ABSTRACT
The COVID-19 pandemic originated in China and quickly spread to practically every country on the planet. Because there is no cure for the virus, countries are taking steps to prevent it from spreading. Many sectors, particularly the service sector, have seen significant reductions in activities, if not a full halt, due to these policies aimed at restricting human interaction. As a result, I will statistically assess the pandemic that has a significant impact on economic growth rates in both developing as well as developed countries. Without a doubt, the economy's consequences will be determined by how long the pandemic lasts and when it returns to normal economic activity. The impacts of the COVID-19 pandemic on global economic growth are assessed in this paper. © 2022 IEEE.
ABSTRACT
BACKGROUND: This paper focuses on the concept of career construction based on the theory of conservation of resources to understand the overall effect of career capital on career success from both a subjective and objective manner through the mediating effect of perceived employability. OBJECTIVE: This study attempts to explain how different integrated aspects of career capital, including human, social, and psychological (antecedents), influence both subjective career success and objective career success (outcome) through the mediating effect of perceived employability (mediator). METHODS: Time-lagged data of 331 employees from the telehealth medical billing service companies based in Pakistan were analyzed through a structural equation modeling technique using SmartPLS software. RESULTS: The main results confirmed that career capital positively affects perceived employability and career success while perceived employability positively mediates the relationship between career capital and career success. CONCLUSION: This research responded to prior calls by explaining the positive mediating role of perceived employability (as a mediator) in explaining the positive influence of career capital on career success using different various dimensions of career capital and career success. This research included the contextual issues by testing the model in the telehealth sector of Pakistan. The findings suggested that context or occupation matters in the relationship between career capital and career success.
ABSTRACT
The declaration of the COVID-19 pandemic and the resulting lockdowns brought focus on the importance of the retail sector for community well-being. The restrictive government policies that were put into place to curb the spread of COVID-19 virus added pressure on retailers to adapt to the subsequent changes in consumption. This research, using a case study of Erie County in the State of New York (NY), investigates these changes in visitation patterns for a commercial service sector that was deemed 'essential' - food and beverage. This study uses mobile location data to identify variations in shopping patterns for independent and chain stores. The study finds that by comparing the pre-pandemic to pandemic, there were changes to visitation patterns over time and between retail types. While the study highlights the potential to use mobile data to study shifts in consumption behaviours, the paper also reveals several challenges in using such data. © 2022 IEEE Computer Society. All rights reserved.
ABSTRACT
COVID-19 has had a significant impact on the global economy. The retailing sector, which relies heavily on high levels of human interaction, has experienced the worst impact. This study aimed to assess the spatial distribution of COVID-19 in Toronto and its impact on business locations from the food retail and food service sectors by investigating four retailers: Starbucks, McDonald's, Shoppers Drug Mart, and Loblaws. Kernel density estimation revealed that the spatial distribution of COVID-19 incidences in the City of Toronto is uneven, with a high density of cases present in the Downtown core. Spatial autocorrelation was performed at the global and local levels to assess the spatial pattern of Starbucks, McDonald's, Shoppers Drug Mart, and Loblaws locations. The findings revealed that retailers spatially clustered in a COVID-19 hotspot are the most impacted. Further to this analysis, a geographically weighted regression model was generated, which indicated a strong correlation between COVID-19 and low socio-economic status. This allows for a better understanding of the characteristics associated with the retail locations at risk from COVID-19, enabling retailers to make strategic adjustments to respond to a rapidly changing marketplace. © 2023, Springer Nature Switzerland AG.
ABSTRACT
India ranks as the world’s second largest producer of textiles and clothing after China, and is the sixth largest exporter of textiles and clothing in international markets. Its textile and clothing industry is long established, extensive and wide ranging, and the industry fulfils a vital role in India’s economy—not least in terms of employment opportunities and export earnings. Moreover, it remains one of the country’s most important industrial sectors, even though the Indian economy is expanding rapidly and shifting impressively towards high-tech manufacturing and service sectors. In fact, the textile and clothing industry continues to represent India’s largest manufacturing activity, and in 2021/22 it accounted for about 7% of the country’s industrial production, 2% of its gross domestic product (GDP) and 10% of its national export earnings. Also, the industry provides direct employment for around 45 mn people, many of them females. In addition, an estimated 100 mn people are employed in indirect activities—notably in the agricultural sector. The importance of the textile and clothing industry to India’s economy is recognised by the Indian government in its provision of substantial assistance and support. The textile and clothing industry also benefits from India’s huge domestic market, reflecting the fact that the country has a population of 1.39 bn people. Furthermore, this market is growing. Admittedly, the value of the market fell in 2020/21 alone, from US$106 bn to US$75 bn, reflecting the impact of the COVID-19 pandemic. But by 2025/26 it is forecast to increase to US$190 bn, in line with growing prosperity and a continuously growing population. © Textiles Intelligence Limited 2022.
