTRODUCTION

    1.1 PROFILE OF THE ORGANISATION

    1.1.1 GROWTH OF TEXTILE INDUSTRY

    The birth of cotton textile industry can be traced back to the year 1818, when for the first

    time a mill was started in Calcutta. But its real foundation was laid in Bombay with a mill set up in

    1853 under PARSI Management. Early years marked a rapid progress and number of cotton mil1s

    increased up In Ahemedabad, Sholapur and Nagpur. In 1951 the total number of mills in this

    Industry was only 378 of which 103 where spinning and 275 were composite Mills.

    The number of cotton textile mill increased to 1051 in 1990; of this 770 were spinning mills

    and 281 composite mills. The total investment in the fixed assets is 1300 crores. It contributes for

    about 25% of total exports. In puducherry, the first spinning mill which started its operation be

    Desbarsyns de Richement', Governor of French rule at that time in 1827 on the western style. In

    1828 Blin and Delbruck are businessmen of France have stared another spinning mill in

    PuduCherry with a production capacity ofabout700 Kg per day, and provided employment for 225

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    workers. Thus the organized mill sector provides employment to more than one million people in

    the country and about l/5th of the total employed in manufacturing industry. Its contribution of

    government revenue and to export earnings is substantial.

    1.1.2 HISTORY OF THE MILL

    The Pondicherry Co-operative Spinning Mills was registered as cooperative Society under

    the Pondicherry co-operative societies Act 1972 during the year 1979. This spinning mill is the first

    type of its kind in its venture in the union territory of Pondicherry. The society has been registered

    on 28-12-1979, the actual functioning commenced in the year 1984. The factory is situated 22 Kms

    away from Pondicherry in the National Highways 45-A, between Pondicherry and Villupuram in

    the Village Thirubuvanai.

    The foundation stone for the Mill was laid on 10.08.1981 by the then Chief Minister of

    Pondicherry and the factory was inaugurated by the then his.Excellency T.P. Twari, Lt. Governor

    of Pondicherry on 16.11.1984. The trial production was made on 12.2.1984 and the Commercial

    production was started on 19.3.84. The mills Spindale was 25080 only. The Mill has achieved its

    full spinning capacity in the year 1987.

    1.1.3 MEMBERSHIP

    The Mill was started with 138. Members with a share capital ofRs.79, 9001akhs- at the

    beginning and at Present there are 815 members with a share capital of Rs .689.31lakhs comprising

    as the following.

    Particular Membership Share Capital (in lakhs)

    "A" Handloom weavers co-op

    Societies 14 4.45

    .

    "B" Other Co-operative

    Societies 69 3.72

    "C" Individuals 731 6.64

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    "D" Government of Pondicherry 1 674.50

    815 689.31

    1.1.4 AWARDS COMPLEMENTED BY THE AIFCOSPIN

    Among all the co-operatives in India, the Pondicherry Co-operative Spinning Mills has been

    identified as No.1 Mill for its profitability, Machine productivity, Net profit and Labour

    productivity. The Position placed by the Mill from 1987-88 to 1990-91 is detailed below:

    1.1.5 AIFCOSPIN - All India Federation for Co-operative Spinning Mill- Bombay,

    It has awarded many awards. The position placed by the mill from 1987-88 to 90-91

    Year Selection Criteria Position

    1987-88 Spindle Profit I

    1988-89 Spindle Profit . I

    1989-90Spindle Profit I

    Machine Productivity II

    Productivity per Spindle Shift III

    1990-91 Spindle Profit I

    Cash gain per spindle II

    Machine Productivity II

    Labour Productivity III

    1.1.6 EXPANSION PROGRAMME

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    The licensed capacity of the Mill is 39, 192-spindle unit. The installed capacity is 35,160

    spindles with an average count of 40's to 6s. By the year2001, the remaining capacity of 4,032

    spindles will be erected.

    1.2 PROCESS OF MANUFACTURING

    The Pondicherry co-operative spinning mills ltd is processing with its licensed capacity

    1.2.1 SPINNING

    The process of spinning starts with ginning. Ginning is process by which Seeds are

    removed from the raw cotton. In this mill, the ginned cotton is directly purchased and so that the

    ginning is not carried on and the remaining .Process is followed as usual.

    MIXING AND BLOW ROOM

    Raw cotton is received at the mill in highly compressed bales. Bales of different varieties

    are opened at time and layer of cotton from each bale is fed alternatively, into the machine with a

    view to obtain uniform blend. It is cleaned in blow room line.

    CARDING

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    The blow room lap is fed into carding machine. The cotton is subject to the action of sharp

    wire points of licker cylinder, doffer and flatter resulting in 'the further removal of neps and waste.

    After processing in, comes out in the cane.

    DRAWING

    On the drawing frame, a uniform sliver lab is produced- by 6 to 8 card sliver and drafting

    them proportionately. Here parallelization of fibers is achieved and this process is repeated twice

    for carded yam and the sliver lab is then fed to the speed frame.

    SPEED FRAMES

    This term' Speed frames' is used to designate a group of machines in which cotton in the

    form of drawing sliver is reduced to a much smaller size by drafting and a slight twist.

    RING FRAMES

    The final yarn is spun on ring frames by drafting and twisting the rove from the speed

    frames. The drafts and twist .varies depending on the count and quality of yarn required.

    DOUBLING

    Generally two yarn threads are sending parallel on single cone on a doublers winding

    machine. Thereafter such yarn is twisted together on a ring doubling machine to form a double

    yarn.

    1.2.2 BUSINESS

    The mill shall purchase the cotton required by spinning.

    The mill shall produce such kinds of cotton yarn and staple fiber yarn as are required by the

    weaving units, by the weavers in union territory of Pondicherry and by others.

    The yarn required by the Pondicherry state weavers co-operative societies and other

    primary weavers co-operative societies shall ordinarily be supplied by the mills.

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    The Board of director may appoint necessary agent brokers etc on such terms and may be

    agreed upon for canvassing order.

    1.2.3 FUNCTION OF THE MILL

    The Pondicherry co-operative spinning mill is running with 3shifts. The production process is

    non stop. The first shift timing is from 7 00A.M. to 3.30 P.M., The second shift is from 3.30

    P.M .to 12.00MID NIGHT .And the third shift is from 12 MID NIGHT to 7.00 A.M. with a half

    -an- hour break for workers but not for production .Nearly 630 workers are working in the mill.

    1.2.4 MANAGEMENT

    Pondicherry co-operative spinning mills ltd is governed by law and it is managed by

    an Administrator, who is I.A.S.officer and he is appointed by the Government of Pondicherry.

    1.3 ORGANISATION CHART

    ADMINSTRATOR

    Managing Director

    Administration

    & Finance

    Production

    Wing

    LabourOfficer

    Admn. Manager Controller ofAccounts

    Asst. SpinningMaster

    (Maintenance)

    Asst SpinningMaster. (Qlty.

    control)

    Elec. Enginee

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    Clerks Clerks Supervisor for

    Prodn &Maintenance

    Quality Control wing Engineering

    wing

    Masteries &Workers

    1.4 ORGANISATION STRUCTURE

    The organizational functions of the mill is divided into five namely,

    Production wing

    Quality control wing

    Engineering wing

    Maintenance wing

    Accounts and finance wing.

    Administration wing

    1.4.1 PRODUCTION WING

    The major activity concerned in the mill is production of yarn from raw Cotton. In this mill,

    the machineries and materials are equipped to produce yarn from the count range 305 to 1005. The

    Asst. Spinning Master (Maintenance & production) is in charge for the production wing. The

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    supervisors in the production will look after the process of production in different stages. 6 staffs

    and 540 workers are working in production wing.

    1.4.2 QUALITY CONTROL WING

    The main responsibility of this wing is to check the quality of yarn and quality of raw

    materials. Asst. Spinning Master (Quality Control) is in charge for this wing. All the incoming raw

    materials and outgoing yarn are checked in quality point of view. In this wing, nearly 10 staffs are

    working.

    1.4.3 ENGINEERING WING

    This wing takes care of all electrical equipments and fittings in the organization. It also

    takes all preventive measures. An Electrical Engineer heads this wing. A group of 21 workers are

    worked in this department under the control of the Electrical Engineer

    1.4.4 MAINTENANCE WING

    This wing is functioning under the head of Asst. Spinning Master (maintenance). This wing

    is taking care of maintenance of all machineries in the mills. This will take measures to maintain

    the machinery in good working condition. One staff and 68 workers are functioning in this wing.

