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The Impact of 6G Technology on Environmental Ecosystems and Human Life
The advent of 6G technology promises significant advancements that could reshape environmental ecosystems and human life. By providing ultra-low latency and immense bandwidth, 6G will enhance smart cities, supporting efficient energy management and reducing carbon footprints. The integration of AI-driven solutions may optimize resource use, facilitating sustainable practices across industries. Moreover, 6G will enable remote monitoring of ecosystems, allowing for real-time data collection on biodiversity and environmental health. This connectivity can drive conservation efforts, enabling swift responses to ecological threats. However, the increased energy consumption associated with 6G infrastructure raises concerns about sustainability. Balancing technological advancement with ecological stewardship will be essential, as society navigates the complexities of pervasive connectivity. Ultimately, the responsible development and deployment of 6G can foster a harmonious coexistence between technology, nature, and humanity. 2025 by IGI Global Scientific Publishing. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher. -
The Impact of Flexible Work Policies on Employee Well-Being and Retention in Modern Organizations
Flexible work policies have become foundational to contemporary organizational strategy, particularly in light of the transformative shifts triggered by the COVID-19 pandemic. This chapter investigates the multifaceted impact of such policies on employee well-being and organizational retention. Drawing from an integrative lens, it incorporates four major theoretical frameworksJob Demands-Resources (JD-R), Self-Determination Theory (SDT), Conservation of Resources (COR), and Social Exchange Theory (SET)to provide a comprehensive understanding of how flexible work arrangements influence employee engagement, satisfaction, and organizational loyalty. In addition to synthesizing existing scholarship, this chapter contributes a novel cross-t heoretical model that bridges motivational psychology and organizational behavior. It also proposes a suite of policy evaluation tools that blend qualitative and quantitative metrics, enabling organizations to monitor and. 2025 by IGI Global Scientific Publishing. All rights reserved. -
The Human Side of Sustainability: Environmental Leadership and Its Impact on Employee Growth
This paper explores the relationship between leadership and environmental sustainability, emphasizing the evolving role of leaders in fostering sustainable development. It examines how leadership practices drive environmental change by integrating sustainability into decision-making, organizational strategy, and stakeholder engagement. As organizations face increasing environmental challenges, regulatory demands, and societal expectations, leaders must balance financial performance with long-term sustainability goals. The study highlights the importance of stakeholder collaboration, corporate social responsibility, and strategic leadership in advancing sustainability initiatives. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Exploring the Relationship Between Leadership and Well-Being
Leadership and well-being are deeply intertwined, influencing individuals and organizational dynamics in profound ways. This study explores the bidirectional relationship between leadership styles, emotional intelligence, organizational culture, and well-being. By examining frameworks such as transformational, democratic, and ethical leadership, the research highlights the importance of adaptive, inclusive, and emotionally intelligent leadership in fostering employee satisfaction, mental health, and work-life balance. Additionally, the role of positive organizational culture and the evolving challenges of remote and hybrid leadership are analyzed. Findings suggest that leaders who emphasize empathy, ethics, and inclusivity create environments conducive to personal and collective growth. This comprehensive review provides actionable insights for leaders, policymakers, and organizations striving for effective leadership and enhanced employee well-being. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Innovative Frameworks for LMS Integration in Public Education: Balancing Local Needs with Global Standards
India has made significant progress in using digital technology in education, with Learning Management Systemsplaying a key role. LMS offer scalable platforms for content delivery, assessment, and engagement, enhancing both teaching and learning. They enable personalized learning, simplify administrative tasks, and bridge the digital divide, improving accessibility across geographies. One such initiative, eVidya, provides digital content to school students. This study explores the role of LMS in public education and the challenges of integrating them into government schools, balancing local needs with global standards. The paper analyzes LMS evolution, key features, and benchmarks, with a detailed review of India's DIKSHA system and comparisons with international platforms like Google Classroom, Canvas, Moodle, and Schoology. It looks at country-specific LMS solutions from the US, Europe Australlia and Asia. The research proposes the Integrated eVidya-LMS Implementation Framework for Karnataka's schools, highlighting the potential benefits for India's digital education landscape. 2026, IGI Global Scientific Publishing. All rights reserved. -
