INVESTIGATING THE RELIABILITY OF CHATGPT IN ASSESSING JOB SATISFACTION

Abstract

Today, there is increasing controversy surrounding the use of artificial intelligence software and programs. Although many organizations are attempting to boost their performance by utilizing the potential of artificial intelligence, controversy about the technology's reliability prevails. This study investigates the reliability of ChatGPT in measuring job satisfaction. The Minnesota Job Satisfaction Questionnaire (MSQ), a reliable scale, and ChatGPT results were compared using the Pearson correlation coefficient Correlation technique. The SPSS 25 analysis findings revealed a strong connection between the two questionnaires. This proves that ChatGPT is a reliable tool for assessing job satisfaction. The ability of the questionnaire to correctly predict the MSQ results provided more evidence of the questionnaire validity. However, the study was limited in its sampling in terms of variety. Additionally, the sample size of the study was relatively small and restricted to almost one organization. The results of this study point to ChatGPT as a potential technology for gaging employee engagement and job satisfaction in businesses. These findings may have consequences for further research on these topics.

Keywords

• ChatGPT
• Job Satisfaction
• MSQ
• Organizational Behaviour
• Artificial Intelligence

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