2026-04-26T14:20:33Z https://ijemri.com/index.php/files/oai

oai:ojs.ijemri.com:article/1 2025-10-24T08:45:48Z files:ART

Integrating Ai-Driven Forecasting With Agricultural Practices To Combat Food Insecurity In Climate-Vulnerable Regions Dr. Baye yemataw adane Food insecurity, the use of artificial intelligence, climate change, forecasting for farming and precision farming are topics here. Since people in climate-change risk areas experience food shortages often, experts are now using technology to strengthen crop production. This investigation investigates how farmers can use AI forestry tools to deal with weather conditions, lower their expenses and understand the yields from their crops. The study uses environmental science, machine learning and agronomy together to explore if AI can solve problems related to hunger and environmental agriculture. They also looked into merging climate data, forecasting what to grow, designing easing warning systems and executing precision farming. For our study, we use existing data, try out models to simulate different situations and question individuals working in farming areas mostly hit by droughts and floods. According to the reports, AI helps decrease problems caused by climate change in agriculture because it can give farmers guidance immediately. Yet, there are still problems with infrastructure, not knowing enough about digital technology and concerns over bias in AI. Finally, the paper recommends ways to make AI valuable for farmers, support their development and foster teamwork among different parts of the agricultural community. Radhakrishnan 2025-06-14 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/1 10.65180/ijemri.2025.1.1.01 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 1, April-June 2025; 1-6 3107-7013 eng https://ijemri.com/index.php/files/article/view/1/1

oai:ojs.ijemri.com:article/2 2025-10-24T08:44:38Z files:ART

The Psychological Impact of Remote Work Environments: A Study Combining Behavioral Science and Ergonomic Design Mrs. V. Sasikala Working from home, The science of behavior, Design for safe and comfortable workplaces, Mental health and Work-life balance The pandemic-driven move to work remotely has now altered how people handle their offices and mental health at the same time. We explore how behavioral science and ergonomics come together to examine the psychological effects of people working from home over a long period. By using ideas from different fields, the study considers how ergonomics, being isolated from others, blurred work-life balance and digital means of communication impact both psychological health and productivity. Studies have been done through surveys with remote staff, auditing home work areas and doing targeted interviews. There seems to be a strong link between suboptimal ergonomic conditions and both mental tension, stress out and physical injuries in the workplace. In addition, working from home without meeting people in person and mixing tasks from home and work made people feel detached from others and increasingly discontent at their jobs. Even with these issues, quite a few participants found increased independence and choice at work which means that remote work is not always bad but calls for careful design and support. Finally, the study suggests a plan for better remote work, supporting changes in behavior, workspace setting and work rules by the organization. Radhakrishnan 2025-06-14 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/2 10.65180/ijemri.2025.1.1.02 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 1, April-June 2025; 7-13 3107-7013 eng https://ijemri.com/index.php/files/article/view/2/2

oai:ojs.ijemri.com:article/3 2025-10-24T08:43:26Z files:ART

Green Hospitals: A Multidisciplinary Framework for Sustainable Healthcare Infrastructure Dr. Tanigaiselvane D.j Green hospitals, Sustainable design, Healthcare infrastructure, Environmental health, Energy efficiency As hospitals increase their effect on the environment, it is crucial to quickly begin using sustainable design and ways of operating. A comprehensive approach for building green hospitals, involving architecture, environmental science, public health and healthcare management is described in this paper. It investigates whether new environmental changes will affect positive patient outcomes or the work efficiency of the hospital. First, the study goes over LEED and GGHC international benchmarks to learn about the most important aspects that make a healthcare facility sustainable. Using this approach, energy use, waste disposal, water management and air quality within hospitals were studied using data from five case studies in several continents. We collected the quantitative data from hospital reports and sustainability audits, but the qualitative data came from interviews with architects, hospital administrators and environmental consultants. According to the findings, green buildings that use energy-saving HVAC systems, rely on natural light, have green roofs and separate waste reduce both the carbon impact and the expertise of running those buildings. Additionally, patients recover more quickly when the design includes biophilic and air-enhancing features. High front investments, missed incentives in regulations and not enough time spent on green protocol education remain problems to solve. The suggested framework merges environmental performance measures, team cooperation from various areas and policy agreement to give direction to hospital leaders and health policymakers. It is concluded from this study that green hospitals are both doable and crucial to linking public health with climate action. Radhakrishnan 2025-06-14 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/3 10.65180/ijemri.2025.1.1.03 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 1, April-June 2025; 14-20 3107-7013 eng https://ijemri.com/index.php/files/article/view/3/3

oai:ojs.ijemri.com:article/4 2025-10-24T08:42:18Z files:ART

Ethical Governance of AI in Public Policy: Bridging Law, Philosophy, and Data Science Mr. S. Ranganathan Ethical governance, Artificial intelligence (AI), Public policy, AI ethics, Legal frameworks for AI, Philosophy of technology, Data science ethics, AI regulation, Algorithmic accountability As AI moves rapidly into public policy, addressing the ethical and legal questions related to AI is now a bigger challenge. This paper highlights the main requirement of ethical AI by using law, philosophy and data science. It helps public bodies make decisions that are fair, accountable, clear and human rights friendly. The analysis covers main international policy frameworks as well as European Union, UNESCO, US, Indian and Canadian national strategies. During this research, multiple case studies were carried out while exploring concepts from both deontology and utilitarianism in philosophical ethics. It is claimed in the study that algorithms, prejudiced information, inefficient communication to the public and absent regulations lead to serious governance issues. This work suggests a model where ethics in design, strong regulations and the involvement of the public guide data governance. This means that you must combine different areas, support each other and truly examine the audit trail to understand everything. According to the study, to include ethics in AI for public policy, all parties, including technology, principles and institutions, should join forces to safekeep the public. Radhakrishnan 2025-06-14 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/4 10.65180/ijemri.2025.1.1.04 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 1, April-June 2025; 21-26 3107-7013 eng https://ijemri.com/index.php/files/article/view/4/4