Balancing AI and Pedagogy: The Future of Technology in Education
Education receives transformational changes through artificial intelligence elements we could not have predicted. The discussion now proceeds to show how existing smart systems transform established teaching practices and modify educational student procedures. The public can occasionally witness AI working through education setups that adapt lessons to individual students and chat-based tutoring services and predictive analytics programs which help early detection of academic issues. Such technology systems provide immediate feedback while alerting teachers about students needing help leading to an inevitable transformation of classroom environments. The present educational tools offer promising prospects to advance education into a different future framework. Natural language processing brings interactive experiences to lessons while virtual and augmented reality technologies present virtual simulations such as diverse environments. 2026, IGI Global Scientific Publishing. All rights reserved. -
Empowering Educators: Leveraging GenAI for Enhanced Lesson Planning and Student Engagement
These days tech is disrupting every sector out there - and yes, schooling is no exception. We aren't dreaming about mixing Generative AI (GenAI for short) into our classrooms anymore; however, there's the good and bad. Now educators are considered to be more than simple knowledge deliverers and are expected to be wedded to these new tools into specialized, engaging lessons. It's somewhat of a fine balance where GenAI can actually very much empower teachers and students, rather than drown them in tech. In general, this implies that we must consider carefully how GenAI should be used for its potential to function at its best. Here we discuss how GenAI can reconfigure teaching methods to improve both the quality and reach of education. Using GenAI well is ultimately a question of employing a sort of framework that combines brand new ideas with 'what works' in teaching. 2026, IGI Global Scientific Publishing. All rights reserved. -
AI-Based Chatbots for Education: A Framework for Ethical and Social Perspectives
AI-based chatbots in education are extensively used. This chapter discusses the challenges and benefits of AI-based chatbots for students, teachers, and administrators. The use cases of AI-based chatbots reveal benefits and concerns. This chapter provides ethical and social implications and discusses the framework for the effective implementation of AI-based chatbots in education. The framework offers ethical implications such as fairness, accountability, transparency, accuracy, and autonomy. Further, it mentions the social implications such as equity, mental health, social interaction, assessment and feedback, and privacy and security. Lastly, it gives the policy implications and future research directions. 2026, IGI Global Scientific Publishing. All rights reserved. -
AI-Based Real-Time Class Engagement Emotions Monitoring System
This chapter introduces an AI-based system for real-time monitoring of student engagement by analyzing emotional responses and attention levels during classroom sessions. Using a camera placed in front of students, the system applies computer vision algorithms to detect focus and distraction through eye movements and facial expressions. The core of the system is the Emo-Engage Analysis framework, which classifies engagement into three levels based on eye retention, duration of attentiveness, and indicators of positive emotional response. Drawing on recent research in emotional and attentional regulation, this method offers a fine-grained analysis of student engagement. Aggregated engagement data allow instructors to assess both individual and group dynamics throughout a lesson. These insights support the evaluation of teaching strategies and provide meaningful feedback on instructional impact, helping educators adapt their methods to foster more effective and emotionally supportive learning environments. 2026, IGI Global Scientific Publishing. All rights reserved. -
AI and Data Science: Transforming the Education Landscape
Artificial Intelligence (AI) and Data Science are revolutionizing the education landscape by providing innovative solutions for personalized learning, assessment, and administration. AI algorithms analyze vast amounts of educational data to identify student learning patterns, enabling tailored learning experiences that cater to individual needs. With predictive analytics, educators can identify at-risk students early, allowing for timely intervention and support. Moreover, AI-powered tools help streamline administrative tasks, freeing up teachers to focus more on instruction and less on paperwork. Data science also enables institutions to assess curricular effectiveness, ensuring continuous improvement of programs. As AI technologies evolve, they hold the potential to create a more engaging, adaptive, and efficient learning environment for all students, regardless of their backgrounds. 2026, IGI Global Scientific Publishing. All rights reserved. -
Blockchain for seamless and transparent smart hospitality operations
