2026-04-04T01:20:41Z https://ijmdas.org/index.php/files/oai

oai:ojs.ijmdas.org:article/5 2026-01-01T09:15:07Z files:ART

AI-Driven: Detecting and Preventing Advanced Persistent Threats Cybersecurity P.Nethrasri Artificial Intelligence, Advanced Persistent Threats (APTs), Cybersecurity, Machine Learning, Deep Learning, Intrusion Detection Systems (IDS), Anomaly Detection, Threat Detection, Network Security, AI-based Security Solutio Organizations must adopt improved cyber security methods that defend against cyber threats because Advanced Persistent Threats have exhibited rising sophistication in their operations. APT infiltrates organizations through extended targeted system intrusions to access secrets or break infrastructure while defying conventional sign-based security measures. The paper examines the operation of Artificial Intelligence technologies for APT detection and defense. The research develops an APT detection system in real time using machine learning and deep learning simultaneously for detecting anomalous activity and predictive modeling. The detection accuracy of AI systems increases substantially due to neural networks that show better results than normal traditional models. Standard cyber security infrastructure and false alarm management present main barriers to the deployment of this artificial intelligence system. The study focuses on Advanced Persistent Threats together with Artificial Intelligence and its linked techniques such as Anomaly Detection, Intrusion Detection Systems, and Real-time Response and Machine Learning and its subset Deep Learning. Kaleido Research Publications LLC 2025-07-19 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/5 10.65477/ijmdas.2025.v1.i1.01 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 1, July 2025; 1-7 3107-8028 eng https://ijmdas.org/index.php/files/article/view/5/2

oai:ojs.ijmdas.org:article/6 2026-01-01T09:53:55Z files:ART

Gender-Based Violence in the Workplace: Causes, Consequences, and Solutions Dr N Swapna Gender-Based Violence, Workplace, Sexual Harassment, Organizational Culture, Prevention, Victim Support The workplace displays GBV as physical violence directed at anybody due to their gender identification. The analysis explores what drives gender-based violence in work environments and how these incidents affect victims and their surroundings while investigating possible remedies to terminate such abuse. Research investigation identifies three main GBV organizational forms which span from sexual harassment to bullying and discrimination. The study examines how GBV violence negatively affects victims and their colleagues together with organizational spirit while reducing workplace output. This study establishes recommendations for businesses and legislative actors to stop GBV occurrences and build risk-free workplaces while giving support to affected personnel. Kaleido Research Publications LLC 2025-07-19 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/6 10.65477/ijmdas.2025.v1.i1.02 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 1, July 2025; 8-15 3107-8028 eng https://ijmdas.org/index.php/files/article/view/6/3

oai:ojs.ijmdas.org:article/7 2026-01-01T09:17:05Z files:ART

The Role of Epigenetics in Cancer: Mechanisms and Therapeutic Potential Dr Venkateswarlu B Epigenetics, Cancer, DNA Methylation, Histone Modifications, Non-Coding RNAs, Epigenetic Therapy, Gene Expression, Cancer Therapy, Drug Development The study of epigenetics investigates heritable modifications for gene expression as well as cellular phenotype although these modifications do not change the base sequence of DNA. Present-day cancer research studies have shown that epigenetic modifications play an essential part in developing cancer and causing its advancement while creating challenges to treatment effectiveness. This paper studies epigenetic modification mechanisms active in cancer cells through DNA methylation and histone modification and noncoding RNA effects on cancer therapy possibilities. This text analyzes the therapeutic value of epigenetic modification-focused cancer cell treatments while examining new pharmacological treatments during clinical trials. Current research demonstrates that epigenetic therapy shows considerable potential as a therapeutic choice in cancer care. The research presents a detailed synthesis of modern scientific research on epigenetic modifications in cancer cells together with their potential therapeutic value. Kaleido Research Publications LLC 2025-07-19 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/7 10.65477/ijmdas.2025.v1.i1.03 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 1, July 2025; 16-22 3107-8028 eng https://ijmdas.org/index.php/files/article/view/7/4

