Department of Marketing

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

VIT Business School

Productivity is one of the important measures which helps for growth and development of economy of the country. The productivity plays a crucial part in organizational achievement of excellence which is essential for dynamic society. Optimum productivity of a company depends on coordination between all inputs that yield maximum profitability with minimum effort. Hence the present study is focus on an objective of identify and compare the factors influencing the Productivity as well as Profitability Performance of select Public and Private sector banks in India. The sample consists of 20 Banks which were operating in India. The study period considered for the study is ten years from 2008-09 to 2017- 18. The methodology which is used in the present study is Correlation analysis which helps to know the relationship between the select variables and Regression analysis is used to analyse the impact of select independent variables such as Sales Per employee, value added per employee, Profit before tax per employee, employee cost to sales and employee cost to value added on dependent variables like Return on Assets, Return on Equity and Value added per fixed assets. Further Independent sample test is used to assess the relationship between Productivity and Performance measures of select Public and Private sector Banks in India. Thus, the results from correlation analysis indicate that almost all the independent variables except Sales per employee and employee cost to sales have significant relationship with dependant variables in both Public sector and private sector banks. The Regression result shows that Sales per employee is having significant negative impact on Return on Assets, return on equity and Value added per fixed assets. Independent samples test reveals that the Private sector banks are showing superior performance than Public sector banks.

World University root node

Department of General Management

Vellore Campus

International Journal of Innovative Technology and Exploring Engineering Regular Issue

Effectiveness of Yield Measures on Performance and Profitability of Selected Banks in India

Social advertising, ads in social media platforms, have become popular in recent years because of the evolution of internet technologies such as web analytics and big data mining. The content of the social advertisement is tailored in order to personalize the message to the target consumer groups. In an effort to reach the prospects, marketers should focus on the social leads on social networking sites (SNS) to promote and to sell their brands/products. Drawing on, online personalized advertising literature, e-WOM recommendations and increasing privacy concerns and perceived ad personalization (conceptualized as functions of psychological reactance) on SNS leads to avoid such advertisements. The goal of the study is to investigate the impact of perceived personalization, privacy concern, and e-WOM to consumers' behavioral click through intentions towards social ads. This study contributed to the theory of psychological reactance by indicating that the individuals with less privacy concern and personalized recommendations from their contacts on SNS have a smaller amount of reactance towards social advertisements than commercial advertisements by marketers. Suggestions for advertisers, social media marketing practitioners conclude the paper.

VIT Unitversity

International Journal of E-Services and Mobile Applications

Perceived Personalization, Privacy Concern, e-WOM and Consumers' Click Through Intention in Social Advertising

On the 15th of April, 1912 the titanic witnessed a disaster resulting in the sinking of her passengers on the maiden voyage near North Atlantic. Even though it is a very long time since this maritime disaster took place, the idea behind what impacts each individual survival is still a great research attracting researcher’s attention. The approach taken in this paper is to utilize the publically available data set from website called Kaggle. Kaggle is a popular data science webpage that put together information of people in the titanic into a data set for the data mining competition: “Titanic: Machine Learning from Disaster”. The research and comparisons in this paper uses a few machine learning techniques and algorithms to analyse the data for classification and prediction of survivors. The prediction and efficiency of these algorithms depend greatly on data analysis and model. The techniques used to do so are Random Forest, Support Vector Machine, Gradient Boosting Machine.

International Journal of Recent Technology and Engineering Regular Issue

Prediction of Survivors in the Titanic Cruise

The paper examines the long-run relationship between innovation and economic growth in the European Economic Area (EEA) countries for the period 1989–2014. Using vector auto-regressive model for testing the Granger causalities, the study finds the presence of both unidirectional and bidirectional causality between innovation and economic growth. These results vary from country to country, depending upon the types of innovation indicators that are used in the empirical investigation process. The policy implication of this study is that economic policies should recognise the differences in innovation and economic growth in order to maintain sustainable development in EEA countries. Keywords: Innovation, Per capita economic growth, Granger causality, EEA countries

