Emotional Intelligence is an integral aspect of teacher's performance that adds value to their learning and enhances their competencies at the job. It also helps in demonstrating how well teachers could accommodate themselves under various stressful and challenging situations without losing their temper. The present study evaluates the relationship and impact of various dimensions of emotional intelligence, namely, Personal awareness, confidence in team and one self, conflict management and developing others within the team. The factors used under emotional intelligence against teacher's performance helps them to take a lead in the organisation and build constructive image among the stakeholders. The study used factor analysis to reveal out the factors that may affect the performance and help them to outperform their limits. Correlation and Regression tools will measure relationship and impact among the studied variables of Emotional Intelligence in contrast to teacher's performance. The study confers that there exist positive correlation and high impact of variables among emotional intelligence over teacher's performance.

The major aim of this research study is to investigate and discuss about the three foremost dimensions for change (climate for change, process for change and readiness for change) pertaining to manufacturing and service sector in the Era of pandemic Covid-19 crisis. The Sampling of the survey was conducted during the period of July - December 2020 in the private manufacturing and service sector in Saudi Arabia. To test the research objective set in this study, firstly we performed the correlations between the variables on the items that measured the various dimensions for change .Based on the findings of one sample t-test in table 3,the current study showed that the manufacturing and service companies created the climate for change during the pandemic COVID-19 through having (1). General support by the manager, (2).Trust in their leaders, (3). Cohesion, (4). participatory management, and (5). Politicking among the employees in the workplace. In terms of the process for change, employees were involved in the change process during the pandemic. Their management was able to manage and lead the change because there is an impression among employees about their management leading ability. Thus, the overall level for the process for change is positive. Employees, who participated in the survey, were intentionally ready for change and willing to devote their energy to implement the change.

In today's complex scenario, Mutual fund can be identified as an ideal investment which has a growing significance in India. Comparing with other financial instruments, mutual fund yields more returns based on portfolio investment. There are considered as best channels for small investors to mobilize their funds and further contribute to capital market. The main objective of the study is to understand the Awareness levels of the State Bank of India customers about SBI Systematic Investment Plans. A sample of 250 customers is collected from various Branches of State Bank of India operating in 5 divisions of erstwhile Nalgonda district of Telangana State. This study made an attempt to understand the level of awareness about Systematic Investment Plan of SBI customers which was understood to be very less. So, regarding this certain conclusions and suggestions were drawn.

Digital lending platforms are becoming popular day by day. They believe that CIBIL and other credit checks do not paint a complete picture of a loan applicant's creditworthiness. They've taken on to add hundreds and thousands of other data points to their process, not all of which are necessarily related to financial interactions. This can include information such as your educational merits and certifications, employment history, and even trivial information such as when you go to sleep, which websites you browse to, your messaging habits and daily location patterns. This paper explains effective utilization ofArtificial Intelligence and Machine Learning. The objectives of the research are to understand the financial contribution of quick loan to the revenue generation, to find out obstacles perceived and current causes that constitutes long process of loan disbursement, to find out changeover demand a prerequisite AI tool for its effective implementation and know what is the impact of the Quick loan on the customers and on economy. An in-depth analysis is done through structured questionnaire asked to bankers and loan customers. The analysis is done and statistical test is applied on effect of quick and safe loaning (lending of banks) by using Artificial Intelligence on the effectiveness of repayment and collection of loan (reduce in Non-Performing Assets);in the context of utility; and in the context to dependence on other disbursement tools of loaning. Keywords: Digital lending, quick loan, Artificial intelligence, Machine Learning and CIBIL.

To apply and retain human resources, organizations need to encompass their workforce as they are considered an essential source of competitive gain. If the workers are made aware of their work environment and their tasks and duties, it becomes easy for them to enhance their potential and increase productivity. The purpose of this study is to examine the relationship between human resource management techniques and employee outcomes at a Hyderabad-based software company. Samples were collected using a questionnaire from 110 employees, and data were analyzed using SPSS after. A comprehensive evaluation was conducted based on statistics and correlation analysis. The findings recommended that creating a balance and equal importance of work-life policies, recruitment and selection, training and development, compensation, and benefits can transform the present situations of software companies from less performing into high performing entities that provide more avenues on the employee. Keywords: Human Resource Management, Training, Compensation, Work-life Policies,Employee Performance

The growth of wealth and consumerism has been driven in the developed world by economic development and globalization. The Indian buyers of luxury have now pushed beyond high-net worth people. The rising aspirations of buying preferences and sales levels have resulted in a change in the capacity of Indian luxury consumers to the high middleclass segment. The commitment of the new rich to the glamorous lifestyles of their West by buying and owning globally renowned brands to uphold their global standards of consumption has led to the emergence of a luxurious consumer class in India. This new mass interest in luxury has fueled luxury growth in India, demonstrating the changing Indian buyer of luxury. The Indian Luxury Market, once thought to be impenetrable to international luxury markets, has now become an attractive destination. India, however, has not earned the attention of researchers who investigate the consumption of luxury, is one of the fastest growing economies in the world. The enormous potential of the Indian luxury market calls for researchers to understand Indian luxury consumers in depth. The lifestyle market, including clothing, shoes, watches and jewellery is growing because Indian customers now want a luxurious lifestyle.

