This study is an attempt to examine the application and usefulness of social media and mobile devices in transferring the resources and interaction with academicians in higher education institutions across the boundary wall, a hitherto unexplained area of research. This empirical study is based on the survey of 360 students of a university in eastern India, cognising students' perception on social media and mobile devices through collaborative learning, interactivity with peers, teachers and its significant impact on students' academic performance. A latent variance-based structural equation model approach was followed for measurement and instrument validation. The study revealed that online social media used for collaborative learning had a significant impact on interactivity with peers, teachers and online knowledge sharing behaviour. Additionally, interactivity with teachers, peers, and online knowledge sharing behaviour has seen a significant impact on students' engagement which consequently has a significant impact on students' academic performance. Grounded to this finding, it would be valuable to mention that use of online social media for collaborative learning facilitate students to be more creative, dynamic and researchoriented. It is purely a domain of knowledge.

The aim of this paper is to explore the influence of training and development on employee’s performance through different dimensions. Moreover, this study proposes a model in the area of human resource development to be used for testing and improving the performance of employees in the Indian travel and tourism sector. An integrated model was developed highlighting the relationship between the training and development and employee performance. Using the sample of 146 employees, structural equation modelling (SEM) was employed to validate the hypothesized relationship by evaluating the responses of employees working in the Indian travel agencies. The findings of this study demonstrate a strong relationship between training and development and employee performance in the travel industry and also can be used by managers and HR professionals for organizing exclusive training programs for improving employee's performance based on the dimensions used in this paper. The present study provides an empirical and theoretical explanation of different dimensions associated with training and development and employee performance, especially in the Indian tourism industry.

An attempt has been tried to explore the personality factors in predicting employee engagement among the middle-level employees in the IT industry. Based on an empirical investigation of 383 middle-level employees working in IT firms, the researcher cognizes their perception of various personality-related factors extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience. The present study was exploratory in nature. A variance-based structural equation model (SEM) approach was adopted for the measurement of the model. The study confirmed that personality-related factors extraversion, conscientiousness neuroticism, and openness to experience significantly related to employee engagement. In addition to this extraversion, conscientiousness, neuroticism, openness to experience significantly predicted employee engagement, contrary, the insignificant effect was seen of agreeableness on employee engagement. Grounded to this study, it is strongly recommended that individual possess the extraversion, neuroticism, openness to experience, and conscientiousness qualities seen to be more engaged in their job while agreeableness person is seen to be less engaged. The corporate entity herein suggested that to keep the talented and valuable employees, must strategically think about these factors. To the best of my belief, this is the first and foremost article that address the personality-related factors in predicting employee engagement in the Indian context.

Purpose This paper aims to investigate the influence of corporate social responsibility (CSR) on employee engagement (EE) through mediating effect of personal environmental norms (PEN) and employee green behavior (EGB). Design/methodology/approach The proposed model was validated using 360 employees data from manufacturing and service industries. Findings The findings confirmed that CSR is the positive and significant driver of EE. The results also demonstrated PEN and green employee behavior partly mediate this relationship. Practical implications The finding of this study enriches the existing literature and social outcomes of CSR. Theoretical and practical contributions have been discussed in detail. Originality/value The study demonstrates CSR is significantly related to EE, mediated via PEN and EGB, highlighting the necessity for micro-level CSR research. To the best of the authors’ knowledge, this is the first and foremost empirical research that establishes the mediating effects of PEN and EGB between CSR and EE in the Indian context.

The term misinformation on social media has got significant attention in public sermons over the last few decades. This research article explores the growing tendency of misinformation on social media, how it influences people and prescribes insightful measures to counter the spreading of misinformation on social media. Systematic Literature Review (SLR) was employed on the three databases; Google Scholar; Scopus, Web of Science, following keywords; "misinformation", "disinformation", and "social media". A total of 34 articles were finally found suitable for the study. This study confirmed that self-motive and election campaigns are the major causes of misinformation on social media. This study manifested that machines can detect fake news to some extent but cannot be relied upon solely. Human intervention is equally important in identifying misinformation. Moreover, an efficient conceptual model has been proposed to counter the misinformation spread on social media

The phenomenon of taking and sharing selfies on social networking sites (SNSs) has become pervasive in everyday life. This empirical study was carried out to investigate significant predictors of selfie-posting behavior. A web-based survey was conducted on social media users geographically located in Lucknow (India). A total of 1073 social media users participated in the survey. Structural Equation Modelling (SEM), an interdependence technique, was employed for the measurement and the structural relationship among the latent factors. The study confirmed that self-esteem and narcissism are significant predictors of selfie-posting behavior. However, exhibitionism is not a significant predictor of selfie-posting behavior. Moreover, self–esteem is also a significant predictor of narcissism. The findings of the present study underline that Facebook (26.3) per cent was a top platform for groupies selfie posting; similarly, WhatsApp (25.8) per cent was noted as the top platform for individual selfie posting.