Job Satisfaction: Application, Assessment, Causes, and Consequences

· SAGE Publications
Ebook
104
Pages

About this ebook

Job Satisfaction is the most frequently studied variable in organizational behavior research. This new book provides an overview of the vast literature on this topic. The nature of job satisfaction is discussed along with techniques for assessing job satisfaction including existing scales and new instruments. In addition, the book summarizes the findings concerning how people feel about workùincluding coverage of cultural and gender differences in job satisfaction. Possible reasons for job satisfactionùboth personal and organizationalùare explored as well. The book concludes with a discussion of the potential consequences of job satisfaction and dissatisfaction. Those using this volume for study or classroom purposes will particularly appreciate the extensive list of references and the Job Satisfaction Survey included in the Appendix. Job Satisfaction is written for professionals and students in business, management, organization studies, human resources, industrial psychology and public administration.

About the author

Paul E. Spector is a distinguished professor of industrial/organizational (I/O) psychology and I/O doctoral program director at the University of South Florida. He is also director of the NIOSH funded Sunshine Education and Research Center's Occupational Health Psychology doctoral program. He is the Associate Editor for Point/Counterpoint for Journal of Organizational Behavior, Associate Editor for Work & Stress, and is on the editorial boards of Journal of Applied Psychology and Human Resources Management Review.

He has research interests in both content and research methodology. His content research concerns occupational health and safety, including injuries, stress and workplace violence. His methodology interests involve the connections among measurement, statistics, and inference. He has published four books with SAGE: Job Satisfaction: Applications, Assessment, Causes and Consequences, Research Designs, SAS 8 Programming for Researchers and Social Scientists, and Summated Rating Scale Construction.

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