oai:ojs.ijemri.com:article/5 2025-10-24T08:40:54Z files:ART

Wearable Tech and Chronic Disease Management: An Interdisciplinary Study of Bioengineering, Data Analytics, and Patient Psychology Dr. Jagadish loganathan Mr. S. Ranganathan Wearable technology, Chronic disease management, Bioengineering, Data analytics, Patient psychology The transformation of chronic disease management owes much to how wearable technology lets users watch over their health all day, provide timely assistance and receive personalized attention. The combined approach investigates how bioengineering, data analytics and understanding the psychology of patients are essential to effectively using wearables to manage diabetes, cardiovascular disease and many other illnesses. Bioengineering research has made it possible to create sensors that track important state measures comfortably and accurately. Data analytics, using machine learning, helps make sense of a lot of health data to identify when someone’s symptoms or risks may change, so healthcare can take action ahead of time. At the same time, understanding patient psychology helps drive adherence, strong involvement and appropriate behavior changes which determines the success of adopting these devices. Analysis of data from 150 patients together with interviews of patients, clinicians and bioengineers found that using wearables led to better symptom management, more compliance with medications and fewer visits to the hospital. Even so, data privacy, how easy it is to use technology and mental barriers are areas that deserve attention. The authors suggest a model that links engineering, data science and psychological approaches to better control chronic diseases through wearable technology. The findings support working together to create healthcare technology that is useful for both people and the technical side. Radhakrishnan 2025-06-14 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/5 10.65180/ijemri.2025.1.1.05 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 1, April-June 2025; 27-32 3107-7013 eng https://ijemri.com/index.php/files/article/view/5/5

oai:ojs.ijemri.com:article/6 2025-10-24T08:39:43Z files:ART

Urban Green Spaces as Tools for Mental Health Recovery: A Convergence of Landscape Architecture, Environmental Psychology, and Public Policy Dr. Tanigaiselvane D.J Urban green spaces, Mental health recovery, Landscape architecture, Environmental psychology, Public policy More people are now realizing that parks, gardens and green corridors play an important role in keeping our mental health in check in crowded cities. The paper examines how urban green spaces are used by connecting landscape architecture, psychology and public policy to help city dwellers feel better. Informed by research and studies, the work explains how design, psychology and governance work together to enhance the benefits green spaces provide. It uses both numbers and expressions to draw conclusions from mental health information from urban citizens and from interviews with landscape architects, psychologists and policymakers. We found that good green spaces are related to lower stress, anxiety and depression, while promoting community unity and getting people moving. The presence of biodiversity, access to the site and play activities that involve several senses increase the positive impact on kids’ mental health. Social policies directed to fair allocation, ongoing upkeep and community participation make these problems less important. People are challenged by the pressure to rbanize, not enough money for health and cultural obstacles. The study describes how using design, knowledge of psychology and related policy tools together promotes recovery of mental ealth in urban green spaces. This research provides a deeper knowledge needed for the creation of healthier and tougher cities. Radhakrishnan 2025-06-14 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/6 10.65180/ijemri.2025.1.1.06 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 1, April-June 2025; 33-39 3107-7013 eng https://ijemri.com/index.php/files/article/view/6/6

oai:ojs.ijemri.com:article/7 2025-10-24T08:38:37Z files:ART

Blockchain for Transparent Educational Credentials: A Cross-Disciplinary Approach to Trust in Higher Education Mrs. Shobitha J Blockchain, Educational credentials, Transparency, Higher education, Credential verification Checking and confirming educational qualifications has traditionally been full of problems like inefficiency, deception and no visibility which makes academic institutions, employers and learners less trusting. In this paper, we discuss how blockchain can be used to solve issues related to the transparency, safety and trustworthiness of administration of educational credentials. Using ideas from computer science, education policy and information systems, the study examines how blockchain’s technology can create accurate, verifiable and shared records of a person’s academic achievement. A combination of studying clear examples of blockchain-based credentialing and talking to university administrators, students and employers made it possible for the study to highlight the benefits of lower administrative fees, faster validation of credentials and increased learner control of their own personal information. It considers problems concerning how to increase use, maintain uniformity, win legal status and increase digital skills. This document proposes a united approach that brings together infrastructure, policy updating and education management to encourage more people to switch to clean energy. The research shows that blockchain could transform how credentials are managed, make higher education more trustworthy and help academic systems become fairer and better organized. Radhakrishnan 2025-06-14 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/7 10.65180/ijemri.2025.1.1.07 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 1, April-June 2025; 40-47 3107-7013 eng https://ijemri.com/index.php/files/article/view/7/7

oai:ojs.ijemri.com:article/8 2025-10-24T08:36:54Z files:ART

Exploring the Biological Foundations of Life: From Cellular Processes to Organismal Complexity Dr. Jagadish Loganathan Biological Foundations, Cellular Processes, Organismal Complexity, Metabolism, Systems Biology Life remains possible only through many natural processes, both tiny and large. The work looks at cell functions such as processing food, expressing genes and responding to communications which are important for any life. It explores how each of these functions and changes come together in multicellular organisms. The study examines some current methods used to look at biological systems closely at many levels. The analysis demonstrates that how cells function and the organization of biological systems have major impacts on homeostasis, development and how organisms adapt. Participants discussed the hardships of studying life and what recent work in systems biology and synthetic biology can help achieve. Radhakrishnan 2025-06-14 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/8 10.65180/ijemri.2025.1.1.08 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 1, April-June 2025; 48-54 3107-7013 eng https://ijemri.com/index.php/files/article/view/8/8

