MARKET RESEARCH ANALYSIS OF RETAIL FASHION COSTUMES & APPAREL USING LLM—A QUALITATIVE STUDY Acta Innovations, 2026
Enhancing Care Experiences by Integrating AI-Powered Relationship Management Technology K R Sowmya, Krithika.J, S.Raja, Saranya.G, S.Prishaa, Rupashree S 2026 Innovations in Machine Engineering and Digital Conference Imed 2026, 2026 Customer relationship management in service sector is the primary point of discussion in this study. Health sector is the most prime one among the service sector and its services to the society is inevitable. There is no end to its needed enhancement in all aspects keeping in mind the unpredictable minds of the customers in the market. Digitalization of Customer Relationship management in Hospitals as a human –centric approach is the latest advent in the service sector. Customers’ perception about ten corporate hospitals from India with respect to the services in addition to digitalization was collected by convenience sampling using non-probability method. The data was collected from patients, and attenders that assisted patients to corporate hospitals. The corporate hospitals chosen are super- specialty hospitals in India and hence the customers were definitely of affordable segment. The respondents were customers who visited the same hospitals for more than a year. A 14 item scale was used to study the Customer relationship management in Hospitals. The influence of demographic variables on CRM was assessed. The major factors that contributed to customer perception about Customer relationship management were Initiation, Maintenance, Technology and Relationship. It was found that these factors have a positive correlation with CRM in hospitals. Exploratory Factor Analysis was exploited to identify the predominant factors that influence the costumers’ perception of Relationship Management in hospitals. The study highlights the key difficulties faced in implementation of CRM in Hospitals. Major studies emphasizes that CRM in hospitals increases performance and profitability of the Hospitals. However, studies on CRM in hospitals with respect to digitalization is very few and hence an attempt of this study by the researchers.
Channel Modeling for Internet Services in High-Rise Urban Areas Dr.S. Raja, Dr.D. Ravindran, Dr. Montader M. Hasan, Dr. Shailaja Mantha, Dr.T. Saravanan, V. Indumathi Journal of Internet Services and Information Security, 2025 As society becomes increasingly dependent on high-speed online services, the demand for robust and reliable wireless connections in densely populated urban areas, such as tower blocks, has become urgent. In these environments, buildings, elevations, blocked sight lines, and scattered reflections scramble radio waves in ways that simple free-space equations cannot foresee. Channel models provide engineers with a virtual test bed to estimate behavior, guiding them toward cost effective antenna and cable placements. This work presents a hybrid framework that combines field measurements with physics-based simulations to address the unique challenges presented by high rise skylines. Core inputs include site-specific data on wall losses, window reflexivity, and vertical diffusion between floors, all distilled into a single parametric engine. A modular architecture is added, allowing users to refine settings on the fly as new observations arrive. When compared to live network probes, the approach reduces path-loss errors by up to thirty percent and enhances coverage maps significantly beyond standard defaults. Because it is platform-agnostic, the model can support 5G, Wi-Fi, and narrowband IoT alike, streamlining rollouts for service providers. These results show a promising bridge between academic theory and the on-the-ground realities of multi story city living. The results provide valuable insights that can inform future work on city-level messaging networks and smart building design.
A Starfish-Tuned Causal Dilated Convolutional Neural Network for Human-Centered Innovation and Organizational Behavior Analysis V. Selvalakshmi, B. UmaDevi, S. Raja, R.Divya Ranjani Proceedings IEEE 10th International Conference on Smart Structures and Systems Icsss 2025, 2025 Human innovation and organization behavior is critical in the optimization of the neonatal care and decisionmaking systems. Their integration is however limited because of behavioral dependencies that are complex, data inconsistency and poor causal interpretability. To address such challenges, the article introduces a new structure of categorizing Human-centered innovation and organizational behavior analysis based on a Causal Dilated Convolutional Neural Network with Starfish Optimization Algorithm (CaDiCNNet-SfOA). The first step involves Better Decisions of Sepsis in Babies (BD4SB) dataset that consists of neonatal health records and behavioral indicators used in the innovation analysis process. Next, the Deformable Kernel Network (DKN) is used to preprocess data to clean, align, and improve the data quality. The Fast Hybrid Vision Transformer (FHyVT) is then used to extract deep spatial, contextual, and innovation-related features which are effective in capturing the dynamics of behavior. These characteristics are further examined through Causal Dilated Convolutional Neural Network (CaDiCNNet) to predict temporal and causal associations between human factors through innovations and the outcomes of neonatal status. Lastly, the Starfish Optimization Algorithm (SfOA) is used to optimize model parameters to enhance the rate of convergence and accuracy. Experimental results demonstrate superior performance with 99.7% accuracy, 99.4% recall, 99.5% precision, 99.3% specificity, and 99.6% F1-score, indicating that the proposed method effectively bridges human-centered innovation analysis with organizational behavioral modeling, offering valuable insights into neonatal healthcare improvement and decision-support systems.