oai:ojs.ijmdas.org:article/8 2026-01-01T09:17:50Z files:ART

The Impact of Social Media on Political Participation in Democracies Dr. Anjaiah A depu Artificial Intelligence, Advanced Persistent Threats (APTs), Cybersecurity, Machine Learning, Deep Learning, Intrusion Detection Systems (IDS), Anomaly Detection, Threat Detection, Network Security, AI-based Security Solutio The research investigates how social media affects democratic political participation among citizens. Social media adoption continues to rise thus political involvement transformed leading to novel citizen approaches in political engagement. Research investigates the link between social media platforms and political engagement along with associated behaviors that involve voting activities and discussion of political topics and active participation. A combination of surveys together with qualitative interviews enables this research to deliver detailed assessments regarding both advantages and disadvantages of social media use for political involvement. Social media promotes political involvement yet its complete adoption depends on solving issues that include misinformation as well as polarization. Kaleido Research Publications LLC 2025-07-19 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/8 10.65477/ijmdas.2025.v1.i1.04 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 1, July 2025; 23-29 3107-8028 eng https://ijmdas.org/index.php/files/article/view/8/5

oai:ojs.ijmdas.org:article/9 2026-01-01T09:18:37Z files:ART

The Impact of Artificial Intelligence on Strategic Decision-Making in Organizations: A Case Study Approach Dr AAKUNURI MANJULA Artificial Intelligence, Strategic Decision-Making, Case Study, Organizational Strategy, Decision Support Systems, AI Integration, Human Judgment, Efficiency, AI Challenges. The research examines the effect that Artificial Intelligence (AI) brings to organizational strategic decision-making processes. Three large corporations from technology, retail and manufacturing segments serve as the basis to study AI tool integration through case study methods. This research demonstrates that AI improves both organizational decision speed and precision along with impacting the shape of strategic planning at the organizational level. The excessive dependence on AI systems showed potential negative effects on human strategic assessment capabilities as well as creativity in extended planning decisions during study analysis. This research delivers crucial guidance to businesses that want to apply AI for strategic decision support within their organizational framework. Kaleido Research Publications LLC 2025-07-19 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/9 10.65477/ijmdas.2025.v1.i1.05 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 1, July 2025; 30-38 3107-8028 eng https://ijmdas.org/index.php/files/article/view/9/6

oai:ojs.pkp.sfu.ca:article/10 2025-12-27T06:34:25Z files:ART

oai:ojs.pkp.sfu.ca:article/11 2025-12-27T06:34:29Z files:ART

oai:ojs.pkp.sfu.ca:article/12 2025-12-27T06:34:40Z files:ART

oai:ojs.pkp.sfu.ca:article/13 2025-12-27T06:34:37Z files:ART

oai:ojs.pkp.sfu.ca:article/14 2025-12-27T06:34:33Z files:ART

oai:ojs.ijmdas.org:article/18 2026-01-02T06:13:10Z files:ART

The Role of Digital Transformation in Shaping Modern Management Practices Dr K Vaishali Digital transformation, management practices, organizational performance, technology adoption, innovation The research investigates extensive digital evolution effects on current management practice structures. Modern organizations use digital technologies to upgrade operations and develop better decision systems and promote innovative approaches in their management practices. The research investigates organization digital transformation management approaches alongside obstacles and the total efficacy of these initiatives to improve organizational outcomes. Organizations that accept digital transformation achieve both market leadership and operational improvement and environmental adaptability in fast-paced modern-day business sectors. Kaleido Research Publications LLC 2025-08-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/18 10.62896/ijmdas.2025.v1.i2.01 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 2, August 2025; 1-9 3107-8028 eng https://ijmdas.org/index.php/files/article/view/18/13