    1.4.5 ACCOUNTS AND FINANCE WING

    The finance and accounts wing is playing an important role in this organization. This wing

    maintains a systematic record of the daily events of business. It also maintains records of all

    financial transactions to find out the profit or loss during the year, and to know the correct financial

    status of the mill. All payments and receipts are taken care by this wing. The controller of accounts

    heads this department and three staffs are working in this department

    1.4.6 ADMINISTARATION WING

    Administrative manager is in charge for administrative wing. This department carries on

    purchases, sales stores and other administrative functions 31 staff are working in the wing

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    All the department (wings)are under the direct control and supervision of the Managing

    director .the administrative manager and concerned department head shall be consulted by the

    Managing director in all matters , where ever and when ever deemed necessary and their comment

    shall be consider while framing a policy decision.

    NEED FOR THE STUDY

    The success of any manufacturing organization depends largely on the workers, the

    employees are considered as the backbone of The Pondicherry Co- Operative Spinning Mill

    Ltd, Puducherry

    The study is on employee absenteeism in SPINCO

    The employee absenteeism is booming HR issue in many industries .It helps to know the

    employee satisfactions level and it help to find cause of employee absenteeism, based on

    certain factor like working condition, leadership style, work stress, leave days, and salary

    level.

    This study can be helpful to the management to improve its core weaknesses by the

    suggestions and recommendations prescribed in the project.

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    The need of this study can be recognized when the result of the related study need

    suggestions and recommendations to the similar situation.

    CHAPTER-II

    REVIEW OF LITERATURE

    Absenteeism is a habitual pattern of absence from a duty or obligation. An absence refers to

    time an employee is not on the job during scheduled working hours, except for a granted leave of

    absence, holiday, or vacation time. However, employee absenteeism is not just an employee issue it

    is an organizational problem and therefore becomes everyone's responsibility.

    2.1 Says FRANCES DAVIES

    Absenteeism can have an enormous effect on the productivity of an organization. The

    average American worker takes six days sick leave a year, and although this is significantly less

    than in places such as Europe it is still having a big impact on US staffing resources and

    productivity. The loss of productivity due to short/long-term illness, disability is therefore proving

    to be a major headache for companies. Effective absence management programs can be the best

    remedy for reducing absenteeism.

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    Every time an employee is absent from work there is a loss of productivity to the

    organization, explains Sharon Kaleta, President and CEO of the Disability Management

    Employers Coalition (DMEC). One person absent from work may not create a problem, but

    several people absent for one or more days can have a significant financial impact to the

    organization.

    IMPACT OF ABSENTEEISM

    There are many forms of absenteeism, ranging from short-term illness, long-term illness,

    unauthorized absence and persistent lateness, to other authorized absences such as annual leave,

    paternity leave, time off to care for dependents and compassionate leave. Other causes might also

    include low morale, stress and poor working conditions, many of which are preventable.

    The effect absenteeism can have on a business can be wide-ranging, but particularly affects

    those employees left to pick up the pieces. According to Wayne Wendling, Senior Director of

    Research at the International Foundation of Employee Benefit Plans.

    The workings of a company have changed and employees are now much more

    interconnected than previously and, as a result, organizations are much more dependent on their

    employees.

    When someone is absent, the entire web of interaction among employees can be disturbed

    in terms of workflows and the availability of information, he explains. Part of that is overcome as

    more files are now open to people who can fill in and help with the tasks that the individual may

    have been performing. However, there is a definite ripple effect through the organization when

    someone is unexpectedly ill. The productivity of others is also being impacted.

    WORKING WELL

    There are many measures that an employer can take to help mitigate the rippling effects of

    absenteeism on the workforce. Sometimes it really is the little things that make the most difference.

    Allowing employees to visit doctors and dentists, health surveillance, health education and stress

    management interventions are all good examples. Once they are measuring absence and then

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    reducing it, they will find that a fitter workforce will perform better and productivity will increase

    giving them a competitive edge in any business environment, enthuses Bawden.

    One of the most effective ways to combat absenteeism, however, is to maintain a happy

    working environment where people actually enjoy coming to work. Have a workplace that people

    love to come to work in and they feel they are doing something meaningful, Wendling

    recommends.

    Although not always preventable, absenteeism is something that can be mitigated to a

    certain degree, and absence management programs can definitely help. Fostering a caring working

    environment where workers are supported during any illness or disability can only work in the

    favor of the company and ensures that work isnt something for employees to be sick of.

    Report Author: ANNE COUGHLAN

    Senior Research Executive, IBEC Research and Information Service

    IBEC WORKPLACE ABSENCE SURVEY 2004

    The report contains data from the IBEC WORKPLACE ABSENCE SURVEY 2004,

    which was based on responses received from 557 private sector companies employing 147,000employees.

    Absence affects more than just the person who is absent.

    The absent employees themselves and their dependants may have a reduced income as a

    result of absence, besides incurring possible additional medical expenses. Employers are affected

    by direct costs such as sick pay, overtime and staff replacement costs, plus the indirect costs

    associated with the effects of absence on, for example, production and quality, management time

    and the potential loss of customers. The co-workers of an absent employee may have to work under

    increased pressure,in order to meet deadlines.

    Many organizations appear to accept a certain level of absence i.e. where a proportion of

    their employees are away on any particular day. The recent IBEC study found that over half of the

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    respondents did not consider they had a problem with absence. However, more than four out of ten

    companies in the survey considered their absence levels to be a cause for concern. As only a

    portion of absence days are subject to organization control it is important to determine what

    portion of employee absence is avoidable.

    Employees can feel they have been treated unfairly when they perceive other absent

    employees as getting away with it. Absence can also be a symptom of a more serious underlying

    problem, such as bullying and/or harassment, communication breakdown, stress, etc., which could,

    if not investigated, lead to significant costs to the organization, as well as causing long-term

    damage to the employee.

    A recent IBEC surveyshowed that personal problems were cited as a cause of absence in a

    significant number of companies, for both males and females. Nowadays, apart from sickness,

    employees can be absent from work for any one of a number of reasons, either under statutory

    leave entitlement (such as annual leave, maternity or adoptive leave, parental leave), or under

    arrangements agreed at an individual company level (such as compassionate or bereavement leave,

    study and/or exam leave, marriage leave, training, etc.).

    2.2 HOW TO DEAL WITH EMPLOYEE ABSENTEEISM

    For Employees Who Are Absent

    For Supervisors/Managers:

    Recently, I was asked by a manager how he should deal with the fact that on any given day

    10% of his employees are absent from work. I informed the manager that the problem of employee

    absenteeism is a problem best resolved by taking the following four positive interventions versus

    taking a negative or punitive approach.

    http://www.employer-employee.com/absent.html#Employeehttp://www.employer-employee.com/absent.html#Employee
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    Change Management Style:

    We are all aware of the fact that when employees call in ill, it does not mean they are truly

    too physically ill to work. One reason, outside of illness, that employees are absent is stress, and the

    number one reason employees are stressed has to do with their relationship with their

    manager/supervisor.

    Management styles that are too authoritarian tend to promote high levels of absenteeism

    among employees. Authoritarian managers are managers who have poor listening skills, set

    unreachable goals, have poor communication skills, and are inflexible. In other words, they yell too

    much, blame others for problems, and make others feel that it must be their way or the "highway."

    Authoritarian managers tend to produce high absenteeism rates. By identifying managers who use

    an authoritarian style, and providing them with management training, you will be taking a positive

    step not only toward reducing absenteeism, but also reducing turnover, job burnout, and employee

    health problems such as backaches and headaches.

    Change Working Conditions:

    The employees in your company probably work in a well-lighted climate controlled

    building. The working conditions I am referring to relate to coworker relationships. Not only does

    relationship stress occur between the employee and manager, but it also exists between employees.

    Frequently I hear employees say they did not go to work because they are fearful of or angry with

    another employee. These employees usually report they just could not deal with "so and so" today, so

    they called in ill. Companies that adopted policies and values that promote employee respect and

    professionalism, and promote an internal conflict resolution procedure, are companies that reduce

    employee stress. A reduction in employee stress reduces employee absenteeism.

    Provide Incentives:

    Giving employees incentives for reduced absenteeism is not the same as rewarding or giving

    employees bonuses for reduced absenteeism. An incentive provides an employee with a boost to

    their motivation to avoid unnecessary absenteeism. It simply helps the employee decide to go to

    work versus staying home and watching Jerry Springer.

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    The types of incentive programs used by companies are numerous. Some companies allow

    employees to cash-in unused sick days at the end of every quarter, others give an employee two

    hours of bonus pay for every month of perfect attendance; and still others provide employees with a

    buffet lunch, a certificate of achievement, or even a scratch-off card concealing prizes. The type of

    incentive program that your company uses should be one created especially for your company. You

    can create an incentive program tailored to your unique company by allowing employees to help

    you develop the incentive program.