Impact of Emotional Intelligence on the Relationship Between Job Involvement and Organizational Performance Annamalai Solayappan, M. S. R. Mariyappan, S. Raja, S. Sankar Strategic Leadership and Management, 2025 The study explores the intricate interplay between emotional intelligence (EI), job involvement, and organizational performance. The research aims to investigate the impact of EI as a moderating variable in the relationship between job involvement and organizational performance. The establishment of a complete literature study serves as the fundamental basis, emphasizing the importance of EI within the workplace, the function of job participation in fostering employee engagement, and the impact that these factors have on organizational results. This research utilizes a mixed-methods methodology, integrating surveys, interviews, and performance indicators from a heterogeneous sample of workers across several sectors. Statistical techniques are used to analyze quantitative data in order to evaluate the magnitude and characteristics of the associations among EI, work participation, and organizational success. Elevated levels of EI have the potential to enhance the favorable outcomes associated with work participation, hence resulting in increased levels of employee happiness, productivity, and overall organizational achievement. The implications of this research extend to human resource management, leadership development, and organizational strategy. Organizations may benefit from incorporating EI training into their employee development programs to foster a workplace culture that nurtures both job involvement and overall performance. Additionally, this study provides a foundation for future research exploring the specific mechanisms through which EI influences the dynamics of job involvement and organizational performance. In conclusion, this research contributes to the growing body of knowledge on the intersection of EI, job involvement, and organizational performance. Understanding and leveraging these relationships can empower organizations to cultivate a workforce that is not only deeply engaged in their roles but also capable of contributing significantly to the achievement of organizational goals.
Comparative Study of MOOCs in Smart Education D. Ravindran, Stephen Deepak, S. Raja, C. Dhanapal, R. Madhusudhanan, J. Chandrakhanthan Studies in Systems Decision and Control, 2025
Supervised Learning Algorithm-Based Quality Control for Quality Control in Industry 4.0 Lumina Julie. R, S. Raja, Rajapriya Maruthupandian, Kumar. N, S. Nithya, Annamalai Solayappan Proceedings of 9th International Conference on Science Technology Engineering and Mathematics the Role of Emerging Technologies in Digital Transformation Iconstem 2024, 2024
Enhancing Care Experiences by Integrating AI-Powered Relationship Management Technology K.R.Sowmya, Krithika.J, S.Raja, Saranya.G, S.Prishaa, Rupashree IEEE Innovations in Machine, Engineering and Digital (IMED) Conference 2026 … , 2026 2026
MARKET RESEARCH ANALYSIS OF RETAIL FASHION COSTUMES & APPAREL USING LLM—A QUALITATIVE STUDY B UmaDevi, M Ashok, S Raja, E Poornima Acta Innovations, 192-216 , 2026 2026
Enhancing Care Experiences by Integrating AI-Powered Relationship Management Technology KR Sowmya, S Raja, S Prishaa 2026 Innovations in Machine, Engineering, and Digital Conference (IMED), 1-7 , 2026 2026
Enhancing Care Experiences by Integrating AI-Powered Relationship Management Technology S RAJA 2026
Integrating Cultural Insights and Legal Standards for Effective E-Recruitment in Tamil Nadu’s IT Industry A Jayachandran, S Dhamodaran, R Sambandam International Journal of Human-Computer Interaction , 2026 2026
