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The purpose of this paper is to investigate the impact of three predictors (emotional intelligence, perceived supervisor support and work–life balance) on employee engagement.

The employee engagement and its predictor variables considered have been assessed by a survey using a structured questionnaire. Data were collected for 628 government school teachers of Punjab state of India. SEM using SmartPLS software was used to estimate the relationship between employee engagement and its predictors (emotional intelligence, perceived supervisor support and work–life balance).

The results reveal that the three predictors (emotional intelligence, perceived supervisor support and work–life balance) have a significant positive impact on employee engagement of the government school teachers.

School authorities need to draft teacher-friendly policies so that teachers can stay deeply engrossed in their work and can handle work and family demands. Engaged teachers brim with positive energy, thereby energetically and vigorously preoccupying themselves in their work, leaving no time and space for negative thoughts.

The influence of emotional intelligence, perceived supervisor support and work–life balance on employee engagement of government school teachers is unprecedented. The study also tested the model in a holistic manner. Since the study is based on an Indian sample, it also adds to growing literature on employee engagement in nonwestern countries. The results are of great value to government authorities, school managements, HR managers and policymakers who are seeking to develop practices that enhance employee engagement at workplaces.

This study aims to identify various socioeconomic variables that influence the development of work alienation among Indian bank employees.

Data were collected from a sample of 552 employees working in ten public and ten private sector banks in Punjab. Statistical techniques such as the independent sample t-test, Welch’s F-test, and Games–Howell procedure were used for data analysis.

Results of this study indicated that socioeconomic variables, namely, age, educational qualification, monthly income, and work experience, significantly influence work alienation among bank employees. In contrast, gender, marital status, type of bank, and cadre did not have any significant relationship with work alienation.

This study is one of the limited research studies that has examined the linkage between socioeconomic variables and work alienation in the context of the banking sector of a developing nation like India.