A Case Study on Absenteeism of Workers in Coca Cola Beverages Pvt. Ltd

1. International Research Research and Development (IJTSRD) International Open Access Journal tudy on Absenteeism of Workers Coca-Cola Beverages Pvt. Ltd A. Venkat Rao1, N. Veena2, P. Asha Latha2 of the Department, 2Assistant Professor Mother Theresa Institute of Management, Palamaner, Chittoor, Andhra Pradesh International Journal of Trend in Scientific Scientific (IJTSRD) International Open Access Journal ISSN No: 2456 ISSN No: 2456 - 6470 | www.ijtsrd.com | Volume 6470 | www.ijtsrd.com | Volume - 2 | Issue – 5 A Case Stud in Coca A. Venkat Rao 1Head o Mother Theresa Institute of orkers Andhra Pradesh, India To identify the variables that lead to absenteeism. To Study the variables that reduces the rate of ABSTRACT Employee absenteeism has been a growing concern to employers. Absenteeism may lead to financial losses and thereby resulting reduction in productivity and the costs of sick leave benefits paid as wages for no work. This project on Employee Absenteeism reveals that one of the major problems is absenteeism. Absenteeism is the practice or habit of being an absentee and an absentee is one who habitually stays away from work. Employees Absenteeism is a serious problem for management because it involves heavy additional expenses. Absenteeism hinders planning, production, efficiency and functioning of the organization. In fact high rates of absenteeism affect an organization state of health and also supervisory and managerial effectiveness. To identify the variables that lead to absenteeism. To Study the variables that reduces absenteeism. SCOPE OF THE STUDY Study of absenteeism among industrial workers is not only from view point but it is important from the view point of the moral of the employees. Even though the effect of the good moral of the employee, may not evaluated in terms of costs, but it should be say that it is important than cost. The main purpose behind this project is to find out the causes that lead to Absenteeism. LIMITATIONS The worker’s name is mentioned in questionnaire while collecting the data, this might have been a negative approach in their view. Because of their busy schedule the data is collected in permitted area. To collect the information superiors are not interested, because they are feeling work may disturb. DATA COLLECTION Data collected from primary and secondary sources. Primary data Primary data collected through questionnaires, observation and personal interview. Secondary data Secondary data collected through reference books and past records and absenteeism reports of the Sample Size : 50 growing concern to employers. Absenteeism may lead to financial losses and thereby resulting reduction in productivity and the costs of sick leave benefits paid as wages for no work. This project on Employee Absenteeism reveals that ems is absenteeism. Study of absenteeism among industrial workers is not only from view point but it is important from the view point of the moral of the employees. Even though the effect of the good moral of the employee, may not be evaluated in terms of costs, but it should be say that it is important than cost. The main purpose behind this project is to find out the causes that lead to Absenteeism is the practice or habit of being an absentee and an absentee is one who habitually stays away from work. Employees Absenteeism is a serious problem for management because it involves heavy inders planning, production, efficiency and functioning of the organization. In fact high rates of absenteeism affect an organization state of health and also supervisory The worker’s name is mentioned in questionnaire data, this might have been a negative approach in their view. Because of their busy schedule the data is collected in permitted area. To collect the information superiors are not interested, because they are feeling work may Keywords: Absenteeism, Performance, Productivity Absenteeism, Performance, Productivity INTRODUCTION Absenteeism has been variously defined authorities from time to time. Thus the term absenteeism refers to the worker’s absence from his regular task when he is scheduled to work. Any employee may stay away from work if he has taken leave to which he is entitled or as the ground of sickness