ABSTRACT
In the early months of 2020, pandemic covid-19 hit many parts of the world. Especially developing countries like India observed a negative growth rate in few quarters of last financial year. Retailing is one of the key sectors that contribute to Indian GDP with a share of nearly 10 percent. Hence there is a need for the retail sector to bounce back which is possible with the efficient use of new digital technologies. Market basket analysis is used here to extract the association rules which can be directly used for formulating discount and combo offers. Along with that, these rules can be used to decide the product positioning in the retail store. Items which are bought together can be placed next to each other to increase sales. Recommendation systems are most commonly used in ecommerce websites like Amazon, Flipkart, etc, and streaming platforms like Netflix to recommend the items that are to be purchased by users. Although recommendation engines are implemented in multiple web and mobile applications, these are not in the implementation stage in offline retail stores due to many implications associated with them like infrastructure, cost, etc. In this project, we have used market basket analysis and recommendation systems to propose a model to implement in retail stores to increase sales revenues and enhance customer experience. © 2022 IEEE.
ABSTRACT
The Coronavirus Outbreak is on a seeming drop in India, the effect of the epidemic on the economy is still mounting, as fresh waves of COVID-19 contagion are nodding nearby. Any projected-on income influence, thus, might be allowed meanwhile inadequacy and restrictions. Yet, as per GDP statistics of the previous two quarters it currently exists, and as per Goods and service tax illustrates the positive indication of regaining amongst all return's channels. The study emphasizes the problem of reimbursement to states in the case of a revenue deficit protected in the existing rule, and the states In India will have to experience the revenue deficit, which may be helped in the evaluation of goods and service tax. The study subsidizes the current discussion on Goods and Service tax compensation provisions of states by allocating another set of budgets for the financial year 2021. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
An accurate budget forecast of Indonesia before starting a financial year is very important, the budget can be used to direct socio-economic development, ensure sustainability, and improve the quality of life of the people. Since the pandemic covid occurred in 2020 many countries carry out social restrictions to regional or national lockdown that impact the national budget. To estimate the Indonesian government's budget and accurately at the planning stage with the assumption the pandemic will continue or end. The solution can be figured out by using predictive analytics. Predictive analytics seeks to predict the future by examining historical data, detecting patterns or relationships in these data, and connecting all historical data patterns in the future. This solution can be used to predict how much the Indonesia Budget will be with the assumption previously mention. © 2022 IEEE.
ABSTRACT
Clothing exports from Bangladesh were up by 14.1% in the country’s 2020/21 financial year (July 2020-June 2021). The rise represented a recovery after exports had declined by 17.3% in 2019/20—reflecting the impact of the COVID-19 pandemic. Furthermore, during July 2021-April 2022 exports shot up by 35.2%. In the whole of 2021, there were increases in clothing exports to several of the country’s major markets—including Australia, Canada, the EU, India, Malaysia, New Zealand, Norway, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Turkey, the UAE, the UK and the USA. Textile and clothing exports from India shot up by 40.1% in 2021 after declining by 16.1% in the previous year. Furthermore, during January-March 2021, they were up by 19.3%. The rise in 2021 reflected increases in sales to all of the country’s major markets, namely Bangladesh, China, the EU, the UK, the UAE and the USA. Meanwhile, textile production in India was up by 29.5% and clothing production by 28.6% during the country’s 2021/22 financial year (April 2021-March 2022). Textile and clothing exports from Pakistan rose by 33.2% in 2021 after falling by 4.0% in 2020, and during January-April 2022 they were up by 25.8%. The rise in 2021 reflected increases in sales to all of the country’s major markets, namely Bangladesh, China, the EU, the UK, the UAE and the USA. Meanwhile, production of textiles in Pakistan was up noticeably in the country’s 2020/21 financial year (July 2020-June 2021), and it edged up during July 2021-March 2022. Textile and clothing exports from Sri Lanka rose by 25.4% in 2021 following a 16.1% decline in 2020, and during January-March 2022 they were up by 10.8%. The rise in 2021 reflected increases in sales to all of the country’s major markets, namely Canada, China, the EU, India, the UK and the USA. Meanwhile, textile production in Sri Lanka rose by 6.3% in 2021 but clothing production fell by 3.9%. © Textiles Intelligence Limited 2022.
ABSTRACT
The COVID-19 and associated lockdown in the country emerged as an opportunity for the digital payment providers and Unified Payment Interface (UPI) is the frontrunner among them. UPI is way ahead of other digital payment modes and recorded more than 22 billion transactions which account for over trillion during the 2020-21 financial year. Even though UPI is the most used digital payment mode in India, currently there is no well-established research model for measuring the user adoption towards UPI. So, this paper portrays the in-depth review of current works of literature on digital and mobile payment adoption intention of consumers and developed a new model exclusively for identifying the factors of adoption of 'Unified Payment Interface (UPI)'. The study introduced the model by extending the existing UTAUT2 model by incorporating 'Relative Advantage', 'Add-on Services' and 'Promotional Benefits' as additional constructs apart from the existing UTAUT2 constructs. The proposed model can be empirically tested further to derive meaningful findings and conclusions that can guide the payment service providers in taking appropriate decisions for the development of their user base. © 2022 IEEE.
