Towards a Practical Study: Unraveling Job Satisfaction Through Models and Measurement Tools
DOI:
https://doi.org/10.36941/jesr-2024-0053Keywords:
Job Satisfaction, Measurement model, Measurement Tests, Minnesota Satisfaction QuestionnaireAbstract
This paper conducts a thorough comparative analysis of job satisfaction measurement models, with a specific focus on the Job Characteristics Model (JCM) by Hackman and Oldham (1976) and Herzberg's Two-Factor Theory. The JCM identifies crucial characteristics influencing job satisfaction, emphasizing psychological states, while Herzberg's Theory categorizes factors into hygiene and satisfaction. The study delves into the applications and strengths of each model, offering insights into their effectiveness in diverse organizational contexts. Furthermore, the analysis extends to a detailed examination of various job satisfaction measurement tests, considering factors such as test duration, number of items, and the nature of the measurement. From the concise "VAN" to the detailed "Minnesota Satisfaction Questionnaire (MSQ) - Long," each test is scrutinized for its unique contributions and limitations. The study provides a nuanced understanding of different approaches to job satisfaction assessment, catering to the varied needs of researchers and practitioners. In the context of the comparative analysis, the paper sheds light on the trade-offs between brevity and depth in measurement processes. Tests like the "Overall Job Satisfaction Scale" and "Global Job Satisfaction Questionnaire" offer quick assessments suitable for an overall evaluation, while the "Minnesota Satisfaction Questionnaire (MSQ) - Long" allows for a more comprehensive exploration of diverse facets. The findings guide researchers and practitioners in making informed choices based on the specific goals of their studies, ensuring a tailored and effective approach to measuring job satisfaction.
Received: 12 February 2024 / Accepted: 30 April 2024 / Published: 5 May 2024
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.