or some accident without any previous sanction of leave. Nevertheless usually involuntary layoff, lack of work, authorized leave or vacation period of work stoppage is not counted as absence strikes and lockouts are treated as absence are many include late attendance in it. OBJECTIVES OF THE STUDY To find out the rate of absenteeism in coca beverages pvt ltd., Absenteeism has been variously defined authorities from time to time. Thus the term absenteeism refers to the worker’s absence from his regular task when he is scheduled to work. Any employee may stay away ich he is entitled or as the ground of sickness or some accident without any previous sanction of leave. Nevertheless usually involuntary layoff, lack of work, authorized leave or vacation period of work stoppage is not counted as uts are treated as absence are collected from primary and secondary sources. Primary data collected through questionnaires, observation and personal interview. Secondary data collected through reference books and past records and absenteeism reports of the company. To find out the rate of absenteeism in coca-cola @ IJTSRD | Available Online @ www.ijtsrd.com @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 2018 Page: 328

2. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 PROCESSING AND ANALYSIS OF DATA After the data have been collected it has to be analyzed. The data obtained from the questionnaire is arranged in a serial order then a master copy with tabulation method is being prepared. Tabulation is a part of the technical procedure where in the essential data are put in the form of tables. CALCULATION OF ABSENTEEISM RATE The absenteeism rate is a statistical expression of the total time lost due to the unauthorized absence during a particular period. The standard formula to calculate the rate of absenteeism is the ratio of man shifts lost due to absence of workers to the number of man shifts scheduled to work.   Man Shifts lost due to absent   x 100 Absenteeism percentage rate   Man Shifts scheduled to work Number of absents in a year   x 100 1.Spell of Absence Average number employed in the year 2.Absenteeism percentage rate Number of employee s ' days lost through out job absence during the period   x 100 Average number of employees x number of work days   Man days lost   Absenteeis m % x 100 According to FLIPPO   Man days scheduled to work k.m. distance, 10% of respondents are residing in 1 to 5 k.m. distance, 16% of respondents are residing in 5 to 10 k.m. distance, and 34% of respondents are residing above 10 k.m. distance. TABLE – 2 ABSENT DUE TO UNEXPECTED WORK Unexpected Work Respondents Percentage RARELY Some times Always Never Total Source: Primary Data TABLE – 1 DISTANCE BETWEEN RESPONDENTS HOUSE AND FACTORY Distance Respondents Below 1 km 20 1 to 5 km 5 5 to 10 km 8 Above 10 km 17 Total 50 Source: Primary Data Percentage 40 10 16 34 100 19 10 0 21 50 38 20 0 42 100 120 100 100 RESPONDENT S PERCENTAGE 80 50 60 40 34 40 20 17 16 5 10 8 20 120 0 100 100 Above 10 km Total Below 1 km 5 to 10 km 1 to 5 km 80 RESPONDENTS 50 60 42 38 PERCENTAGE 40 21 20 19 10 20 0 0 0 Rarely Inference: The above table represents that from the total respondents 40% of respondents are residing below 1 Never Total Always Some times @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 2018 Page: 329

3. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 Inference: The above table represents that from the total respondents, 38% of respondents are absent rarely due to unexpected work, 20% of respondents are absent sometimes due to unexpected work, and 42% of respondents are never absent due to unexpected work. TABLE – 3 HEALTH IS THE REASON FOR ABSENT Health Is Reason Respondents Percentage Rarely Some times Always Never TOTAL Source: Primary Data Inference: The above table represents that from the total respondents, 10% of respondents are sometimes absent due to late coming, 4% of respondents are always absent due to late coming, 36 of respondents are rarely absent due to late coming and 50% of respondents are never absent due to late coming. TABLE – 5DIFFERENT PROBLEMS FACING TO ATTEND DUTY Problems Respondents Sickness 19 Social 12 Personal 19 TOTAL 50 Source: Primary Data 15 23 0 12 50 30 46 0 24 100 Percentage 38 24 38 100 120 100 100 120 