    The duration of the incentive program is also very important. Some companies find that

    they can simply reward employees with perfect attendance once a year, while others decide once a

    month is best, and still others decide once a week works best.

    Develop an Attendance Policy:

    Every company should have an attendance policy. An attendance policy allows a manager to

    intervene with an employee who is frequently absent. Besides stress as a primary reason for

    employee absenteeism, other causes relate to alcoholism, domestic violence, and family problems. If

    you confront an employee about his or her frequent absenteeism, and they inform you it is due to

    personal problems, consider referring the employee to an Employee Assistance Program (EAP).

    If the employee's absenteeism relates to a medical problem or a family member with a

    medical problem, you may have to consider allowing the employee to use the benefits allowed to

    them under the American's with Disability Act (ADA) or the Family and Medical Leave Act

    (FMLA). Early identification of these employees will get them back to work as fast as possible.

    Lastly, make sure that you have an attorney review your attendance policy to make sure it does not

    violate any State or Federal labor laws. By incorporating the above four strategies into your

    company you will not only reduce absenteeism you will reduce employee burnout, turnover, poor

    morale, and workplace negativism.

    By

    GARY VIKESLAND, MA LP CEAP

    For Employees Who Are Frequently Absent

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    One of the most important steps you can take if you are frequently absent is to keep your

    employer informed. Employees who are frequently absent without good cause are generally absent

    due to numerous frivolous reasons. Employees who are absent for good cause have legitimate

    reasons, e.g. sickness or family member illness, and the employee needs time off to resolve their

    personal problems. Most employers generally understand the need to be gone from work due to a

    legitimate reason; therefore, it is important to communicate clearly and accurately so your

    employer does not assume you are out for frivolous reasons.

    As an employee you are allowed to take up to 12 weeks of unpaid leave under the federal

    Family and Medical Leave Act (FMLA). The 12 weeks of leave may be taken continuous or

    intermittently, thereby allowing the employee to work on a less than full-time schedule.

    FMLA can be used for the care of a child after birth, adoption, or foster care placement.

    FMLA is available to care for an immediate family member (spouse, child, and parent) who has

    a serious health condition.

    FMLA can be used for your own serious health concerns. It does not cover for the common

    cold, flu, ear aches, upset stomach, common headache, or routine dental care.

    In order to be covered by FMLA you must be considered an "eligible" employee. An

    eligible employee must have 12 months (1,250 hours) of employment, and your employer must

    employ 50 or more employees within 75 miles of the worksite. Employees must provide 30 days of

    advance notice for foreseeable events. There are different exemptions present for both school

    teachers and state/local government employees.

    If you are an eligible employee, your employer must maintain your benefits, allow you to

    return to the same or equivalent position, and not decrease your pay or benefits at the conclusion of

    12 weeks. If you believe you are eligible for FMLA, inform your supervisor or HR department that

    you are requesting FMLA coverage. Your employer is required to provide you with written notice,

    within two business days, informing you if you are eligible or not.

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    The next step would be to build employee's trust. As an employer if you have taken efforts

    to choose the right candidates for the job, then it is equally important that you believe in them and

    trust them to do their job. This trust, though, has to be communicated to the employees.

    If the employer believes that the employees cannot do their jobs well, cannot take decisions

    on their own and do not do a fair day's work then this is what they will actually do. On the contrary,

    if the manager's perception of employees is that they are efficient workers, independent thinkers

    and able decision makers, then they will go to any extent to prove it.

    The most important step to counter absenteeism is for the manager to constantly give the

    employees feedback and motivate them to perform better. But most are woefully lacking in this

    ability, they simply are not comfortable telling their staff about their performance.

    So it is important that managers provide feedback to employees on a regular basis on what

    they are doing well and the areas of improvement. If you notice something that requires mention

    tell the employee about it and tell it immediately lest the significance of the feedback should be

    lost.

    If you postpone your feedback on things the employee is not doing rightthen it will be

    assumed what is being done is right or that you do not notice such things or you do not care. Some

    more tips on giving the right kind of feedback:

    Do it in private, on a one-to one basis

    Focus your feedback on one or two things

    Do not personally attack the employee

    Be honest and prompt with feedback

    Reducing employee absenteeism is in the employer's hands. If the staff has to be motivated

    enough to think twice about taking a day off, their work has to be made interesting. In short, they

    need regular feedback and be made to feel that they play an important part in the business.

    This can be done by giving the employees greater responsibility, training and developing

    their skills and focusing on what they are doing right. Involving employees both formally and

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    informally in the aspects of the business will create a sense of belonging. These measures make

    employees feel good about what they are doing and thus increase job satisfaction. Organizations

    would be prudent if they tackle absenteeism before it becomes a contagion.

    Title: LABOUR ABSENTEEISM

    Author(s): Michael J. Peel, Nick Wilson

    Journal: International Journal of Manpower

    Year: 1990

    Publisher: MCB UP Ltd

    Abstract: Using a random sample of 49 UK engineering companies, the influence of profit

    sharing, share-option schemes and the perceived degree of employee participation in decision

    making on inter-firm lab our absenteeism rates are investigated. After controlling for a number of

    firm-specific factors, suggested as theoretically appropriate in the extant literature, the key

    empirical results indicated that firms which had adopted sharing schemes appeared to experience

    significantly lower absenteeism rates than their non-sharing counterparts..

    2.4 GUIDELINES FOR ABSENTEEISM CONTROLThere are two types of absenteeism, each of which requires a different type of approach.

    2.4.1 INNOCENT ABSENTEEISM

    Innocent absenteeism refers to employees who are absent for reasons beyond their control;

    like sickness and injury. Innocent absenteeism is not culpable which means that it is blameless. In a

    lab our relations context this means that it cannot be remedied or treated by disciplinary measures.

    2.4.2 CULPABLE ABSENTEEISM

    Culpable absenteeism refers to employees who are absent without authorization for reasons

    which are within their control. For instance , an employee who is on sick leave even though he/she

    is not sick, and it can be proven that the employee was not sick, is guilty of culpable absenteeism.

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    To be culpable is to be blameworthy. In a lab our relations context this means that progressive

    discipline can be applied.

    For the large majority of employees, absenteeism is legitimate, innocent absenteeism which

    occurs infrequently. Procedures for disciplinary action apply only to culpable absenteeism. Many

    organizations take the view that through the process of individual absentee counseling and

    treatment, the majority of employees will overcome their problems and return to an acceptable

    level of regular attendance.

    2.4.3 IDENTIFYING EXCESSIVE ABSENTEEISM

    Attendance records should be reviewed regularly to be sure that an employee's sick-leave

    days are excessive compared to other employees. If a supervisor suspects that an employee is

    excessively absent, this can be confirmed through reviewing the attendance records.

    If all indications show that an employee is excessively absent, the next step is to gather as

    much information as possible in order to get a clearer picture of the situation. The employees' files

    should be reviewed and the employees immediate supervisor should document all available

    information on the particular employee's history.

    2.4.4 INDIVIDUAL COMMUNICATION

    After all available information has been gathered, the administrator or supervisor should

    individually meet with each employee whom has been identified as having higher than average or

    questionable (or pattern) absences. This first meeting should be used to bring concerns regarding

    attendance to the employee's attention. It is also an opportunity to discuss with the employee, in

    some depth, the causes of his or her attendance problem and possible steps he or she can take to

    remedy or control the absences. Listen carefully to the employee's responses.

    2.4.5 PROOF OF ILLNESS

    Sometimes it is helpful in counseling employees with excessive innocent or culpable

    absenteeism to inquire or verify the nature and reasons of their absence.

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    The extent to which an employer may inquire into the nature of and reasons for an employee's

    absence from the workplace is a delicate issue. The concepts of an employee's privacy and an

    employer's need for information affecting the workplace often come into conflict. Seldom is the

    conflict more difficult to resolve than where personal medical information is involved.

    Unions will often strongly object to any efforts by management to inquire more deeply into the

    nature of an employee's illness. You will need to consider the restraints of any language in

    collective agreements in relation to this issue.

    2.5 COUNSELING INNOCENT ABSENTEEISM

    The procedure an employer may take for innocent absenteeism is as follows:

    1. Initial counseling(s)

    2. Written counseling(s)

    3. Reduction(s) of hours and/or job reclassification

    4. Discharge

    2.5.1 Initial Counseling:

    If the absences are intermittent, meet with the employee each time he/she returns to work. If

    absence is prolonged, keep in touch with the employee regularly and stay updated on the status of

    his/her condition. (Indicate your willingness to assist.)

