The potential for economic progress has been constrained in recent decades by growing income disparity. Using panel data methodologies and policy simulations, this study examines the impact of economic globalisation on income inequality in both a cross-country and country-specific context. The sample includes post-liberalization developed, developing, and least-developed nations. The findings reveal that globalisation has reduced inequality in advanced nations while having the reverse impact in low-income ones. Trade and FDI have opposing effects on income distribution; trade makes it worse, but FDI is good for all countries and helps to lessen income inequality. It has been discovered that FDI has a greater effect on lowering income disparity. The effects of economic globalisation on income inequality globally have been examined in a sizable body of econometric work. It is difficult to draw reliable conclusions because stated econometric estimates vary greatly. The link between globalisation and inequality is summarised quantitatively and analysed in this work. Researchers utilise a fresh dataset comprised of 1,254 observations from 123 original studies. Using meta-analysis and meta-regression methods, researchers reach a number of important results. First, there is a small to moderate increase in inequality as a result of globalisation. Second, whereas the impact of trade globalisation is negligible, the impact of financial globalisation on inequality is much larger and substantially stronger. Third, both developed and developing nations see an average increase in inequality as a result of globalisation. Fourth, technology and education mitigate the effects of globalisation on economic disparity.

The strategy of the Innovation Management System encompasses inter-company procedures and activities such as networking, management, marketing, and so on. The goal of this study is to provide instances of how knowledge creation works in these settings. This article is a qualitative survey that addresses how to apply open innovation techniques in Norwegian IT companies in order to obtain access to fresh business ideas. This research strives to increase awareness of the earlier question and provide guidance for future studies through the examination and evaluation of applicable literature. This improved grasp of how to use innovation management tactics would benefit both businessmen and authorities participating in proposal appraisal. This research focuses on the adoption of strategies by small businesses and startups, both of which are relatively unexplored areas for research. It offers suggestions for reality-based thinking, social media participation, and prepared versus haphazard tactics. Based on an in-depth questionnaire with four anonymous Norwegian digital samples, this empirical research article forms a study. This study lays out a clear strategy for analyzing the openness of invention and networked theories described in the objectives. Contrary to earlier studies, this article will expose gaps and common problems created by start-ups rather than create seamless entrepreneurial tactics for the benefit of their organization. Following the final discussions with start-ups, the findings were coupled with library evaluations and associated theories, as well as empirical facts, to support the presented query. Finally, the findings are classified and categorized in the list below based on interviewer responses.

This study helps us understand the similarities and differences between the distributional impacts of the COVID-19 pandemic and the Global Financial Crisis by breaking them down into four categories: (i) worker characteristics; (ii) job characteristics; and (iii) flexible/work-from-home jobs and essential jobs, which were exempt from government-mandated shutdowns during this recession. In the past, recessions have hurt younger and less educated workers more, but the Pandemic Recession hit women and people of Hispanic heritage especially hard. Jobs that require a certain amount of adaptability, social interaction, and a need seem to be less affected by changes in the economy. The non-cyclical character of this employment has historically been caused by the rising share of skilled people in highly adaptable occupations. When the Pandemic Crisis hit, however, it was the flexible and crucial occupations that were hit most, rather than the social service sector. Both recessions have had a significant distributional effect, since low-income people have been hit more than high-income ones. Finally, in contrast to the Great Crisis of 2008–2009, many people who lost their jobs during the COVID-19 recession were only out of work temporarily.

Social media and digital networks have gradually changed how firms sell themselves. In a world where technology is permeating society more and more, understanding how sales teams use business-to-business (B2B) markets can provide insight into the motivations driving the selling process. In the three crucial stages of the B2B sales process, this study investigates how global SMEs use traditional, digital, and social media sales communication methods. The paper's use of grounded theory shows how social media may be quite effective in luring clients from outside. The effective phase appears to be where digital communication tools are most common, whereas customer relationship management still favours more conventional communication methods. Nevertheless, certain important potential boundary circumstances, like relationship culture and closeness to a location, technology, the strategic value of the consumer, creativity, and capital, appear to have an impact on how international SMEs employ a range of communication channels when conducting business. To assist foreign SMEs with their sales communication, designers provide a method for understanding the flow of the B2B sales process.

The background of this study is that a Medical Expert System made in Visual Prolog is proposed. This expert system makes a differential diagnosis among heart, lung, kidney, skin, and brain diseases. This system is designed to give help to a medical expert in making the appropriate diagnosis of a patient. Based on a patient's symptoms and medical background, SWI Prolog offers the diagnosis through the declarative knowledge representation methodologies. On the basis of the diagnosis and current medical regulations, it might also offer other treatment options. Medical data analysis using SWI Prolog is used to spot trends or patterns in patient outcomes or disease development. Making better-educated choices concerning patient care and treatment could be made easier by healthcare providers as a result. An SWI Prolog-based medical expert system's output will be influenced by the quality of the data and code used to generate it, as well as by the medical specialists that worked on its design and implementation. The creation of more sophisticated expert systems can be particularly beneficial for early disease detection, helping to reduce the burden of diseases by detecting them more accurately and efficiently.

This project explores the effectiveness of a Small Moving Average (SMA) crossover trading strategy implemented on the TradingView website using Pine Script. The study investigates the potential profitability of the strategy by backtesting it on historical price data for various financial instruments. The project also examines the impact of different parameter values and timeframes on the performance of the SMA crossover strategy. The findings suggest that the SMA crossover strategy can be an effective tool for identifying potential buy and sell signals, but the results are highly dependent on the specific parameter values and timeframes used. This project provides a practical example of how to implement and test a trading strategy using Pine Script on TradingView.