This chapter explores how blockchain technology is transforming the hospitality industry by enhancing data transparency, operational efficiency, and security. It highlights blockchain's role in securing payments, bookings, supply chains, and guest authorization processes. Through smart contracts and tamper-proof records, blockchain combats fraud and ensures compliance with regulatory standards. The chapter examines real-world use cases such as loyalty platforms that boost customer retention and brand trust. Despite challenges in scalability, operations, and regulations, leading hospitality firms have achieved improved guest interactions through blockchain integration. This chapter provides insights into safely adopting blockchain for hotel management, emphasizing its potential to build trust, streamline operations, and align with smart infrastructure systems. 2026, IGI Global Scientific Publishing. -
Advancing Supply Chain and Logistics With Emerging Technologies
Abstract The digital era is transforming industries, requiring businesses to innovate for cost- efficiency and scalability. This chapter explores emerging technologies like cloud computing, AI, automation, blockchain, and IoT across healthcare, retail, finance, and logistics. It examines digital transformation's impact on traditional business models, industry trends, and strategies for adaptation. Technology integration enhances competitive advantage through big data analytics, digital marketing, and continuous innovation. Sector- specific insights cover IoT and blockchain in supply chains, AI diagnostics in healthcare, omnichannel retail, and digital finance solutions. The chapter provides recommendations for fostering innovation, investing in technology, and forming digital partnerships. Concluding with key takeaways and a future outlook, it serves as a resource for executives, entrepreneurs, and industry professionals navigating digital transformation for efficiency. 2026 by IGI Global Scientific Publishing. All rights reserved. -
The Impact of Cost- Efficient Market Entry Strategies on the Growth and Sustainability of Digital Startups in Emerging Markets
In emerging markets, digital startups face numerous challenges related to market entry, including financial constraints, regulatory hurdles, and competitive pressures. Cost- efficient market entry strategies play a pivotal role in determining the growth trajectory and long- term sustainability of these startups. This chapter explores various cost- effective approaches such as bootstrapping, lean startup methodology, strategic partnerships, and digital- first go- to- market strategies. By examining realworld case studies and industry insights, this chapter highlights the impact of these strategies on startup growth and sustainability. Overall, this research contributes to the growing discourse on sustainable entrepreneurship by offering practical insights into scalable, cost- efficient business models. By identifying key enablers of success for digital startups in emerging markets, this study provides valuable recommendations for entrepreneurs, policymakers, and investors aiming to drive innovation and economic development in resource- constrained environments. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Intrusion detection system in a software- defined network
Software Defined Network (SDN) provides a solution to traditional network architecture's drawbacks, where closed equipment like switches and routers have tightly coupled hardware and software. SDN allows the creation of virtual networks controlled by software, providing benefits like rapid topology creation, enhanced security and performance isolation for different traffic types. It offers networking and management opportunities with programmability and flexibility by operating on a centralized control plane, separating data and control planes. The centralized controller, directs information flow through the interfaces to network elements. Despite advantages, SDN faces security threats like DoS attacks and intrusions. One of SDN's most promising aspects is its potential to enhance network security through Intrusion Detection Systems (IDS). IDS integration within SDN enables effective threat detection to safeguard devices and data. The chapter briefly outlines IDS implementation in SDN and demonstrates SDN's capacity to revolutionize modern network management and security. 2026, IGI Global Scientific Publishing. All rights reserved. -
Behavioral analysis of malicious activities in AI comprehensive analysis
The chapter provides a detailed overview of behavioral analysis evolved in AI security systems, from rule- based methods to advanced AI- driven approaches with verified threat prediction accuracy. Finance, healthcare, and telecommunications sectors show empirical evidence of modern systems by processing huge data volumes with exceptional threat detection capabilities. Research from Microsoft, IBM, and Google confirms AI- enabled security significantly reduces the time of threat identification compared to traditional approaches. The technical analysis reveals cloud-n ative solutions offer greater cost- efficiency and performance than on-premise alternatives, with measurable ROI improvements. The study examines behavioral analysis integration with machine learning, advanced persistent threat detection challenges, implementation strategies across different organizational contexts, and ethical considerations essential for developing effective security systems. 2026, IGI Global Scientific Publishing. All rights reserved. -
The Dark Side of Personalisation: Biases, Filter Bubble, and Impact on Advertising Effectiveness