oai:ojs.ijemri.com:article/9 2025-10-24T08:31:32Z files:ART

Cybersecurity and Human Behavior: A Socio-Technical Approach to Digital Safety Mr. S. Ranganathan Dr. V. Umadevi Cybersecurity, Human behavior, Socio-technical systems, Digital safety, Risk perception Digital security specialists are now only considering cyberattacks; they also consider how people behave. This research approach looks at how technical systems and human factors depend on one another to influence cybersecurity. It studies how staff handle passwords, respond to phishing attempts and deal with security policies, while also looking at technology and functional policies. In addition to gathering numbers from surveys, the study includes interviews with cybersecurity experts and individuals who use systems. The results demonstrate that technical controls do not fully stop human error and unsafe behaviors that allow cyber attacks. The things people think about risk, trust belief and pressure of too much thinking have a major impact on security practices. This research proposes a combined strategy that links using technology with human-focused steps, like teaching users, improving website design and changing the company’s culture. It points out that an effective way to strengthen cybersecurity is by including both technology systems and people in the protection strategy. Radhakrishnan 2025-06-14 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/9 10.65180/ijemri.2025.1.1.09 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 1, April-June 2025; 55-60 3107-7013 eng https://ijemri.com/index.php/files/article/view/9/10

oai:ojs.ijemri.com:article/10 2025-10-24T08:30:35Z files:ART

Cultural Algorithms for Conflict Resolution: Fusing Anthropology, Artificial Intelligence, and Peace Studies Mr. Solomon Woldekidan Dr. Baye Yemataw Adane Cultural algorithms, issues related to conflict, anthropology, artificial intelligence and peace studies. It is very hard to guide people in different cultures, especially as standard methods of negotiation do not match the challenges of various cultures. The study investigates how cultural algorithms, built with ideas from cultural theory and both anthropology and peace studies, can be used to tackle various conflicts. AI systems are able to recognize and honor the cultural beliefs and customs members of the mediation encounter. They do computer simulations and examine situations where people use anthropology for the purpose of building peace. Experimenters have found that including cultural awareness in algorithms helps us either recognize the early signs of conflict or design ways to make people discuss and fix their disagreements. It is emphasized that AI can aid people-based peace processes only if ethics, a grasp of how models operate and coherent teamwork are included. In this work, anthropology, AI and peace studies are brought together to develop conflict resolution tools appropriate for international diplomacy, mediation in local communities and work after conflicts end. Radhakrishnan 2025-06-14 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/10 10.65180/ijemri.2025.1.1.10 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 1, April-June 2025; 61-66 3107-7013 eng https://ijemri.com/index.php/files/article/view/10/11

oai:ojs.pkp.sfu.ca:article/11 2025-11-06T10:48:37Z files:ART

oai:ojs.ijemri.com:article/12 2026-01-21T06:39:23Z files:ART

Circular Economy 4.0: AI and IoT Integration for Zero-Waste Industrial Ecosystems ranganathan S Dr. V. Umadevi Circular Economy, Artificial Intelligence, Internet of Things, Zero-Waste Manufacturing, Industry 4.0. The intersection of Artificial Intelligence (AI), the Internet of Things (IoT), and sustainable production has preconditioned the emergence of Circular Economy 4.0 (CE 4.0) a new model that helps to realize zero-waste production and resources regeneration. The paper introduces a combined system of AI-IoT to manage the optimization of industrial flows of resources, waste management, and monitoring the environment. The framework uses machine learning algorithms to do predictive waste analytics, IoT sensors used in real-time monitoring, and closed-loop production management using digital twins. The industrial case studies have been experimentally validated and show a 35 percent decrease in waste of materials, 28 percent enhancement in energy efficiency, and 20 percent lifecyscle productivity enhancement. The study underscores the role of CE 4.0 in provision of sustainable, data-driven, and economically sustainable ecosystems which resonate with both the United Nations Sustainable Development Goals (SDGs) and Industry 5.0 ethics. Radhakrishnan 2025-11-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/12 10.65180/ijemri.2025.1.2.01 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 2, JULY-SEPTEMBER 2025; 1-6 3107-7013 eng https://ijemri.com/index.php/files/article/view/12/13 Copyright (c) 2025 International Journal of Emerging Multidisciplinary Research and Innovation  https://creativecommons.org/licenses/by/4.0/

oai:ojs.ijemri.com:article/13 2026-01-21T06:40:04Z files:ART

Sustainable FinTech: Machine Learning Approaches for Green Investment Portfolios Shobitha J Dr.Nagaprakash T sustainable finance, FinTech, machine learning, ESG investing, green portfolio optimization. The blistering emergence of the Financial Technology (FinTech) provided the opportunity to alter the traditional priorities of investments to use the information-based decisions made in accordance with the advanced machine learning (ML) algorithms. On the same note, the world financial industry is under pressure, and it is underwriting pressure to be sustainable and environmentally friendly in their investments. This article presents a framework of sustainable finance using machine learning, which is related to the development of green portfolios, the assessment of carbon risks, and the ethics-driven optimization of finance. It is suggested that the supervised learning to classify assets, the reinforcement learning to optimally rebalance the portfolio, and the explainable artificial intelligence (XAI) to make decisions clear can be incorporated into one model. The empirical research of ESG (Environmental, Social, and Governance) data of MSCI and Refinitiv data use reveals that there is an increment in ratings of portfolio sustainability by 15 percent, and a growth in risk-adjusted returns by 11 percent over a base model. This is because the findings can be used to establish the extent to which ML-enabled FinTech applications can serve to support the realization of sustainable investment goals throughout the world and align financial growth with the green strategy. Radhakrishnan 2025-11-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/13 10.65180/ijemri.2025.1.2.02 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 2, JULY-SEPTEMBER 2025; 7-11 3107-7013 eng https://ijemri.com/index.php/files/article/view/13/14 Copyright (c) 2025 International Journal of Emerging Multidisciplinary Research and Innovation  https://creativecommons.org/licenses/by/4.0/