ABSTRACT
Due to the effect of Covid-19 the pattern of energy consumption of Uttarakhand State has affected during lockdown. Since the inception of Covid-19 in Uttarakhand there has drastic change in electricity consumption in thirteen districts of the State including Dehradun which is also a Smart City. It has reported that there is decrease in electricity consumption in the year 2020-21. In this study the long-term load forecasting using Artificial Neural Network is used as per the information released by Uttarakhand Electricity Regulatory Commission (UERC) in their tariff order for Financial Year 2021-22. There is eleven million population in Uttarakhand at present. During economic shutdown in Uttarakhand State the power utilities has faced the challenge of electricity generation, transmission, and distribution. It has been observed that during Covid-19 there is 939.97 million units generated energy loss has faced by power utilities companies in Uttarakhand. Uttarakhand is a emerging State where lots of new Technologies are in pipeline. In this Study the forecasted results is for nine years (2022-2030) which represents that there will be sudden rise in electricity consumption after 2025 to 2030 in Uttarakhand due to the intervention of electric vehicles. In Uttarakhand Dehradun is also a smart city where lots of IoT devices have been deployed across city which are are also consuming electricity. This study has reduced the forecast error upto 7.17 % so that there would be minimum revenue loss in future to the power utilities in Uttarakhand. © 2021 IEEE.
ABSTRACT
Südwolle Group, headquartered in Nuremberg, Germany, is the world’s largest spinner of pure wool yarns and wool blend yarns. The company caters to several markets, including apparel, automotive, home textiles, hosiery and sportswear. The company was founded as a supplier and distributor of wool yarns to local spinning mills in Upper Franconia, Germany. Subsequently, it diversified into yarn production and opened its first spinning mill, which was located in Weiden, Germany. Thereafter, it expanded outside Europe with the opening of a spinning mill in Zhangjiagang, China. Since then, the company has made strides into foreign markets, it has made several acquisitions, and it has launched four flagship brands, namely Biella Yarn, Richter by Südwolle, Südwolle, and Yarn in Motion. The company also operates three niche brands, namely HF by Südwolle, GTI Filati, and Stöhr by Südwolle. Revenues generated by the company fell in its 2020 financial year, reflecting the negative impact of the COVID-19 pandemic on the company’s production volume, after falling in 2019 for the first time in several years. Despite this downward trend, the company remains upbeat about its prospects for the future and in June 2021 it reported that trade had begun to improve again. The company plans to take advantage of the restart of physical trade shows and industry events which have been cancelled in recent years, and it will explore opportunities for the development of antiviral and antibacterial performance yarns in response to soaring demand for these materials since the outbreak of COVID-19. © Textiles Intelligence Limited 2022.
ABSTRACT
Pangaia is an apparel brand and materials science company headquartered in London, UK, which is best known for its portfolio of loungewear made using innovative biomaterials. The company was founded as recently as 2019, and in its 2020 financial year it achieved revenues totalling US$75 mn. However, the company is also focused on research and development (R&D) in the field of natural and renewable materials which have negligible impact on the environment and provide comparable performance, if not superior performance, to that of petroleum-based materials. The company gained some notoriety following the widespread outbreak of COVID-19 in March 2020 when demand for loungewear soared. Also, the outbreak of COVID-19 put environmental issues under the spotlight and, in many cases, it inspired consumers to reflect on the environmental damage caused by the goods which they purchase. Indeed, throughout the duration of the pandemic, online searches for sustainable fashion have increased year-on-year. Major strides can be expected from the company in the coming years in the development of innovative biomaterials, particularly biodegradable “alternative leather” materials, environmentally friendly dyes, and sustainable alternatives to virgin cotton fibre and virgin animal fibre. Indeed, the company looks set to make a significant impression on the global apparel market and beyond on the basis of these developments alone. © Textiles Intelligence Limited 2022.
ABSTRACT
The demand of electricity has been reduced significantly due to the recent COVID-19 pandemic. Governments around the world were compelled to reduce the business activity in response to minimize the threat of coronavirus. This on-going situation due to COVID-19 has changed the lifestyle globally as people are mostly staying home and working from home if possible. Hence, there is a significant increase in residential load demand while there is a substantial decrease in commercial and industrial loads. This devastating situation creates new challenges in the technical and financial activities of the power sector and hence most of the utilities around the world initiated a disaster management plan to tackle this ongoing challenges/threats. Therefore, this study aims to investigate the global scenarios of power systems during COVID-19 along with the socio-economic and technical issues faced by the utilities. Then, this study further scrutinized the Indian power system as a case study and explored scenarios, issues and challenges currently being faced to manage the consumer load demand, including the actions taken by the utilities/power sector for the smooth operation of the power system. Finally, a set of recommendations are presented to support the government/policymakers/utilities around the world not only to overcome the current crisis but also to overcome future unforeseeable pandemic alike scenario.