The article analyzes the development of soft skills in the process of ensuring the implementation of the principles of continuous education in the modern transformational conditions of society. Values influence people's goals and, accordingly, the sphere of their professional realization. The emergence of new professions is determined by the needs and values of society. Accordingly, the implementation of continuous education requires the development of not only hard skills but also soft skills. The development of self-awareness and social consciousness in each individual is important. Only plasticity of thought, creativity, and freedom of choice can attract competitive specialists to the market. The trend of wanting to study offline is interesting, but despite the growing virtualization of communication among the younger generation, it gives hope that the choice of profession is conscious and, of course, the person who studies will get good knowledge and skills.

The urgent need for diversification in the Nigerian economy has raised concerns in other sectors. The information technology (IT) sector remains the least developed despite increased government attention to IT and the need to encourage young graduates in the IT sector. Little seems to have been achieved so far; hence, this study assessed the influence of strategic management (SM) on the operational performance of IT firms in Nigeria. A sample of 195 managers of IT firms across the country of Nigeria were selected for this current study, and they were selected using a convenient sampling technique. The Pearson product correlation technique was used in analysing the data. It was found that there is a correlation between SM and the operational performance of IT firms in Nigeria. The study concludes that the presence of a sound SM would guarantee the improved operational performance of IT firms in Nigeria. It is recommended that IT firms’ managers be willing to come up with a detailed strategic plan and implement it to conduct regular evaluation and control their own strategy, as it is useful towards ensuring that they gain a competitive edge.

Destructive innovation will progressively enter the global markets as efficiency rises, devouring more customer base until it replaces the previous top technology. The competitors' ability to compete has been weakened by destructive innovation, which has altered the industry's old norms of competitiveness. The idea created a brand-new customer value structure that newcomers can use strategically to catch up. The study of negative innovation has gained popularity in technological finance and strategic management. The issue with equating disruptive innovation with any scientific discovery that modifies the nature of competition in a market would be that various forms of development demand multiple sorts of strategic approaches. It's not likely that every business in a changing market will indeed be able to benefit from the insights that can be learned on how to become a successful "disruptive innovator" (or "fight off a disruptive rival").

The aim of this paper is to analyze and predict ovarian cancer in women using Artificial Intelligence. The program in logic and the decision tree of machine learning are being created to presume Ovarian Cancer. Ovarian malignancy is a significant infection among ladies, even at a very early age. The side effects of ovarian diseases are taken as the factors to settle on the choice tree to foresee the conceivable outcomes. The fundamental side effects would be the foundations of the sickness to settle on the choice tree furthermore than all the yes and no of the tree would have a determination or an outcome. This will assist the women to aware of the type of the ovarian cancer with symptoms and to take necessary steps to avoid this deadly disease. As per the research outcome, it is quite helpful for women all over the world to be aware of the disease. Analysis and prediction provide a major outcome of this research. Advanced technology helps move the health system in a new direction. It gives attention to ladies about ovarian malignancy from one side of the planet to the other. There are numerous country regions all around the world exists where the specialist and the patient proportion are poor, there it can furnish attention to ovarian malignancy alongside the expectation if any patient has ovarian disease or not. Any little or big indications of ovarian disease, they will become more acquainted with what sort of ovarian malignant growth they have through the product. It will decrease the mortality rate.

This study set out to investigate how students at China's Xiamen University felt about mobile advertising. In addition to determining whether or not college students have a favourable opinion of mobile and SMS advertising, the study seeks to understand the challenges students faced and the concepts they understood from a pedagogical perspective. Using a sampling strategy based on convenience, data were obtained from 98 different pupils. Students' negative attitudes toward mobile advertising and their belief that it diminishes the quality of education are the study's most important findings. The research concluded that China Unicom should start using permission marketing to protect its users from being disturbed and that mobile marketers should better segment their client bases to avoid sending customers communications that are not relevant to them.

The digital economy drives growth, innovation, and competitiveness. Rapid technological advancement contributes to economic and social transformations. Digitalization has produced entirely new business models and poses substantial problems for the current taxation system. An evaluation of the business models of Amazon and Google indicates that such a differentiated approach is required for both the proposed alternatives, i.e., a virtual PE or an equalisation tax. This paper presents the concept of the digital economy, features of the digital economy, business modes of the digital economy, and identifies deficiencies in the existing structure of international taxation as it relates to taxation of the digital economy. The paper further assesses nexus, data, and characterization as major components of the tax challenges of the digital economy, as well as providing mechanisms to address the emerging challenges in the present international tax system. From this study, it can be inferred that there needs to be global consensus that digital enterprises are detrimental to the tax system and that something needs to be done about it.

During the COVID-19 and political crisis period, all business organizations, not just operational staff, but also management teams, increased their workload, allowing them to bear significant physical and psychological stress. The study has an impact on future business performance by emphasizing the work environment within their organization to improve employee motivation and commitment during COVID-19 through positive effects on employee satisfaction, as well as the relationship between the employee and the organization that creates the working environment. The study's goal is to educate executives on how to demonstrate flexibility and create a better working environment in the face of current and future pandemics. The analysis in this study was based on several concepts from human resource management and crisis management in firms, as well as a survey of significant business publications that had been published. The study used a descriptive research survey as its method. Min Ma Haw provided a sample size of 110 employees. The majority of the data for this study was gathered through a closed-ended questionnaire. The study created statistical analysis tools that demonstrate variable analysis. SPSS (Statistical Package for the Social Statistic) version 20 was used to analyze the quantitative data received from the questionnaire. Stratified random sampling was used to divide and examine the population's divisions. notably disproportionate In order to select the staff, first line management, middle management, and top management, stratified random sampling was used because some strata are small.

