The study examines the relationship between Quality of work life (QWL) and job performance among the faculty of technical institutions in the state of Punjab, India. Data collected from a sample of 445 respondents through a structured questionnaire have been put to data analysis with the help of the Statistical Package for the Social Sciences (SPSS 20). Four factors that are associated with QWL (i.e., management policies, fair pay, work environment, and job design & social space) have been identified through Exploratory Factor Analysis (EFA). Subsequently, the relationship between the

Purpose: The study aims to find out various factors associated with the quality of work-life (QWL) among faculty working in technical institutes in the state of Punjab, India. Design/Methodology: Data have been collected by judgement sampling—a non-probability sampling technique with a self-designed questionnaire which has been administered to the faculty of various technical institutes (both private and government promoted) situated in the state of Punjab. The data have been analysed with the help of Statistical Package for Social Sciences (SPSS) 20 through Reliability analysis, Kaiser–Meyer–Oklin (KMO) test, Bartlett’s test of sphericity. Thereafter, factor analysis is used to identify the factors associated with the QWL. Findings: Seven factors are identified: management policies, work environment, fair salary and rewards, training and development opportunities, job design and life space, job/social security and grievance handling. Besides these, the factorial validity (convergent and discriminant validity) is also established. Originality: Vast literature is available on the area under study but perhaps none of the studies has been conducted to investigate QWL of faculty in the technical education sector. The implications of these findings will have a significant role in improving the understanding of factors associated with work-life quality of the faculty.

This study examined the relationship among four dimensions of emotional intelligence (EI) as predictor variables vis-à-vis five dimensions of organizational citizenship behaviour (OCB) and in-role behaviour (IRB) as criterion variables. Sample constituted of 250 superior-subordinate dyads working on technical and non-technical jobs in power plants in India. Canonical correlation analysis and hierarchical multiple regression analysis have been applied to investigate the relationship between the two sets of variables. Demographic variables have been controlled, to find the unique variance in the prediction of criterion variables. Significant relationship was found between emotional intelligence dimensions and outcome variables with R c = 0.569. Among the outcome variables, sportsmanship had the highest canonical loading and IRB had the lowest canonical loading. Canonical loadings for predictor canonical variate were highest for utilization of emotion and lowest for perception of emotion. Sensitivity analysis was carried out to validate the results obtained through canonical correlation analysis by removing individual independent variable at a time. The results showed little difference, indicating stability of the results. Overall the results established significant relationship among the predictor and criterion variables. However, the dimensions of EI were better in predicting OCB dimensions as compared to IRB of the respondents.

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