    You may require the employee to provide you with regular medical assessments. This will

    enable you to judge whether or not there is any likelihood of the employee providing regular

    attendance in future. Regular medical assessments will also give you an idea of what steps the

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    4. Has the employer attempted to accommodate the employee by offering a more suitable

    position (if available) or a reduction of hours?

    5. Has enough time elapsed to allow for every possible chance of recovery?

    Corrective Action for Culpable Absenteeism

    As already indicated, culpable absenteeism consists of absences where it can be

    demonstrated that the employee is not actually ill and is able to improve his/her attendance.

    Presuming you have communicated attendance expectations generally, have identified the

    employee as a problem, have met with him/her as part of your attendance program, made your

    concerns on his specific absenteeism known and have offered counselling as appropriate, with no

    improvement despite your positive efforts, disciplinary procedures may be appropriate.

    The procedures for corrective/progressive discipline for culpable absenteeism are generally the

    same as for other progressive discipline problems. The discipline should not be prejudicial in any

    way.

    The general procedure is as follows: [Utilizing counseling memorandum]

    1. Initial Warning(s)

    2. Written Warning(s)

    3. Suspension(s)

    4. Dismissal

    Verbal Warning

    Formally meet with the employee and explain that income protection is to be used only when an

    employee is legitimately ill. Advise the employee that his/her attendance record must improve and

    be maintained at an improved level or further disciplinary action will result. Offer any counseling

    or guidance as is appropriate. Give further verbal warnings as required. Review the employee's

    income protection records at regular intervals. Where a marked improvement has been shown,

    commend the employee. Where there is no improvement a written warning should be issued.

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    Written Warning

    Interview the employee again. Show him/her the statistics and point out that there has been no

    noticeable (or sufficient) improvement. Listen to the employee to see if there is a valid reason and

    offer any assistance you can. If no satisfactory explanation is given, advise the employee that

    he/she will be given a written warning. Be specific in your discussion with him/her and in the

    counseling memorandum as to the type of action to be taken and when it will be taken if the record

    does not improve. As soon as possible after this meeting provide the employee personally with the

    written warning and place a copy of his/her file. The written warning should identify any noticeable

    pattern

    Suspension (only after consultation with the appropriate superiors)

    If the problem of culpable absenteeism persists, following the next interview period and

    immediately following an absence, the employee should be interviewed and advised that he/she is

    to be suspended.

    The length of the suspension will depend again on the severity of the problem, the

    credibility of the employee's explanation, the employee's general work performance and length

    of service. Subsequent suspensions are optional depending on the above condition.

    Dismissal (only after consultation with the appropriate superiors)

    Dismissals should only be considered when all of the above conditions and procedures have been

    met. The employee, upon displaying no satisfactory improvement, would be dismissed on the

    grounds of his/her unwillingness to correct his/her absence

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    CHAPTER-III

    OBJECTIVES OF THE STUDY

    The main objective of the study is to find the various studies on absenteeism of man hour

    and suggestion to reduce absenteeism.

    To analyze the master attendance and to find the rate of absenteeism.

    To improve the production level by reducing absenteeism.

    To find the reason for major absenteeism in particular department.

    To suggest controlling tools to reduce absenteeism.

    To find out the reason for avoidable and unavoidable absenteeism.

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    Why is the study being made?

    Where will the study be carried out?

    What type of data is required?

    Where can the data are found?

    What periods of time will the study include?

    What will be the sample design?

    How will the data be analyzed?

    In what style will the report be prepared?

    What techniques of data collection will be used?

    The Research Design undertaken for the study is Descriptive one. A study, whichwants to portray the characteristics of a group or individuals or situation, is known as Descriptive

    study. It is mostly qualitative in nature.

    4.2 TYPES OF DATA COLLECTED

    Primary Data

    Questionnaires are prepared and personal interview was conducted. Most of the

    questions are consist of multiple choices. The structured interview method was undertaken. The

    interview was conducted in English as well as in Tamil. Proper care was taken to frame the

    interview schedule in such a manner it should be easily understood in view of educational level of

    the employees. Generally 25 questions are prepared and asked to the employees of the Pondicherry

    Co-operative Spinning Mill Public Ltd., Puducherry.

    Secondary Data

    Secondary data was collected from Internets, various books, Journals, and Company

    Records.

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    4.3 QUESTIONNAIRE CONSTRUCTION

    Questionnaires were constructed based on the following types

    Open ended questions

    Close ended questions

    Multiple choice questions

    4.4 DEFINING THE POPULATIONS

    The Population or Universe can be Finite or infinite. The population is said to be finite if it

    consist of a fixed number of elements so that it is possible to enumerate it in its totality. So In this

    projects consist of finite population. nearly 630 workers working in the mill

    4.5 SAMPLING PLAN

    A sampling plan is a definite design for obtaining a sample from the sampling frame. It

    refers to the technique or the procedure the researcher would adopt in selecting some sampling

    units from which inferences about the population is drawn. Sampling design is determined before

    any data are collected.

    Convenient Sampling technique was adopted. In this method the researcher select those

    units of the population in the sample, which appear convenient to him or the management of the

    organization where he is conducting research.

    4.6 SAMPLE SIZE

    Nearly 50 samples are taken in Pondicherry Co-operative Spinning Mill Public Ltd..,

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    4.7 FIELD WORK

    The field works is done at Pondicherry Co-operative Spinning Mill Public Ltd.,

    Thirubuvanai, Puducherry.

    4.8 PERIOD OF SURVEY

    The period is from July 2007 to August 2007.

    4.9 DESCRIPTION OF STATISTICAL TOOLS USED

    Percentage method

    Chi-square test

    Correlation

    Weighted average method

    Analysis of variance (TWO-WAY ANOVA)

    4.9.1 PERCENTAGE METHOD

    In this project Percentage method test was used. The percentage method is used to know

    the accurate percentages of the data we took, it is easy to graph out through the percentages. The

    following are the formula

    No of RespondentPercentage of Respondent = x 100

    Total no. of Respondents

    From the above formula, we can get percentages of the data given by the respondents.

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    4.9.2 CHI-SQUARE ANALYSIS

    In this project chi-square test was used. This is an analysis of technique which analyzed the

    stated data in the project. It analysis the assumed data and calculated in the study. The Chi-square

    test is an important test amongst the several tests of significant developed by statistical. Chi-square,

    symbolically written as x2 (Pronounce as Ki-Spare), is a statistical measure used in the context of

    sampling analysis for comparing a variance to a theoretical variance.

    Formula

    (O-E)2

    2 =

    E

    O = Observed frequency

    E = Expected frequency

    4.9.3 CORRELATION

    Correlation analysis deals with the association between two or more variables. It

    does not tell anything about cause and effect relationship. Correlation is classified in two

    types as

    Positive and

    Negative correlation.

    SPEARMAN Correlation method, it also can be said as Rank Correlation. It is

    defined by the symbol r

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    6 di

    FORMULA r = 1- ______________

    n (n-1)

    Correlation value shall always lie between +1 and-1. When r =1, it shows there is perfect

    positive correlation between variables. When r = 0, There is no correlation.

    4.9.4 WEIGHTED AVERAGE METHOD

    Weighted average can be defined as an average whose component items are multiplied by

    certain values (weights) and the aggregate of the products are divided by the total of

    weights.

    One of the limitations of simple arithmetic mean is that it gives equal importance to all the

    items of the distribution.

    Certain cases relative importance of all the items in the distribution is not the same. Where

    the importance of the items varies.

    It is essential to allocate weight applied but may vary in different cases. Thus weightage is a

    number standing for the relative importance of the items.

    4.9.5 ANALYSIS OF VARIANCE (ANOVA)

    Analysis of variance is an extremely useful technique concerning research. This is used

    when multi sample are involved.

    Anova is extremely a procedure for testing the difference among different groups of data

    for homogeneity. The essence of ANOVA is that the total amount of variation in a set of data is

    broken down into two types such as

    ONE-WAY ANOVA

    TWO-WAY ANOVA

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    If we take only one factor and investigate the differences amongst its various categories

    having numerous possible values one-way anova can be used. When we investigate two factors at

    the same time then we can use two-way anova.

    Steps involved in ANOVA are

    1. Name of the Row samples as x1, x2, x3, x4

    2. Name of the Column samples as y1, y2, y3, y4

    3. Calculate the sum of all items by T = x1 + x2 + x3.

    4. Correction factor CF = T

    N

    5. Calculate Total sum of squares SST = x1 + x2 + x3.

    6. Sum of squares between column samples SSC = ( y1) + ( y2) + ( y3) T

    n n n N

    7. Sum of squares between column samples SSR = ( x1) + ( x2) + ( x3) T

    n n n N

    8. Calculating Residual or Error SSE = [ SST- (SSC+SSR) ]

    The basic principle of the Anova is to test for differences amongst the means of the

    population by examine the amount of variation within the samples, relation to the amount of

    variation between the samples.

