Predicting the Individuals’ job satisfaction and determining the factors affecting it using the CHAID Decision Tree Data Mining Algorithm Case Study: the National Opinion Research Center of the United States

Farhad Sheybani

doi:10.24018/ejers.2019.4.3.1169

Abstract

As the general attitude of the individual about what he does, job satisfaction is the result of individual perceptions from the workplace and the factors and conditions in it; it is also influenced by his personality traits. Meanwhile, investigating job satisfaction is of great importance in advanced societies. The present study aimed to assess job satisfaction in the United States and evaluate the hypothesis of the existence of job dissatisfaction and the factors affecting it in the studied sample. The various social data, related to job satisfaction and collected by the National Opinion Research Center of the United States, are used in this study. The sample consists of different people including male and female samples from nine different states in the United States. For the purpose of this study, the patterns of data were discovered, and factors affecting job satisfaction were identified using the CHAID decision tree data mining method. Finally, it was found that a small percentage of people are dissatisfied with their job.

Highlights

Job satisfaction is a type of attitude according to experts, and they are defined it as the individual’s attitude toward the job and put, how someone feels about his/her job and its various aspects
As one of the major issues in organizational literature and one of the most important and most common research subjects in the field of organizational behavior studies [1]. more than 5,000 papers and theses have been prepared on job satisfaction [2]
The data mining tool was used to prepare this data and using the CHAID decision tree in Clementine 12.0 software, factors affecting job satisfaction were investigated in the sample individuals

Summary

INTRODUCTION

Job satisfaction is a type of attitude according to experts, and they are defined it as the individual’s attitude toward the job and put, how someone feels about his/her job and its various aspects. As one of the major issues in organizational literature and one of the most important and most common research subjects in the field of organizational behavior studies [1]. According to the recent studies, personality is one of the components that affects job satisfaction; there are inadequate results about the nature, characteristics and traits leading to job satisfaction [5]. Four categories of factors contribute to the formation of job satisfaction. The data mining tool was used to prepare this data and using the CHAID decision tree in Clementine 12.0 software, factors affecting job satisfaction were investigated in the sample individuals. The extracted results are expressed and suggestions will be given in the fourth section

Data-mining

Decision Tree

RESEARCH METHOD AND FINDINGS

CONCLUSIONS AND SUGGESTIONS