Cloud computing is a dynamic technology with various application spheres because of its scalability, cost-effectiveness, and reliability. However, since the energy demand for information and Communication Technologies (ICT) is on the rise, cloud computing is facing new challenges related to environmental protection, power consumption, energy efficiency, and carbon dioxide emissions. The latest technologies that strive for sustainable energy efficiency and a reduced e-waste and carbon footprint are constantly being researched and deployed. These technologies have the potential to transform cloud computing into green cloud computing. In this survey, the authors investigated recent research methodologies such as algorithm-based, architecture-based, framework-based, model-based, methods-based, and general issue-based approaches. Many of these research projects are still in their infancy and are yet to be commercially implemented. The last thing that was talked about was some future research trends and some of the open challenges in green cloud computing.

Introduction: Mental illnesses like depression, schizophrenia, bipolar disorder, etc. have become widespread in today’s society. More than 7.5% of Indians suffer from some kind of mental disorder. Early detection of mental illness is important for treatment as well as to prevent self-harm. Traditionally, the diagnosis involved answering a specifically designed questionnaire at the doctor’s clinic. Methods: Mental health data, however, can also be collected from other sources like social media posts, wearable smart-devices, etc. Manual analysis of the patient data may not reveal all the information. Hence, diagnostic errors are common. In recent times Machine Learning (ML) algorithms have been successfully employed for the identification of critical symptoms, the development of diagnostic modules, and the personalization of therapy. Result : Authors have systematically reviewed 40 papers that used Machine Learning based techniques for the diagnosis of mental disorders and chose 25 of them for the survey. This paper provides an overview of the application of ML in mental healthcare. It has been focused here on the state-of-the-art Machine Learning based work on mental health. Discussion: The majority of the papers consulted so far concentrated on finding whether a subject belongs to a diagnostic category. Classifying into one broad category, however, does not take into account the variability of the symptoms. Conclusion: The authors identified some major research prospects in the early detection of schizophrenia.

Unavoidably, COVID-19's global epidemic brought about a significant drop in every sphere of the economy. This study examines the impact of COVID-19 on Indian stock market performance by using a moving average and historical values of the Nifty 50 and S&P BSE SENSEX. The investigation's goal is to pinpoint the Indian Stock Exchange's BSE and NSE weaknesses and the volatility during that time span. The results demonstrate that the pandemic had a major influence on the industries included in this research. But the rise in COVID-19 cases starting in January 2020 and the deaths that followed in 2021 caused the biggest stock market decline ever seen. Despite that, the market saw a record-breaking high on both the NSE and the BSE by the end of 2021. Following the Covid's impact, the Indian financial market also experienced a sharp downturn. During this time, the Nifty dropped 7500 points and the BSE dropped about 920 points. This research focuses on the volatility of the stock market across this time frame. By the afternoon of April 5th, 2021, investors had lost more than Rs. 4.54 lakh crore. The investors lost a total of 7.36 lakh crore in just 7 months.

Debesh Bhowmik Ed. (2022). An Approach Towards Central Bank Digital Currency. New Delhi: Kunal Books.(HB,pp 358+xxxxviii,$60). Recently Central Bank digital currencies have emerged as a relevant topic in theoretical and empirical research. In this context, the book An Approach Towards Central Bank Digital Currency constitutes an important contribution since it analyzes the issue of digital currency by considering several aspects like theoretical models, economic policies, postmodern mindset, cybercrime, ecology, regulatory framework, financial stability, cashless payment systems, etc.

The paper endeavour to explore the nexus between Bitcoin Rouble exchange rate and the Russian capital market using cointegration and vector error correction analysis taking the capital market indicators namely US Dollar Rouble exchange rate, MOEX index, RTX index, Moscow exchange trade turn over and RUONIA of Russia using daily data from 1/11/2021 to 18/4/2022 as a consequence of post pandemic recovery and sets back from war between Russia and Ukraine. The paper found that the trend line of Bitcoin Rouble rate is cyclical with four phases whose Wavelet threshold signal curve is explosive oscillatory. There are no short run causalities from the indicators of capital market to the Bitcoin Rouble price but there is insignificant and converging cointegrating long run causalities from those indicators where the relation between Bitcoin Rouble and US Dollar Rouble rate and MOEX index are significantly negative and the relation with RTX index is significantly positive. It was evident that there is little significant influence of Bitcoin Rouble pricing on the Russian capital market in the long run.

Tourism has been one of the thrust areas of the Government of India from time to time. The Governments at every level have made every effort to promote India as a tourist destination. This has been recognized as a part of the services sector. Every country in the world has attached great importance to tourism. International visitors have been thronging India due to the various facilities available for tourists. Events like tourist fairs and facilities like visa-on-arrival are certain measures in this direction. At the same time, many countries have recognized Indian nationals as potential tourists and have rolled out several attractive schemes specifically for Indian nationals. This study was performed to study the nature of tourism in India in terms of its performance based on both domestic and foreign tourist arrivals, and the larger revenue-generating potential this industry possesses. From the present study, it is evident that over the previous two decades, India's tourism industry has performed admirably.