Gone are the days when you had to contact a travel agent, see him in person, and make a never-ending series of irritating phone calls to enquire about travel and hotel arrangements. The purpose of this article is to emphasise the importance of Artificial Intelligence (AI) and Robotics in the tourism and hospitality sectors. Various technologies are being initiated into the tourism and hospitality industries in order to improve service and consumer experience and carveout a favourable image of their organizations. This study focuses on the predicted developments and challenges in adopting Artificial Intelligence in the tourism and hospitality industries. Artificial Intelligence (AI) is anticipated to have a significant impact on these sectors that will be reflected in the visitor's behaviour in the future. In this research, we intend to look at how Artificial Intelligence (AI) has impacted and continue to transform the important processes in the tourism and hospitality business. We will explore and analyse the pros and cons of the technological impacts of IT foundations of AI as they are applied to travel, tourism and hospitality sectors. Also, we will take a closer look and throw light on the AI systems and applications available in these industries in which the majority of these technologies are being implemented. Finally, we will address the critical concerns such as privacy, prejudice, and ethics in these sectors.

Corporate governance has become crucial for companies nowadays to attract investors. Though financial data are relevant for the investors to decide about in which company to invest in, Corporate governance disclosures are also looked upon by them. The adherence to good corporate governance reflects the virtuous management of the company. The purpose of this study is to know the perception of the individuals towards corporate governance and to know whether their investment decisions have been influenced by the extent of the corporate governance framework adopted by the company. This is a Questionnaire survey-based study undertaken through the circulation of Google forms to 150 individuals out of which 72 responded. The relevant hypotheses have been tested through the Chi-Square test of independence. A significant relationship has been found between the selection of investment in shares of the company adopting corporate governance with the opinion of the investor that adoption of CG could enhance transparency, accountability, shareholders value, the responsibility of the Board of directors, and internal control exercised in the company. Therefore, it has been recommended for the companies to improve their corporate governance disclosures as investors have become profound towards investment decision making.

The main purpose of the present research paper was to identify the Human Resource Management practices affecting the job satisfaction of employees. The target respondents were the employees working in Indian IT organizations located in North India. To study the hypotheses, data was gathered from 395 teleworkers and Smart PLS 2.0 was employed for analyzing the data. The results revealed that there was a significant relationship between performance appraisal and job satisfaction, employment security and job satisfaction, training and development and job satisfaction, compensation and rewards and job satisfaction. The employees have not given due weightage to the recruitment and selection practices as the contributor in affecting their job satisfaction level. As the COVID pandemic has affected the economies globally, the findings of the present study would be essential for the organizations to maintain the satisfaction of their employees during such crises.

The paper aims at ascertaining the determinants of financial performance for pharmaceutical industry. We use the financial data of one hundred and forty-one pharmaceutical companies listed in the Indian stock exchanges. The result of the data shows that logarithm of dividend to paid up capital, liquid ratio and logarithm of PBIT by total assets as independent variables emerge as determinants of the financial performance of pharmaceutical industry of the study. The results of the study may be used to compare with other foreign pharmaceutical companies to understand the determinants of financial performance. Further studies can be undertaken for company wise analysis in pharmaceutical industry in India.

Objective:The Aim of this paper is to analyze the suitability of digital currencies and blockchain innovation for getting monetary exchanges in Asian nations. A new understanding of money has arisen in the wake of the global economic crisis caused by the subprime mortgage crisis. It is entirely digital money, and all transactions take place across a decentralized network. Methods:This algorithm-encrypted currency is dependent on a dispersed network called the Blockchain and is said to be tamper-proof, transparent, and inclusive. Exchanges in blockchain innovation are amassed inside the chain of blocks, rather than customary registers, which paginate and consecutively record processes. Since it is replicated over numerous geographical locations all over the world, it is decentralized. Results:We suggest adding the Proof of Work idea to the SimBlock test system to spread out additional specific measurements roughly the block shape at the blockchain local area, in between one block and some other, to portray the hour of the mining system, and to show the hashing cost made.

The primary aim/objective of this study is to evaluate the relationship and impact of employee happiness on turnover intentions. The study is based on human relation theory and social exchange theory. Astructured survey questionnaire is used to conduct a study among academicians of private universities in Punjab. SPSS is used to evaluate the data gathered from respondents. The stated objectives are attained using correlation and regression approaches. As per the findings, employee happiness and turnover intentions are highly associated, yet there is a negative relationship between these two. According to regression results, employee happiness appears to improve turnover intentions. The study concludes that happy academicians are less likely to leave the university and vice versa. The relevance and drawbacks are examined in subsequent sections. There are very few studies done in the education industry so far, therefore the study aims to address study gap and add to the extant literature.