MGT202 Organizational Behavior Academic Editing Services - Free Sample

Answer:

Introduction

Today, the human resource managers undergo challenges in the selection of the suitable personnel with competent skills and capability for different jobs in organizations. The attempt to do acquire the required taskforce is mostly done through recruitment practices after which training is done for the recruited team to get it ready for the tasks ahead. However, there have been varied opinions from different human resource managers over the recruitment processes concerning the level of experience or the degree qualifications for the new employees. This led to the motive to conduct this research study to determine the choice of the employee to go for during recruitment processes.

Research topic and objective  

The topic for this research topic is the job requirement, which is the key consideration by the human resource managers during selection processes for new employees. The main objective or the purpose of this study is to build a case that the degree certificate does not always make someone better for a suitable position than that who has years of experience in the relevant field instead of a degree certificate as a qualification.

Research question

What is more valuable in a job industry, years of experience or a degree?

Study design

This research study is designed to prove the hypothesis that the employees with years of experience are more competent than the employees do with qualifications based on the degrees they possess. The study will be conducted by a team of researchers who will visit different companies to collect data from different employees. The team will be divided into groups of three individuals each whereby each group will visit a company at a time. Additionally, the team will be required to spend at most three days in a given company or organization while maintaining high ethical research standards. Prior to the visit, the contact to the respective companies will be made through emails and calls to seek for the permission to conduct the study in the organization. The suitable time of the day will be proposed by the company managers at which the study will be conducted. The sampling techniques, data collection method, and analysis are discussed in the sections below.

Population and sample

The study is going to utilize the data collected from the specifically targeted population, which includes different organizations dealing with different products and services. The group of companies to be selected ranges from manufacturing, processing, hospitality and tourism, and advertising companies among others. Moreover, the study will apply systematic sampling techniques in the identification of the companies to be selected (Swyngedouw, 2018, pp.13-24). Furthermore, after the selection of the companies, the research will alias with the human resource managers to be given access to interview at least three workers from every department and the heads of different departments or the managers who are responsible for a number of employees for data collection.

Variables and Measures

The study will focus on the workers in selected organizations as independent variables while the rate of hiring employees in the job market as the independent variable. The study will then seek to establish whether there exists a relationship between these variables through the analysis of data. To draw this relationship, correlation analysis could be used by the use of R-coefficients from the results to determine whether there is a linear or a non-linear relationship between the variables.

Data Collection Methods

Data collection methods depend on the type of data to be collected. For the study, the type of data to be collected will be the ratio. The ratio data will be preferred, as it will lead to insightful views such as the exact value between different sets of data. Additionally, they have the characteristics of absolute zero values, which gives a wide range of both inferential and descriptive statistics. Another advantage to the ratio data is the possibilities of the data variables to be measured through the calculation of the central tendencies by finding the mean, median, mode, and other measures of dispersion such as the standard deviation. This type of statistics is very insightful to the dependent variable of this study, the workers or employee data.

To ensure this type of data is collected accurately, the study will deploy the use of structured interviews to obtain data from the study sample and population. The structured approach will ensure there is effectiveness, fairness, legal protection, and the consistency in the collection of data. (Powney and Janet, 2018) further builds on the advantages of the structured interviews in data collection by claiming that they are suitable for reaching out to a large population sample, can make use of face-to-face or through electronic recording, and that the results can be projected to a larger population.

Data Analysis Methods

The selected data analysis technique is the quantitative approach. This method is selected as it is based on finding the evidence during analysis in order to either support or contradict an idea or a given hypothesis before drawing conclusions. Additionally, this method is suitable for the ratio data, for instance, identifying the ratio of the degree qualified employees to the ratio of qualification based on the years of experience. The method is also preferred due to its systematic approach that enables investigations in the trends of the numerical data collected. This will enable the researchers to organize, summarize, and provide an explanatory analysis to the findings. The quantitative analysis will also enable the presentation of data with tables, graphical display, and summarized statistics among other methods. Additionally, the correlation analysis will be deployed to analyze the relationship between the dependent and independent variables in the study.

References

 Powney, J., and Watts, M (2018). Interviewing in educational research. Routledge.

Swyngedouw, C. (2018). Sampling methods for site characterization. In Environmental Geochemistry (Second Edition) (pp. 13-24). Elsevier.