ABSTRACT
The outburst of the pandemic COVID-19 in 2019 from the land of China to the entire world has brought a major change in people's living style. The severity of the disease is so much that more than 20 million people are affected by it worldwide. The recommended preventive measure to avoid the spread of this fatal disease is to maintain social distance leading to a significant economic disruption that could submerge the economies globally. However in order to keep the economies moving, the work from culture is adopted globally wherein the employees are connected via the internet and the work continues to happen. This paper aims to discover how people adopt such an attempt in the working culture. Also, the purpose of the paper is to find out its bearing on the employees' working capacity and whether they would like to continue with this arrangement in the future. The research employs primary data collected from 400 employees across various industries who are currently working from home. The research proposes advantages and challenges in working from home with a majority of employees preferring the method. © 2021. International journal of online and biomedical engineering. All Rights Reserved.
ABSTRACT
Over the years the global economy, including India, has undergone a profound change and observed a pioneer role of innovation and technology in every sector. Rapid technological dissemination has seen human or physical touch points being replaced by digital interface. With digitization happening everywhere, it becomes all the more important for the education sector to adapt it in order to keep pace with the challenging world. With the onset of the global pandemic of Covid-19, the only option left with the education sector is to switch to online classes for its smooth and continuous working. This research aims to investigate the challenges that are faced by the students and their level of satisfaction from these classes. The study is based on primary data collected from 700 students of various colleges across Universities in India. The study employs regression models, crosstabs, and various other descriptive statistics for analysis of the data. The findings of the study suggest that the students face a lot of glitches while learning from the online mode of education and would need time to adjust. The research also provides an insight on the scope and the future of online education. © 2021. All Rights Reserved.
ABSTRACT
Purpose The stigmatisation of COVID-19 patients or suspected cases is a matter of grave concern across the world, including India. Today, COVID-19 patients or suspected cases are being stigmatised or labelled as "corona carrier" and "corona spreader" because of which they are facing social rejection, mental torture, abusive behaviour and violence in the society. The objectives of the present study are to examine the nature of stigma construction in Indian society during COVID-19 pandemic and to explore its outcome on the well-being of corona-affected people. Design/methodology/approach The study uses content analysis method to explain the COVID-19 stigma. The data have been collected from various Indian newspapers and magazines. The researchers have analysed the content of the news items related to social stigma which were collected from March to September 2020. Findings The study finds that COVID-19 patients or suspected cases are insulted and discriminated rudely by their family members and neighbours, and in many cases, they are not allowed to enter the house or the neighbourhood. The study has also pointed out that many COVID-19 patients or suspected cases have committed suicide as a result of being stigmatisation. Finally, the study explores that this social stigma is spreading due to fake news, lack of awareness and fear of corona infection. Originality/value This is an original paper which is based on content analysis. The present study focuses on the social stigma in Indian society during COVID-19. Basically, the present study has applied the theory of Erving Goffman which is based on stigma to examine the nature and problem of social stigma during COVID-19. The study has found that there are three types of social stigma during the corona pandemic: self-made stigma, family-made stigma and society-made stigma.
ABSTRACT
Purpose: The present paper tries to probe the COVID-19 breakout effect on the stock markets by drawing shreds of evidence from India. Design/methodology/approach: Secondary data has been used and retrieved from the BSE and NSE portal in this study. The study covered the period July 1, 2019, to March 11, 2020, as "pre-COVID period" and March 12, 2020, to July 9, 2020, as "post-COVID period" Welch's t-test, popularly known as unequal variance t-test, and non parametric Mann-Whitney U test are used to compare the opening, highest, lowest, and closing prices across the two periods of the major stock indices;Nifty 50, Nifty 500, Nifty 100, Nifty Midcap 150, S&P BSE Sensex, S&P BSE 500, S&P BSE Midcap, and S&P BSE All Cap. We further extended our study by employing a multiple regression model for the post-COVID period to identify the repercussions of the spread of the virus and lockdown on the stock indices' prices. Findings: Both Welch's t-test and Mann-Whitney U-test indicated a significant (I% significance level) negative impact of the Covid-19 pandemic on the Indian stock market. Multiple regression model confirmed a significant (significant at I%) positive effect of a rise in the COVID-19 cases on the stock market, and COVID-19 related deaths do not significantly impact even at 10% level. Furthermore, the results revealed a significant (at I% level of significance) fall in the prices due to an increase in the lockdown days. Originality/value: These outcomes contribute to the literature by looking at Coronavirus's economic consequences by drawing evidence from the Indian stock market. This study provides insights into the policymakers and corporates into the economic repercussions of COVID-19.