ABSTRACT
Purpose: The onset of covid 19 has introduced a paradigm shift in the modus operandi of the organizations across the globe. The rapidity of transformation had adversely impacted the lives and livelihood of and continued its strain in covid saturated regime. The pandemic has upended the business in Higher Education Institutions too, diluted the employee engagement, brought a transition in the organizational factors and resultantly aggravated the all-pervasive sufferings of the academicians. While each of the educational segment faced its unique challenges, prominently the Higher Educational Institutions underwent tremendous learning revolution. In the light of unearthing the intensity of disruption among the academicians, the present study is taken up to critically analyse the need for new business models due to the transition in the organizational factors. For the convenience of the study only the Bangalore based Private Higher Educational Institutions are considered. Design/Methodology/Approach: A strategically constructed 5-point Likert scale questionnaire in Goggle form was designed to obtain and evaluate the responses from the academicians of the Private Higher Educational Institutions in Bangalore. The population consists of 819 Private Colleges catering to the needs of the discipline of Arts, Science, Management and Commerce. Stratified random sampling technique is considered to collect the responses from each of the every10 faculties in each single mentioned department. With continued follow ups, the sizeable sample reached up to 389, slightly higher than the calculated samplesize for known population. The analysis was made by using the statistical tool: Wilcoxon Signed Ranks Test to check the sensitivity of transition in the organizational factors due to the pandemic. Findings: The chosen tool for the study does not demand the testing of the relation between the dependent and independent variables, hence no hypothesis being constructed. However, the Wilcoxon Signed Ranks Test showed that covid did make a statistically significant effect on the Organizational Factors, most predominantly the "Supportive of change" (Z=-14.821, p=0.000). 315 responses revealed the negative ranking which prompted a non-willingness of the organization to support the change in post covid scenario, 23 respondents on the contrary felt a negligible positive transition in the same organizational factors whereas the responses of the remaining 51 participants found to be neutral. The overall organizational effectiveness reported a diminishing trend in the post covid scenario. Research implications:The study is confined to Private Higher Educational Institutions in Bangalore. The study has used ranking test to identify the weightage of responses towards transition in organizational factors which invariably creates awareness among the academicians and the service providers too. In deep contrast with the pre covid scenario, the shift in organizational parameters would pave the way for future restructuring. The set of strategic suggestions provided in the present study could bring substantial change if implemented with care and caution. Originality/value: The originality of the study is checked through the available online plagiarism software and found to be within 10%. Paper type: Research paper
ABSTRACT
The epidemic of Covid-19 has created a disastrous situation around the globe. The spread of Covid-19 is drastically increasing day by day. Machine learning is one of the efficient tools to track the outbreak of the disease, forecast the probable confirmed and death cases as well as the fatality rate. This study applies multiple regression analysis which is one of the supervised machine learning algorithms to analyze and forecast the fatality rate. The study was conducted to predict the spread of Covid-19 in areas of Telangana, Andhra Pradesh, and India. R-Square (R2), Mean square error (MSE), Root mean square error (RSME) and Mean absolute error (MAE) are the main measures used to predict the accuracy of the algorithm. The results reveal that the case fatality rate is higher in Telangana compared to Andhra Pradesh and India, and more diseased cases are observed in Andhra Pradesh. The study was conducted with the available data;if sufficient data is available then the more precise predictions could be possible using multiple regression analysis. © 2020 Ubiquity Press. All rights reserved.
ABSTRACT
Covid 19 pandemic has disrupted work and working environment across the globe. In most economies the industry and services sector has borne the brunt of lockdown and shutdown. Thankfully, the banking sector and capital markets have been functioning without disruption. In order to ensure business continuity, various regulations have been relaxed and the flow of information to the markets is expected to be delayed. The same will be further complicated by the fact that the last quarter results of financial year 2019-20 and the at least first quarter results of the year 2020-21 is expected to be affected by the pandemic and hence make it difficult for analysts to compare, evaluate and predict. Similarly accountants are expected to face various problems in application of the accounting standards while finalizing the accounts and auditors while providing their audit reports. This article attempts to provide an overview of some of the regulatory responses and ways to tackle the anticipated challenges to disclosures and other accounting related issues.