    TWO-WAY ANOVA TABLE

    SOURCE OFVARIATION

    Sum of SquaresDegrees of

    Freedom (d.f)Mean Square (MS) F-ratio

    Between

    Columns

    Treatment

    SSC V1SSC

    MSC =

    K-1

    MSC

    F1 =

    MSE

    Between

    SSR V2

    SSR

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    Rows

    Treatment

    MSR =

    R-1 MSR

    F2 =MSEResidual or

    Error

    SSE (K-1) (R-1)SSE

    MSE =(K-1) (R-1)

    If the calculated value (C.V) of F1 < tabulated value (T.V) of F1 then H0 is ACCEPTED.

    If the calculated value (C.V) of F1 > tabulated value (T.V) of F1 then H0 is REJECTED.

    CHAPTER-V

    ANALYSIS AND INTREPRETATION

    5.1 ANALYSIS USING PERCENTAGE METHOD

    TABLE 5.1.1

    RESPONDENT BASED ON AGELEVEL

    S.No Age No. of Respondents Percentage

    1 18-25 04 08

    2 26-35 18 36

    3 36-45 22 44

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    4 Above 45 06 12

    Total 50 100Source: primary data

    Inference:

    The above table infers that, 08 % belongs to the age group of 18-25 years, 36 % belongs to

    the age group of 26-35 years, 44 % belongs to the age group of 36-45 years and 12 % belongs to

    the age group of above 45 year

    CHART-5.1.1

    AGE

    AGE

    above4536-4526-3518-25

    Percent

    50

    40

    30

    20

    10

    0

    TABLE 5.1.2

    RESPONDENTS BASED ON THEIREDUCATION

    S.No Education No. of Respondents Percentage

    1 SSLC 10 20

    2 HSC 22 44

    3 ITI 18 36

    4 Others 00 00

    Total 50 100 Source: primary data

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    Inference:

    The above table infers that,

    20 %belongs to SSLC, 44 % belongs to HSC, 36 %belongs to ITI and

    0 % belongs to other degrees.

    CHART-5.1.2

    EDUCATION

    EDUCATION

    itihscsslc

    Percent

    50

    40

    30

    20

    10

    0

    TABLE 5.1.3

    RESPONDENTS BASED ON THEIR EXPERIENCE

    S.No Experience No. of Respondents Percentage

    1 Below2years 11 22

    2 3-5 years 07 14

    3 Above 5 years 32 64

    Total

    50 100

    Source: primary data

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    Inference:

    The above table infers that

    22 % to below 2 years; 14 % belongs to 3-5years, 64 %belongs to above 5 years

    CHART-5.1.3

    EXPERIENCE

    EXPERIENCE

    above 5 years3-5yearsbelow 2years

    Percent

    70

    60

    50

    40

    30

    20

    10

    0

    TABLE 5.1.4

    RESPONDENTS BASED ON THEIRNUMBER OF WORKING DAYS

    S.No Working Days No. of Respondents Percentage

    1 20-2210 20

    2 23 -25 15 30

    3 25-28 22 44

    4 29-31 03 06

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    Total 50 100

    Source: primary data

    Inference:

    The above table infers that

    20 % belongs to 20-22 days, 30 % belongs to 23-25 days, 44 % belongs to 25- 28days, and 06

    % belong to above 29-31 days.

    CHART-5.1.4

    NUMBEROF WORKINGDAYS

    NUMBEROF WORKINGDAYS

    29-3125-2823-2520-22Percent

    50

    40

    30

    20

    10

    0

    TABLE 5.1.5

    Respondents Based On Their Leave In A Month

    S.No

    Taken leave in

    month No. of Respondents Percentage

    1 0 10 20

    2 1 -5 23 46

    3 6-10 04 08

    4 10-15 10 20

    5 16-20 03 06

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    Total 50 100

    Source: primary data

    Inference:

    The above table infers that

    20 %belongs to 0 days, 46 % belongs to 1-5days, 08 %belongs to 6-10 days, 20 %belongs to

    10-15 days, and 06 %belongs to 16-20 days.

    CHART-5.1.5

    LEAVE IN MONTH

    LEAVEINMONTH

    16-2010-156-101-50

    Percent

    50

    40

    30

    20

    10

    0

    TABLE 5.1.6

    RESPONDENTS BASED ON THEIR NUMBER OF WORKINGYEARS IN THE

    COMPANY

    S.No WORKING YEARS No. of Respondents Percentage

    1

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    Total 50 100

    Source: primary data

    Inference:

    The above table infers that

    32 % belongs to 10 years

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    Total 50 100

    Source: primary data

    Inference:

    The above table infers that

    08 % belongs to highly satisfied, 06 % belongs to satisfied

    26 %belongs to neutral, 50 % belongs to dissatisfied and10 % belongs to highly

    dissatisfied.

    CHART-5.1.7

    WORKLOAD

    WORKLOAD

    highlydissatisfieddissatisfied

    neutralsatisfied

    highly satisfied

    Percent

    60

    50

    40

    30

    20

    10

    0

    TABLE 5.1.8

    RESPONDENTS BASED ON THEIR WORKING HOURS

    S.No Working Hours No. of Respondents Percentage

    1 Highly satisfied 10 20

    2 Satisfied 12 24

    3 Neutral 05 10

    4 Dissatisfied 13 26

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    5 Highly Dissatisfied 10 20

    Total 50 100

    Source: primary data

    Inference:

    The above table infers that,

    20 %belongs to highly satisfied, 24 % belongs to satisfied, 10 % belongs to neutral,

    26 %belongs to dissatisfied and 20 % belongs to highly dissatisfied.

    CHART-5.1.8

    WORKING HOURS

    WORKING HOURS

    highlydissatisfied

    dissatisfied

    neutral

    satisfied

    highly satisfied

    Percent

    30

    20

    10

    0

    TABLE 5.1.9

    RESPONDENTS BASED ON THEIR MANAGEMENT POLICY

    S.No Management policy No. of Respondents Percentage

    1 Highly satisfied 20 40

    2 Satisfied 10 20

    3 Neutral 05 10

    4 Dissatisfied 10 20

    5 Highly Dissatisfied 05 10

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    Total 50 100

    Source: primary data

    Inference:

    The above table infers that

    40 % belongs to highly satisfied, 20 %belongs to satisfied 10 % belongs to neutral, 20 %

    belongs to dissatisfied and 10 % belongs to highly dissatisfied.

    CHART-5.1.9

    MANAGEMENT POLICY

    MANAGEMENT POLICY

    highlydissatisfied

    dissatisfied

    neutral

    satisfied

    highly satisfied

    Percent

    50

    40

    30

    20

    10

    0

    TABLE 5.1.10

    RESPONDENTS BASED ON THEIR WORKING ENVIRONMENT

    S.No Working environment No. of Respondents Percentage

    1 Highly satisfied 28 56

    2 Satisfied 10 20

    3 Neutral 04 08

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    4 Dissatisfied 05 10

    5 Highly Dissatisfied 03 06

    Total 50 100 Source: primary data

    Inference:

    The above table infers that

    46 % belongs to highly satisfied, 20 %belongs to satisfied, 08 %belongs to neutral, 10 %

    belongs to dissatisfied and 06 %belongs to highly dissatisfied.

    CHART-5.1.10

    WORKINGENVIRONMENT

    WORKINGENVIRONMENT

    highlydissatisfied

    dissatisfied

    neutral

    satisfied

    highly satisfied

    Perc

    ent

    60

    50

    40

    30

    20

    10

    0

    TABLE 5.1.11

    RESPONDENTS BASED ON THEIR RELATIONSHIP WITH THEIR SUPERVISOR

    S.No

    Relation ship with their

    supervisor No. of Respondents Percentage

    1 Highly satisfied 02 04

    2 Satisfied 05 10

    3 Neutral 10 20

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    4 Dissatisfied 20 40

    5 Highly Dissatisfied 13 26

    Total 50 100Source: primary data

    Inference:

    The above table infers that

    04 % belongs to highly satisfied, 10 %belongs to satisfied, 20 % belongs to neutral,

    40 %belongs to dissatisfied and 26 % belongs to highly dissatisfied.

    CHART5.1.11

    RELATIONSHIP WITH THEIRSUPERVISOR

    RELATIONSHIPWITH THEIRSUPERVISOR

    highlydissatisfied

    dissatisfied

    neutral

    satisfied

    highly satisfied

    Percent

    50

    40

    30

    20

    10

    0

    TABLE 5.1.12

    RESPONDENTS BASED ON THEIR LEAVE AFFECTING THEIR COMPANY OUTPUT

    S.No Leave affect company No. of Respondents Percentage

    1 Yes 39 78

    2 No 11 22

    Total 50 100

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    Source: primary data

    Inference:

    The above table infers that

    78 %says yes, 22 %says no.