oai:ojs.ijmdas.org:article/19 2026-01-02T06:15:57Z files:ART

Sustainable Business Practices: The Role of Management in Environmental Responsibility: Sustainable Business Practices as a Competitive Advantage The Role of Management in Environmental Integration Adigoppula Abhina Sustainable business practices, management strategies, environmental responsibility, corporate sustainability, leadership, employee engagement, cost savings, competitive advantage, innovation. This paper examines the role of management in promoting and integrating sustainable business practices within organizations. As environmental concerns such as climate change and resource depletion intensify, businesses face increasing pressure to adopt eco-friendly practices while ensuring continued profitability. Effective management is crucial in embedding sustainability into organizational strategies, aligning business goals with environmental responsibility, and driving long-term success. Through a comprehensive review of existing literature, case study analysis, and interviews with managers, this study identifies key managerial strategies that facilitate the adoption of sustainable practices. The research highlights the challenges companies face, such as high initial costs, resistance to change, and regulatory uncertainties, while also uncovering the significant benefits, including cost savings, enhanced brand reputation, and market differentiation. The study reveals that leadership, employee engagement, and the adoption of innovative technologies play pivotal roles in the successful integration of sustainability. Organizations that prioritize sustainability are better positioned to gain a competitive edge, improve operational efficiency, and foster positive relationships with stakeholders. The findings underscore that sustainability should be viewed not merely as a regulatory requirement, but as a strategic opportunity that can lead to long-term business growth and resilience. Managers who are proactive in integrating sustainability into their business models can drive meaningful change within their organizations and contribute to broader environmental goals. The study concludes by offering recommendations for managers to overcome the barriers to sustainability, emphasizing the importance of strong leadership and a clear strategic vision. Kaleido Research Publications LLC 2025-08-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/19 10.65477/ijmdas.2025.v1.i2.02 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 2, August 2025; 10-20 3107-8028 eng https://ijmdas.org/index.php/files/article/view/19/14

oai:ojs.ijmdas.org:article/20 2026-01-02T06:16:53Z files:ART

Global Supply Chain Management: The Role of Technology in Improving Efficiency Dr.Padmaja Pulicherla Global supply chain, blockchain, artificial intelligence, Internet of Things, machine learning, optimization, operational efficiency, transparency, cost reduction. The global supply chain represents an essential component of present-day business by establishing advanced connections between manufacturers and businesses that work with suppliers and consumers located in different parts of the world. Modern supply chain operations underwent fundamental changes because of recent technology integrations between them which led to enhanced efficiency alongside lower prices and better supply visibility. This document examines how blockchain along with AI, ML and IoT technologies work together for optimizing global supply chain operations. The paper examines industry reports along with case studies which demonstrate existing applications of these technologies to simplify business operations while improving trend forecasting and decision making capabilities and resolving delays while fighting fraud. The paper examines obstacles for technology adoption through financial limitations and infrastructure necessities and change resistance and presents methods for businesses to navigate these hurdles. The research demonstrates how technology transforms global supply chain management by offering business organisations a clear guide for operational improvement. Kaleido Research Publications LLC 2025-08-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/20 10.65477/ijmdas.2025.v1.i2.03 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 2, August 2025; 21-28 3107-8028 eng https://ijmdas.org/index.php/files/article/view/20/15

oai:ojs.ijmdas.org:article/21 2025-12-30T06:02:44Z files:ART

Advancements in Quantum Computing: Exploring the Future of Data Processing Swamy Akunoori Quantum Computing, Data Processing, Quantum Algorithms, Quantum Speedup, Computational Efficiency, Quantum Hardware, Data Security, Quantum Cryptography, Quantum Error Correction. The techniques of quantum computing direct future data processing solutions toward problems that traditional computers solve poorly. This research investigates contemporary evolutionary developments in quantum computing systems which focus on data handling operations. Quantum computing has now reached an advanced state as a result of the synergy between quantum algorithm development and hardware work and error correction techniques that make this technology believable for broad-purpose revolution in multiple areas through higher efficiency and enhanced accuracy and speed. Research analyzes how quantum computing will transform industry business processes through future applications because the technology demonstrates great potential as a data processor. The paper investigates two key barriers that involve limited hardware potential and demanding specialized professionals. Future work examining quantum computing development is presented in the final section alongside assessments on the necessity of additional research activities that require collaborative teamwork. Kaleido Research Publications LLC 2025-08-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/21 10.65477/ijmdas.2025.v1.i2.04 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 2, August 2025; 29-35 3107-8028 eng https://ijmdas.org/index.php/files/article/view/21/16