ABSTRACT
Global pandemic situation has explored advanced technological applications over multivariate service sectors. Many people have lost their jobs during economic slowdown caused by lockdown to control spread of COVID-19. Mass-scale unemployment has resulted in socio-economic unstability leading to increase of domestic violence cases and death of married women who are forced to bring money in the form of dowry. These dowry death cases are related to Indian Penal Code Section (IPC) 304B. To assist legal professionals to understand these cases in a systematic manner, authors have proposed a natural language processing (NLP)-based model to extract major parameters from IPC 304B. Furthermore, to explain the static structure and its inter-relations, authors have also used Unified Modelling Language (UML)-based diagrams for better visualization of major parameters of dowry death cases. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
This study aims to investigate the economic impact of the COVID-19 on service sector companies. During this international pandemic, the economic losses are so destructive that world economies are eyeing future recessions. Poverty and unemployment and are always low, and the assist of IT is needed to eliminate the harmful results. This paper also identified the industries which have been strongly impacted at the pandemic time and are in need of comprehensive reform. Just some few industries are showing less losses or operating well during that pandemic. The research aims to show the effect of COVID-19 on different industries while identifying the most affected industry. This study also explains the role of Innovation, Digitalization, and IT during COVID-19 and how they can assist humans and businesses deal with exacerbating situations all-over the world. © 2021 ACM.
ABSTRACT
Revolution 4.0, which all enterprises have to face, may affect entire industries, changing the way of design, production, delivery and payment for goods or service provision process. One of the major changes, that is required, is full automation and digitization of processes and the use of electronics and information technology. A large increase in interest in e-services can be observed, which is related not only to the digitization of society, but in the last year to the Covid-19 pandemic and the related restrictions. The service sector is dominated by small and medium-sized enterprises (SMEs), for which the digitization process is often more difficult, mainly due to small financial resources. The aim of the paper was to assess the readiness of enterprises from the SME sector to digitization of service provision process. The survey allowed to indicate what is the knowledge about digitization of service provision process among respondents, what types of solutions related to digitization are implemented in their enterprises and what is the status of their implementation. Additionally, the respondents indicated the advantages of the digitization of service provision process. The research allowed to indicate the level of advancement of digitization in service enterprises of the SME sector. © 2022 The Authors. Published by Elsevier B.V.
ABSTRACT
It is the service sector for any nation that offers the government the maximum income. This service industry comprises a broader range of services and every individual in the nation will be affected by any bad impacts on this sector. The covid pandemic has become a threat to good health and has created fear due to the spread of the virus and a serious impact on the economy and the livelihood of people in the country. Logistics and delivery are some of the areas badly affected by covid. Because this virus is a contagious disease and very quickly spreads to neighbours. The reduction of human interference in the delivery of goods was very important. This paper presents a delivery robot that can safely and securely deliver the goodseven for the virus affected persons since this robot is a virus free agent. The key features are face recognition, obstacle detection, live streaming, GPS tracking and we achieve these features using Raspberry Pi and Node MCU. The prototype we create is for small organizations such as colleges and hospitals where objects must be transported safely and securely. This robot can also be used to safely provide patients with medicines and food. This can be extended to a greater area and can be used to replace the normal human resources delivery system. © 2021 IEEE.
ABSTRACT
Business Models have received attention, both from academia and from the market, especially since 2000, when the amount of research has grown exponentially. During the Covid-19 pandemic, the importance of this tool intensified, especially for the service sector, which was the most impacted during this period. However, there is no agreement among researchers on the concepts, elements, and methods of modeling business models. Given these two facts, the purpose of this article is to present the structure of the Business Model Service Area (BMSA) of an engineering office specialized in structural calculations to assist in the decision-making process to optimize management. The BMSA made it possible to visualize the company as an organizational architecture and helps in the perception of possible improvements and decision-making. © 2022, IFIP International Federation for Information Processing.
ABSTRACT
COVID-19 policy and measures have caused both negative and positive challenges for the transport sector. The aim of the research is to model an impact of shocks that transport and logistics encounter during the COVID-19 era on the economy and regional development. A comparative-static approach that involves an input-output model with additional regional modelling block and scenarios are applied. Two scenarios are estimated for Latvia’s economy: firstly, extremely dramatic decline in demand on air transport services by 90%;secondly, unexpected increase in demand for postal and courier services that doubled output. The results of the first scenario argue that the service sector is influenced more than manufacturing due to air transport collapse –rental and leasing services (-11.6%), employment services (-9.7%), other transport services (-7.0%), impact on manufacturing is relatively minor and only on certain branches. The results of the second scenario on doubled output in postal and courier services argue that there is a positive impact, but the scale is relatively low, the most affected industries are manufacturing (of paper products (increase by 1.7%), rubber and plastic goods (1.6%)). The findings confirm that the urban areas due to higher economic activity and larger service sector are more affected to the modelled shocks both negative and positive. The rural areas are relatively less negatively affected during the crisis, but at the same time, during the recovery (for example, in the post-COVID era) it may lead to weaker economic activity and the rural areas will continue to lag behind urban areas. © 2021, Latvia University of Life Sciences and Technologies. All rights reserved.
ABSTRACT
The COVID-19 pandemic has resulted in substantial employment losses in the US. To understand how this impact fell on male and female workers unevenly, I empirically investigate the impacts of COVID-19 on the gender inequality in labor markets and analyze the variation in effects across sectors. I find that the COVID-19 pandemic influences all sectors to different degrees, with the tertiary (service) sector hit the hardest. The pandemic has also exacerbated gender inequality in certain sectors, but not all: women working in the tertiary sector are most economically harmed, while sectors that rely mostly on knowledge and technology tend to work remotely and generally have the least impact in working hours from the pandemic. The intersectionality of race, gender, and educational attainment also contributes to the disparities in labor markets across all sectors. Results also show that marriage benefits employment, and that having children under the age of five could slightly disadvantage workers in the labor markets. © 2021 ACM.