The Tea Board of India (TBI) has defined a Small Tea Growers (STGs) as an entity having tea plantation areas of up to 10.12 hectares (or 25 acres) without any processing facility since the early 1990s. The mode of production in tea plantations has undergone a major structural shift from a centralized estate sector system to the emerging small tea growers (STG) bought leaf factory (BLF) system, which broadly represents a flexible and decentralized production system. The labour relations in tea gardens are well defined in the organized sector and covered under the Plantation Labour Act 1951. However, the small tea growers (STG) and Bought-Leaf Factories (BLF) specializing solely in tea manufacturing do not have the distinct industrial identity categorized under the unorganized sector in the tea plantation industry. STGs are no longer a small or marginalized group, as they produce more than half of India's green-leaf output while depriving organized-sector workers of the benefits they should get. The moment has come for small tea garden owners to think about their employees' occupational safety, health, and working circumstances. Given the substantial changes in tea plantation methods, the authors sought to determine the scope of collective bargaining for workers in tiny tea gardens in West Bengal's Jalpaiguri region.

Purpose: Investment growth is essential for the prosperity of an economy. Saved money is used for investment. It is scarce in a country like India. So, optimal use of this saved fund is required. Markowitz stated that best use is possible by creating a diversified portfolio to minimize risk. Ordinary people have limited funds and knowledge of the stock market. So diversified portfolio should be formed by purchasing a minimum number of stocks. Objective: of this research analysis is to form optimum portfolios by using different methods. They are compared to know the best one which can provide the maximum return per unit of risk by using the minimum number of stocks in the portfolio formation. The uniqueness of this research is to identify numeric advantages in optimum portfolio formation from an Indian context. Methodology: Analysis is based on daily price movement data of the Nifty 50 index. An optimum portfolio is formed first by using the Sharp optimum portfolio method, where stocks are selected on the basis of cut off rate C with weight factor Xi. Then selected stocks of Sharp model are combined by using the CAPM beta diversification technique. Risk minimizing weight factors are used here. These two portfolios are compared to judge minimum risk achievement with low volume of stocks. Conclusion: Optimum portfolios performances are compared again with actual data from next year. From this research analysis, beta diversification was found to be the best option. Limitation: More than two years analysis can give solidarity in the conclusion.

Increased energy consumption in Cloud Data Centres (CDCs) increases the carbon footprint. Efficiency of the data centres thus needs to be improved through server consolidation using effective virtual machine (VM) placement and migration techniques and minimizing the number of active physical machines (PMs). One of the problems is how to operationally allocate the VMs to PMs. These allocations have both operational costs and energy consumption issues. To achieve the aim of ‘Green Computing’ a number of state-of-the-art machine learning algorithms have been proposed for the VM placement. The authors of this paper have provided a detailed discussion and comparison of some of the current research works on energy efficiency. and cons of each of these techniques have been discussed. Some future research prospects in this field have also been mentioned at the end.

The literature review provides an integrative (and occasionally critical) review and evaluation of relevant literature. This is mostly done by putting this study in the context of relevant research in capital markets accounting and asset pricing, such as arbitrage pricing and the empirical evidence on return anomalies.

The invincible corona virus affected hundreds of thousands societies on the earth. It massacred holistic pace of lives, disrupted academic excellence, economic growths and pushed us many clops of planned future. However, despite the current threat of total education with key constraints in Technical Vocational Education and Training (TVET), how drastically are TVET institutions adopting innovative planning and education governance in Bangladesh? TVET Policy actors, individuals, and relevant communities need to think of risk mitigation and resilience approaches. In general, the approach and solutions that drive towards cyber-supportive preparedness, networking, and partnership may help to tackle the emerging situation. EduTech can help towards the modern TVET system in Bangladesh with globalisation and IR 4.0 to IR 5.0. Given this context, it is more challenging to achieve the United Nations (UN) Global Sustainable Development Goals (SDG) by 2030. The intertwined goals of inequality, education, and poverty eradication imply nourishing the TVET sector. This paper mainly focuses on reflecting on the ongoing managerial view of the TVET sector, exploring innovative ways to strengthen the system in Bangladesh.

Introduction: Covid-19 has made changes to health services in Indonesia. It occurs in the hospital service flow, so patients must adjust to the restrictions that apply in the hospital. National health insurance (JKN) in Indonesia provides public access to health services. The existence of health insurance should be the solution for patients who are willing to take advantage of health services. Meanwhile, in the covid-19 condition, health services are essential, so they have to get a lot of attention. Objective: The purpose of this study was to analyze National Health Insurance (JKN) patients before and during covid-19 in Mother-Child Hospital "Putri" Surabaya. Methods: This study used descriptive analysis of national health insurance hospital patient visits (both outpatient and inpatient) in Mother-Child "Putri" Hospital Surabaya. The data was taken twice, which is before covid-19, from January 2018 to February 2020, and during Covid-19 from March 2020 to December 2021. Result: The results showed that the trend of JKN patients before and during covid-19 was very different. Before covid-19, there was a tendency to see an increase in JKN patients. During COVID-19, the JKN patient was reduced. Conclusion: Covid-19 is one of the factors that affected the reduction of JKN patients in Mother-Child Hospital "Putri" Surabaya. Not only this hospital, but all health-care services.