oai:ojs.ijmdas.org:article/22 2026-01-02T06:21:47Z files:ART

Exploring Extremophiles: Microbial Life in Harsh Environments and their Biotechnological Applications K Sumana Mounya Swati Shikha M. Aneez Mohamed Vidhya Extremophiles, harsh environments, biotechnological applications, microbial life, biotechnology, industrial applications, bioenergy, pharmaceuticals, ethical considerations. Microorganisms called extremophiles exist in harsh environments which exhibit extreme temperature ranges together with acidic or alkaline conditions and highly saline conditions. The organisms succeed and thrive underneath extreme conditions by employing specific biochemical processes alongside physiological adaptations. The study of extremophiles has yielded insights about basic life practices and created various possibilities for biotechnological applications. The research paper examines different extremophilic life forms and their distinctive adaptations and investigates industrial applications from waste cleanup to energy creation and pharmaceutical development and agricultural production. The paper develops future outlooks for extremophile research as it investigates their applications in biotechnology as well as their transformative capabilities across different sectors. Furthermore the discussion includes ethical dimensions with case study analysis and economic evaluation of extremophile-based processing to deliver comprehensive understanding regarding the subject area. Kaleido Research Publications LLC 2025-08-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/22 10.65477/ijmdas.2025.v1.i2.05 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 2, August 2025; 36-42 3107-8028 eng https://ijmdas.org/index.php/files/article/view/22/17

oai:ojs.ijmdas.org:article/23 2026-01-02T06:27:56Z files:ART

Blockchain Applications in International Trade Management Dr. Syed Hassan Imam Gardezi Blockchain technology, International trade, Trade management, Smart contracts, Supply chain transparency. The process of international trade management incorporates multifaceted activities in the form of documentation, payments, logistics organization, lawful regulation, and hazardous activity relief among various stakeholders and jurisdictions. The traditional systems of trade are normally filled with inefficiencies, absence of transparency, excess costs of transaction, and prone to fraud. Blockchain technology is a disruptive digital technology that could revolutionize management of international trade as it allows management to have secure, transparent, and decentralized systems of transactions. This paper analyzes the uses of blockchain technology within the international trade management with emphasis laid on its effectiveness in improving transparency, traceability, efficiency, and trust among the players in the global trade. The paper provides the synthesis of the insights provided by the academic literature and industry reports, and global trade initiatives through the use of a descriptive and analytical research design with secondary data to investigate the main blockchain use cases to be discussed, including smart contracts, trade finance, supply chain tracking, and customs management. The results suggest that blockchain has the potential to play a significant role in decreasing the processing time, paperwork, and costs of operation and enhancing adherence to and control of risks in international trade. Nonetheless, there are still obstacles associated with scalability, interoperability, regulatory uncertainty and implementation of technology. The paper presents strategic implications as they relate to the policymakers, trade institutions, and firms that wish to use blockchain as a way of establishing more resilient and efficient global trade systems. Kaleido Research Publications LLC 2025-09-10 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/23 10.65477/ijmdas.2025.v1.i3.01 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 3, September 2025; 1-7 3107-8028 eng https://ijmdas.org/index.php/files/article/view/23/18

oai:ojs.ijmdas.org:article/25 2026-01-02T06:22:53Z files:ART

Human Capital Analytics for Organizational Performance Dr. Syed Hassan Imam Gardezi Human Capital Analytics, Organizational Performance, HR Analytics, Workforce Analytics, Strategic Human Resource management. The human capital has become an important strategic asset in the knowledge-based economy and organizations have turned to data-driven methods to manage the workforce performance. Human Capital Analytics (HCA) uses progressive data analytics, artificial intelligence, and statistics to turn human resource data into actionable insights that can be utilised in strategic decision-making. This research paper discusses how human capital analytics can be used to improve organizational performance through the improvement of talent acquisition, workforce productivity, employee engagement, and employee retention. The research is based on the analytical and conceptual research method with the foundation in modern literature and addresses such dimensions of HCA as tools used in analysis, difficulties in implementation, and performance results. The article suggests the integrative model connecting human capital analytics capabilities with organizational performance and competitive edge. There has been evidence indicating that companies with mature HCA practices have a higher level of operational efficiency, strategic orientation and sustainable performance. The research adds to the currently accumulating literature on HR analytics and has its practical implications to managers who intend to create data-driven human capital strategies. Kaleido Research Publications LLC 2025-10-27 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/25 10.65477/ijmdas.2025.v1.i4.01 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 4, October 2025; 1-6 3107-8028 eng https://ijmdas.org/index.php/files/article/view/25/19

