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The purpose of the present study is to investigate the mediating effect of organizational engagement in the relationship between supportive work environment (SWE) and employee retention.

Primary data of 211 respondents from 67 organizations were analysed. Confirmatory factor analysis was used to assess the dimensionality and validity of study variables. Further, the hypothesized model was tested with the help of multiple regression analysis.

The findings suggest that SWE plays a crucial role in predicting employee retention. Organizational engagement partially mediates the relationship between SWE and employee retention.

The data were limited to the Indian setting and of cross-sectional design only; so, it may not be generalized across the world. Further, the sample size is also comparatively smaller but the results are not affected adversely.

The role of SWE along with organizational engagement is currently under-researched in the Indian context. The present study is an intense effort to analyse the mediating effect of organizational engagement in the relationship between SWE and employee retention.

This study aims to develop a model to predict non-violent work behaviour (NVWB) among employees using machine learning techniques.

Four machine learning techniques (Naïve Bayes, decision tree, logistic regression and ensemble learning) were used to develop a prediction model for NVWB of employees. Also, 10-fold cross-validation method was used to validate the NVWB prediction models. The confusion matrix is used to derive various performance matrices to express the predictive capability of NVWB models quantitatively.

The model developed using random forest technique was identified as best NVWB prediction model, as it resulted in highest true positive rate and true negative rate, thereby resulting in the highest geometric mean, balance and area under receiver operator characteristics curve.

To the best of the authors’ knowledge, this is one of the pioneer studies that used machine learning techniques to develop a predictive model of NVBW.

The present study aimed to evaluate the psychometric properties of the short form of personal optimism and self-efficacy optimism-extended (POSO-E) among Indian teachers.

Two studies were conducted to adjudge the reliability and validity of the scale. In the first study, the sample of 510 respondents was randomly divided into subsamples. The first subsample was subjected to the Exploratory Factor Analysis which yielded a two-factor solution explaining 71.02% of the variance. This model was subjected to the Confirmatory Factor Analysis using a second subsample. Acceptable model fit indices suggested factorial validity of the two-dimensional POSO-E among Indian teachers. In the second study, acceptable Cronbach's alpha and composite reliability estimates (greater than 0.70) indicated the scale's reliability. Also, as expected, personal optimism, self-efficacy optimism and overall optimism reported a positive correlation with spiritual well-being and a negative association with distress. It confirmed the criterion validity of the POSO-E among Indian teachers.

The results showed appreciable psychometric properties of the POSO-E in the context of Indian teachers. The study offered a valid and reliable scale to measure teachers' optimism levels. It is poised to generate renewed interest among scholars to emphasize teachers' positive and optimist thinking. The findings also reported a positive association between teachers' optimism and spiritual well-being. It suggests that spiritual practices and interventions could be used to develop an optimistic academic workforce.

The study is one of the pioneer studies that evaluated the reliability and validity of the POSO-E among Indian teachers.

The purpose of this study is to assess the effect of perceived role clarity on innovative work behavior (IWB) through the mediation of intrinsic motivation and job involvement.

The data were gathered from 613 employees belonging to 196 organizations operating in India. Data were analyzed using statistical tools such as exploratory and confirmatory factor analysis, multiple regressions and bootstrapping via PROCESS.

Initially, the results of correlation and multiple regression analyses indicated that the perceived role clarity has positive relation with intrinsic motivation, job involvement and IWB. Further, bootstrap analysis revealed that intrinsic motivation and job involvement individually and serially mediate the effect of perceived role clarity on IWB.

The study highlights the importance of the perceived role clarity in developing positive work attitudes and innovative behavior among employees. Self-reported survey and cross-sectional design are the limitations of the current study.

The study suggests that organizations should strive constantly to enhance perceptions of role clarity among employees so that they remain motivated and involved in their jobs and exhibit innovative behavior at work.

To the best of the authors’ knowledge, this is the only study to test the impact of perceived role clarity on IWB with the serial mediation of intrinsic motivation and job involvement.