oai:ojs.ijemri.com:article/14 2026-01-21T06:40:28Z files:ART

Human-Centric Digital Twins: Ethical and Transparent Applications for Industry 5.0 Tadesse Bashahder Woldesemayat Digital Twin, Industry 5.0, Ethics, Transparency, Human-Machine Collaboration. Industry 5.0 aims at transforming the manufacturing that is pushed by automation to the notion of human-machines collaboration with emphasis on personalization, resilience, and sustainability. The article is an anthropocentric method of digital twins (DTs) and is concerned with ethics, transparency, and cognitive interoperability of industrial eco systems. The proposed architecture will be based on AI-based predictive modelling, blockchain-based data traceability with humanin-the-loop design to ensure explainable and trusted interactions between twins. The test simulations reveal that ethical digital twin systems result in the increase of operational transparency 47 more and employee satisfaction 35 more than in a conventional Industry 4.0 model. The study provides an ethical roadmap of the application of Industry 5.0 that will close the gap that exists between the human intuitions and machine intelligence. Radhakrishnan 2025-11-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/14 10.65180/ijemri.2025.1.2.03 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 2, JULY-SEPTEMBER 2025; 12-17 3107-7013 eng https://ijemri.com/index.php/files/article/view/14/15 Copyright (c) 2025 International Journal of Emerging Multidisciplinary Research and Innovation  https://creativecommons.org/licenses/by/4.0/

oai:ojs.ijemri.com:article/15 2026-01-21T06:40:45Z files:ART

Bio-Inspired Edge Computing for Real-Time Energy Optimization in Smart Grids S.Karthi Dr J. Kannadhasan Digital Twin, Industry 5.0, Ethics, Transparency, Human-Machine Collaboration. The number of energy requirements of the population and integration of the renewable sources have made modern power systems grow exponentially in terms of complexity. The traditional cloud-based solutions do not have the capability of processing large real-time data across the distributed nodes of the grid because of latency, scalability. The paper introduces a bio-inspired edge computing architecture that recreates self-organizing and adaptive nature of biology in optimization of energy in real time in the smart grids. Swarm intelligence, i.e. Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) is suggested to be employed in the system to dynamically optimize the loads and assign the energy to the edge nodes. It is 22 percent more energy efficient with 30 percent lower response latency according to the simulation results as compared to traditional cloud-based models. The framework demonstrates the fact that the next-generation smart grids can be driven by biologically inspired intelligence that is integrated into edge infrastructures. It is necessary to mention that such keywords as bio-inspired computing, Edge computing, Smart grids, Swarm intelligence, and Energy optimization are also available. Radhakrishnan 2025-11-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/15 10.65180/ijemri.2025.1.2.04 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 2, JULY-SEPTEMBER 2025; 18-23 3107-7013 eng https://ijemri.com/index.php/files/article/view/15/16 Copyright (c) 2025 International Journal of Emerging Multidisciplinary Research and Innovation  https://creativecommons.org/licenses/by/4.0/

oai:ojs.ijemri.com:article/16 2026-01-21T06:41:07Z files:ART

Blockchain-Enabled Trust Mechanisms in Decentralized Academic Publishing Ecosystems Dr.Tripura Sundari. C.U Dr S. Radhakrishnan Academic Publishing, Trust Mechanisms, Decentralized Ecosystems, Blockchain The academic publishing has traditionally been criticized because of transparency concerns, prejudice, and the superiority of the centralized publishers. The opportunity that blockchain technology has brought to the field of scholarly communication is the possibility of transforming the field by bringing in the element of trust, immutability, and decentralized validation schemes. The proposed research is an inquiry into creating a blockchain-based trust system in academic publishing systems. The suggested model will combine smart contracts, decentralized identity management, and tokenized peer-review systems to allow delivering research outputs in a safe, verifiable, and fair manner. The paper assesses the efficiency of the transactions, the increase in transparency, and the responsibility of the reviewers using a prototype implemented using the Ethereum blockchain. The results indicate that blockchain-based trust protocols can minimize the rate of fraudulent publication by 38 and transparency of peer-review by 52 in comparison to traditional systems. The study is an input to the architecture of a durable and decentralized academic communication system. Radhakrishnan 2025-11-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/16 10.65180/ijemri.2025.1.2.05 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 2, JULY-SEPTEMBER 2025; 24-29 3107-7013 eng https://ijemri.com/index.php/files/article/view/16/17 Copyright (c) 2025 International Journal of Emerging Multidisciplinary Research and Innovation  https://creativecommons.org/licenses/by/4.0/

oai:ojs.ijemri.com:article/17 2025-11-14T06:14:15Z files:ART

oai:ojs.ijemri.com:article/18 2025-11-14T06:14:39Z files:ART

oai:ojs.ijemri.com:article/19 2026-01-22T07:20:22Z files:ART

Cognitive AI Models for Predictive Urban Sustainability: A Hybrid Deep Learning Framework Dr S. Radhakrishnan Cognitive AI, Urban Sustainability, Deep Learning, Smart Cities, Predictive Analytics The rise in the amount of population, energy consumption, and climate issues have been issues of concern worldwide, which have given rise to urban sustainability. In the paper, the author explains about a hybrid deep learning system that integrates Cognitive Artificial Intelligence (AI) with urban analytics to predict the sustainability outcomes of the main areas, such as energy efficiency, waste management, transportation, and air quality. The proposed model will make use of Convolutional Neural Network (CNN) to compute the spatial information and Recurrent Neural Network (RNN) to compute the trends in order to realize real-time adaptive predictions. The open urban data was subjected to experimental validation, which demonstrated that the predictive accuracy of the open urban data is 91 percent and the wastefulness of the resource is minimized. It is an AI cognitive model that will help policymakers and urban planners to plan a sustainable city development using data. Radhakrishnan 2025-11-17 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/19 10.65180/ijemri.2025.1.3.01 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 3, October-December 2025; 1-5 3107-7013 eng https://ijemri.com/index.php/files/article/view/19/20 Copyright (c) 2025 International Journal of Emerging Multidisciplinary Research and Innovation  https://creativecommons.org/licenses/by/4.0/

