Level Up Your Learning: The Power of Gamification
In a world overflowing with information and distractions, traditional methods of learning often fall short in engaging and motivating individuals to master new skills. The book Level Up Your Learning: The Power of Gamification explores the captivating intersection of gamification and learning, revealing how incorporating game design principles can revolutionize the way we learn. Embark on a journey that uncovers the dynamic fusion of learning and gamification. Discover how this innovative approach can not only enhance your learning experience but also ignite your intrinsic motivation to tackle even the most complex subjects. Step into the shoes of a game designer as you master the art of crafting gamified learning experiences. This book takes you through the process of creating a captivating learning module, from setting clear learning objectives to strategically implementing badges, points, and narratives. Unearth the secrets to fostering healthy competition and collaboration among learners, while catering to diverse learning styles. Backed by studies and real-world outcomes, understand how gamification not only improves knowledge acquisition but also nurtures crucial skills like problem-solving, critical thinking, and decision-making. Whether you're an educator seeking to captivate your students or a lifelong learner aiming to enhance your skills, this book offers the insights and tools you need to unleash the potential of gamified learning. 2024 by Nova Science Publishers, Inc. All rights reserved.
Level Up Your Learning: The Power of Gamification, pp. 1-117.
https://doi.org/10.52305/UIFH5384 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190464764&doi=10.52305%2fUIFH5384&partnerID=40&md5=10e167d95797a9fa6d5f84bda092768f
Mathew J., School of Business and Management, CHRIST University, Bangalore, Karnataka, India; Nair S., School of Business and Management, CHRIST University, Bangalore, Karnataka, India
Principles and clinical interventions in social cognition
There are a plethora of questions experts are asking surrounding the intersection of clinical intervention practices with social cognition. How do neuro-cognitive processes shape social understanding? What experimental methods illuminate social cognitive complexities? How can social cognition be applied practically in clinical contexts and psycho-social rehabilitation? How does social cognition influence decision-making and cross-cultural perspectives? To find the answers to these concerns, researchers can now look to Principles and Clinical Interventions in Social Cognition, a research book which delves into recent advances, practical applications, and future trajectories within the intricate relationship between social processes and cognitive mechanisms. It adopts a unique structure, each chapter offering a concise introduction to a specific aspect of social cognition. From foundational principles to applications in clinical interventions and individual well-being, it covers neuro-cognitive processes, experiments, and social cognition in various clinical and health conditions. This book stands out for its emphasis on the practical applications of social cognition in interventions and rehabilitation for clinical populations. By addressing the intersection of social psychology and cognition, it provides actionable insights and potential solutions to the complex challenges in the field. The content spans a broad spectrum, including attention and perception, affect, motivation, behavior, learning, memory, language, decision-making, attitudes, prejudice, stereotyping, theory of mind, self, and others. The interdisciplinary nature of this book makes it an authoritative resource for professionals, researchers, and students in psychology, neuropsychology, cognitive psychology, cognitive neuroscience, social work, sociology, management, allied health sciences, and other areas of social science. By offering a blend of historical context, cognitive processes, social behavior, and real-world applications, this book bridges gaps and offers a holistic understanding of social cognition. 2024 by IGI Global. All rights reserved.
Principles and Clinical Interventions in Social Cognition, pp. 1-453.
https://doi.org/10.4018/9798369312650 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190920160&doi=10.4018%2f9798369312650&partnerID=40&md5=8ed28363b5ad8c3171a2073fa2ce0f2f
Effective and Meaningful Student Engagement Through Service Learning
A paradigm shift is underway in education, challenging traditional teaching methods and calling for a more engaging and purposeful approach. It is necessary to explore how service learning empowers students to address real-world issues, fostering critical thinking, creativity, collaboration, and communication skills essential for the 21st century. Effective and Meaningful Student Engagement Through Service Learning is a comprehensive exploration of the transformative power of service learning in contemporary education. Within this text, seasoned researchers and practitioners delve into the intricacies of student engagement, emphasizing the importance of active involvement in the learning process. This book opens with a reflection on education, where traditional practices give way to innovative pedagogies. This includes a new pedagogical approach that not only imparts knowledge but also cultivates socially responsible citizens. The book provides a rich tapestry of theoretical foundations, curriculum development strategies, and innovative pedagogical approaches that move beyond passive learning. From evaluating the impact of service learning to incorporating technology and measuring learning outcomes, each chapter offers theoretical frameworks, practical experiments, and real-life examples for educators, administrators, and policymakers. The book addresses the challenges and barriers to achieving meaningful student engagement, proposing practical solutions and recommendations. It emphasizes the role of service learning in building reciprocal relationships with communities and fostering inclusivity. Case studies and best practices from diverse educational settings showcase the effectiveness of different approaches to student engagement. The diverse audience within and beyond the education sector, including students, faculty members, parents, policymakers, NGOs, and community organizations, will find within the pages of this book valuable insights and tools to create more effective and meaningful learning experiences. The book covers a broad spectrum of topics, from the institutionalization of service learning to motivations for sustainable engagement, making it an indispensable resource for anyone passionate about shaping the future of education. 2024 by IGI Global. All rights reserved.
