Narendra Ryali’s research while affiliated with Koneru Lakshmaiah Education Foundation and other places

In the recent era, advertising strategies are far more sophisticated than those of their predecessors. In marketing, business contacts are essential for online transactions. For that, communication needs to develop a database; this database marketing is also one of the best techniques to enhance the business and analyze the market strategies. Businesses may improve consumer experiences, streamline supply chains, and generate more income by analyzing E-Commerce market datasets using machine learning models. In the ever-changing and fiercely competitive world of e-commerce, the multi-stage strategy guarantees a thorough and efficient use of machine learning. Analyzing the database can help to understand the user's or industry's current requirements. Machine Learning models are developed to support the marketing sector. This machine learning model can efficiently operate or analyze e-commerce in different stages, i.e., systematic setup, status analysis, and model development with the implementation process. Using these models, it is possible to analyze the marketing database and create new marketing strategies for distributing marketing objects, the percentage of marketing channels, and the composition of marketing approaches based on the analysis of the marketing database. It underpins marketing theory, data collection, processing, and positive and negative control samples. It is suggested that e-commerce primarily adopt the database marketing method of the model prediction. This is done by substituting the predicted sample into the model for testing. The issue of unequal marketing item distribution may be resolved by machine learning algorithms on the one hand, and prospective customer loss can be efficiently avoided on the other. Also, a proposal for an application approach that enhances the effectiveness of existing database marketing techniques and supports model prediction is made.

Organizations use a variety of strategies to acquire a competitive advantage in today's competitive environment. The question is whether these behaviours are consistent with our organization's beliefs and ideals. Ethical activities are thus the solution. Managers or the top management now have a moral obligation to embrace these methods, thus businesses must incorporate social responsibility into every marketing choice they make. This study emphasizes the significance of employing ethical marketing methods to achieve a competitive advantage over competitors. The significance of manufacturers acting in a socially responsible manner is also highlighted in the study.

India is one of the emerging global markets and is considered as an investment destination from all over the world. Nowadays many investment alternatives available to the investors like Post office savings, insurance, chits, mutual funds and shares etc. Amongst the available investment alternatives, mutual funds are the most popular investment opportunity to the investors. Mutual Funds provide a platform for a common investor to participate in the capital market with professional fund management irrespective of the amount invested. It works on the concept of "Small drops of water can make big ocean". Small investors can also invest in mutual fund and earn a fair rate of return with less risk compared to shares and other financial products. It also provides the benefits of specialized services, expert knowledge, tax benefits, liquidity, profitability, and transparency etc. However it has been observed that most of the investors are not aware of the benefits of investing in mutual funds. This study will analyze the perception of investors towards investment in mutual funds with appropriate descriptive and inferential statistics.