oai:ojs.ijemri.com:article/20 2026-01-22T07:20:22Z files:ART

Quantum-Inspired Algorithms for Secure Cloud Data Migration and Encryption Ranganathan S Dr S. Radhakrishnan Quantum-Inspired Computing, Cloud Security, Data Migration, Hybrid Encryption, Cryptography The necessity to provide the effective and secure data migration processes is growing inexorably because of the fact that cloud computing is being created as the foundation of the modern digital ecosystems. However, the conventional encryption and migration algorithms are challenging in the ability to resist the quantum computing attacks that currently exist and offer security at realtime. In this paper, quantum based hybrid encryption system of safe cloud data transfer has been proposed. The framework embraces the quantum key distribution (QKD) concepts, optimization of chaotic map and generates keys with the help of the genetic algorithm to carry out the high speed and adaptive encryption. The simulated transfers of the data between the nodes of the cloud data have proved that the cloud data encryption solidity and the time lag is 47 and 31 less than the traditional AES and RSA systems respectively. One of the most probable pre-quantum defence technologies which will allow the data to be transferred safely and successfully in the case of the dynamic cloud infrastructures is quantum-inspired computing as it is revealed in the present paper. Radhakrishnan 2025-11-17 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/20 10.65180/ijemri.2025.1.3.02 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 3, October-December 2025; 6-10 3107-7013 eng https://ijemri.com/index.php/files/article/view/20/21 Copyright (c) 2025 International Journal of Emerging Multidisciplinary Research and Innovation  https://creativecommons.org/licenses/by/4.0/

oai:ojs.ijemri.com:article/21 2026-01-22T07:20:22Z files:ART

Development of an Evidence-Based Artificial Intelligence Literacy Curriculum for Physiotherapy Students in India: A Methods Paper Dr.Tanigaiselvane Dr.Muthukumaran Artificial Intelligence, Physiotherapy Education, Curriculum Development, Digital Health, India, AI Literacy Objective: The integration of Artificial Intelligence (AI) into global healthcare necessitates corresponding advancements in health professions education. This study aimed to develop a comprehensive, evidence-based AI literacy curriculum specifically tailored for physiotherapy students in India, where such training is currently absent. Methods: A systematic curriculum development process was employed, guided by Kern’s sixstep framework. This involved a literature review of global AI applications in physiotherapy and healthcare education, a targeted needs assessment identifying gaps in current Indian physiotherapy training, and synthesis and contextualization to adapt international evidence for the Indian healthcare setting. Results: The outcome is a detailed 12-week, 36-contact-hour curriculum titled 'Artificial Intelligence Literacy in Physiotherapy Practice'. The curriculum consists of five sequential modules emphasizing low-cost tools, Indian case studies, ethical reasoning, and hands-on exercises. Conclusion: This paper provides a rigorously developed, ready-to-implement framework to address the critical gap in AI literacy within Indian physiotherapy education. Future research should evaluate its effectiveness in improving student competencies and readiness for AIintegrated healthcare. Radhakrishnan 2025-11-17 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/21 10.65180/ijemri.2025.1.3.03 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 3, October-December 2025; 11-13 3107-7013 eng https://ijemri.com/index.php/files/article/view/21/22 Copyright (c) 2025 International Journal of Emerging Multidisciplinary Research and Innovation  https://creativecommons.org/licenses/by/4.0/

oai:ojs.ijemri.com:article/22 2026-01-22T07:20:22Z files:ART

Eccentric Facial Muscle Exercises For Bell's Palsy: A Cost-Effective Rehabilitation Protocol For Early And Recovery Phases Dr.Tanigaiselvane Dr.Neethi.M Dr.Muthukumaran Bell's palsy, eccentric exercise, facial rehabilitation, cost-effective intervention, neuromuscular reeducation Background: Bell's palsy affects approximately 20-30 per 100,000 individuals annually. While conventional facial exercises show benefits (Khan et al., 2022; Teixeira et al., 2011), systematic application of eccentric muscle training principles to facial rehabilitation remains unexplored. Objective: To propose an evidence-informed protocol integrating eccentric facial muscle exercises during early and recovery phases of Bell's palsy, emphasizing accessibility and costeffectiveness. Methods: This protocol synthesizes current facial rehabilitation evidence with established eccentric exercise principles to create a progressive home-based intervention requiring minimal equipment. Results: A 12-week protocol is presented incorporating acute protection (weeks 1-3), active eccentric training (weeks 4-8), and functional integration (weeks 9-12) phases. Total material cost: $3-23 per patient versus $1,600-3,600 for conventional therapy. Conclusion: Eccentric facial muscle exercises represent a promising, cost-effective approach addressing gaps in Bell's palsy rehabilitation. Clinical trials are warranted to establish efficacy. Radhakrishnan 2025-11-17 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/22 10.65180/ijemri.2025.1.3.04 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 3, October-December 2025; 14-23 3107-7013 eng https://ijemri.com/index.php/files/article/view/22/23 Copyright (c) 2025 International Journal of Emerging Multidisciplinary Research and Innovation  https://creativecommons.org/licenses/by/4.0/

