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.
P.E. Spector (2006), Industrial and Organizational Psychology: Research and Practice, 4th edition, Wiley, New York.
C. J. Cranny, P.C Smith, E.F. Stone, (1992), Job Satisfaction, Lexington Books, New York.
P.E Spector, (1997), Job Satisfaction Thousand Oaks, CA: Sage publications Inc.
A.F Kinicki, R. McKee, C, Schriesheim., K.P Carson, (2002), Assessing the Construct Validity of the Job Descriptive Index: A Review and Meta-Analysis, Journal of Applied Psychology, Vol. 87, 1, PP. 14-32.
W Jouge, (2000), Persona; Characteristics & Job Satisfaction of Greek Teachers, Journal of Organizational Behavior.
P.S, Topolosky, (2000), Linking Employee satifaction To Business Results, Garland Publishing Inc, New York.
Adriaans P., (1999), Introduction to Data Mining and Knowledge Discovery, Two Crowns Corporation.
O. A. Gashteroodkhani, M. Majidi, M. Etezadi-Amoli, A. F. Nematollahi, B. Vahidi "A hybrid SVM-TT transform-based method for fault location in hybrid transmission lines with underground cables" Electric Power Systems Research, vol. 170, pp. 205-214, 2019.
M. Mirmozaffari, A. Alinezhad. “Ranking of Heart Hospitals Using Cross-Efficiency and Two-stage DEA,” 7th International Conference on Computer and Knowledge Engineering (ICCKE 2017), Ferdowsi University of Mashhad, 978-1-5386-0804-3/17/$31.00 ©2017 IEEE. October 26-27, 2017.
M. Mirmozaffari, & A Alinezhad, (2017), Window Analysis Using Two-stage DEA in Heart Hospitals. International Conference on Innovation in Science, Engineering Computer and Technology (ISECT), Dubai (UAE) Oct.
M. Mirmozaffari, (2018), Eco-Efficiency Evaluation in Two-Stage Network Structure: Case Study: Cement Companies, Iranian Journal of Optimization. Volume 11, Issue 2.
O. A. Gashteroodkhani, M. Majidi, M. Etezadi-Amoli, "A Fuzzy-based Control Scheme for Recapturing Waste Energy in Water Pressure Reducing Valves" IEEE Power and Energy Society General Meeting (PESGM), pp. 1-5, Portland, OR, Aug 2018.
This work is licensed under a Creative Commons Attribution 4.0 International License.
The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.
Submission of the manuscript represents that the manuscript has not been published previously and is not considered for publication elsewhere.