Future Ready Employees: Building Employability through Continuous Skill Development SPJDS Raja Future Ready Employees: Building Employability through Continuous Skill … , 2026 2026
Exploring the Potential of AI in Personal Financial Planning and Advisory Services MGA Kanagaraj, S Vasantha, S Raja Proceedings of the First International Conference on Recent Trends in … , 2026 2026
A Starfish-Tuned Causal Dilated Convolutional Neural Network for Human-Centered Innovation and Organizational Behavior Analysis V Selvalakshmi, B UmaDevi, S Raja, RD Ranjani 2025 10th International Conference on Smart Structures and Systems (ICSSS), 1-7 , 2025 2025
Impact of Emotional Intelligence on the Relationship Between Job Involvement and Organizational Performance A Solayappan, MSR Mariyappan, S Raja, S Sankar Strategic Leadership and Management, 155-166 , 2025 2025
The Impact of AI and Machine Learning on Decision-Making Processes: Enhancing Organizational Agility and Competitive Advantage D Ravindran, A Rana, J Giri, MO Sabri, S Raja, K Janakipriya, ... Artificial Intelligence in the Digital Era: Economic, Legislative and Media … , 2025 2025
Optimizing Decision-Making for Robotics Implementation in Healthcare Using the TOPSIS Method D Ravindran, G Ramanathan, M Dhanamalar, S Raja, M Gopalakrishnan, ... Data-Driven Decision Making for Sustainable Business Growth, 935-944 , 2025 2025
Transfer Learning-Driven Inflation Prediction System for Regional Economic Planning S RAJA 2025 International Conference on Recent Innovation in Science Engineering … , 2025 2025
Artificial neural network-powered logistics optimization for streamlining MBA program supply chains for global efficiency K Soujanya, S Raja, DV Rishitha, V Rishitha, NS Srinivas, GT Yadav AIP Conference Proceedings 3257 (1), 020150 , 2025 2025
Cloud-Based Wireless Network Management System Using COPRAS Method D Ravindran, S Raja, A Murugannatham 2025 International Conference on Multi-Agent Systems for Collaborative … , 2025 2025
Channel Modeling for Internet Services in High-Rise Urban Areas S Raja, D Ravindran, MM Hasan, S Mantha, T Saravanan, V Indumathi Journal of Internet Services and Information Security (JISIS) DOI: 10.58346 … , 2025 2025
Analysing the relationship between delivery speed and customer satisfaction in the transportation sector M Swetha, S Raja Emperor International Journal of Finance and Management Research , 2025 2025
Deep Learning for Stock Market Prediction S RAJA International Conference on Frontier Technologies and Solutions (ICFTS) DOI … , 2025 2025
Artificial neural network-powered logistics optimization for streamlining MBA program supply chains for global efficiency S RAJA CONFERENCE ON COGNITIVE COMPUTING AND ARTIFICIAL INTELLIGENCE (ICCCAI - 2024 … , 2025 2025
Comparative Study of MOOCs in Smart Education R S.RAJA Studies in Systems, Decision and Control 555, 613-622 , 2025 2025
Assessing Economic Performance on Significance Study, Trends of GDP Growth in Asian Developing Nations SR Vinoth.B, Ravindran, Sudha Studies in Systems, Decision and Control 555, 179-192 , 2025 2025
MOST CITED SCHOLAR PUBLICATIONS
Autonomous transaction model for e-commerce management using blockchain technology S Sekar, A Solayappan, J Srimathi, S Raja, S Durga, P Manoharan, ... International Journal of Information Technology and Web Engineering (IJITWE … , 2022 2022 Citations: 104
Influence of organizational climate on employee performance in Manufacturing Industry S Raja, C Madhavi, S Sankar Suraj Punj Journal For Multidisciplinary Research 9 (3), 146-157 , 2019 2019 Citations: 53