"Flavored carbonated beverages" are popularly known as "Soft Drinks" which typically contain carbonated water, a sweetener, and a flavouring agent. It may also contain caffeine, coloring, preservatives, and other ingredients. Soft drinks are the beverage of choice for millions of people, second only to water. The first marketed soft drinks in the Western world appeared in the 17th century, which were made of water and lemon juice sweetened with honey. There are no nutritionally beneficial components in soft drinks. Soft drinks mostly consist of filtered water and refined sugar. Bisleri International (Bisleri) re-entered the Indian soft drink market in February 2016 with the introduction of "Bisleri Pop." Bisleri, on the other hand, will face a number of hurdles in the coming days. To begin with, two multinational corporations (MNCs), Coca-Cola and PepsiCo, dominated the price and flavour pyramid in India's soft-drinks market. The case study of BISLERI POP, an Indian carbonated soft drink firm, focuses on some of the main problems, such as the company's competitive position, the strengths and weaknesses of its marketing strategies, consumer awareness, customer perception, cultural differences, and so on. This study was conducted using a descriptive research design. Google and other web sources were used to get primary data. In order to do a comparison analysis, information from Bisleri Pvt. Ltd. and other websites is used. Even though Bisleri Pop is one of the most well-known and respected bottled water brands in India, most people were not impressed by it.

This study is directed to concentrate on the practices of human resource management (HRM) in private enterprise as well as inspect the HRM practices affecting operational performance (non-financial). Survey questionnaire has been heading for collecting data from 120 staffs based on Random Sampling Technique working in three organizations to be specific Rahman Jute Spinners (Pvt.) Ltd., Jamuna Jute Industries Ltd. and North Bengal Golden Fiber & Diversified Jute Mills which are working under Bangladesh Jute Spinners Association (BJSA). Correlation Test, ANOVA Test and Regression Coefficient Test were done to bring out the outcomes of the study. The results uncovered that, noteworthy and satisfactory relationship exists among HRM functions (namely practices of recruitment and selection, assessment of performance, compensation and reward, training and development) and performance of operations. This study gives insight in terms of ensuring sustainable operational performance by practice these HRM practices which will ultimately accelerate the productivity of employees as well as private jute mills in Bangladesh.

Background: COVID-19 pandemic is devasting for human health. Apart from physical health COVID-19 has affected mental health also. This study examines how COVID-19 pandemic has affected the mental health especially in young adults in India. Methods: A one-time Online Questionnaire Survey was completed between the age of 18 to 30 years and form was randomly circulated across India (with the help of friends and family). Results: Overall, three-fourth of participants were worried about the COVID-19 pandemic where female had more fear, sadness and nightmares than male. Also, mental health is stigma in our society. Conclusion: Findings highlight the impact of COVID-19 on the mental health of young adults in India.

Press reports are repeatedly stating that most of the Infrastructure Projects of India are running behind schedules, and obviously with cost over rums. Such time and cost overruns not only impact the expectation of the stakeholders adversely but shall hamper the development prospects of the country significantly. Often the Project management is blamed for their failures in meeting the project objectives. But the base organizations that champion the projects, who conceive them, arrange financial support and then handover to the project management professionals for getting them carried out are not active players in the project execution sphere. The base organizations which champion the projects and are of a permanent nature are defined as Project Owners by literature, while the Project management organizations are of temporary nature. Such owners are not aware of the roles and responsibilities that they should fulfil to ensure project success. The negative impact on time and cost overrun that could be achieved by the increased involvement and interventions by Owners is not well established even.This paper aimed to find out the key areas that call for the involvement of owners in various infra structural projects, and to assess how far the owners get involved in the management of public projects at present, in selected Project sites within India, by conducting a Questionnaire survey. Help from previous published works helped in designing the instrumentation for the survey. It was intended to find out the opportunities for improvement from the survey results. The results exposed a very strong negative correlation between the Owner’s contributions/ level of involvement with Time over run and Cost overrun. This revealed a significant opportunity for improvement in the success prospects of Indian Infra Projects.

All over the world, the pilot projects to introduce central bank digital currency have been running with the initiative of Bank for International Settlement. India is one of them to issue CBDC very soon after passing the law. The merits of CBDC, the digital payment situation in India as well as banking literacy are the prime issues of this paper in discussing the several analytical frameworks of central bank digital currency monetary policy avenues as developed by several economists who are involved in the research of CBDC issuances, designs and applications some of which positive impacts are still unexplored.

With the advent of the digital age and its entry into the business environment, marketing trends have undergone several changes, such as the expansion of data-driven marketing and the digitalization of the business environment that requires further investigation. As a result, the aim of this study is to present a novel approach in marketing research and identify value components among the large volume of customer feedback in virtual networks using machine learning, big data analysis, and a predictive marketing strategy. This research is applied in terms of purpose, qualitative-quantitative (mixed) in terms of method and descriptive-survey in terms of data collection that has used an inductive approach. For this purpose, the Iranian tourism industry and tourist areas of Tehran province was selected as a case study and 9325 comments from customers about hotels used in their travels to Tehran were collected from the Internet between the summer of 2020 to winter 2021 and using "data clustering" and "Association Rules Extraction" methods, the value components were extracted and RapidMiner software and Python programming language were used to perform data mining, text mining and big data analysis processes. In summary, the findings demonstrate that by employing big data analysis and machine learning, the process of "marketing research" can be performed with greater speed, accuracy, and extensiveness, as well as at a lower relative cost. The findings and suggestions of this study are used to inform marketing researchers, as well as to raise the awareness of managers, especially in hotel industry.