100 80 RESPONDENTS PERCENTAGE 100 50 46 60 RESPONDENTS 30 80 24 40 23 15 50 12 60 20 38 38 0 0 PERCENTAGE 40 24 0 19 19 12 20 Never Rarely Total Always Some times 0 Personal Total Social Sickness Inference: The above table represents that from the total respondents 30% of respondents are absent due to ill health, 46% of respondents are absent sometimes due to ill health, and 24% of respondents are never absent due to ill health. TABLE –4 ABSENT DUE TO LATE COMING Response Respondents Sometimes 5 Always 2 Rarely 18 Never 25 TOTAL 50 Source: Primary Data Inference: The above table represents that from the total respondents 38% are facing sickness problem, 24% are facing social problem, and 38% are facing personal problems. TABLE – 6 EMPLOYEES MODE OF TRANSPORT Mode of Transport Respondents Percentage BY BUS By bicycle By Scooter On foot Total Source: Primary Data Percentage 10 4 36 50 100 26 7 13 4 50 52 14 26 8 100 120 100 120 100 100 100 80 80 RESPONDENTS 50 50 RESPONDENTS PERCENTAGE 52 60 50 36 60 PERCENTAGE 25 40 18 26 26 40 10 5 4 14 20 2 13 8 7 4 20 0 0 Never Rarely Total Sometimes Always Total On foot By Bus By Scooter By bicycle @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 2018 Page: 330

4. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 Inference: The above table represents that from the total respondents, 52% of respondents are coming by bus, 14% of respondents are coming by bicycle, 26% of respondents are coming by scooter and 8% of respondents are coming on foot. TABLE – 7 ABSENTEEISM AFFECTS THE ECONOMIC CONDITIONS OF WORKERS Economic Conditions Strongly agree Agree Disagree Strongly disagree Total Source: Primary data Inference: The above table represents that from the total respondents 24% of respondents are sometimes absent due to heavy work load, 6% of respondents are always absent due to heavy work load, 58% of respondents are rarely absent due to heavy work load and 12% of respondents are never absent due to heavy work load. TABLE –9 FEELING BOREDOM IN DOING THE ASSIGNED JOB Response Respondents Rarely 16 Sometimes 14 Always 0 Never 20 TOTAL 50 Source: Primary Data Respondents Percentage Percentage 32 28 0 40 100 35 15 00 00 50 70 30 0 0 100 120 100 100 120 100 ECONOMIC RESPONDENTS 100 70 80 80 50 RESPONDENTS 50 60 35 60 40 30 ECONOMIC PERCENTAGE 32 40 PERCENTAGE 15 28 40 20 0 0 0 0 16 20 14 20 0 0 0 0 Disagree Agree Strongly agree Strongly disagree Total Never Rarely Total Always Sometimes Inference: The above table represents that from the total respondents 70% of respondents are strongly agree that absenteeism affects the economic conditions, 30% of respondents are agree that absenteeism affects the economic conditions. TABLE – 8 ABSENT DUE TO HEAVY WORK LOAD Opinion Respondents Sometimes 12 Always 3 Rarely 29 Never 6 Total 50 Source: Primary Data Inference: The above table represents that from the total respondents, 32% of respondents are rarely feeling boredom, 28% of respondents are sometimes feeling boredom, and 40% of respondents are never felt boredom in doing the assigned job. TABLE – 9EMPLOYEES SATISFACTION REGARDING SAFETY MEASURES Satisfaction Respondents Strongly agree Agree Disagree Strongly disagree Total Source: Primary Data Percentage 24 6 58 12 100 Percentage 70 20 6 4 100 35 10 3 2 50 120 100 100 120 100 100 70 80 80 58 RESPONDENTS 50 RESPONDENTS PERCENTAGE 50 60 35 60 20 PERCENTAGE 40 29 10 24 6 40 3 4 2 20 12 12 6 6 0 20 3 0 Agree Disagree Strongly disagree Strongly agree Total Never Rarely Total Sometimes Always @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 2018 Page: 331

5. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 Inference: The above table represents that from the total respondents 70% of respondents are strongly agree about the safety measures provided, 20% of respondents above the safety measures provided, 6% of respondents are disagree about the safety measures provided and 4% of respondents are strongly disagree about the safety measures provided. TABLE –10 RESPONDENTS HAVING ANY OTHER SOURCES OF INCOME Sources of Income Agriculture 13 Business 8 Nothing else 29 Total 50 Source: Primary Data 120 100 100 RESPONDENTS PERCENTAGE 80 58 50 60 29 40 16 14 12 8 7 6 20 0 2nd shift General 3rd shift Total 1st shift Inference: The above table represents that from