Shaping Outcome of Need Satisfaction On Commitment: A Case of Indian Railways

The work investigates the correlates of organizational commitment and the percentage to which, need satisfaction predicts commitment in Logistic Regression Model. A Logistic Regression model hypothesizing relationships among need satisfaction as predictors and commitment to the organization as criterion was developed. Data from 400 Rail Engine Drivers (critical workforce of the Indian Railways) supported the existence of differential relationships between need satisfaction and organizational commitment. Predicting whether an employee low/high committed, as well as identifying the needs useful in making the prediction, is important in most academic/professional disciplines as well compared with the observed outcomes. Of the drivers with low commitment, 55.71% and in high commitment group 68.28% were correctly classified. Overall, 62.11% of the drivers were correctly classified. Implications, intervention tips for human resource development and limitations were discussed.