oai:ojs.ijemri.com:article/25 2026-01-22T07:28:28Z files:ART

AI-Driven Digital Retail Transformation: A Comprehensive Study of the Future of E-Commerce Woldesemayat, Tadesse Bashahder Getahun, Bayou Melkamu Shibesh, Alemnew Artificial Intelligence, E-commerce, Digital Retail, Personalization, Machine Learning, Consumer Behavior, Recommendation Systems. Artificial Intelligence (AI) is re-inventing the design, operations, and customer relationships approaches of the global e-commerce system. Customized suggestions and dynamic pricing models, smart logistics, and chatbots are just some examples of AI technologies that have made modern digital retail. This research paper is a hybrid, as it explores the ways AI is transforming e-commerce based on theoretical, empirical, and a simulated dataset, which is a model of consumer behavioral responses to AI-enabled retail interfaces. An abstract map demonstrates the multilateral interplay of AI technologies, efficiency of the operations, the extent of personalization, and consumer trust that further affects the purchase intentions and brand loyalty. Findings of a simulated dataset of 500 hypothetical online shoppers indicate that AI-based personalization, quality of recommendations, and trust in the automated systems have a major predictive power of purchase intention and satisfaction. The paper then ends by providing strategic suggestions that should be adopted by digital retailers, ethical issues, and future of AI-facilitated commerce. Radhakrishnan 2025-12-10 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/25 10.65180/ijemri.2025.1.3.05 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 3, October-December 2025; 33-39 3107-7013 eng https://ijemri.com/index.php/files/article/view/25/25 Copyright (c) 2025 International Journal of Emerging Multidisciplinary Research and Innovation  https://creativecommons.org/licenses/by/4.0/

oai:ojs.ijemri.com:article/26 2026-01-22T07:20:22Z files:ART

Assessment of Foodborne Pathogens in Ready-to-Eat Foods Using Rapid Biosensor Technology Dr. K. Sumana Mounya Ready-to-eat foods; biosensors; foodborne pathogens; fast detection; Listeria monocytogenes. RTE foods are highly popular due to the reasons of convenience and limited preparation, but continue to serve as a frequent source of foodborne pathogens owing to the large amount of handling, the reliance on cold chaining, and the lack of a terminal heat treatment. The standard regulatory decision regarding the detection of pathogen still relies on conventional microbiological culture and confirmatory molecular techniques; nevertheless, they have a slow turnaround time that slows risk decisions in high-throughput retail and institutional environments. Near-real-time screening of high-risk pathogens such as Salmonella spp., Listeria monocytogenes, pathogenic Escherichia coli (including O157:H7) and Campylobacter spp. can be a promising approach with rapid biosensor technologies, which combines biological recognition factors (e.g., antibodies, aptamers, enzymes, phages) with transduction technologies (electrochemical, optical, piezoelectric, and magnetic). This paper is a synthesis of the existing knowledge on biosensor-based detection of RTE foods, focusing on analytical performance, limitations of sample preparation and applicability to food safety monitoring. An effective methodology framework is suggested to be used in the field-relevant evaluation of the biosensor screening in relation to the reference methods, such as the pre-enrichment combination, management of the matrix effects, and quality assurance controls. It is emphasized in the discussion that although biosensors have the potential to enormously decrease time-to-result and allow decentralized screening performance is highly dependent on the complexity of food matrices, small infectious dose organisms, and the need to discriminate viability. The limitations and future directions are outlined taking into consideration ethical communication of swift results, standardization and adherence to open science and reproducibility standards in food safety diagnostics. Radhakrishnan 2025-12-22 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/26 10.65180/ijemri.2025.1.3.06 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.1, Issue 3, October-December 2025; 24-33 3107-7013 eng https://ijemri.com/index.php/files/article/view/26/33 Copyright (c) 2025 International Journal of Emerging Multidisciplinary Research and Innovation  https://creativecommons.org/licenses/by/4.0/

oai:ojs.ijemri.com:article/35 2026-03-12T07:31:49Z files:ART

Transforming Traditional Business Models through Advanced Analytics and Data-Driven Decision Making Varma, Mr.Kanumuri Vinod Ramana, Mr.Marisetti Venkata Mrs. T Srimathi Advanced analytics; Business model innovation; Data-driven decision making; Digital transformation; Strategic agility The rising access to big data and sophisticated analytics tools has changed the nature of designing and transforming the business models of organizations in significant ways. The more conservative business models with a heavy reliance on experience-based decision making and fixed value propositions are proving to be less and less appropriate in highly dynamic and competitive markets. The advanced analytics and data-driven decision-making role of transforming traditional business models is examined in this study. The study seeks to investigate how analytics capabilities can influence the quality of strategic decisions, operational performance, creation of customer values, and innovation performance. A quantitative research approach was employed, utilizing survey data collected from 342 managers and analytics professionals across manufacturing, retail, and service sectors. Statistical analyses, including descriptive statistics, correlation analysis, and multiple regression, were applied to assess the relationships among analytics adoption, decisionmaking effectiveness, and business model transformation. The results reveal a strong positive relationship between advanced analytics maturity and business model innovation, particularly in revenue diversification, customer personalization, and cost optimization. Predictive and prescriptive analytics were found to significantly enhance strategic agility and decision accuracy. The research comes to a conclusion that analytics-based decisionmaking is an essential facilitator of business model sustainability change instead of being a technological improvement. The results present empirical data on why analytics plays a strategic role in redefining value creation and capture mechanisms and combine their theoretical values with practical implications to organizations seeking to undergo digital transformation.  Radhakrishnan 2026-02-17 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/35 10.65180/ijemri.2026.2.1.01 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.2, Issue 1, JANUARY - MARCH, 2026 ; 1-11 3107-7013 eng https://ijemri.com/index.php/files/article/view/35/34 https://creativecommons.org/licenses/by/4.0

