Intention is a human behavior. Measurement of intention in terms of entrepreneurial mindset is becoming a researchable topic. During the past years, the factors namely lack of fund, lack of raw materials, unskilled employees etc. were mostly considered to be the deterrents of initiation and development of entrepreneurial activities. But, with the various development provisions are made by the concern authorities, it leads to the emergence of entrepreneurial intention as an important factor. The present paper is a humble effort to develop a research model of the relationship between entrepreneurial intention, job satisfaction and organisation commitment.

Background and Objective: Coronavirus is spreading across the globe since December 2019. As India's first case was reported on January 30, 2020, the spread of this virus is experiencing by our population. As a result, there are extensive emotional distress and anxiety among populations due to this pandemic. Screening mental health is important for psychological well-being of any individual during this pandemic. The objective of this study was to validate the Coronavirus Anxiety Scale (CAS) in an Indian population. Materials and Methods: The research proposal was laid out before an ethical clearance committee, which approved the conduct of the research and consequent publication of the paper. Data were collected from 246 respondents through online. CAS, developed by Lee (2020), was adopted for the study. Informed consent was given by all the respondents, and their participation was voluntary. AMOS and SPSS were used to calculate confirmatory factor analysis and other statistical analyses. Bartlett's test of sphericity and Kaiser–Meyer–Olkin (KMO) test, and Cronbach's alpha, were also calculated. Convergent validity was calculated through average variance extracted (AVE) and composite reliability (CR) in Microsoft Excel. Results, and Conclusions: Bartlett's test of sphericity was highly significant measuring Chi-square = 494.004, df = 10, and P < 0.001. The KMO was acceptable at 0.805. Fit indices (P < 0.001, Chi-square/df = 3.24, goodness of fit index = 0.976, Tucker–Lewis index = 0.954, and comparative fit index = 0.977) are statistically significant. Cronbach's alpha coefficient (0.822), AVE (0.526), and CR (0.745) were adequate. The overall findings of the analyses demonstrate that the CAS is a reliable and valid scale that evaluates the severity levels of dysfunctional anxiety linked to COVID-19 in an Indian sample. CAS is applicable to measure the level of dysfunctional coronavirus anxiety in the Indian population.

This study aimed to scrutinise entrepreneurial intention among the postgraduate management students in India. In this research activity, the theory of planned behaviour questionnaire with 21 items was adopted. Data were collected through Google Forms questionnaire from 310 postgraduate management students of 8 Central universities in northeastern region of India. Cronbach’s alpha reliability test, correlation, regression and analysis of variance were used to analyse the collected data. As a result of analyses, the independent variables, namely attitude towards the behaviour, subjective norm and perceived behavioural control, had a positive relationship with entrepreneurial intention of the respondents. The study concluded that the respondents had significant positive entrepreneurial intention. It was also found that only 47% of entrepreneurial intention could be measured by the three independent variables of theory of planned behaviour, and 53% were the other factors remained behind that could not be identified by these variables.

The importance of e-learning has become very significant across the globe in recent decades. India, with a burgeoning learning environment and huge prospect of human capital is at the forefront of such changes. As a result, stakeholders are increasingly opting for extensive use of available technologies in this context. The objective of this study is to draw the factors influencing the adoption of e-learning technologies by school teachers. Data collected from 85 teacher respondents through Google Forms questionnaire were analysed. Principal Component Analysis with Varimax rotation was then applied for the study. As a result of analysis, five factors were drawn and renamed as Prospects: perceived and real; Facilities: availability and accessibility; Material challenges; Assured outcomes and Skill-based challenges. The overall findings of the study conclude that these five factors influence the adoption of e-learning technologies.

BACKGROUND AND OBJECTIVE: The spread of COVID-19 across the globe develops psychological disturbance to the population. People are always trying to protect themselves from this pandemic through transmission mitigation behavioral (TMBs) practices. The understanding and practice of the exemplary coronavirus TMBs will help the population to fight the disease effectively and efficiently. This study draws the exemplary coronavirus TMBs among the Indian population and constructs a viable model to study these behaviors. METHODS: Data collected from 238 valid respondents through online were the sample of this study. TMB items were collected from the publications of the Ministry of Health and Family Welfare, Government of India, and World Health Organization, Regional Office for Europe. AMOS, SPSS, and Microsoft Excel were used for statistical calculations. Confirmatory Factor Analysis (CFA), Bartlett's Test of sphericity and Keiser–Meyer Olkin (KMO) test, Cronbach's alpha, Principal Component Analysis (PCA), Average Variance Extracted (AVE), and composite reliability (CR) were calculated for the analysis of data. RESULTS, INTERPRETATION, AND CONCLUSIONS: Based on the existing literature, three out of 14 TMB items was dropped, and CFA was run for the remaining 11 items. The result of CFA identified a 5-component structure. Bartlett's test of sphericity was significant at P < 0.001, and KMO measure was acceptable at 0.83. The model fit indices (λ2/df = 1.43, goodness of fit index = 0.953, adjusted goodness of fit index = 0.925, normed fit index = 0.914, Tucker-Lewis Index = 0.962, comparative fit index = 0.972, and root mean square error of approximation = 0.043) and convergent validity (AVE = 0.41 and CR = 0.88) were acceptable. Based on the statistical results, the hypothesized model is fit to examine the 11 TMB items. The 3-factor model with 11 TMB items can be adopted for further replication study, and effective practice of these items is the first-line intervention to fight the spread of coronavirus.