    CHART-5.1.12

    leave affecting their company output

    leave affecting their company output

    noyes

    Percent

    100

    80

    60

    40

    20

    0

    TABLE 5.1.13

    RESPONDENTS BASED ON THEIR EMPLOYEES SKILL

    S.No Employee skill No. of Respondents Percentage

    1 Good 35 70

    2 Fair 10 20

    3 Poor 05 10

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    Total 50 100

    Source: primary data

    Inference:

    The above table infers that70 % belongs to Good, 2 0%belongs to Fair and 10 % belongs to Poor

    CHART-5.1.13

    EMPLOYEES SKILL

    EMPLOYEES SKILL

    poorfairgood

    Perc

    ent

    80

    60

    40

    20

    0

    TABLE 5.1.14

    RESPONDENTS BASED ON THEIR SALARY PAID

    S.No Salary paid No. of Respondents Percentage

    1 Sufficient 20 40

    2 In sufficient 10 20

    3

    Neutral

    05 10

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    4ModeratelyInsufficient 15 30

    Total 50 100

    Source: primary data

    Inference:

    The above table infers that

    40 % belongs to Sufficient, 20 % belongs to Insufficient, 10 %belongs to Neutral and 30%

    belongs to moderately insufficient.

    CHART-5.1.14

    SALARY PAID

    SALARY PAID

    moderately sufficienneutralinsufficientsufficient

    Perc

    ent

    50

    40

    30

    20

    10

    0

    TABLE 5.1.15

    RESPONDENTS BASED ON THEIR COMPENSATION PROVIDED

    S.No Compensation provided No. of Respondents Percentage

    1 Highly satisfied 03 06

    2 Satisfied 04 08

    3 Neutral 10 20

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    4 Dissatisfied 27 54

    5 Highly Dissatisfied 06 12

    Total 50 100Source: primary data

    Inference:

    The above table infers that 06 % belongs to highly satisfied, 08 %belongs to satisfied,

    20 % belongs to neutral, 54 %belongs to dissatisfied and 12 % belongs to highly dissatisfied.

    CHART-5.1.15

    COMPENSATIONPROVIDED

    COMPENSATIONPROVIDED

    highlydissatisfieddissatisfied

    neutralsatisfied

    highly satisfied

    Percent

    60

    50

    40

    30

    20

    10

    0

    TABLE 5.1.16

    RESPONDENTS BASED ON THEIR EXISTING JOB

    S.No Existing job No. of Respondents Percentage

    1 Highly satisfied 03 06

    2 Satisfied 04 08

    3 Neutral 10 20

    4 Dissatisfied 27 54

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    5 HighlyDissatisfied

    06 12

    Total50

    100

    Source: primary data

    Inference:

    The above table infers that

    06 %belongs to highly satisfied, 08 % belongs to satisfied, 20 % belongs to neutral, 54

    % belongs to dissatisfied and12 % belongs to highly dissatisfied.

    CHART-5.1.16

    SATISFIED WITH THEIR EXISTING JOB

    0

    10

    20

    30

    40

    50

    60

    HIGHLY SATISFIED SATISFIED NEUTRAL DIS SATISFIED HIGHLY

    DISSATISFIED

    SATISFIED WITH THEIR EXISTING JOB

    TABLE 5.1.17

    RESPONDENTS BASED ON THEIR FACILITIES PROVIDED BY THE COMPANY

    S.No Facilities provide by the company No. of Respondents Percentage

    1 Highly satisfied 07 14

    2 Satisfied 23 46

    3 Neutral 12 24

    4 Dissatisfied 06 12

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    5 Highly Dissatisfied 02 04

    Total 50 100

    Source: primary data

    Inference:

    The above table infers that

    14 %belongs to highly satisfied, 46% belongs to satisfied, 24% belongs to neutral

    l2 %belongs to dissatisfied and 4 % belongs to highly dissatisfied.

    CHART-5.1.17

    FACILITIES PROVIDEDBY THE COMPANY

    FACILITIESPROVIDEDBYTHE COMPANY

    highlydissatisfied

    dissatisfied

    neutral

    satisfied

    highly satisfied

    Percent

    50

    40

    30

    20

    10

    0

    TABLE 5.1.18

    RESPONDENTS BASED ON THEIR FLEXIBILITY AND INDEPENDENCE

    S.No Flexibility & independence No. of Respondents Percentage

    1 Highly satisfied 05 10

    2 Satisfied 04 08

    3 Neutral 31 62

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    4 Dissatisfied 06 12

    5 Highly Dissatisfied 04 08

    Total 50 100

    Source: primary data

    Inference:

    The above table infers that 10 % belongs to highly satisfied, 08% belongs to satisfied,

    62%belongs to neutral, 12 % belong to dissatisfied and 08 % belongs to highly dissatisfied.

    CHART-5.1.18

    FLEXIBILITY ANDINDEPENDENCE

    FLEXIBILITYANDINDEPENDENCE

    highlydissatisfied

    dissatisfied

    neutral

    satisfied

    highly satisfied

    Pe

    rcent

    70

    60

    50

    40

    30

    20

    10

    0

    TABLE 5.1.19

    RESPONDENTS BASED ON THEIR PROCEDURE FOR TAKING LEAV E

    S.No Procedure for taking leave No. of Respondents Percentage

    1 Giving a Leave Letter 39 78

    2 Not Giving a Leave Letter 04 08

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    3 Asking Permission 07 14

    4 No Leave 0 0

    Total 50 100Source: primary data

    Inference:

    The above table infers that

    78 % belongs to giving a leave letter; 08 % belongs to not giving leave letter

    14 % belongs to asking permission and 0 % belongs to no leave

    CHART 5.1.19

    PROCEDURE FOR TAKING LEAVE

    PROCEDUREFORTAKING LEAVE

    askingpermissionnot giving leave letgiving a leave lette

    Percent

    100

    80

    60

    40

    20

    0

    TABLE 5.1.20

    RESPONDENTS BASED ON THEIR REASON FOR TAKING LEAVE

    S.No Reason for taking leave No. of Respondents Percentage

    1 Personal Problem 15 30

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    2 Health Problem 20 40

    3 Finance Problem 07 14

    4 Working Environment 04 08

    5 Others 04 08

    Total 50 100

    Source: primary data

    Inference:

    The above table infers that 30% belongs to Personnel problem, 40% belongs to Health

    problem, 14 % belongs to Finance problem, 08 % belongs to working environment and 08 %

    belongs to others

    CHART-5.1.20

    REASONFORTAKINGLEAVE

    REASONFORTAKINGLEAVE

    others

    workingenvironment

    financeproblem

    healthproblem

    personnel problem

    Percent

    50

    40

    30

    20

    10

    0

    TABLE 5.1.21

    RESPONDENTS BASED ON THEIR ABSENT DUE TO TRANSPORTATION PROBLEM

    S.No Absent due to transportationproblem

    No. of Respondents Percentage

    1 In Some cases 23 46

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    2 Often 05 10

    3 Rare 12 24

    4 Not at All 10 20

    Total 50 100

    Source: primary data

    Inference:

    The above table infers that, 46 %belongs to in some cases, 10% belongs to often, 24

    % belongs to rare and, 20 %belongs to not at all

    CHART-5.1.21

    .

    TABLE 5.1.22

    RESPONDENTS BASED ON THEIR INFECTIOUS DISEASE

    S.No Infectious diseases No. of Respondents Percentage

    1 Yes 11 22

    ABSENT DUE TO TRANSPORTATION PROBLEM

    ABSENT DUE TO TRANSPORTATION PROBLEM

    not at allrareoftenin some case

    P E R C E N T

    50

    40

    30

    20

    10

    0

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    2 No 39 78

    Total 50 100

    Source: primary data

    Inference:

    The above table infers that

    22 % says yes, 78 % says no.

    CHART-5.1.22

    AFFECTED BY INFECTIOUS DISEASES

    AFFECTED BY INFECTIOUS DISEASES

    noyes

    Percent

    100

    80

    60

    40

    20

    0

    TABLE 5.1.23RESPONDENTS BASED ON LEAVE WHENEVER YOU WANT

    S.NoLeave No. of Respondents Percentage

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    1 Yes 04 08

    2 No 46 92

    Total 50

    100

    Source: primary data

    Inference:

    The above table infers that

    08 % says yes, 92 % says no.