oai:ojs.ijemri.com:article/36 2026-03-12T07:31:49Z files:ART

Impact of Digital Advertising on Consumer Buying Behavior for Apparel Products: Evidence from Tamil Nadu Mrs. V. Sasikala Dr. Poongodi Digital advertisings, buying behaviors and social media marketings. The exponential growth of digital technologies has significantly altered the retail landscape of the Indian apparel industry, with Tamil Nadu becoming a major link between the arena of production and consumption.  This research studies the role of digital advertisement in the buying decision of consumers in the apparel industry with a specific focus on the heterogeneous demographic milieu of Tamil Nadu. By combining the Attention-Interest-Desire-Action (AIDA) model and the Technology Acceptance Model (TAM), the research examines how various types of digital advertising from social media marketing to augmented reality impact the psychological decision-making process of consumers.  Preliminary findings show that due to high literacy rates and penetration of mobile, some districts like Chennai, Coimbatore and Madurai have developed a discriminating consumer base, exhibiting both brand orientation and local affinity.   Radhakrishnan 2026-02-17 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/36 10.65180/ijemri.2026.2.1.02 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.2, Issue 1, JANUARY - MARCH, 2026 ; 12-26 3107-7013 eng https://ijemri.com/index.php/files/article/view/36/35 https://creativecommons.org/licenses/by/4.0

oai:ojs.ijemri.com:article/37 2026-03-12T07:31:49Z files:ART

Digital Transformation in Educational Assessment: Methodological Innovations and Enhanced Learning Outcomes in Ethiopian Higher Education Institutions Zergaw, Dr. Lemma Nigussie Dr. Tripura Sundari. C.U Dr S. Radhakrishnan Digital Transformation, Educational Assessment, Higher Education, Learning Outcomes. Technology is offering innovative and powerful tools for educators and learners, Digital transformation in educational sector is revolutionizing the way of learning. Ethiopian higher education faces particular challenges in utilizing digital tools to improve assessment outcomes and challenges that include lack of infrastructure, limited digital literacy and support from educators and students, and related inadequate policies.  This Research presents the digital transformation of educational assessment to improve learning outcomes in higher education institutions in developing regions like Ethiopia. Data were gathered through a mixed-methods approach to evaluate existing frameworks by capturing the voices of faculty members and students across multiple institutions in Ethiopian and to identify gaps in the adoption of digital human modeling. findings suggest that digital assessment tools can improve students’ engagement and transparency as well as enhance the teacher’s real-time feedback efficiency. Despite these challenges, a shortage of digital infrastructure, low digital literacy and resistance to change have so far prevented mass adoption of services and products. A strategic framework is proposed in this research for Ethiopian higher education institutions, capacity building initiatives, and for scaling digital solutions. It is then the contribution of the study to the global discourse of digital education to provide insights into local educational needs and international standards in the alignment of digital assessment practices. Radhakrishnan 2026-02-17 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/37 10.65180/ijemri.2026.2.1.03 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.2, Issue 1, JANUARY - MARCH, 2026 ; 27-41 3107-7013 eng https://ijemri.com/index.php/files/article/view/37/36 https://creativecommons.org/licenses/by/4.0

oai:ojs.ijemri.com:article/40 2026-03-12T07:31:49Z files:ART

Mitigating Managerial Behavioral Biases through Smart Technologies: Implications for Organizational Sustainability and Green Growth Ashima Dr. Chandrawati Nirala Dr. Vikram Singh Behavioral biases, Smart technologies, Managerial decision-making, Organizational sustainability, and green growth. The inability of the organization to achieve its sustainability and green growth objectives is attributed to the fact that managers make decisions based on behavioral biases. The process is caused by the biases that contain overconfidence, anchoring and herd behavior, and loss aversion, leading to resource allocation problems and sustainable innovation challenges and short-term orientation problems. Smart technologies that comprise artificial intelligence (AI) and big data analytics and digital decision-support systems offer organizations with a new approach to improve the decision-making process by offering more rationality and transparency. The research question is examined in terms of the way smart technologies operate to decrease managerial behavioral biases that subsequently lead to the benefits of organizational sustainability and green growth. The research team gathered survey data of managers in manufacturing and service industries in an emerging economy in order to test their connections using the structural equation modeling (SEM). With smart technologies, organizations can reduce the amount of managerial behavioral biases that will lead to better organizational sustainability and green growth. The research paper adds to the literature on administrative sciences and behavioral management by combining both behavioral bias theory and the use of smart technologies that provide practical recommendations to managers and policymakers.  Radhakrishnan 2026-03-12 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/40 10.65180/ijemri.2026.2.1.05 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.2, Issue 1, JANUARY - MARCH, 2026 ; 56-67 3107-7013 eng https://ijemri.com/index.php/files/article/view/40/38 https://creativecommons.org/licenses/by/4.0

oai:ojs.ijemri.com:article/48 2026-03-12T07:31:49Z files:ART

Awareness of Cancer Rehabilitation Services Among Cancer Patients in Uttar Pradesh: A Cross-Sectional Study Dr. Tanigaiselvane Dr. Neethi Dr. Muthukumaran Cancer rehabilitation, physiotherapy, awareness, Cancer Awareness Measure, barriers, Uttar Pradesh, India Cancer rehabilitation with physiotherapy is critical for enhancing quality of life and functional outcomes in patients affected by cancer. Nonetheless, there are few data about patient awareness of such services in Uttar Pradesh, India. To evaluate cancer rehabilitation awareness of cancer patients in Uttar Pradesh, using a validated instrument, and to identify barriers to accessing these services. The adapted Cancer Awareness Measure (CAM) was applied to a cross-sectional survey that was conducted among 82 cancer patients attending oncology departments of hospitals in Uttar Pradesh, India in 2019 and 2020. The CAM is a well-validated, psychometrically strong, and highly reliable instrument (Cronbach alpha=0.77). Only 41.5% (n=34) of 82 participants (mean age 52.3±12.7 years, 57.3% female) were aware of cancer rehabilitation services. Awareness was significantly higher among educated patients (p=0.023) and in urban areas (p=0.012). Education (adjusted OR=3.42, 95% CI: 1.31-8.93, p=0.012) and urban residence (adjusted OR=2.87, 95% CI: 1.097.54, p=0.032) independently predicted awareness. Most information was accessed through oncologists (52.9%) and family & friends (29.4%). Top barriers were lack of information (68.3%), cost barriers (43.9%), and distance (36.6%). Only 26.8% of patients who were aware had actually used physiotherapy services. Among these low-awareness patients, 89.0% indicated willingness to seek out services if available—indicating low awareness only. Despite the existence of cancer patients in Uttar Pradesh, there is a lack of awareness concerning cancer rehabilitation services. Education and residence in urban areas are important factors for awareness. Urgent system-level patient education programmes, better communication between health providers, and policy interventions that link rehabilitation with standard care pathways for cancer are urgently required.  Radhakrishnan 2026-03-10 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/48 10.65180/ijemri.2026.2.1.04 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.2, Issue 1, JANUARY - MARCH, 2026 ; 42-55 3107-7013 eng https://ijemri.com/index.php/files/article/view/48/37 https://creativecommons.org/licenses/by/4.0