oai:ojs.ijmdas.org:article/26 2026-01-02T06:23:38Z files:ART

Green Finance Models for Climate-Resilient Economies Dr. Syed Hassan Imam Gardezi Green Finance, Climate Resilience, Sustainable Finance, ESG, Climate Risk, Green Investment.. The problem of climate change is a type of systemic risk to the stability of the world economy, which requires financial systems to be transformed to deliver climate-resilient development pathways. Green finance has become a highly important tool in the mobilization of capital towards environmentally sustainable and climate-adaptive investments. This research paper reviews the green finance models which facilitate climate resilient economies through introducing the environmental, social, and governance (ESG) principles in financial decision making process. The research adopts a conceptual and analytical approach to investigating important green finance tools, institutional framework, and policy tools that facilitate mitigation and adaptation to climate change. The article suggests a green finance integrative model that is connected to financial innovation, alignment in regulation, and resiliency. The results indicate that good models of green finance can improve the resilience of the economy, decrease financial risks posed by climate change, and encourage the growth of a sustainable economy. The paper adds to the increasing body of knowledge on sustainable finance and offers policy implications to policy makers and financial institutions and investors aiming to create climate resilient economies. Kaleido Research Publications LLC 2025-12-27 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/26 10.65477/ijmdas.2025.v1.i5.01 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 5, November 2025; 1-6 3107-8028 eng https://ijmdas.org/index.php/files/article/view/26/24

oai:ojs.ijmdas.org:article/27 2026-01-02T06:25:26Z files:ART

Federated Learning–Enabled Privacy-Preserving Intelligent Systems for Distributed Data Environments Dr.Padmaja Pulicherla Federated learning, Privacy-preserving AI, Distributed intelligence, Secure machine learning, Edge computing. The intensive pace of the growth of data-intensive intelligent systems has enhanced the issues over privacy, data ownership and regulatory compliance. Traditional centralized machine learning systems presuppose the transfer of vast amounts of data, which is sensitive and vulnerable to security risks and liability to centralized servers, making systems prone to security breaches and legal liability. Federated Learning (FL) has recently become a decentralized framework of machine learning that allows collaborative training of model on distributed data in a setting that does not require the sharing of data. The research paper is a proposal of a federated learning-enabled intelligent system architecture that facilitates privacy-sensitive, scalable, and communication-efficient learning. The architecture incorporates distributed client training, secure aggregation and adaptive optimization solutions. An extensive simulation-based analysis is done in terms of accuracy, convergence behavior, communication overhead, and exposure to privacy. The experimental outcomes show that the suggested FL-based system is quite accurate as well as the centralized learning and can significantly decrease communication costs as well as the appearance of raw data. The results make federated learning a strong base of the next generation of privacy-conscientious smart systems in the fields of healthcare, finance, and massive IoT networks. Kaleido Research Publications LLC 2025-12-27 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/27 10.65477/ijmdas.2025.v1.i6.01 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 6, December 2025; 1-8 3107-8028 eng https://ijmdas.org/index.php/files/article/view/27/20

oai:ojs.ijmdas.org:article/28 2026-01-02T06:26:04Z files:ART

Hybrid Edge–Cloud Intelligence: A Deep Learning Architecture forReal-Time Decision Optimization Dr. Akana Chandra Mouli Venkata Srinivas Cloud computing, Real-time systems, Intelligent decision-making, Edge computing, Deep learning. The growing need of real-time intelligent decision-making in the contemporary computing environments has shown the weakness of strictly cloud-based artificial intelligence systems, especially in cases of latency sensitivity and the resource constraints. Although edge computing can be used to perform inferences with low latency near data, it does not have the computing power demanded to train and optimize deep learning models. The research paper suggests a hybrid architecture, which combines deep learning models at the distributed computing architectures to produce real time, scalable and adaptable decision-making. The suggested architecture effectively separates the inference and learning activities between edge nodes and cloud servers, allowing the edge to make time-sensitive decisions, and allows the cloud server to train and synchronize models and optimize them globally. A system model and workflow are introduced, and a simulated analysis is given on the basis of performance metrics, i.e., latency, bandwidth use, accuracy and energy efficiency. The experimental findings prove that the hybrid architecture can use a much lower inference and bandwidth cost than cloud-only strategies without sacrificing the predictive accuracy of the hybrid model. The results verify that the concept of hybrid edgeous cloud intelligences is a powerful tool in the real-time decision-making in recent intelligent systems. Kaleido Research Publications LLC 2025-12-18 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/28 10.65477/ijmdas.2025.v1.i6.02 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 6, December 2025; 9-14 3107-8028 eng https://ijmdas.org/index.php/files/article/view/28/21

