An employee performance forecasting overview typically outlines the key
components and objectives of a forecasting model developed to assess employee
effectiveness in the workplace. Such models include employee demographics, jobrelated factors (job description, tenure, etc.), performance metrics (sales figures,
customer feedback, etc.), and psychometric scores (personality traits, cognitive
abilities). The goal of such models is to identify the factors most strongly associated
with high performance and use this information to predict future employee success.
This chapter describes potential challenges and limitations associated with the
predictive models, such as ethical concerns about the use of personal data, the potential
for bias or error in predictive algorithms, and the need to balance the benefits of
predictive modeling with concerns about employee privacy and autonomy.
Keywords: Employee performance, Ethical concerns, Predictive models.
