Problem statement for Library Management project (Software engineering).
Finite State Machine Capabilities and Limitations.
With the rapid growth in the information technology and computer industry, there is high demand for Java Developer skilled personnel in India.
PROBLEM STATEMENT: This study is being undertaken for understanding the importance of Psychology in human resource department and to analyse the need of HR-Psychologists in an organization. For high growth organizations, attracting, hiring and retaining the right talent is critical. Adding the right players and managing the man power is a key source of competitive advantage. By attracting the wrong talent there would be difficulty in meeting the strategic goals and objectives. So, the goal should be reached with the greatest speed and the least possible cost to the organization. Therefore the effectiveness of having an HR-Psycholgists in an organisation would be studied and in a needed case some suggestions would be given.
SCOPE OF THE STUDY Scope to the Company 1. This study will help to know the advantage of having a distinctive HR-Psychologists at United India Insurance. 2. This study will help the organization to know the influence of Psychology in Human resource department and its impact in solving Industrial problems. Scope to the researcher: 1. The researcher acquired more information about the importance of Psychology in handling Human resource activities.
Need of the Study This study helps to make a managerial decision on Human resource process by the company.
To Increase the effectiveness of handling the man power in the organization.
To identify the Importance of Psychology in Human resource department.
To obtain the root cause of Industrial problems in order to help the organization to Solve
Limitations of the Study
Lack of interest among Respondents, who refuse and hesitate to give detailed feedback in
their busy schedule.
The sample size of 50 respondents will not reveal overall and complete picture about the
need of an HR-Psychologist in United India Insurance company limited.
Data collected is not fully reliable because of the possibility of biased answers.
RESEARCH METHODOLOGY 3.1 TYPE OF PROJECT DESCRIPTIVE RESEARCH A descriptive study is undertaken in order to ascertain and be able to describe the characteristics of the percentage of members who are in their senior and junior years, sex composition, age groupings, number of semesters until action, and number of business courses taken, can only be considered as descriptive in nature. Quite frequently, descriptive studies are undertaken in organizations in order to learn about and describe the characteristics of a group of employees, as for example, the age, educational level, job status, and length of service of Hispanics or Asians working in the system. Descriptive studies are also undertaken to understand the characteristics of organizations that follow certain common practices. Descriptive
of data quantitatively. Descriptive
statistics (or inductive statistics), in that descriptive statistics aim to summarize a data set, rather than use the data to learn about the population that the data are thought to represent. This generally means that descriptive statistics, unlike inferential statistics, are not developed on the basis of probability theory. Even when a data analysis draws its main conclusions using inferential statistics, descriptive statistics are generally also presented. For example in a paper reporting on a study involving human subjects, there typically appears a table giving the overall sample size, sample sizes in important subgroups
RESEARCH METHODOLOGY Research works are used extensively as problem solving technique and also in the process of decision making. Modern statistical methods and statistical data are being found increasingly useful for research in different fields. Research is being undertaken with the help of statistical methods. Through the research work, the enumerator collects data on a specific problem with the help of questionnaire and schedule. The research used to survey the influence of Psychology in human resource department at United India Insurance.
RESEARCH DESIGN Research design is a conceptual structure or plan within which research is conducted. The study has been done by descriptive research. This is so because the company is interested in finding out the HR department perception.
3.2 METHOD OF DATA COLLECTION Collection of data is an important stage in research. In fact the quality of the data collected determines the quality of research. The data for the study was collected from both primary and secondary sources.
Primary Data Primary data are those collected by the investigator himself for the first time. Primary data was collected by survey method through Questionnaire. Personal interview was one of the methods followed for collecting data. Personal interview with the Respondents helped to know about their problems. About 60 Respondents were interviewed and the required data were collected.
Secondary Data Secondary data are existing data. It may be published or unpublished. Data were collected from the internet, company’s book of strategic plan and personally talking to the manager of human resource management.
SAMPLE DESIGN From the given population selected for the study. A definite plan was determined before any data are collected for obtaining a sample.
SAMPLE UNIT The sample unit is selected not from a specific designation to avoid biased and false information; the respondents from each cadre in Human resource department are investigated to get the true results.
SAMPLE SIZE A sample of 60 Respondents of different cadre in Human resource department was taken for the survey out of 67 employees in Personnel department. Human resource department personnels were the target of the study.
SAMPLE PROCEDURES Respondents were selected on Non-Probability sampling
basis. The researcher
questioned anyone who was available in personnel department. This method is quick and cheap. It is called as Convenience sampling.
FIELD WORK The duration of the study was 4 months. The research was conducted from 1st January 2012 to 30th April 2012. In the initial days the secondary data was collected then rest of the duration was spent in understanding the working environment and distributing questionnaire for collecting feedback.
3.3 TOOLS FOR ANALYSIS The following statistical tools were used to analyze and interpret the data collected during the study. 3.3.1 PERCENTAGE ANALYSIS: In this proportion of an individual observation in a distribution is described. The most convention for describing the positional of an individual score in distribution of scores is a percentile method.
Percentage = number of responses for each respondents * 100 Total number of respondents 3.3.2 CHI-SQUARE TEST: This is one of the simplest and most widely used non-parametric tests in statistical work. The test is also called as x method. Chi-square test is applied in statistics to verify the distribution of observed data with assumed theoretical distribution of observed data with assumed theoretical distribution. The formula for computing chi-square is, X2 = € (O-E)2 / E Where ‘o’ is observed frequency ‘E’ is expected frequency.