Relationship Between Job Satisfaction and Career Intent of D.P. Personnel in the Korean Military E.D.P. System.

Abstract

This study examined the relationship between several job related variables and the career intent and job satisfaction of R.O.K. military data processing personnel. The purpose is to provide useful information for retention and effective use of military data processing personnel. Variables measured for 193 military data processing personnel using a Quality of Life survey were analyzed to determine their relationship to job satisfaction and career intent using multiple regression analysis. To assist in the selection of variables for the regression analysis, and to simplify the interpretation of results, contingency table analysis, pearson correlation analysis, frequency analysis, and factor analysis were used. The results were the following: The job satisfaction of the R.O.K. military data processing personnel appeared to be high while the career intent of the same population seemed to be low. The level of job satisfaction seemed to be closely related to satisfaction with the work itself and significantly affects career intent. But job environmental factors seemed to affect career intent more than job satisfaction. Among these job environmental factors, monetary rewards seemed to be the most important issue.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1980
Accession Number
ADA083906

Entities

People

  • Cho Kil Sang

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Behavioral Sciences
  • Business Administration
  • Correlation Analysis
  • Data Processing
  • Data Science
  • Economic Security
  • Factor Analysis
  • Information Processing
  • Information Science
  • Job Satisfaction
  • Management Personnel
  • Quality Of Life
  • Regression Analysis
  • Security
  • Social Sciences
  • Surveys

Fields of Study

  • Psychology

Readers

  • Occupational Health and Safety.
  • Regression Analysis.
  • Systems Analysis and Design