    CHART 5.1.23

    TO GET LEAVE WHENEVER YOU WANT

    TO GET LEAVE WHENEVER YOU WANT

    noyes

    Percent

    100

    80

    60

    40

    20

    0

    TABLE 5.1.24

    RESPONDENTS BASED ON INSUFFICIENT REST PAUSE

    S.No Insufficient rest pause No. of Respondents Percentage

    1 More 29 58

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    2 Less 05 10

    3 Tolerable 16 32

    Total 50 100Source: primary data

    Inference:

    The above table infers that

    58 % belongs to more, 10 % belongs to less and 32 % belongs tolerable.

    CHART-5.1.24

    REST PAUSE IS ONE OF THE REASON

    REST PAUSE IS ONE OF THE REASON

    tolerablelessmore

    Percent

    70

    60

    50

    40

    30

    20

    10

    0

    TABLE 5.1.25

    RESPONDENTS BASED ON MOTIVATION TECHNIQUE

    S.No Motivation technique No. of

    Respondents

    Percentage

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    1 Incentives 29 58

    2 Bonus 0 0

    3 Allowance 21 42

    Total 50 100

    Source: primary data

    Inference:

    The above table infers that

    58% belongs to incentives, 0 % belongs to bonus and 42 % belongs to allowance.

    CHART-5.1.25

    MOTIVATION TECHINIQUE

    MOTIVATION TECHINIQUE

    allowancesincentives

    Percent

    60

    50

    40

    30

    20

    10

    0

    TABLE 5.1.26

    RESPONDENTS BASED ON THEIR PERSONAL PROBLEM

    S.No Personal problem No. of Respondents Percentage

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    1 In Some cases 31 62

    2 Often 04 08

    3 Not at All 15 30

    Total 50 100

    Source: primary data

    Inference:

    The above table infers that

    62 % belongs to in some cases, 08 % belongs to often and

    30 % belongs to not at all.

    CHART-5.1.26

    PERSONAL PROBLEM

    PERSONAL PROBLEM

    not at alloftenin some casesPercent

    70

    60

    50

    40

    30

    20

    10

    0

    TABLE 5.1.27

    RESPONDENTS BASED ON THEIR COUNSELING PROVIDED BY THE COMPANY

    S.No Counseling provided by the

    company

    No. of Respondents Percentage

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    1 Yes 31 62

    2 No 19 38

    Total 50 100Source: primary data

    Inference:

    The above table infers that

    62% says yes, 38 % says no.

    CHART-5.1.27

    counseling provided by the company

    counseling provided by the company

    noyes

    Percent

    70

    60

    50

    40

    30

    20

    10

    0

    TABLE 5.1.28

    RESPONDENTS BASED ON THEIR PREFERENCE OF SHIFTS TO REDUCE

    ABSENTEEISM

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    Sl.No Preference of shift No. of Respondents Percentage

    1 General Shift 22 44

    2 Weekly Shift 21 42

    3 Monthly Shift 07 14

    Total 50 100

    Source: primary data

    Inference:

    The above table infers that

    44 % prefers general shift, 42 % prefers weekly shift and 14 % prefers monthly shift

    CHART-5.1.28

    WHICHSHIFT DO YOUPREFER

    WHICHSHIFT DO YOUPREFER

    monthlyshiftweekly shiftgeneral shift

    Percent

    50

    40

    30

    20

    10

    0

    TABLE 5.1.29

    RESPONDENTS BASED ON THEIR FREEDOM TO CHANGE THE SHIFTS

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    S.No Freedom to change

    the shift

    No. of Respondents Percentage

    1 Yes 13 26

    2 No 11 22

    3 Rare 26 52

    Total 50 100

    Source: primary data

    Inference:

    The above table infers that 26 % belongs to yes, 22% belongs to no and 52 %belongs to rare

    CHART-5.1.29

    FREEDOM TO CHANGE

    FREEDOM TO CHANGE

    rarenoyes

    Percent

    60

    50

    40

    30

    20

    10

    0

    TABLE 5.1.30

    RESPONDENTS BASED ON THEIR NEED OF ADDITIONAL LEAVE

    S.No Need of additional leave No. of Respondents Percentage

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    1 Yes 25 50

    2 No 25 50

    Total 50 100Source: primary data

    Inference:

    The above table infers that

    50 % says yes, 50%says no.

    CHART-5.1.30

    NEED OF ADDITIONAL LEAVE

    NEED OF ADDITIONAL LEAVE

    noyes

    Percent

    60

    50

    40

    30

    20

    10

    0

    TABLE 5.1.31

    RESPONDENTS BASED ON THEIR EXPECTED FACILITIES NEEDED

    S.No Expected facilities needed No. of Respondents Percentage

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    1 Medical

    Facilities

    11 22

    2 Transport Facilities 30 60

    3 Others 09 18

    Total 50 100

    Source: primary data

    Inference:

    The above table infers that

    22 %belongs to medical facilities, 60 %t belongs to transport facilities and

    18 % belongs to others.

    CHART-5.1.31

    TYPE OF FACILITES

    TYPE OF FACILITES

    otherstransport facilitesmedicalfacilites

    Percent

    70

    60

    50

    40

    30

    20

    10

    0

    5.2 ANALYSIS USING CHI-SQUARE- 2

    TO FIND WHETHER THERE IS DIFFERENCE BETWEEN THE OPINION OF

    RESPONDENTS REGARDING THEIR WORKING HOURS

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    Null Hypothesis

    There is no significant difference in the variable among the employees about their working

    hours.

    TABLE 5.2.1

    S.No Working Hours No. of Respondents

    1 Highly satisfied 10

    2 Satisfied 12

    3 Neutral 05

    4 Dissatisfied 13

    5 Highly Dissatisfied 10

    Total 50

    Source: primary data

    FORMULA

    (O-E) 22 =

    EO = Observed frequency

    E = Expected frequency

    COMPUTATION OF CHI-SQUARE ( 2 )

    TABLE No: 5.2.2

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    S.No O E (O-E) (O-E)2 (O-E)2 /E

    1 10 10 0 0 0

    2 12 10 2 4 0.4

    3 05 10 -5 25 2.5

    4 13 10 3 9 0.9

    5 10 10 0 0 0

    TOTAL 3.8

    Source: Primary Data

    The calculated value is 3.8

    Degree of freedom = (n-1) = (5-1)

    = 4

    Level of significance = 5%

    Table value 4 of DGF and 5% level of significance = 9.48

    3.8 < 9.48 - Calculated Value is lesser than Tabulated Value.

    Hence, Null hypothesis is ACCEPTED.

    INFERENCE

    Thus Chi-Square test infers that there is no significant difference in the variable

    among the employees about their working hours.

    5.3 ANALYSIS USING CORRELATION ANALYSIS

    TO FIND WHETHER THERE IS CORRELATION BETWEEN AFFECTED BY INFECTIOUS

    DISEASES Vs LEAVE AFFECTING THE COMPANY OUTPUT

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    Let X be the respondent affected by Infectious diseases.

    Let Y be the Leave affecting the company output.

    TABLE 5.3.1

    S.no Factors X Y

    1 Yes 11 39

    2 No 39 11

    Total 50 50

    Source: Primary Data

    RANKS

    TABLE 5.3.2

    S.no Rank of X Rank of Y di = (Xi-Yi)

    1 2 1 1

    2 1 2 1

    Total (Xi-Yi) 2

    1-6 di

    Formula r = 1- ,By substituting the data to the formula, we get r = -1N (n-1)

    INFERENCE

    The value obtained is in negative, where it infers that a change in one variable has an

    opposite change in another variable. From the correlation analysis it is inferred that, if the

    employees get affected by Infectious diseases then the company output will be get decreased.

    5.4 ANALYSIS USING ANOVA

    TO FIND WHETHER THERE IS DIFFERENCE BETWEEN THE OPINION OF RESPONDENTS

    REGARDING THEIRSALARY PAID VS ABSENT DUE TO TRANSPORTATION

    Null Hypothesis

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    i. There is no any significance difference between Salary paid.

    ii. There is no any significance difference between absent due to Transportation.

