ABSTRACT
The Home Appliance industry is going through an unpredictable situation due to corona virus. Customers' preferences are also changing from time to time. Authors have discussed various variables and their impact on the consumer purchasing decision and revealed how much brand influences the consumer compared to other factors while purchasing appliance products. Corona virus outbreak is continuously hitting the Indian economy and directly impacting the Appliance Industry. This research work also aims to address the change in consumer habits before and after corona virus. The convenience sampling method is used in this research to collect the sample data. The help of Quantitative methods does interpretation of research. From the end of December 2019, the COVID-19 pandemic began to spread around the world. Its spread harmed all sectors of the world, posing a new challenge to the Indian entrepreneurship ecosystem. It had an impact on the enterprise's viability and growth. Entrepreneurs must deal with social isolation, working from home, travel restrictions, and a lockdown to prevent the corona virus spread. Some businesses have had to close temporarily, while others have had to conduct small-scale operations. As a result, innovators must be visible in all aspects of entrepreneurial endeavors. This epidemic's carriers must be defeated. Businesses must find ways to survive and thrive.Copyright © 2022 Novyi Russkii Universitet. All rights reserved.
ABSTRACT
The Home Appliance industry is going through an unpredictable situation due to corona virus. Customers' preferences are also changing from time to time. Authors have discussed various variables and their impact on the consumer purchasing decision and revealed how much brand influences the consumer compared to other factors while purchasing appliance products. Corona virus outbreak is continuously hitting the Indian economy and directly impacting the Appliance Industry. This research work also aims to address the change in consumer habits before and after corona virus. The convenience sampling method is used in this research to collect the sample data. The help of Quantitative methods does interpretation of research. From the end of December 2019, the COVID-19 pandemic began to spread around the world. Its spread harmed all sectors of the world, posing a new challenge to the Indian entrepreneurship ecosystem. It had an impact on the enterprise's viability and growth. Entrepreneurs must deal with social isolation, working from home, travel restrictions, and a lockdown to prevent the corona virus spread. Some businesses have had to close temporarily, while others have had to conduct small-scale operations. As a result, innovators must be visible in all aspects of entrepreneurial endeavors. This epidemic's carriers must be defeated. Businesses must find ways to survive and thrive.
ABSTRACT
Energy consumption in the home increases recently due to the extremely hot or cold weather. Because of COVID 19, many people stay in the home and energy consumption in the home is increasing very much. Moreover, many homes are using new electric home appliances such as dishwasher or washer dryer which consumes much electric energy for a long duration. To reduce electric energy consumption and use energy more efficiently, the usage pattern of the home appliance should be analyzed. In the paper, we propose a pattern analysis method of the home appliance using Boosting technique. Boosting method is a sort of ensemble machine learning algorithm and is based on the decision tree. The correlation between home appliance usage can be analyzed with the result of feature importance in boosting algorithm. To verify the method, we analyzed the electric usage record in the UK with boosting algorithm. © 2022 IEEE.