Valarmathi S.; Tantia V.; Kareem J.; Babu K.S.; Lucas P.J.
Effective and Meaningful Student Engagement Through Service Learning, pp. 1-311.
Valarmathi S., Christ University, India; Tantia V., Christ University, India; Kareem J., Christ University, India; Babu K.S., Christ University, India; Lucas P.J., Christ University, India
Digital technologies in modeling and management: Insights in education and industry
Digital Technologies in Modeling and Management: Insights in Education and Industry explores the use of digital technologies in the modeling and control of complex systems in various fields, such as social networks, education, technical systems, and their protection and security. The book consists of two parts, with the first part focusing on modeling complex systems using digital technologies, while the second part deals with the digitalization of economic processes and their management. The book results from research conducted by leading universities' teaching staff and contains the results of many years of scientific experiments and theoretical conclusions. The book is for a wide range of readers, including the teaching staff of higher educational institutions, graduate students, students in computer science and modeling, and management technologies, including economics. It is also a valuable resource for IT professionals and business analysts interested in using digital technologies to model and control complex systems. 2024 by IGI Global. All rights reserved.
Prakasha G.S.; Lapina M.; Balakrishnan D.; Sajid M.
Digital Technologies in Modeling and Management: Insights in Education and Industry, pp. 1-427.
Prakasha G.S., Christ University, India; Lapina M., North-Caucasus Federal University, Russian Federation; Balakrishnan D., Prince Mohammad Bin Fahd University, Saudi Arabia; Sajid M., Aligarh Muslim University, India
Exploring the ethical implications of generative AI
Generative Artificial Intelligence (AI), an ever-evolving technology, holds immense promise across various industries, from healthcare to content generation. However, its rapid advancement has also given rise to profound ethical concerns. Illicit black-market industries exploit generative AI for counterfeit imagery, and in educational settings, biases and misinformation perpetuate. These issues underscore the need to grapple with the risks accompanying generative AI integration. Exploring the Ethical Implications of Generative AI emerges as a wellspring of insight for discerning academic scholars. It sets the stage by acknowledging generative AI's multifaceted potential and its capacity to reshape industries. The book addresses these complex ethical concerns, offering a comprehensive analysis and providing a roadmap for responsible AI development and usage. Its intended audience spans business leaders, policymakers, scholars, and individuals passionate about the ethical dimensions of AI. The book's objective is a twofold mission: to identify and dissect the ethical challenges inherent in generative AI while prescribing practical guidelines for its responsible development and utilization. By amalgamating the current research landscape, it aims to provide a comprehensive view of the field. Furthermore, the book introduces a set of practical guidelines that can serve as a guiding light for developers and users in diverse contexts, including workplaces, media, healthcare, education, and the military. By comprehensively addressing issues like bias, privacy, misuse, accountability, and responsibility, this book becomes the definitive guide for academic scholars navigating the ethical dilemmas of generative AI, ultimately safeguarding the responsible evolution of this groundbreaking technology. 2024 by IGI Global. All rights reserved.
Exploring the Ethical Implications of Generative AI, pp. 1-295.