oai:ojs.ijmdas.org:article/29 2026-01-02T06:26:58Z files:ART

FinTech Innovations and the Future of Cashless Economies Dr. Syed Hassan Imam Gardezi FinTech, Cashless Economy, Digital Payments, Financial Inclusion, Blockchain, Artificial Intelligence. The high pace of financial technology (FinTech) is radically transforming the world payment systems and increasing the shift towards cashless economies. Digital payment systems, mobile wallet systems, blockchain applications, artificial intelligence, and open banking systems have changed the manner in which people, business entities, and governments transact financial deals. The current research paper analyzes how FinTech innovations are able to promote cashless economies with emphasis on technological facilitators, economic and social effects, regulatory issues, and future directions. Based on the conceptual and analytical approach to research, which is based on the latest academic literature and evidence in the industry, the study examines the way in which FinTech will increase financial inclusion, efficiency, transparency, and security, and at the same time bring about concerns pertaining to digital divide, cybersecurity, data privacy, and systemic risk. The article suggests a prospective model that connects FinTech innovation to inclusive and sustainable cashless economic systems. The research indicates that FinTech is a potent driver of cashless revolution but the policy, strong regulation, and good ethics should be coordinated to provide long-term stability and fair play. Kaleido Research Publications LLC 2025-12-27 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/29 10.65477/ijmdas.2025.v1.i6.03 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 6, December 2025; 15-19 3107-8028 eng https://ijmdas.org/index.php/files/article/view/29/22

oai:ojs.ijmdas.org:article/30 2026-01-01T09:22:21Z files:ART

Role of Artificial Intelligence in Sustainable Supply Chain Management Dr. Syed Hassan Imam Gardezi Artificial Intelligence, Sustainable Supply Chain Management, Green Logistics, Predictive Analytics, Industry 4.0. The growing environmental concerns, regulatory forces and stakeholder expectations have also become a strategic mandate in contemporary supply chain management because of the issue of sustainability. AI has the potential to revolutionize the supply chain processes to achieve sustainability in efficiency, transparency, and decision-making. This research paper discusses how AI is used to facilitate sustainable supply chain management (SSCM) using predictive analytics, intelligent automation, and live optimization. The study is based on a hybrid paradigm that combines previous theoretical knowledge with a simulated dataset that replicates the actual supply chain conditions to examine the effects of AI-based applications on environmental performance, economic performance and social performance in terms of sustainability. The results indicate that AI adoption has a great impact on resource efficiency, carbon emissions, demand forecasting, and responsible sourcing. The paper adds to the ever-increasing literature on SSCM by suggesting AI-powered sustainability framework and managerial implications in implementing intelligent supply chains in dynamic business environments. Kaleido Research Publications LLC 2025-07-19 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/30 10.65477/ijmdas.2025.v1.i1.06 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.1, Issue 1, July 2025; 39-44 3107-8028 eng https://ijmdas.org/index.php/files/article/view/30/23

oai:ojs.ijmdas.org:article/31 2026-03-11T07:36:33Z files:ART

Study on Impact of Employee Engagement on Productivity In Manufacturing Sectors Munimada S Radha R Career contentment, Extra-role behaviour, Employee commitment, employee engagement and employee motivation. In the manufacturing industry, where accuracy and efficiency are critical, employee engagement is especially important for boosting production and creating a competitive edge. This research investigates the connection between employee engagement and productivity, focusing on how engaged employees contribute to operational excellence, reduced turnover, and enhanced innovation. Through a review of existing literature and analysis of case studies from leading manufacturing organizations, the study identifies key engagement drivers such as effective communication, recognition, professional development, and workplace safety. The findings suggest that organizations with high levels of involvement among employees experience significant improvements in production efficiency, quality control, and employee morale. Conversely, low engagement often correlates with higher absenteeism, increased errors, and reduced output. By addressing barriers such as repetitive tasks and limited growth opportunities, manufacturing firms can leverage engagement strategies to optimize productivity. This study concludes by recommending actionable strategies for fostering a culture of engagement, underscoring its transformative potential for manufacturing operations. Kaleido Research Publications LLC 2026-03-11 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmdas.org/index.php/files/article/view/31 International Journal of Multidisciplinary and Applied Studies; IJMDAS: Vol.2, Issue 3, March 2026; 1-9 3107-8028 eng https://ijmdas.org/index.php/files/article/view/31/25