In this paper, author seeks to explore the dominant determinants that would influence the behaviour of Yuan per SDR especially during the period of Covid-19 from 2020m₁ to 2021m₇ since Yuan enters into the SDR basket from October 2016.Author selected three dimensions such as dominant macro variables, exchange rates and important capital market indicators. The paper found that Yuan/US$ had great influence on Yuan per SDR rate, export, import and foreign exchange reserves which affected Yuan per SDR rate and market capitalization, number of listed companies, Shanghai Composite Index and interbank lending trading volume have significant impact on the Yuan per SDR during the specified period. The paper focus on the policies of capital account convertibility, exchange rate stability, more participation in interbank lending, balance the onshore and offshore RMB market, and strengthening capital market of China.

Today, a critical situation is created by the Covid-19 virus, which has changed consumer behavior. One of the most important changes in this area is the trend towards sustainable consumption behavior that companies can use as an opportunity to attract customers.Therefore, this study examines the effect of the Covid-19 virus on the sustainable consumption behavior of customers in chain stores by examining customer data in Iran. This research is a descriptive survey type and a questionnaire tool has been used to collect data and measure variables in order to examine the research model. The statistical sample was selected by random sampling from customers of chain stores in Tehran and the data were analyzed using Smart PLS software. Findings showed that the Covid-19 virus has a direct and significant effect on individual, social and situational factors of customers and these factors also have a significant effect on attitudes, intentions, and ultimately sustainable consumption behavior of customers. The results show that chain stores and their suppliers should increase attention, supply, and sales of sustainable consumable products.

The male workers and female workers’ equal rights are guaranteed in the constitution of Republic of Indonesia 1945 article 28 D section 2, it underlines that everybody has the right to work and to get fair and appropriate compensation and treatment concerning work. In this case, all workers have fair treatment in the type of work, the placement of positions in work, and the provision of salary, which is guaranteed by the nation. Justice contains basic rights and needs of people throughout the world in the form of universal moral values. The moral values of justice are every nation’s ideals that have many various groups’ concerns. In this case, justice becomes an agreement of various society's elements that wish an equitable and affluent life of the nation.

The purpose of this study is to see how users' performance expectations affect their behavioural intention to use m-commerce applications in Libya. The participants of this study are 310 respondents. Unified theory of acceptance and use of technology (UTAUT) has supported the hypothesis of this study. The findings suggested that there is positively relationship between users’ performance expectancy and users' behavioral intention. Furthermore, performance expectancy has a positive effect on behavioral intention to use m-commerce. This study contributes to the body knowledge on m-commerce usage. It also providing practical guidance for the Libyan government on how to improve user intention for use m-commerce systems.

In recent years, construction of an optimal portfolio has become progressively more challenge, since investors expect maximum return with minimum risk from their respective investment. To achieve this, the investor needs to have appropriate knowledge about the security analysis and portfolio theory for making accurate investment decisions. Even though Harry Markowitz developed a comprehensive model which stated that investors can reduce their risk through diversification, this research paper uses Sharpe ‘s Single Index Model (SIM) to construct an optimal portfolio. Reason being SIM requires very few inputs and is easier to calculate. The results showed that, forty-two stocks were bullish during the study period and benefitted investor with positive returns consistently and eight stocks showed negative trend/returns. As per the results obtained from the model, Optimal Portfolio is built by selecting twelve stocks which are above the cut off rate. This paper throws light not only on the method of constructing the portfolio and its application, but also calculates intrinsic value for the above selected stocks. As the result only 10 stocks show progressive intrinsic value. This research paper found that though nifty 50 was down by 7500 points by last of march, Pharmaceutical field securities strived due to covid 19 crisis.

Occupational health and architecture on the modern office-based work environment is a major public health concern of this era. Information and communication technology have created a world where a high-quality working environment is vital for the office workers. Majority of the nation provide quantity rather than quality of work conditions. According to the researcher’s poor indoor environmental quality, such as illumination, has a detrimental influence on human health and performance. The purpose of this study is to discuss about the effect of day light illumination on worker productivity. This paper has analyzed previous researches and have directed for future research. This study also shows that an adverse day light condition has a negative impact on workers' health and resulting adverse effect on productivity and efficiency. They are also at risk of contracting occupational ailments. Proper day light illumination is advisable which is a necessity for both employee and employer.

Normally, investors perceive stock splits announcement in positive way. Hence, it becomes interesting phenomenon for many researchers. Thus, here, researcher has tried to study impact of selected stock splits on stock price performance in Indian stock market with reference to cumulative abnormal returns (CAR) and cumulative average abnormal returns (CAAR) by selecting 10 stock splits announced by BSE listed companies from different sectors during January 2021 to May 2021 period. The market model-event study methodology was used for the analysis. An event window of 81 days (t-40 to t+40) and estimation period of 30 days prior to stock splits announcements were used to investigate the market reaction. The findings of the analysis support the semi-strong form of efficient market hypothesis in Indian stock market.

