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On April 30, 2024, the Business Administration Department hosted a successful seminar titled “Developing Logistic Regression Model to determine the most important Factors influencing Job Satisfaction”.
The seminar addressed a keen audience interested in understanding how to analyze factors affecting job satisfaction using logistic regression models. Dr. Obaid Mahmood, a distinguished presenter in the field, led the session.
Dr. Mahmood’s presentation delved into the theory and application of logistic regression, a statistical method used to analyze the relationship between a dependent variable (in this case, job satisfaction) and one or more independent variables (potential factors influencing job satisfaction).
The seminar likely explored how logistic regression can be used to identify which factors have the most significant impact on job satisfaction. This knowledge is crucial for organizations seeking to improve employee morale, retention rates, and overall productivity.
By understanding the key drivers of job satisfaction, businesses can implement targeted strategies to create a more positive work environment for their employees. These strategies might include improving compensation and benefits packages, fostering a strong company culture, or offering opportunities for professional development.
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