Sentence examples for predict turnover from inspiring English sources

The obtained model makes it possible to predict turnover based on various inputs (variables affecting turnover).

This paper focuses on using a neural network (NN) to predict turnover.

Similarly, a South African survey also supported this study in that increasing age was found to predict turnover intent.

Job satisfaction is a major feature of nursing turnover research [ 1] more so than perhaps any other factor and is frequently used to predict turnover.

This paper is aimed at discussing the impact of social exchange in predicting turnover intentions among professional workers and the mediating role of personality in this relationship.

Thus, human resources planners and managers in Iranian telecommunication industry can use fuzzy inference system for predicting turnover in order to support decision-making and develop strategies and plans for retention of their knowledge workers.

The predicted turnover in North America's fleet of electric generation, and the diverse sources (e.g., natural gas, nuclear, coal, wind, photovoltaic, solar thermal) suggests great uncertainty in both type and geographic location of the future generation mix.

Two variables, network centrality and interpersonal citizenship behaviour, predicted turnover with effects above and beyond the effects of job satisfaction.

Although other studies have demonstrated that nurse absenteeism predicts turnover (11, 48, 55), we could not find similar or comparable studies on moonlighting and intention to leave in other low- or middle-income country settings, or even in high-income countries.

This would bring the predicted turnover number for MCT1 in rat erythrocytes to approx. 85 s−1 which is similar to the value of 35 s−1 determined for the glucose transporter GLUT1 in rat erythrocytes at 20 °C [ 46, 47], but approx. 5-fold less than the kcat determined for endogenous human GLUT1 in erythrocytes or when overexpressed in Xenopus oocytes [ 48].

For instance, modern-day theory is able to predict the turnover frequency of an industrially relevant catalytic reaction in a semi-quantitative way.