INTERNATIONAL JOURNALS OF MULTIDISCIPLINARY RESEARCH ACADEMY

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International Journal of Management, IT & Engineering (IJME)
ISSN: 2249-0558

Volume 16, Issue 5 (May 2026)

PARTICULAR	Page No.
A Study on the Impact of GST 2.0 Reforms on Price Perception and Shopping Channel Preference of Households in India Dr. Madegowda M Abstract: The Goods and Services Tax (GST) has been one of the most significant indirect tax reforms in India, with wide ranging implications for consumer prices, spending patterns, and retail behaviour. Download full Lenght Paper......	1-10
Users’ Awareness and Preference towards Perplexity App Dr. P.Jayanthi * S.Subiksha Abstract: The research paper aims to investigate the awareness and preference towards perplexity app. Data for the study have been collected from 200 users residing in Pollachi Taluk through issue of well-structured questionnaire by adopting convenience sampling method. Download full Lenght Paper......	11-16
DETERMINANTS OF CUSTOMER PERCEPTION TOWARDS DIGITAL HOME SERVICES: A STUDY ON URBAN COMPANY * Dr. S.Poongodi S.Sabariragavan Abstract:** Urban Company formerly known as UrbanClap has been widely studied in the context of service quality, customer satisfaction, and platform-based business models in India. Download full Lenght Paper......	17-22
Digital Pathways to Employment: An Analysis of Student Satisfaction with Online Job Portals Dr. P. Anitha , Ms. V. Harini Abstract: The rapid advancement of digital technology has brought about a major shift in how students search for jobs. Download full Lenght Paper......	23-26
CUSTOMERS’ EXPERIENCE TOWARDS CASH VERSUS CASHLESS TRANSACTIONS IN RETAIL OUTLETS OF POLLACHI TALUK Dr Rajagopalan S, Ms A Bhoomathi, Abstract: The retail landscape in Pollachi Taluk is witnessing a significant transformation as traditional cash-based transactions intersect with rapidly evolving digital payment systems Download full Lenght Paper......	27-35
An Analytics-Integrated Multi-Vendor Rental Management System for Audio Visual Equipment Mark Stephen Alolor, Joenel P. Destora, Carlo Jhon Fulmenar, Dino L. Ilustrisimo, PhD., Reil Dave Bawiin, John Nino Espliguera, James Napalya, John David Parader, Mharjorie Ribo, Kurt Bryan S. Alegre, MIT(c) Abstract: The rapid advancement of digital technology has brought about a major shift in how students search for jobs. Download full Lenght Paper......	36-43
Integrating Generative AI into Educational ERPs: An AI-Powered Framework for Student Risk Analysis Arpit Kakran, Lalit Pathak, Sangharsh Kumar, Ambrish Mishra, Prof. Nawneet Pandey Abstract: The global higher education sector is currently navigating a student retention crisis that costs institutions approximately $10.72 billion annually. While Enterprise Resource Planning (ERP) systems serve as the administrative backbone of these institutions, they often function as static "systems of record" rather than proactive "systems of insight." Download full Lenght Paper......	44-54
Role of Flexi-Cap Mutual Funds in Post-Retirement Income Planning Aneet Kumar Srivastava Abstract: Retirement planning is an essential financial need today, especially for those working in the private sector who lack the security of a government pension. This research paper provides an in-depth analysis of the role of flexicap mutual funds and how they can provide a reliable and consistent source of income after retirement. Download full Lenght Paper......	55-61
Real-Time Object Detection and Semantic Segmentation Architecture, Training Pipelines, and the Roboflow-YOLOv8 Workflow Sharad Kumar Trivedi Abstract: Modern visual perception systems are increasingly characterized by two dominant paradigms: real-time object detection models operating over fixed class taxonomies and prompt-conditioned foundation models enabling zero-shot, pixel-level segmentation. Download full Lenght Paper......	62-69
Leveraging Artificial Intelligence for Predictive Workforce Analysis within the Oracle Cloud HCM Ecosystem Mahesh Ganji Abstract: The study investigates the possibility of incorporating machine-driven predictive analytics into Oracle Cloud HCM for the purpose of optimizing the management of the workforce. The study predicts performance and employee attrition using machine learning models, including Logistic Regression, Decision Trees, Random Forests, and Support Vector Machines. Findings indicate that the highest accuracy in predictions is found in Random Forests. Also discussed are ethical factors such as data privacy and algorithm fairness. The findings highlight the possibility of using AI to improve HR decisions. Download full Lenght Paper......	70-77
Real-Time Object Detection and Semantic Segmentation Architecture, Training Pipelines, and the Roboflow-YOLOv8 Workflow Sharad Kumar Trivedi Abstract: Modern visual perception systems are increasingly characterized by two dominant paradigms: real-time object detection models operating over fixed class taxonomies and promptconditioned foundation models enabling zero-shot, pixel-level segmentation. This paper presents a unified technical analysis of representative architectures from each paradigm - You Only Look Once (YOLOv8) and the Segment Anything Model (SAM / SAM 2). We examine their underlying design principles, including architectural composition, loss formulations, and inference strategies, highlighting key differences in efficiency, generalization, and deployment characteristics. Download full Lenght Paper......	78-84
Accurate Time Series Forecasting of the Saudi Arabian Stock Market Using Hybrid Deep Learning Models Zamzam Abdulaziz Almushayti, Ali Mustafa Qamar Khan Abstract:* Forecasting financial markets is one of the hardest problems in applied economics, and the difficulty only multiplies in volatile emerging markets. This paper takes on that challenge by forecasting the Saudi Arabian stock market index (TASI) using ten years of daily data (2014– 2024), combining traditional econometric methods with state-of-the-art deep learning techniques. Download full Lenght Paper......	85-98