A5102807091- Digital Marketing and Social Media
- Technology Adoption and User Behaviour
- Consumer Retail Behavior Studies
- Knowledge Management and Sharing
- Online and Blended Learning
- Machine Learning in Materials Science
- Online Learning and Analytics
- Education and Islamic Studies
- Decision-Making and Behavioral Economics
- Educational Games and Gamification
- Financial Markets and Investment Strategies
- Consumer Perception and Purchasing Behavior
- Educational and Technological Research
- FinTech, Crowdfunding, Digital Finance
- Environmental Sustainability in Business
- Asymmetric Hydrogenation and Catalysis
- AI in Service Interactions
- Data Quality and Management
- Organic Food and Agriculture
- Spam and Phishing Detection
- Market Dynamics and Volatility
- Advanced Graph Neural Networks
- Complex Network Analysis Techniques
- Autonomous Vehicle Technology and Safety
- Catalysis and Hydrodesulfurization Studies
Christ University
2022-2024
University of St Andrews
2022-2023
Institute of Management Technology
2018
IMS Unison University
2018
In today's world, the social-based online network systems are rapidly expanding, which results in large accumulation of data. When we try to examine this enormous amount data that has been collected these systems, face new difficulties. The forecasting user social relationships is one intensively researched topics. Link prediction locates broken links or forecasts probability links. problem an extremely well-researched issue and uses across a wide range fields, some can frequently be...
The report describes the application of machine learning tools to predict hydrogenation esters using molecular catalysts based on ruthenium.
How can digital platforms and applications engage users? This question remains of foremost interest to managers such settings. In this study, we offer an informational answer problem, showing that contexts users through contests competitions leverage information signals about rivals influence engagement. More precisely, show the effect relative absolute rival expertise has a distinct on focal user’s engagement in two-player online vocabulary game. Our findings several recommendations for...
Objective: Given the importance of intrinsic motivation factors teachers, objective this paper is to define how far these are associated with academic performance. The purpose find out significance teachers in their performance outcomes and examine “In any manner it contributing towards fulfillment quality education? Design/Methodology/Approach: has a two part structure. first establishes research theme help qualitative literature. second fulfills objectives by utilizing statistical tools:...
In this study, we examine the social information signal as a driver of user engagement. Specifically, model two distinct outcomes related to engagement: content consumption (e.g. watching video) and organisation adding video playlist). Given increasingly nature digital platforms, predict engagement actions function Peer Expert signals. We employ series field experiments on mobile e-learning application tease out distinction between (CC) (CO) based users' responses signals distinguished...
Purpose - The purpose of this study was to assess the impact demographic factors management teachers on their academic performance with special reference Dr. A P.J. Abdul Kalam Technical University, Lucknow (India). Design/methodology/approach – In research, respondents were selected from various institutions affiliated questionnaire distributed 300 and data collected for analysis. Around 20 questionnaires rejected due incomplete information analysis performed 280 respondents. Kruskal...
In this study, we examine the determinants of user engagement in e-learning platforms. Specifically, model two distinct outcomes related to engagement: content consumption (e.g., watching a video) and organization adding video playlist). Given increasing social nature applications, predict these as function observational learning (OL) expert recommendation (ER) information signals. We employ series field experiments on mobile application tease out causal influence OL ER signals CC CO....
Catalytic hydrogenation of esters is a sustainable approach for the production fine chemicals, and pharmaceutical drugs. However, efficiency cost catalysts are often bottlenecks in commercialization such technologies. The conventional catalyst discovery based on empiricism that makes process time-consuming expensive. There an urgent need to develop effective approaches discover efficient reactions. We demonstrate here machine learning prediction out-comes catalytic esters. Our models can...
The objective of this paper is to explain how social media has impacted the consumer decision process as heavy use created a new landscape which lays out avenue for personal connections. also explores individuals are seeking information on and they processing selecting before making final purchase. empirical data study been gathered using structured questionnaire. descriptive statistics were performed select parameters survey instrument. findings confirm that there significant variance...
Subjectivity and emotionality of a brand influence the subconscious motivation customers. It determines loyalty, value brand, sustainability relationship with This study explores qualitative dimensions aims to analyze impact on equity. In present study, sample 450 respondents were taken who have positive inclination towards Apple iPhone. The variables extracted using research while data processed SPSS 20 statistical software. hybrid approach is used in as it delivers better result. proposed...