    TABLE 5.4.1

    Source: Primary Data

    STEPS

    Number of all items N = 16

    Sum of all items are T= 50

    T

    Correction factor CF = = 156.25

    N

    Total sum of squares SST = 153.75

    Sum of squares between column samples SSC = 43.25

    Sum of squares between column samples SSR = 31.25

    Residual or Error SSE = 79.25

    ANOVA TABLE 5.4.2

    Source Of

    Variation

    Sum of

    Squares

    Degrees of

    Freedom (d.f)Mean Square (MS) F-ratio

    S.no

    Absent due toTransportation

    Salary paid

    In some

    casesOften Rare

    Not at all Total

    1 Sufficient 7 1 8 4 20

    2 In-Sufficient 6 1 1

    2 103 Neutral 3 2 0

    0 5

    4 Moderately Sufficient 7 1 34 15

    Total 23 5 1210 50

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    Treatmentbetween Salary

    paid

    43.25 3 14.41

    1.637

    1.182

    Treatment

    between

    Absent due toTransportation

    31.25 3

    10.41

    Residual or

    Error79.25 9 8.80

    Tabulated value for (3,9) d.f at 5% level of Significance is 3.86

    INFERENCE

    i. Calculated value (1.637) < Tabulated value (3.86)

    Therefore H0 is ACCEPTED.

    This shows that there is no any significance difference between Salary paid.

    ii. Calculated value (1.182) < Tabulated value (3.86)

    Therefore H0 is ACCEPTED.

    This shows that there is no any significance difference between Absent due toTransportation

    5.5 ANALYSIS USING WEIGHTED AVERAGE METHOD

    TO FIND THE RANKS OF DIFFERENT FACTORS WHICH ARE LISTED BELOW

    ACCORDING TO THE OPINION OF RESPONDENTS

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    TABLE No: 5.5.1

    FACTORS HighlySatisfied

    Satisfied Neutral Dissatisfied HighlyDissatisfied

    WORKING

    HOURS

    10 12 05 13 10

    MANAGEMENT

    POLICY 20 10 05 10 05

    WORKING

    ENVIRONMENT 28 10 04 05 03

    RELATION

    WITHSUPERVISOR

    02 05 10 20 13

    Source: Primary Data

    Table 5.5.2

    POINT

    WEIGHTAGE

    5 4 3 2 1

    FACTORS H.S S N D H.D TOTAL AVG RANK

    WORKING

    HOURS 50 48 15 26 10 149 2.98 3

    MANAGEMENTPOLICY 100 40 15 20 05 180 3.6 2

    WORKING

    ENVIRONMENT 140 40 12 10 03 205 4.1 1

    RELATION

    WITH

    SUPERVISOR

    10 20 30 40 13 113 2.26 4

    Source: Primary Data

    INFERENCE

    The above table infers that the company gives more weight age first to the working

    environment, second to the management policy, third to the working hours, and finally to the

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    relationship with supervisors. This shows that the employees are very much satisfied with their

    working environment.

    CHAPTER-VI

    6.1 FINDINGS OF THE STUDY

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    1. The age group of employees from group of 36-45 persons is 44%

    2. The employee education from HSC is 44%

    3. The Experience of the employee from above 5 years is 64%

    4. The number of working days by employee is 25-28 is 44%

    5. The number leave taken in a month averagely 1-5 is 45%

    6. The employee working years

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    28. The employees change the shift fort the convinces at rare at 52%.

    29. About 50% says they need additional leave and 50% says they did not need additional

    leave.

    30. The most of the respondence says that they need transport facilities at 60%

    31. From the Chi-Square test it is inferred that there is no significant difference in the variable

    among the employees about their working hours.

    32. From the correlation analysis it is inferred that, if the employees get affected by Infectious

    diseases then the company output will be get decreased.

    33. From the Analysis of variance it is inferred that there is no any significance difference

    between Salary paid and between Absent due to Transportation.

    34. From the weighted average method it is inferred that the company gives more weight age

    first to the working environment, second to the management policy, third to the working

    hours, and finally to the relationship with supervisors. This shows that the employees are

    very much satisfied with their working environment.

    CHAPTER- VI

    6.2 SUGGESTION AND RECOMMENDATION

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    In order to minimize the rate of absenteeism the company could take care of employees

    healths especially in production unit.

    Introducing attendance management programme.

    I suggest that by taking disciplinary action which will minimize absenteeism.

    Introducing medical facilities for employees and employees family member.

    Providing transport facilities for all employees

    Motivating the employee by monetary and non monetary awards for those who are

    completed 100% attendance.

    To improve safety awareness among employee by educating them on health aspects

    conducting safety work shop and to reduce noise pollution in few department.

    CHAPTER-VII

    CONCLUSION

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    Even though the studies have conducted properly more is some limitation occurring

    more over factory

    Time constrain was a major limitation of the study

    Some of the respondent are not co- operative to fill the answer for the question

    The area of operation in THE PONDICHERRY CO OPERATIVE SPINNING MILL

    LTD.

    The study is based upon small population like 50 sample

    8.2 SCOPE FOR THE FURTHER STUDY

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    A s the data is collected from The pondicherry co operative spinning mill ltd. Thirubuvani,

    this result cannot correlate to the entire spinning mill industry. So further researcher may

    concentrate on other regions.

    This project conducted survey to measure the level of employees absenteeism.

    This project is help full for those further those who are under going the project in the

    concept of employees absenteeism and to know the reason for the absenteeism in

    The pondicherry co operative spinning mill ltd. Thirubuvani

    APPENDICES

    ANNEXURE- 1

    QUESTIONNAIRE

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    A STUDY ON EMPLOYEES ABSENTEEISM IN SPINCO,PUDUCHERRY

    Personal Details:1. I) Name :

    I I) EID No :

    III) Address :

    IV) Department :

    V) Martial Status :

    VI) Annual Income :

    VII) Age:

    a) 18 25 b) 26 35 c) 36 45 d) above 45

    VIII) Education:

    a) SSLC b) HSC c) ITI d) Others, pleaseSpecify______

    IX) Experience

    a) Below 2 years b) 3 - 5 years c) above 5 years

    Other Details:

    2. Number of working days per month:

    a) 20 - 22 b) 23 - 25 c) 25 - 28 d) 29 - 31

    3. How many days do you take leave in a month?

    a) 0 b) 1 - 5 c) 6 - 10 d) 1 0 - 1 5

    e) 16 - 20

    4. How long you are working in the company?

    a) < 5 years b) < 10 years c) > 10 years

    5. Rate the factors below according to the satisfaction level.

    Highly

    Satisfied

    Satisfied Neutral Dissatisfied Highly

    Dissatisfied

    WORKLOAD

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    WORKINGHOURS

    MANAGEMENTPOLICY

    WORKING

    ENVIRONMENTRELATIONSHIPWITH

    SUPERVISORS

    6. Does your leave will affect the company out put?

    a) Yes b) no

    7. How much your company utilizing the employee skills?

    a) Good b) Fair c) Poor

    8. About the salary paid by the company?

    a) Sufficient b) Insufficient c) Neutral d) Moderately sufficient

    9. Are you satisfied your compensation at the time of your leave?

    a) Highly Satisfied b) Satisfied c) Neutral d) Dissatisfied

    e) Highly dissatisfied

    10. Are you satisfied with your existing job?

    a) Highly Satisfied b) Satisfied c) Neutral d) Dissatisfied

    e) Highly dissatisfied

    11. How do you feel about your facilities provided by the company?

    a) Highly Satisfied b) Satisfied c) Neutral d) Dissatisfied

    e) Highly dissatisfied

    12. Flexibility and Independence allowed?

    a) Highly Satisfied b) Satisfied c) Neutral d) Dissatisfied

    e) Highly dissatisfied

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    13. What is the procedure for taking leave in your organization?

    a) Giving a leave letter b) Not giving a leave letter

    c) Asking a permission d) No leave

    14. Reason for taking leave?

    a) Personal Problem b) Health problem c) Finance problem

    d) Working environment e) Others

    15. How often do you absent due to transportation problem?

    a) In some cases b) Often c) Rare d) Not at all

    16. Are you affected by infectious diseases?

    a) Yes b) No

    17. Is it possible to get leave whenever you want?

    a) Yes b) No

    18. Do you tell insufficient rest pause is one of the reasons for absent?

    a) More b) Less c) Tolerable

    19. What type of motivation techniques adopted for employees regular to the work?

    a) Incentives b) Bonus c) Allowances

    20. Does the company helps in your personal problem?

    a) In some cases b) Often c) Not at all

    21. Do you need counseling in the company for your personal matter affecting you in taking leave

    often?

    a) Yes b) No

    22. To reduce absenteeism which shifts do you prefer if it is adopted?

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    a) General Shift b) Weekly Shift c) Monthly shift

    23. Do you have freedom to change your shift for your convenience?

    a) Yes b) No c) Rare

    24. Do you need additional leave?

    a) Yes b) No

    25. What type facilities do you except from the management to reduce absenteeism?

    a) Medical facilities b) Transport facilities c) Others, please

    specify____

    26. Any suggestion to reduce absenteeism_____________________________

    ANNEXURE-2

    BIBILIOGRAPHY

    BOOKS:

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