oai:ojs.ijemri.com:article/56 2026-04-16T08:19:21Z files:ART

Innovation Management and Sustainability: A Bibliometric Analysis of Global Research Trends Ms Anjali Dr. Praveen Kumar Dr. Anuja Innovation management, sustainability, Green innovation, Bibliometric analysis, Science mapping. Innovation management and sustainability have become intertwined pillars to the realization of long-term competitiveness of an organization and social-economic growth. This study analysed global research trends in innovation management and sustainability through bibliometric analysis and visualization, and maps the intellectual structure, thematic development, and collaboration patterns in the field. This study employed bibliometric analysis and science mapping techniques using Biblioshiny in RStudio and VOSviewer. Through an extensive collection of thousands of research papers located in Scopus database consisting of various fields of study covering publications from 1982 to 2026 of academic work. The methods used are bibliometric, such as the performance analysis and science mapping, to discuss the work of prominent authors, powerful journals, prolific institutions, nations, and predominant research topics. These results indicated that, there has been a linear increase in publications and the key themes include sustainable innovation, green innovation, digital transformation, circular economy, and competitive advantage. The thematic clustering determines the new research fronts in which innovation management is becoming more aligned with environmental and social objectives of sustainability. This study gives a systematic review of the body of knowledge in the area and gives possible ways of conducting future research especially in combining digital technologies, policy models and sustainability-based business models. On the whole, this bibliometric review can be of importance to other researchers, practitioners, and policymakers who want to learn about the development of innovation-based sustainability research and its perspectives.  Radhakrishnan 2026-04-16 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/56 10.65180/ijemri.2026.2.2.02 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.2, Issue 2, APRIL - JUNE 2026 ; 16 - 38 3107-7013 eng https://ijemri.com/index.php/files/article/view/56/40 https://creativecommons.org/licenses/by/4.0

oai:ojs.ijemri.com:article/61 2026-04-16T08:17:23Z files:ART

Aging and Displacement: A Qualitative Study of the Lived Experiences of Elderly Internally Displaced Persons in Debre Birhan, Ethiopia Wube Ashagre , Dr. Geremew Internally Displaced Persons (IDPs), Elderly, Displacement, Ethiopia, Multifaceted challenge The present study explores the lived experiences and multifaceted challenges faced by elderly internally displaced persons (IDPs) residing in the Debre Birhan IDP camps in Ethiopia. The purpose of the study was to gain an in-depth understanding of the social, psychological, economic, and health-related hardships encountered by this in danger part of population. A qualitative phenomenological research design was employed to dig out the nuanced realities of participants. Data were collected through in-depth interviews with 23 elderly IDPs selected through purposive and snowball sampling technique. Thematic analysis was used and revealed five core themes: psychological distress, economic hardship, social isolation, deteriorating health conditions, and exploitation/abuse. The findings revealed that the elderly IDPs are disproportionately affected by displacement, with limited access to services and minimal coping resources. This study contributes to the limited body of literature on elderly IDPs in Ethiopia and offers vigorous insights for humanitarian agencies, policymakers, and social workers aiming to develop inclusive and responsive interventions. Radhakrishnan 2026-04-16 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/61 10.65180/ijemri.2026.2.2.01 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.2, Issue 2, APRIL - JUNE 2026 ; 1-15 3107-7013 eng https://ijemri.com/index.php/files/article/view/61/39 https://creativecommons.org/licenses/by/4.0

oai:ojs.ijemri.com:article/66 2026-04-22T12:34:39Z files:ART

The Future of Remote Work: Analyzing Employee Productivity, Engagement, and Organizational Culture in Virtual Environments Dr.S. Anbarasi Dr.S. Revathy Dr.V. Rajeswari Employee Productivity, Remote Work Engagement, Organizational Culture, Hybrid Work Model, Work-Life Balance Remote work, which has been increased by the COVID-19 pandemic, has completely changed the productivity of employees, their engagement, and organizational culture. This paper will examine how remote work has affected these dimensions and examine the future of hybrid work models. This method was mixed and utilized quantitative surveys and qualitative interviews of 200 employees representing different industries, and focus group discussions of 20 HR professionals and managers. The findings suggest that remote work is associated with a greater productivity and engagement of employees which are considerably connected to greater autonomy and flexible work schedules. Nevertheless, such issues as communication barriers, isolation, and a weak organizational culture were also determined. Workers indicated that they had been less aligned with the values and mission of their organization in distanced locations and the significance of leadership and deliberate communication. Also, the researchers discovered that a hybrid work model that involves a mix of remote and in-office work was more preferred by majority of workers and is bound to be the future of work. The implications of the findings on business leaders are substantial and focused on the necessity of efficient leadership, strong approaches to communication, and implementation of technology to streamline the remote working conditions. Radhakrishnan 2026-04-22 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijemri.com/index.php/files/article/view/66 10.65180/ijemri.2026.2.2.03 International Journal of Emerging Multidisciplinary Research and Innovation ; IJEMRI: Vol.2, Issue 2, APRIL - JUNE 2026 ; 39 - 47 3107-7013 eng https://ijemri.com/index.php/files/article/view/66/41 https://creativecommons.org/licenses/by/4.0