Fulltext

IIMB Management Review

Innovation and economic growth in European Economic Area countries: The Granger causality approach

The discussionon Corporate Social Responsibility (CSR) in the current scenario is getting special attention in business environment. In India, it is highly speaking since the companies’ act 2013 and its significance highlighted the need for integration of ethical principles in the businesses. Even though the educational institutions and university strived not to make profit from its business, institutions are frequently involved corporate social responsibility practices and contribute more for the society, legal, environment and customers. The aim of the study focused to explore empirically the relationship among the dimensions concerning CSR i.e., Environmental, Employer Employee, Customer, Legal and Societal with customer satisfaction among students of private university in Vellore, Tamilnadu. Design/Methodology – This research is basically an exploratory in nature. In this study the sample of selected private engineering college students inTamilnadu, have been taken to discover the influence of CSR on customer satisfaction. The test of Correlation Analysis have been used to test the hypotheses that is mentioned during the study. Findings – In the current study took the researcher to come up with the conclusion that the dimensions concerning CSR have a concrete relationship with Customer Satisfaction. The study is tested based up on the Test result specified by Pearsons Correlation which falls under -1 to +1 on the results.

International Journal of Recent Technology and Engineering 2

Corporate Social Responibility and Its Influence on Customer Satisfaction among Students of Selected Private Engineering Colleges in Tamilnadu

Aims: This study aims at analysing the influence of some of the most important external factors (macro economic variables) on the stock prices particularly the banking stocks of India listed in stock exchanges of the country. Sample Design: Multistage design. Place and Duration of Study: Public and private sector banks of India listed in stock exchanges of the country for a 12 year period i.e. 2006-07 to 2017-18. Methodology: On the basis of market capitalisation the top five banks from each sector i.e. public and private are selected. The data of stock prices of these banks is collected from the annual reports of the banks. The data of the explanatory variables is collected from the reports of Central Statistics Office, financial journals etc. Results: The impact of the explanatory macroeconomic variables on the market prices of these banking stocks for the period is analysed with the help of suitable statistical techniques viz., Mean, Standard Deviation, correlation, and Multiple Regression Analysis. Conclusion: Some of the macroeconomic variables are influencing the stock prices of the banks.

Journal of Economics, Management and Trade

Impact of Non-financial Determinants on Indian Banking Stocks – An Empirical Analysis

Recruitment through artificial Intelligence reduces the cost and saves time for HR managers in IT industry&nbsp;

International Journal of Mechanical Engineering and Technology

Recruitment through Artificial Intelligence: A conceptual Study

Understanding where a company is in its life cycle is important. The sustainable growth rate (SGR) is an indicator of what stage a company is in, in its life cycle. The position often determines corporate finance objectives such as what sources of financing to use, dividend pay-out policies, or overall competitive strategy. The purpose of this study is to analyze the actual growth rate as well as SGR and investigate the overall effect of selected independent variables on SGR. © 2019 John Wiley &amp; Sons, Ltd.

Strategic Change

A study on sustainable growth rate for firm survival

The objective of the research carried out is to understand the impact of selected economic variables (such as Crude Oil Price, GDP, Industrial Production, Exchange Rates, and Inflation) on credit rating of Indian companies.The sample comprises of 120 rating observations during the period 2012–2016 for a total of 24 companies of India.Measurement of central tendency – descriptive statistics is used where credit rating is used as dependent variable and five economic factors viz. Crude Oil Price, GDP, Industrial Production, Exchange Rates, and Inflation as the independent variables. Results from the analysis indicate that the credit rating responds in both linear, as well as nonlinear manner, to selected economic factors. Economic factors such as GDP, Industrial Production, and Exchange Rates have a linear relationship to credit rating, whereas Crude Oil price and Inflation have a non-linear impact upon the credit rating.

Investment Management and Financial Innovations

A study on economic factors affecting credit ratings of Indian companies

Quality of the work life of the employees in a manufacturing industry in Chennai