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

Department of Technology Management

World University root node

School of Mechanical Engineering

Vellore Campus

Journal of Content, Community and Communication

A STUDY ON THE MEDIATING EFFECT OF FoMO ON SOCIAL MEDIA (INSTAGRAM) INDUCED TRAVEL ADDICTION AND RISK TAKING TRAVEL BEHAVIORAL INTENTION IN YOUTH

Journal of Loss and Trauma

Bibliometric Visualization of Trauma and COVID-19

Diabetes and Metabolic Syndrome: Clinical Research and Reviews

What concerns Indian general public on second wave of COVID-19? A report on social media opinions

This longitudinal study explores the relationships between glass ceiling beliefs (i.e. denial, resilience, resignation, and acceptance) and the outcomes of work commitment and work turnover intention, mediated via work engagement, across two time waves. Using data collected from 400 women employees (mean age = 36.67 years) from the banking sector in India, the study found support for the mediating role of work engagement between glass ceiling beliefs and both work commitment and work turnover intention over time. Glass ceiling beliefs of denial and resilience were related positively to work engagement and commitment and related negatively to turnover intention over time. Resignation and acceptance were related negatively to work engagement and work commitment and related positively to work turnover intention over time. Apart from theoretical implications to the career literature, the organizational implications of this study include framing policies that focus on development of optimistic beliefs and transformation of pessimistic beliefs. © Australian Council for Educational Research 2020.

Australian Journal of Career Development

Psychological aspects of women’s career growth constraints and outcomes: A longitudinal study from India

In this current data-driven world, corporate and industries need decisions driven by data for staying ahead of the competition and to satisfy the customers. To calculate the results using algorithms that could learn from the fluctuations and abnormalities has been sought after by tech companies as we are now started moving towards industry 4.0. At this time of advent, Machine Learning and Data Science are going to play a major role in shaping the industry and help in its operations. Furthermore, if we look into the industries, many tech and manufacturing conglomerates need suppliers to furnish them with services, materials, and semi-finished products for their operations. Finding the best supplier has been an age-old problem and several solutions have been introduced over the period. In this paper, we will look at how this age-old problem could be solved using modern techniques. © IAEME Publication Scopus Indexed.

Department of Manufacturing Engineering

International Journal of Advanced Research in Engineering and Technology

Ranking of supplier performance using machine learning algorithm of random forest

The current research describes the synthesis and testing of FRP under tensile loading and high temperature conditions. The FRP is produced using Vacuum Infusion technique and cut in to different fibre sizes. The SEM (Scanning Electron Microscope) analysis is performed to determine the effect of matrix maturity, temperature, fibre inclination, and loading rate on fibre matrix. The findings have shown relationship of fibre volume on thermal and mechanical characteristics of FRP. © IAEME Publication Scopus Indexed.

Development and analysis of FRP based composite fibre

Decision-making has been one of the challenging tasks in solving real-world problems. Decision-making mimics human activity which in turn has noteworthy impacts. Several researches have proved that the quality of decisions has been improved by developing computer-based technologies that aid and extend the human capabilities. Decision support systems (DSS), which augment in making proper decisions, to an extent do sometimes lack intelligence. The recent advances in the field of artificial intelligence (AI) have made this possible in a wide range of multifarious applications. AI has the capability of mimicking human decision-making and has also shown that they are capable of assisting and improving human decision-making in real-time complex environments. Embedding intelligence into the DSS using the AI capabilities has been progressing, thus forming the intelligent support systems for decision-making (ISSDM). These support systems have been used in simplifying the decision-making process in several areas, namely, healthcare, cybersecurity, finance, marketing, and commerce. This chapter reviews the role of artificial intelligence tools such as artificial neural networks, fuzzy logic, bio-inspired algorithms, and intelligent agents in the decision-making process. © Springer Nature Switzerland AG 2020.

Department of Software and Systems Engineering

School of Information Technology and Engineering

Department of Computer Applications

Internet of Things for Industry 4.0 EAI/Springer Innovations in Communication and Computing

Decision Making Models Through AI for Internet of Things

Behavioural Finance is a psychological study in finance, with a special focus on individual level cognitive biases. It emerged over a period of time; Behavioural Portfolio Theory acts as a base for behavioural finance concept. The behavioural portfolio theory was formulated by Hersh Shefrin and Meir Statman (2000) via the theory of needs from Maslow (1943). This alternative formulation called Maslowian Portfolio Theory (MAPT).The origin of Behavioural finance is divided into Psychological, Financial and Economic. Current study is based on reviewing empirical, conceptual and literature based studies focused mainly on Behavioural Portfolio Theory and the author used Emerald insight database which compiles specifically the reputed Investment Journals for the time period 1960-2017.This paper helps in better understanding about the emergence and evolution of Behavioural Finance and how it helps to understand the orientation of investors towards their portfolio construction and investment decisions. © 2020 by Advance Scientific Research.

Journal of Critical Reviews

Role of behavioural finance in portfolio selection and investment decision-making

This study intended to develop new categories of smart phone usage patterns in to three types such as professional, social and personal centric usage and tested the same among different age groups, i.e., young, middle, old, etc. with reference to finding the intentions of usage patterns among the selected age groups. The survey had been conducted among 150 Indian smart phone users belong to different age groups and the results revealed: 1) all age groups intended to use smart phones for personal usage; 2) young age group users intended to use smart phones for professional usage; 3) whereas middle age group and old age group users intended to use smart phones for social and personal usage, respectively. The implications of the outcomes were discussed. Copyright © 2020 Inderscience Enterprises Ltd.

International Journal of Business Excellence

Investigating the relationship between age and smart phone usage patterns: Evidences from indian smart phone users

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Asian Journal of Psychiatry

First case of student suicide in India due to the COVID-19 education crisis: A brief report and preventive measures