Ara A., University of Hail, Saudi Arabia; Ara A., Department of Computer Science, Christ College, Bangalore, India
Industry automation: The technologies, platforms and use cases
This book details cutting-edge technologies, versatile tools, adaptive processes, integrated platforms, and best practices of digitized systems. With the faster maturity and stability of digitization and digitalization technologies, all kinds of physical, mechanical, and electrical systems in our everyday environments (homes, hotels, hospitals, manufacturing floors, etc.) have become digitized systems. Such technology has empowered systems to gain the power to join and contribute to fulfilling the goals of modern computing. Such digitized entities assist in producing and deploying hugely complicated yet sophisticated context-aware services and applications. The other principal contribution is capturing environmental data in real time and enabling local data processing to bring forth actionable insights. This facilitates insight-driven decisions and deeds. Precisely speaking, the aspects of real-time knowledge discovery and dissemination enable the creation and delivery of real-time and real-world features and functionalities. All industrial artifacts are being digitized, connected and empowered to be cognitive in their operations, offerings and outputs. By smartly leveraging a dazzling array of digital technologies and tools, the interaction and collaboration with human experts becomes hugely simplified and speeded up considerably. Such cognition- enabled industrial machineries, equipment, appliances, assembly lines, robots, vehicles, drones, and other assets collectively provide an intelligent environment to envisage and realize state-of-the-art industry 4.0 and 5.0 applications. Every industrial process gets optimized and automated to produce next-generation products to ensure customer delight, to explore fresh avenues to enhance revenues and to embark on higher productivity. In addition, there are chapters illustrating industrial use cases, infrastructure optimization, technology assimilation, and AI-powered data analytics towards industry automation. 2024 River Publishers. All rights reserved.
Industry Automation: The Technologies, Platforms and Use Cases, pp. 1-394.
Raj P., Edge AI Division, Reliance Jio Platforms Ltd, Bangalore, India; Kumar A., Chandigarh University, Punjab, India; Kumar A., IFET College of Engineering, Tamil Nadu, India; Singhal N., Christ University, Central Campus, Bangalore, India
Enhancing curricula with service learning models
In today's digital age, technological advancements permeate every sector, especially higher education. However, higher education must go beyond merely integrating AI into the curriculum. Additionally, it needs to prioritize educating students about societal issues. Integrating service learning into higher education curriculums, however, is a significant challenge facing schools today. There is a need for comprehensive research on its effectiveness and guidance on institutionalizing it effectively. This hampers its potential to foster civic engagement and social responsibility among students. With clear strategies and best practices, institutions can implement service learning programs that benefit all stakeholders. Enhancing Curricula with Service Learning Models provides a comprehensive blend of theoretical frameworks, practical experimentation, and real-world examples to guide educators, administrators, and policymakers in fostering profound student engagement. It emphasizes the role of emerging educational paradigms, like service-learning, in instilling a sense of civic duty and purpose in students. By enriching the educational dialogue with an emphasis on the pivotal role of student engagement in creating transformative and purposeful learning experiences, this book empowers educators and institutions to create impactful and sustainable programs. To ensure that educators and stakeholders are equipped with the knowledge and tools necessary to cultivate environments that encourage active student participation, Enhancing Curricula with Service Learning Models provides practical guidance on building effective tri-party relationships between community partners, academia, and students. By offering a meta-analysis of service learning practices, this book is a valuable resource for institutions looking to enhance their academic quality and community engagement. 2024 by IGI Global. All rights reserved.
Valarmathi S.; Kareem J.; Tantia V.; Babu K.S.; Lucas P.J.
Enhancing Curricula with Service Learning Models, pp. 1-328.