Unlike traditional market this modern competitive market includes a very important thing that motivates customers which is online reviews provided by existing customers. By keeping this situation in mind this study was focused on filling a very important research gap that is whether there is any influence of 4P’s (Product, Price, Place and Promotion) of marketing mix influences customers the most for providing online reviews or not. For this purpose, Empirical research with descriptive cross-sectional research design was used and for the purpose of data collection convenience sampling method was utilized and data collected from 198 respondents. Before collecting the data, a pilot study with 44 respondents was used for analysing the reliability of data collection instrument. After finding the Cronbach’s alpha value 0.933, measurement model was utilized for checking the fit of proposed model and the model was validated based on several fit indices such as CMIN/df, GFI, CFI, SRMR and RMSEA as the values of each of them that is 2.080, .910, 0.943, 0.050, 0.076 are less than the cut-off values that. in the end structural path model was used for seeing the direction of the constructs and also for testing hypotheses. The results based on completely statistics showing a very interesting direction and a conclusion that shows 4P’s of marketing mix has no significant influence upon attitude customers for providing online reviews.

The sales of Fabindia, the 60 years old retailer with 327 retail stores across Indian metropolis, 14 overseas stores in prime locations and over 60,000 rural producers, is severely impacted by the ongoing pandemic. Its overseas business has shrunk by 35% and domestic sales down by 25%. Fabindia wants to know - how to solve its current cash flow problem and what actions it should take to sustain its growth.

In India the present economy must be reconstructed. For thatwe need innovative infrastructure such as sanitation, drivable roads and potable water. Formerly, many governments used to finance for infrastructure projects by supportigthese projects. But this support is no longer sustainable in developed countries due to the emerging deficits and sovereign debt. Additionally, infrastructure stimulus packages will reasonably reverse as governments look to bring their financial condition under control. The present research will try to evaluate the socio-economic development by looking at opportunities for economic productivity, socio-economic capability to enhance a sustainable and healthy life with equal economic distribution. The tools used here are Exploratory Factor Analysis mainly, using Principal Component Analysis with Varimax Method of rotation. The study has been done on our heritage bridge i.e Howrah Bridge and it has been sub-divided into various sub-sections based on a structured questionnaire.

The United Nations Development Programme's (UNDP) 2030 Agenda for Sustainable Development and its 17 Sustainable Development Goals (SDGs) provide a powerful framework for guiding local communities, countries, and the international community toward disability-inclusive development. Accessible, well-designed, and maintained public space is critical to the health of any city. Yet public spaces are generally created for an ideal individual without disability or limitation. Reasonable accommodations and support systems must be in place for all disabilities more so for invisible disabilities. In the urban environment, there are very few places for individuals with Autism Spectrum Disorder (ASD) to congregate and socialize. For most individuals with ASD and their families, shopping in malls, an activity that most of us take for granted, become so challenging that they often avoid it. In this paper we discuss how the retail giant Big Bazaar addressed this issue and took some major steps to make shopping in their outlets a hassle free, happy experience for individuals with ASD. Big Bazaar has made its stores accessible to people with disabilities by implementing disability-friendly accessibility programs and infrastructure improvements. This initiative was based on their larger philosophy on inclusion and empowerment of people with disabilities. It is part of the new mantra coined at Big Bazaar to incorporate the philosophy of “Sabke Liye” meaning ‘for everyone’. Big Bazaar launched Autism Quiet Hour in April 2019 and it has been a regular feature every Tuesday. Several measures are taken during this duration so that the shopping area is autism friendly. Autism Society West Bengal (ASWB) was the NGO partner of Big Bazaar in Kolkata and was active in the awareness and sensitization program prior to the launch of Autism Quiet Hour in two outlets of Big Bazaar in Kolkata. In this paper we will also discuss about the measures that Big Bazaar took to make the shopping experience for individuals with autism a happy one.

Telecommunication sector has a great importance for the socio-economic development of a country, and it is immeasurable. In the competitive market, telecommunication sector ensures customer satisfaction and customer’s pivotal attention greatly. The major aims of this study are to know about the degree of customer satisfaction in Bangladesh and to find out its significance factors such as organizational efficiency, organizational competency, service- quality and product price. To achieve these objectives, primary and secondary data have been used. For collecting primary data, Simple random sampling technique has been used and 400-questionnaire was surveyed. Statistical Package for Social Science (SPSS) and Smart PLS 3.2.3 technique was used for analysing the data. The study found that old age and illiterate personality has no feelings and thinking about service offer, price, internet facilities etc. They want good network and talk time service. But educated personality and young age people are very conscious about talk time, network, service quality, internet facility, product offers etc. The study also revealed that organizational competency and organizational efficiency of the organization has no effect on customer satisfaction. The study also finds out that product price and service quality have a significant impact on customer satisfaction of telecom sector in Bangladesh.

Virtual offices are becoming increasingly popular in wide range of industries which comes by virtue of its various economic benefits and increased accessibility to the marketplaces. Virtual offices are eliminating the space and time constraints making it possible to work anytime from anywhere. Alongside, it is also helping the environment in multiple ways by cutting down the transportation need, reducing energy wastages. However, virtual office concept is very new to civil engineering design industry in Singapore. This specific industry is depending almost entirely on the traditional office culture where human resource management problems persist typically. Highly competitive working culture in Singapore demands qualified employees and an effective output delivery, keeping the cost incurrence as less as possible to thrive in a business. There is not much research done in the past to build successful virtual office models in Civil engineering design industry in Singapore. This study examines the factors influencing the success of a virtual office in this industry in Singapore. It can be concluded that it is always good to have physically located staffs. Virtual office in civil engineering industry must be present partially which could bring economic and administrative profits.

