COGNITIVE RESILIENCE MECHANISMS AGAINST PERSISTENT ALGORITHMIC PERSUASION AND BEHAVIORAL NUDGING IN IMMERSIVE DIGITAL ENVIRONMENTS
Adaptive algorithms have become increasingly influential in shaping the nature of immersive digital experiences and have been used to continually personalise content, recommendations, and behavioural prompts. Since over 70% of users interact with AI-modified systems daily, algorithmic mediation is a factor in almost two-thirds of content viewing an...
By Mashkhura Khalimova, Nodira Urinova, Shohjahon Dehkonboev, Shakhlo Iskhakova, Atham Jurayev, Fotima Rafikova, Dilbar Jabborova
ANALYZING ZEN-C TOURIST ENGAGEMENT AND WINE TOURISM GROWTH AT SULA VINEYARDS AFTER THE PANDEMIC
This study analyzes the influence of Zen-C tourist engagement, a behavioral framework combining mindful, wellness-oriented travel preferences (Zen Factor) with post-pandemic safety and mobility adjustments (C Factor), on wine tourism growth at Sula Vineyards, India. Employing a quantitative cross-sectional design, primary data were collected via a ...
By S. Mahesh, R. Sangeetha
MECHANICAL ANALYSIS OF STRESS AND DEFORMATION IN LITHIUM BATTERY ELECTRODES DURING CHARGE–DISCHARGE CYCLES
Problem: Lithium-ion batteries are normally inhibited by mechanical degradation under the influence of diffusion that leads to rapid charging of the batteries. The non-uniform lithium concentration gradients, which trigger internal strain, bending, and interfacial failure, contribute to this problem in thick, porous electrodes. While these risks ar...
By Israa Meften Hashim
VILLAGE ROOMS AS LIVING HERITAGE ARCHITECTURAL SPACE SOCIAL MEMORY AND INTANGIBLE PRACTICES IN RURAL TÜRKIYE
Village rooms (KÖY ODALARI) in the village of SUSUZOSMANIYE/AFYONKARAHISAR are a significant feature of the rural heritage of Anatolia, combining architectural features and sociocultural values like hospitality, solidarity, collective memory, and local governance. Though the village rooms have been analyzed from an architectural and typologica...
By Melike Gürman, Şerife Ebru Okuyucu
GIS BASED URBAN LAND USE MAPPING AND PLANNING ASSESSMENT IN THE KINDA DISTRICT OF KUFA CITY
Urban land use maps give necessary information about the location and availability of different uses of lands in cities. Conventional mapping techniques take much time and money but with GIS techniques this process becomes quick and easier. This study examines the land uses of the Kinda district in Kufa city, Iraq, using GIS mapping techniques. The...
By Ahmed Yahya Abd Abbas, Safaa M. Almudhafar, Basim Almayyahi
A MACHINE LEARNING FRAMEWORK FOR EVALUATING CONSUMER PERCEPTIONS OF AI-GENERATED INFLUENCERS COMPARED TO HUMAN INFLUENCERS IN BRAND PROMOTION
The growing popularity of AI-generated virtual influencers on platforms like Instagram, TikTok, and YouTube has brought about changes in digital marketing through scalable and controllable promotion strategies for brands. Unfortunately, there is still a lack of quantitative models to help compare and measure consumer perceptions about AI-generated ...
By P. Saravanan, V.M. Shenbagaraman, Saravanan Devadoss, N. Arunfred
A GARCH MODEL ANALYSIS OF MACROECONOMIC VOLATILITY AND STOCK MARKET PERFORMANCE IN ASIAN COUNTRIES
Volatility is one of the most important factors in investment decision-making and financial risk management, and the role of volatility modelling in comprehending market dynamics is crucial. In this study, the volatility behaviour of six major stock markets in Asia—India, China, Japan, South Korea, Singapore and Hong Kong—has been explo...
By B. Tamil Selvan, K.T. Vijay Karthigeyan, Diksha Halder, J. Anand, K. Santhi, D. Sridevi
POST-MERGER INTEGRATION STRATEGIES AND THEIR INFLUENCE ON EMPLOYEE ADAPTABILITY AND ORGANIZATIONAL RESILIENCE IN THE IT SECTOR: A STRUCTURAL MODEL APPROACH
Mergers and Acquisitions (M&A) have been found to be one of the major strategies used in achieving growth, innovation, and competition within the IT industry. Nonetheless, most of the previous studies have focused either on the impact of M&As from the point of view of financial performance or the perspective of employees. The current resear...
By Madhan Shanmugasundaram, P. Saravanan, V. M. Ponniah
A HYBRID ENSEMBLE–DEEP LEARNING SYSTEM FOR MULTI-CROP RECOMMENDATION USING LIGHTGBM, CATBOOST, AND MLP
It is essential in the context of precision agriculture to be able to give accurate advice about the types of crops to grow, as the suitability of a crop depends on the complicated, nonlinear interactions between soil fertility, nutrient levels, and climatic conditions. Although the existing body of literature currently evaluates each recommender s...
By B. Ammanni, Sreerama Murty Maturi
A COMBINED PSM AND DID STUDY OF ESG RATING DIVERGENCE IN INDIA AFTER BRSR IMPLEMENTATION
The rising number of firms adopting ESG reporting frameworks has led to several inconsistencies in ESG ratings by various agencies, making it difficult to assess corporate sustainability performance for the benefit of the stakeholders, investors, and regulatory agencies. While the Business Responsibility and Sustainability Reporting (BRSR), which i...
By Lakshmi Narasimha Prasad Nagaragere, S. Prabakar