Enhancing workforce retention in the engineering sector: machine learning-driven turnover prediction models

What is it about?

Employee turnover is a major challenge in the engineering industry in Jordan, and this paper uses machine learning to predict which employees are most likely to leave. By analyzing data on factors like organizational commitment and career development, the study demonstrates how advanced algorithms can help companies proactively address turnover risks and improve retention.

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