In this paper, author seeks to explore the dominant determinants that would influence the behaviour of Yuan per SDR especially during the period of Covid-19 from 2020m₁ to 2021m₇ since Yuan enters into the SDR basket from October 2016.Author selected three dimensions such as dominant macro variables, exchange rates and important capital market indicators. The paper found that Yuan/US$ had great influence on Yuan per SDR rate, export, import and foreign exchange reserves which affected Yuan per SDR rate and market capitalization, number of listed companies, Shanghai Composite Index and interbank lending trading volume have significant impact on the Yuan per SDR during the specified period. The paper focus on the policies of capital account convertibility, exchange rate stability, more participation in interbank lending, balance the onshore and offshore RMB market, and strengthening capital market of China.

Covid-19 pandemic emerged as a Black Swan event that has shaken the global economy. In the present study the researchers have tried to determine the Impact of Covid-19 pandemic on the US Stock markets using data of Covid-19 confirmed cases and closing price of Dow Jones Index over the period January 21,2020 to May 31,2020. To determine the relationship between covid-19 and US stock market Granger-Casualty test and Johnsen Co-integration test. The Study findings revealed that there is a short-term relationship between this two which means the Covid-19 pandemic has positive impact on price of stock market in a short run.

The adoption of credit risk management is becoming a crucial factor for every bank. The objective of this study identifies the relationship between the credit risk management determinants revealed by banking soundness index indicators CAMEL (Capital adequacy, Assets quality, Management efficiency, Earnings, Liquidity) on the performance of the License Specialize banks in Sri Lanka. This study is based on secondary data from each bank annual reports. The data were collected from six development bank among seven development banks in Sri Lanka. The sample was selected from the population based on the availability, convenience method, and reliability of data over the set period. The panel data of a sixteen-year period from 2000 to 2016 from the selected banks, were used to examine the relationship between credit risk management and performance. The Return on equity is used as a performance indicator and Capital adequacy and Asset quality were used as indicators of credit risk management. The study used multiple regression to analyze the data. With these findings, it revealed there is a strong impact of the CAMEL components on the financial performance of specialized banks in Sri Lanka. As per the findings of analysis Capital Adequacy, and Asset quality has a negative significant relationship between bank performances of ROE. This study also documented that there is a significant relationship between credit risk management by CAMEL Indicators and the financial performance of specialized banks in Sri Lanka. Therefore, this study suggests that the CAMEL model can be used as a proxy for credit risk management in the context of License Specialize banks Sri Lanka.

The digital media influences our selection of brand-new clothes, gadgets, entertainment and even influence our investment options available and other financial tactics. Digitalization has made us depend and sometimes re-check our own decisions over the internet-based sites to confirm our actions as right or wrong. This dependency has its own Pros and Cons. Social-media includes various platforms such as – YouTube, Instagram, Facebook, Twitter, LinkedIn, Inshorts and many other digitalised news and reviewing sharing platforms. All these platforms apart from being the medium of communication between people, they as well provide content that can be purely informative, and Entertainment based With this article we are focusing on the particular informative content available on social-media networking sites that influences one’s financial investment options. The content creators on YouTube, Instagram or Facebook teach about different investment options available to people which they might have not been aware about. Many creators market about a particular investment option and try influencing people with their tactics. The Instagram memes or what we call as posts regarding a particular stock market or cryptocurrencies creates awareness and slightly influences people in venturing the available investment options. Stating an example, Elon Musk’s Tweet about his support towards cryptocurrency-D ogecoin, had overnight raised the investment in cryptocurrency by 8%. This is the influence of the one Tweet made by Elon Musk. There are many such instances where people follow their ideal financial guidance Creator or teacher on social media to take their financial actions. Considering the behavioural actions of the young adults and the impactful nature of the social media platforms, this article calls to analyse and understand the “Social media influence on the investment options among the young adults in India.”

Thisstudy was aimedto achieve the general objective of assessing the impact of internal/employer-provided training on employee and organizational outcomes. More specifically, the study covered theimpact of training on employees, the impact of training on rate of employee turnover in companies(including a comparative analysis of the costs involved in the processes of training and hiring andfiring employees), and the impact of training on the general firing trends of companies. The researchadopted the quantitative researchmethod which relied on data and information collected through twoquestionnaires which were distributed to 200 respondents. The responses were purposively sampledand analysed to make conclusions based on a deductive research approach. The study established astrong positive relationship between internal training and positive outcomes for both employees andcompanies.

The paper endeavours to analyse the cyclical fluctuation, seasonal movement and trends of Indian GDP growth rate by applying both Hodrick-Prescott filter and Hamilton filter models taking St.Louisfred quarterly data from 2011Q4 to 2019Q4.The paper concludes that the seasonal adjustment and actual GDP growth rate of India have been merged with each other and they are identical in both the models. But the cyclical trend in H.P.Filter showed one upward humped but Hamilton filter showed cyclical fluctuations with two peaks and troughs and the seasonal variations are v shaped and highly volatile. Hamilton seasonal variations have been verified by applying residual test of correlogram which explained that autocorrelation and partial autocorrelation functions moved around both the sides significantly. Hamilton regression filter model is extended to forecasting ARIMA (1,0,0) model for 2030 which confirmed stationarity and stability. Even, the final trend cycle of GDP growth rate of India converges towards stationary process for 2025. Countercyclical fiscal and monetary policy including financial management strategies have been incorporated.