ON LEVERAGING GENERATIVE ARTIFICIAL INTELLIGENCE (GENAI) FOR BEHAVIOR LEARNING AND PERSONALIZED MARKETING OPTIMIZATION
Generative AI (GenAI), especially GPT-3.5-turbo, has transformed the e-commerce marketing process because it offers personalized learning experiences and improves the customer experience. In this paper, we discuss the use of GenAI in consumer behavior analysis and the development of customized marketing strategies. It has been observ...
By Bsmah Alsulami, Budoor Alwated, Khadijah Barashid, Manal Abdullah, Monerah AlOsaimi, Samah Alhusayni
EXPLORING THE IMPACT OF AI-DRIVEN TALENT MANAGEMENT MODELS ON EMPLOYEE RETENTION IN INDIAN IT COMPANIES
Job dissatisfaction, lack of career growth and talent pool are also a problem in employee retention in the Indian IT industry. Traditional talent management practices fail to address the dynamic employee needs, which disengages employees, resulting in an increase in turnover cases. The paper focuses on the influence of AI-based talent management mo...
By Jagan Mohan, Arup Kumar Halder
A COMPREHENSIVE ANALYTICAL MODEL FOR DETECTING AND MAPPING CRIMES AGAINST WOMEN IN INDIA
Women's crimes in India are a serious social issue, and new-age solutions to their detection and prevention are essential. The article introduces an analytical model using modern data and geography tools to identify and map cases of violence against women in India. It uses several different types of sources such as police reports, social media and ...
By Aby Rose Varghese, Dr. R. Gunasundari
THE MODEL OF GREEN ENTREPRENEURSHIP FACTORS ON THE INTERNATIONALIZATION PERFORMANCE OF SMES IN CHINA: A CONCEPTUAL FRAMEWORK
Purpose: The study aims to establish the connection between green entrepreneurship variables, environmental management, green technologies, green commitment of individuals, and the environmentally sustainable workforce, and the performance of internationalization of the SME in China. It further examines the mediating position of eco-...
By Wang Jing Hui, Noor Afzainiza Afendi, Muhamad Ali Imran Bin Kamarudin
HORNED LIZARD-CATBOOST FRAMEWORK FOR CYBERBULLYING PREVENTION IN SOCIAL NETWORKS
Cyberbullying are becoming more susceptible to online social networks because of the large-scale usergenerated content. The current methods of detection are primarily post-event methods and lack built-in prevention strategies, thereby limiting their ability to ensure the protection of user privacy and platform security. In this paper, a H...
By N. Sheba Pari, K. Senthil Kumar
ENHANCING IP COMMERCIALIZATION PERFORMANCE IN SOCIAL SCIENCE ACADEMICS AND THE ROLE OF ENTREPRENEURIAL ORIENTATION, UNIVERSITY SUPPORT, AND SELF-EFFICACY
This research aims to propose and empirically examine a framework that explains how entrepreneurial orientation elements contribute to intellectual property commercialization performance among social science academicians in Malaysian public universities. Specifically, the framework explores the mediating role of university support and the moderatin...
By Khairil Azfar Bin Ahmad Zubir, Muhamad Ali Imran Bin Kamarudin
INTERSECTION OF PHILOLOGY AND SOCIOLOGY IN ANALYZING THE LINGUISTIC LANDSCAPE OF POSTCOLONIAL NATIONS
The paper delves into the query of how philology and sociology intersect when it comes to studying the linguistic terrain of postcolonial countries. The paper will explore the functionality of language in the public spaces as a symbol of power, identity, and resistance in postcolonial settings, with a specific emphasis on the linguistic signs in th...
By Sirojiddin Nurmatov, Dildora Mamaraimova, Nargiza Akhmedova, Gullolahon Mehmonaliyeva, Mehrinoza Alieva, Feruza Shukurova, Sarvinoz Qodirova, Nilufar Abdullayeva
A COMPREHENSIVE REVIEW OF CLASSIFICATION TECHNIQUES FOR ENDOMETRIOSIS DISEASE IDENTIFICATION
Medical disorders in women can often be the underlying cause of various symptoms and are frequently associated with anovulatory conditions, such as Endometriosis. The limitation of finding the specific diseases in image processing approach is complex structure tissue, early detection and treatment of these conditions are essential. To address these...
By J. Josphin Mary, V. Shanthi
NEXT-GENERATION SMART TRAFFIC MANAGEMENT SYSTEMS FOR REDUCING CONGESTION IN INDIAN METRO CITIES
In fast-developing Indian cities, congestion is a significant concern, as travel times are much longer, the environment is negatively affected, and infrastructure is overstretched. Conventional traffic management systems tend to be ineffective at addressing such problems because they rely on fixed traffic lights and lack data inputs. This paper pre...
By Anjali Goswami, Anjali Krushna Kadao
DEVELOPING THE EDU-OPT MODEL FOR STRATEGIC MANAGEMENT IN EDUCATIONAL INSTITUTION
The paper introduces a strategic management model called the EDU-OPT Model, which will help to improve the resilience of the operations of educational organizations and their financial sustainability, especially in a developing economy like Uzbekistan. The model utilizes the concepts of the Dynamic Stochastic General Equilibrium (DSGE) modeling whi...
By Sardorbek Isroilov, Kodirov Zokhid Zokirkhanovich, Akbarov Chingiz Adkhamjanovich, Sobirjonov Khumoyun Boburjon Ugli, Khusainov Ilyos Jamoliddin ugli