Purpose: The main aim of this research is to explore the moderating effect of age and size of the firm on the relationship between selected capital structure and performance variables of non-financial Indian companies listed on an index of National Stock Exchange (NSE) named NSE 500 for a period of 21 years (2000-2020) Design/methodology/approach: Pooled Ordinary Least Square Method, Fixed Effect and Random Regression Model Findings: The empirical results show that selected variables of capital structure have a negative impact on financial performance variables. Further, with the inclusion of age and size as moderating variables under the selected Regression Model results showed that both the moderating variables play a significant moderating role in the relationship between capital structure and firm performance.

As a significant source of greenhouse gas emissions, restaurants confront environmental and economic issues. Customers and associated concerns look for restaurants to be socially responsible. Therefore, making solid environmental decisions is crucial to their success. More restaurant operators see the need for eco-friendly operations and are trying to satisfy it. "Green" restaurants have risen as more businesses decrease their carbon footprint. Consumer behaviour in this area needs additional research. Despite the abundance of sustainability studies in the restaurant business, there are few on green attitudes. To the authors, no empirical research has been undertaken in Rajasthan, India's unique cultural state.This researcher employed an updated theoretical framework (TPB)to explain guests' intents to eat at green services provided restaurants (TPB). The work objectives of the studywas to examine how consumer views regarding green restaurants are influenced by subjective standards, perceived behaviour control, and normative beliefs.

The purpose of this paper was to identify factors influencing research productivity of faculty working at higher education institutions. Exploratory Factor Analysis was used to validate the model and also to explore the relationships among variables. Using principal component analysis, 33 independent variables were identified into eight factors which significantly affect the research output of faculty members. These factors, in the order of influence, include Knowledge, Institutional support, Collaboration, Motivation, Recognition, Workload, Research assistance and Exposure. The identified factors may be harnessed to come up with policy interventions to increase research output of higher education institutions and their faculty member

Individuals or employees invest in the National Pension System (NPS) intending to grow their money and receive a pension at the time of retirement. The pension system is directly related to stock market fluctuations and as a result, returns from NPS account to the investors cannot be possible to predict easily. However, due to the impact on investors' savings, any NPS investor, new or old, must assess the performance of the pension schemes. This study has taken into account the performance of all three funds under the State Government Scheme of NPS. The study makes use of NAV data of the funds under consideration for ten years. Descriptive statistics, correlation, One Way ANOVA, weighted average return, straight line equation, return per unit of risk, Sharpe and Treynor ratios were used for analysis. According to the study, the weighted average return of the State Government Scheme in NPS is 9.23%. Furthermore, the study discovers that the returns of the funds have a strong and positive correlation between them.

Organizations must contend with competitive and globalized marketplaces and ongoing environmental changes, which frequently make it important for an organization to restructure the business models for improving the overall performance. The various techniques of managing the project can thereby assist an organizations in achieving strategic goals and increasing the value of initiatives. This will be followed with the necessary support which can be obtained by the PMO's office. Project management offices (PMO) are dynamic organizational units that frequently need to change and adapt their characteristics to maintain their value to the organization. It creates uncertainty on setting up, running, and developing successful PMOs. We have discussed the PMO domain, which includes Control, Influence, and concern, along with its categories & interactions between these domains to fulfil the PMO-mandated services and continuously evaluate and improve its service offerings.

Talent management is connected to the process of attracting, recruiting, and retaining academic members and slowly gaining importance in Higher Education Institutions (HEI). The faculty of any institution determines itsfuture. The talent of individuals that an educational institution is able to recruit and keep on staff is related to various institutional or organisational attributes such as the infrastructure, faculty development programmes, performance management, etc.High turnover rate is the major of challenges faced by HEI. The unexpected disappearance of the existing workforce can have a detrimental effect on the academic planning and structure that were previously in place in any institution. As a result, it is important that institutions establish and implement processes so as to compete successfully in the market so that they may recruit and retain the finest faculty talent for themselves. Hence, acquiring new teachers and developing strategies for employee retention is undoubtedly are most crucial for talent management. The present study is a preliminary investigation to know how talent management is understood by the faculty members of management institutions in Pune,

The research addresses the pertinent issue of addressing consumer concerns associated with online purchase. There are several measures adopted by the online sellers to manage consumer insecurities associated with online buying; Legal interventions, display of policy statements on shopping websites, third party seals, standard procedures adopted for delivery, return of products, safe payment gateways etc. are examples of some practices and methods used by online sellers. Some of these methods such as third-party seals, policy statements have been used by online sellers for a long time.