the total respondents 14% are facing problem in 1st shift, 12% of respondents are facing problem in 2nd shift, 50% of respondents are facing problem in 3rd shift, and 16% of respondents are facing problems in general shift. FINDINGS From the study it has been found that there are many factors including that workers absenteeism, some of them are as follows. Absenteeism in shifts is mainly in third shift i.e., 10 p.m. to 6 a.m. that means it is high in night shifts. So workers in the night shift experience greater discomfort during their course of work than they do during daytime. From the samples of the workers, some of the workers are debited, other workers in work place due to which they absent themselves in order to escape the creditors. Some may absent because of ill health, family member’s health and unexpected work etc. Most of the employees facing personal problems. It is also reason for absenteeism. Some of the workers strongly agree that they have cordial relationship with their higher authorities. Some of the workers absent because there are having other sources of income i.e., agriculture, business etc. SUGGESTIONS The following are some of the suggestions in order to minimize absenteeism in the company. Many of the workers agree that they have good relationship with higher authorities. Some may fear to talk with communication network particularly the upward communication. By providing high wages and allowances based on organizational, financial positions. Respondents Percentage 26 16 58 100 120 100 100 80 58 RESPONDENTS 50 60 29 PERCENTAGE 26 40 16 13 8 20 0 Total Agriculture Nothing else Business Inference: The above table represents that from the total respondents 26% of respondents are having agriculture as sources of income, 16% of respondents are having business as sources of income, and 58% of respondents are not having any other sources of income TABLE – 11 WORKERS FACING PROBLEM IN SHIFTS Shift Respondents 1st shift 7 2nd shift 6 3rd shift 29 General 8 Total 50 Source: Primary Data Percentage 14 12 58 16 100 them, improving the @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 2018 Page: 332

6. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 By providing proper loans in order to satisfy the workers need. The company may reduce the absenteeism rate. Selecting the workers by testing them thoroughly recording their aspirators, value system, and sense of responsibility. Selecting the workers who do not have any other sources of income i.e., agriculture and business etc. CONCLUSION: Based on the information and analysis we finally conclude that absenteeism very much evident in coca- cola company on the basis of many factors involved such as Health issues, boredom, lack of transportation facilities, lack of motivation, no proper measures taken to resolve the employee issues at an appropriate time, lack of job satisfaction and finally employees looking for green postures for their social and economic well being. REFERENCES 1.In June 2012, Coca-Cola announced its intentions to begin distributing in Myanmar. Stafford, Leon (September 9, 2012). "Coca-Cola to spend $30 billion to grow globally". The Atlanta Journal- Constitution. Retrieved January 24, 2013. 3.Richard Gardiner, "The Civil War Origin of Coca- Cola in Columbus, Georgia," Muscogiana: Journal of the Muscogee Genealogical Society (Spring 2012), Vol. 23: 21–24. 4."Coca-Cola Pharmacist". Columbus Ledger. Retrieved March 13, 2011. Inventor was Local 5.Adams, S.J. (1965). Inequity in social exchange, in L. Berkowitz (ed.), Advances in Experimental Social Psychology, Academic Press, New York, 267-300. (Cited in Kulik et al., 2008). 6.C. Agalar, F. Agalar, I. SayekHekim sirketleri arasindaki etkilesimler veilac 7.Cocuk Sagligi ve Hastaliklari Dergisi, 48 (2005), pp. 273-283 8.Ajzen, I. (1985). From intentions to action: A theory of planned behavior, in J. Kuhl and J. Beckmenn (eds.), Action control: From cognition to behavior, Springer Verlag, New York, pp. 11- 39. 9.Andreoli N, Lefkowitz J. (2008), Individual and organizational antecedents of misconduct in organizations. Journal of Business Ethics, 85(3), pp. 309-332. 2.Geuss, Megan (October 2010). "First Coupon Ever".Wired. 18 (11): 104. @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 2018 Page: 333