Impact of Artificial Intelligence in Students’ Learning Life D S.RAJA AI in Business: Opportunities and Limitations 2, 3-17 , 2024 2024 Citations: 38
A Conceptual Study Of Work Life Balance And Stress Management Among Women Employees Of IT Companies In Chennai Dr.S.RAJA, Dr.Ganesan @ Kanagaraj International Journal of Management (IJM) 11 (2), 23 , 2020 2020 Citations: 16
The Future Impact of Technological Developments on Digital Marketing Through Artificial Intelligence K Guru, S Raja, J Sasiganth, DK Sharma, M Tiwari, T Tiwari Proceedings of Second International Conference in Mechanical and Energy … , 2022 2022 Citations: 14
Nepotism and family owned business N. Sugundan, S.Raja, Gomathi Sankar Available at SSRN 4204568 , 2018 2018 Citations: 11
Exploring the Transformative Effects of AI on Entrepreneurship in Business Performance - DOI: 10.4018/979-8-3693-2276-5.ch008 D S.RAJA Balancing Automation and Human Interaction in Modern Marketing 1, 127 , 2024 2024 Citations: 10
Modern approaches in HR analytics towards predictive decision-making for competitive advantage K Guru, S Raja, A Umadevi, M Ashok, K Ramasamy Artificial Intelligence, Machine Learning, and Data Science Technologies … , 2021 2021 Citations: 8
Effect Of Organization Climate On Innovative Work Behaviour SRDC Madhavi Research Gate 7 (3), 3646-3653 , 2018 2018 Citations: 8
A Study on Impact of Social Media on Student Education System. K Guru, S Raja International Journal of Early Childhood Special Education 14 (3) , 2022 2022 Citations: 6
A Study on Employee Job Satisfaction with Special Reference to Krishnagiri District Co-operatives Spinning Mills Ltd S.Raja, V.Vijay Anand International Research Journal of Business and Management-IRJBM 2, 73-79 , 2013 2013 Citations: 6
JOB SATISFACTION OF EMPLOYEES IN BAHWAN CYBER TEK(INDIA) MKBP Dr.S.Raja1, Dr. S. Usha2, Dr. L.Anitha3 Journal of Data Acquisition and Processing 38 (1), 3085 , 2023 2023 Citations: 5
A Study on the Impact of Artificial Intelligence on Online Customer Satisfaction S S Arun Logesh, Raja Emperor Journal of Finance 3 (5) , 2023 2023 Citations: 4
Comparative study of MOOCs in smart education D Ravindran, S Deepak, S Raja, C Dhanapal, R Madhusudhanan, ... Harnessing AI, Machine Learning, and IoT for Intelligent Business: Volume 1 … , 2024 2024 Citations: 3
ARTIFICIAL INTELLIGENCE IN INVESTMENT MANAGEMENT, ASSET MANAGEMENT AND WAREHOUSE MANAGEMENT SR Dr. Karthika. R, Mr. Anburaj. A, Dr i-manager’s Journal on Data Science & Big Data Analytics 1 (1), 40 , 2023 2023 Citations: 3
Impact of Corporate Social Responsibility on the Organisational Performance – A Study With Reference to Select Companies in Chennai City – Reviews and Conceptual Framework KG Dr. S. RAJA, Dr. M. GANESAN @ KANAGARAJ PSYCHOLOGY AND EDUCATION An Interdisciplinary Journal 58 (02), 277 , 2021 2021 Citations: 3
Application of Data Science and Research Trends in Marketing through Big Data KG S.RAJA THINK INDIA JOURNAL 22 (14), 118 , 2019 2019 Citations: 3
Machine Learning in HR Analytics: A Comparative Study on the Predictive Accuracy of Attrition Models D S.RAJA Proceedings - 2nd IEEE International Conference on Device Intelligence … , 2024 2024 Citations: 2
Customer And Product Profitability Analytics DS RAJA Management Analytics & Software Engineering, 189-194 , 2022 2022 Citations: 2
Emerging Trends in ICT and its influence on digital competency of teachers in higher education MAU Dr.K.Guru, Dr.S.Raja International Journal of Early Childhood Special Education (INT-JECS) 14 (1 … , 2022 2022 Citations: 2