This paper is a case study of one of the ideal villages of Maharashtra named Hiware Bazar also termed as village of Millionaires. Hiware Bazar has transformed itself from drought prone area to an ideal village. The factors that make a village an ideal village are sustainability, connectivity, community involvement and technology. Hiware Bazar is having good connectivity, it has managed to sustain and the whole village is involved. The latest development after demonetization and pandemic is the use of Technology for financial matters. The research sample here is the shop owners, land lords, dairy farmers and all types of commercial organizations in Hiware Bazar. The study aims to find out the relationship between age and use of online transactions and the study aims to understand whether the residents of Hiware bazar are preparing books of accounts digitally and maintaining them in Softcopies. Also whether there is a significant relationship between age and perception towards online payment methods in Hiware Bazar. For the purpose of research 113 samples were taken who were involved in different commercial activities, farming and dairy farming. It is expected that villagers of Hiware bazar may be maintianing the books of accounts digitally as it is the richest village of India boasting the highest Per Capita Income in the country.

Conventional marketing techniques were criticized by many philanthropic marketing researchers. In 1960s this criticism transformed into volcanic eruption, which leads to the emergence of societal marketing concept. Societal marketing concept has primary responsibility to consider responsible consumption as the key concept while designing the integrated marketing activities considering long term social welfare, in which every marketing planning execution was seen through the lance of ecological, social and environmental impacts on the society. In this paper, Author tries to find out how societal marketing evolved from the 1960s to present. The study aims at mapping the trends in context of publications, responsiveness towards societal marketing & environmental responsible consumption trends over the past years.

Determining good financial performance of firm is key concern area for management. Management works in a variety of areas to address this issue, including total quality management, cost-cutting strategies, increasing sales revenue, growth and expansion, preventative maintenance, improving employee productivity, determining the ideal capital structure, etc. The study discuss the effects of capital structure on the financial performance of 56, NSE-listed companies from 2006 to 2020 will be examined. Through the use of Pearson's Coefficient of Correlation, Regression Analysis, and One Way ANOVA, the pertinent hypothesis has been developed and tested. “Return on Capital Employed, log of Total Assets, log of Total Sales, Debt to Equity Ratio, Interest Coverage Ratio, Dividend Payout Ratio, Degree of Operating Leverage, and Degree of Financial Leverage” have all been used as indicators of a firm's financial performance. The results demonstrate that there is no substantial relationship between financial structure and financial performance of listed companies

As a result of a wide range of influencing factors, the amount of stress experienced by Indian workers has grown, which is a major source of worry for companies. This research used various machine learning techniques to acquire its true data, and it was conducted with the participation of Indian working professionals. The goal was to better understand the elements that influence the psychological health of professionals. This research looks at things from two different angles. The first step is to recognise the significant causal factors that bring about stress in the lives of working professionals, as well as the second step is to anticipate the degrees of stress that they experienced. Experiments have been done using a variety of supervised machine learning methods. The KNN Algorithm has the best accuracy in comparison to Decision Tree Algorithm and the naïve Bayes Algorithm. This study predicted stress and psychological issues using machine learning.

Today's dynamic workplace has a different working schedule than in the past, which typically starts in the morning at 10 and ends in the evening (Bharath, 2009). The global market's technology advancements have caused people's beliefs, values, attitudes, views, thinking, and behavior to alter at work and at home, which has an impact on their personal, professional, and familial lives (Geevarghese& Devi K.K.S., 2018). Organizations can now easily stay in touch with their staff day and night because of technology (Morgan, 2003). Employees are under pressure and obliged to focus extra on work and less on personal life as a result of the increased workload. Due to stress and an imbalanced workload, employees no longer have such a healthy harmony between their professional and personal life, according to Bhagwagar (2009). Worklife harmony is now seen by both employers and employees as a major issue (Sturges& Guest D., 2004). Work-life conflict has grown as a result of shifts in the workforce's demographics and the substantial growth in the proportion of female employees over the past few decades. (2005) Boyar et al. An unbalanced work-life schedule hurts performance and job satisfaction, which eventually increases the likelihood of turnover (Surienty et al., 2014). As a result of employee attrition, firms must spend a lot of money hiring and training new staff