This book chapter critically examines the intersection of personalized marketing, algorithmic bias and the need for inclusive marketing. Drawing on real-world examples from the beauty industry, ride-hailing services, food delivery platforms and OTT streaming services, it highlights how personalization reinforces existing biases. The black box models are inherently based on faulty data perpetuating discrimination for minority groups. Although machine learning systems deliver highly accurate, they fail to understand deeply rooted biases. The book chapter advocates for human centered AI, regular audits, serendipitous recommender systems and adoption of ethical and transparent frameworks. By integrating human judgment with AI technologies, marketers can foster inclusive and fair personalized marketing. 2026, IGI Global Scientific Publishing. All rights reserved. -
An introduction to design-based research
Design-Based Research (DBR) is an innovative methodology aimed at bridging the gap between theory and practice in educational settings. It emphasizes the iterative design and testing of interventions or educational innovations in real-world contexts, allowing researchers to collaboratively address complex problems in teaching and learning. Unlike traditional research methods that often focus solely on experimental or statistical analyses, DBR fosters a collaborative environment where educators, researchers, and stakeholders jointly engage in the design process. One of the core principles of DBR is its focus on understanding and enhancing learning processes, rather than merely measuring outcomes. By prioritizing collaboration and context, DBR offers valuable insights that can lead to scalable and impactful educational practices. Ultimately,Design-Based Research serves as a powerful tool for educators and researchers looking to innovate within the complex landscape of education, fostering a deeper understanding of how design can enhance learning experiences. 2025 by IGI Global Scientific Publishing. -
The Shift towards a Green Economy: Addressing the Sustainability Challenges of Technological Transformation
The Green Economy is a progressive framework for development and growth that promotes economic progress along with environmental stability, as well as prioritizing people's needs in their social life. It is also crucial operational tool to apply the de-growth notion, to promote development and clean technologies. The Chapter stresses the interest of sustainable technology development and calls for formal decision-makers and society actors to be aware about bottlenecks in this field. Five interconnected challenges structure discussions: uncertainty about green capitalism and subjects responsible state interventions to shape optimal mixes (the mix problem); and distributional issues. The chapter suggests that the `inter-connected' dimension of sustainable technological development brings into question traditional approaches to a relationship between private enterprise and successful innovation. It also highlights the importance of understanding and utilizing effective policy tools in varying institutional context, while raising a research agenda for further investigation. 2026, IGI Global Scientific Publishing. All rights reserved. -
Innovative implementation, ethical challenges, and future prospects of artificial intelligence in pharmaceuticals
Incorporation of pharmaceutical industry and artificial intelligence (AI) is revolu-tionizing patient care, drug development, and discovery. Drug interactions have been predicted using machine learning techniques, optimal molecular structures have been designed, and clinical trial lengths have been reduced. Ethical problems including violations of data privacy, biassed algorithms, and unequal access to AI-informed treatments have been highlighted in the face of these technologies Reacting to these problems, regulatory models have been debated and passed. It is well known that artificial intelligence can drive therapeutic developments and customize medicine. One expects continuous innovations in artificial intelligence technologies to change the pharmaceutical industry. Ethical standards must be reinforced and openness kept if artificial intelligence is to be fully embraced. Innovation must guide newly developing projects. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Regulating the Rise of Transformers in Global Healthcare: A Legal and International Law Perspective on AI Governance, Ethics, and Data Protection
With advances in healthcare, GPT, BioGPT and MedPaLM are helping doctors diagnose better, choose better treatments and engage with patients. Yet, these uses bring up significant problems related to privacy, understanding what the algorithms do, who is responsible for actions and gaining agreement. The paper examines global regulation on AI-for example, GDPR, HIPAA, India's DPDP Act, OECD AI Principles and UNESCO's AI Ethics Recommendation-and points out where gaps still exist, mainly in places with lower and middle incomes. Using both comparative studies and a focus on policies, it proposes common standards, specially designed rules for AI liability and ways to test ethical considerations. To provide secure, clear and equal use of AI in healthcare markets, the study proposes that countries come together to govern the technology. 2026, IGI Global Scientific Publishing. All rights reserved.