AN ECOLOGICAL FRAMEWORK OF STUDENT RESILIENCE IN THE POST-PANDEMIC CONTEXT
The paper examines the impact of online communities, learning environment, family harmony, and health habits, and their effects on student resilience and work-life balance in post-pandemic Kerala. It also studies the mediation effect of resilience between these factors and academic adaptability, as well as well-being. A mixed-method sequential desi...
By Bobby Pudukaden, A. Martin Jayaraj
DETERMINANTS OF EMPLOYEE ENGAGEMENT IN ORGANIZED RETAIL: AN ANALYTICAL STUDY
The study is an empirical study that examines the factors of employee engagement in the organized retailing sector of Bangalore, India. Since the industry is experiencing a rapid digitalization and high employee turnover, it is essential to understand what organizational and technological factors lead to workforce commitment. An organized survey wa...
By S. Varoodhini, Jalaja Anilkumar, Richa Das, T. Bharathi, S. Ramesh Babu, Arshiya Anjum, S. Mahabub Basha
HYBRID HYDROGEN ELECTRIC POWERTRAIN OPTIMIZATION FOR CONNECTED AUTONOMOUS VEHICLES IN URBAN TRAFFIC
The transition to low-carbon urban transport has catalyzed interest in hybrid hydrogen-electric powertrains for connected autonomous vehicles (CAVs), which offer zero tailpipe emissions, long driving range, and the potential to refuel quickly. The paper proposes a system-level optimization model for hybrid hydrogen-electric powertrains in urban tra...
By Anjali Goswami, Anjali Krushna Kadao
INTEGRATION OF IOT IN SMART BUILDING SYSTEMS FOR SUSTAINABLE URBAN DEVELOPMENT
The rapid growth of urban populations has exacerbated energy waste, resource inefficiency, and environmental degradation in contemporary cities, necessitating crucial, smart building solutions. This paper examines the incorporation of the Internet of Things (IoT) in intelligent buildings to facilitate sustainable urban development. The study helps ...
By Dawakit Lepcha, Kanchan Thakur
METARFM: A META-LEARNING FRAMEWORK FOR THE ADAPTIVE SELECTION OF RFM MODEL ARIANTS IN CUSTOMER SEGMENTATION
The Recency-Frequency-Monetary (RFM) model is a widely used method for customer segmentation, but its effectiveness depends on selecting the appropriate variant (e.g., weighted or entropy-based) for a given dataset. This selection process is typically manual and task-specific, leading to inconsistent results and limited generalizability. To address...
By F. Mary Magdalene Jane, V. Pream Sudha, S. Saranya, P. Usha, V. Santhana Lakshmi, S.R. Kalaiselvi
ENTREPRENEURIAL MARKETING AND INNOVATION CAPABILITIES IN HIGH TECHNOLOGY STARTUPS IN EMERGING ECONOMIES
Emerging economies have a dynamic and challenging business environment, which requires entrepreneurial marketing and innovation capabilities of the high-tech startups. Such startups are usually faced with issues of lack of resources, regulation and lack of proper infrastructure. In this regard, it is important to combine entrepreneurial marketing p...
By Jainish Roy, Rajesh Sehgal
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
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
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
DIGITAL SUPPLY CHAIN AND PROJECT MANAGEMENT PRACTICES FOR SMART INFRASTRUCTURE AND EPC ENGINEERING PROJECTS
The smart infrastructure construction projects implemented under the Engineering-Procurement-Construction (EPC) model have been growing more complicated with the globalized supply chains, the technology-induced complexity of the components employed, and the increased sustainability and risk management demands. Conventional EPC supply chain and proj...
By Sardorbek Isroilov, Azibaev Akhmadkhon Gulomjon ugli, Abdurakhimova Zulaykho Ikromjon kizi, Rashidkhon Uulu Atabek, Ismoilov Ravshanjon Yakubjon ugli