Valarmathi S., Christ University, India; Kareem J., Christ University, India; Tantia V., Christ University, India; Babu K.S., Christ University, India; Lucas P.J., Christ University, India
Future of customer engagement through marketing intelligence
In the competitive world of contemporary business, the challenge of developing marketing strategies that bridge the gap between traditional and innovative techniques has become more critical than ever. As marketing shifts between physical and digital realms, companies grapple with the central question of how to navigate this evolution successfully. The key lies in data - the linchpin that can unravel vital problems in modern marketing. The need for sustainable and effective marketing strategies permeates all sectors, emphasizing the urgency for businesses to combine traditional methods with innovative approaches, such as harnessing alternative data and leveraging AI-based solutions. Future of Customer Engagement Through Marketing Intelligence emerges as a compelling solution to the pressing challenges faced by businesses in this transformative landscape. It offers a step-by-step roadmap, guiding readers on how market intelligence can utilize data and transform it into actionable insights. By emphasizing the crucial role of data in crafting great marketing strategies, the book advocates for a deep understanding of market-supported content and factual data. It asserts that marketing intelligence, encompassing data collection, analysis, and strategic utilization, is the key to becoming customer-centric, understanding market demands, and gaining a competitive advantage. Designed with a comprehensive and practical approach, the book's objectives align with addressing the emerging trends and challenges in customer engagement driven by marketing intelligence. It caters to a diverse audience, including marketing professionals, data analysts, business leaders, academics, researchers, consultants, technology developers, and policymakers. By delving into various topics, from AI-driven customer experiences to the application of advanced technologies like text mining and blockchain, the book serves as a valuable resource for navigating the evolving landscape of customer engagement and marketing intelligence. Ultimately, it stands as a beacon, illuminating the path toward sustainable and responsible customer engagement strategies in the ever-evolving world of marketing. 2024 by IGI Global. All rights reserved.
Sinha M.; Bhandari A.; Priya S.S.; Kabiraj S.
Future of Customer Engagement Through Marketing Intelligence, pp. 1-286.
Sinha M., Christ University, India; Bhandari A., Presidency University, India; Priya S.S., Lal Bahadur Shastri Institute of Management, India; Kabiraj S., He University of Applied Sciences, Finland
Cognitive behavioral neuroscience in organizational settings
In a world characterized by constant changes, organizations grapple with the complex task of understanding and enhancing human behavior within their ranks. The burgeoning interest in cognitive behavioral neuroscience (CBN) for unraveling the intricacies of organizational dynamics has paved the way for a groundbreaking shift. However, the application of CBN in Human Resource Development and Management (HRDM) remains in its infancy, creating a void between scientific inquiry and practical implementation. As organizations yearn for evidence-based strategies to enhance talent identification, team selection, training, and overall performance, a critical need emerges for a comprehensive guide that bridges this gap. Cognitive Behavioral Neuroscience in Organizational Settings is a groundbreaking book that illuminates the unexplored territory of CBN in HRDM. Positioned as a catalyst for change, this comprehensive guide serves as the linchpin connecting theoretical foundations with real-world applications. Seamlessly navigating through the basics of neuroscience, the anatomy and functions of the brain, and the role of neuroscience in organizational behavior, establishes the groundwork for a new academic discipline. By delving into higher cognitive processes, artificial intelligence integration, neuroscience methods, and CBN-based interventions, the book offers a roadmap to revolutionize how organizations understand, manage, and enhance their human capital. This book is not just a scholarly exploration; it is a call to action. For academic scholars seeking to contribute to the evolution of CBN in HRDM, this is a unique opportunity to be at the forefront of a transformative movement. Pioneering the integration of innovative neuroscience techniques, artificial intelligence, and practical interventions, this guide empowers scholars to actively shape the future of organizational development. 2024 by IGI Global. All rights reserved.
Cognitive Behavioral Neuroscience in Organizational Settings, pp. 1-331.
Reddy K.J., Christ University, India; Alfonso T., Christ University, India
Improving service quality and customer engagement with marketing intelligence
To succeed, businesses must keep up with the ever-changing technological landscape and constantly introduce new advancements. The rise of digitalization has wholly transformed how companies interact with their customers, presenting both opportunities and challenges. Marketing professionals are inundated with data and need guidance on leveraging it effectively to craft successful marketing strategies. Additionally, the ethical and privacy concerns surrounding the collection and use of customer data make the marketing landscape even more complex. Improving Service Quality and Customer Engagement With Marketing Intelligence is a groundbreaking book that offers a comprehensive solution to these challenges. This book is a must-read for marketing professionals, business owners, and students, providing a practical guide to navigating the digital age. It explores the impact of digitalization on marketing practices. It offers insights into customer behavior, equipping readers with the knowledge and skills needed to thrive in today's competitive market. The book's interdisciplinary approach integrates insights from marketing, technology, data science, and ethics, giving readers a holistic understanding of marketing intelligence. With its timely and practical approach, Improving Service Quality and Customer Engagement With Marketing Intelligence is a valuable resource for anyone seeking to enhance their marketing efforts in the digital age. It features best practices, case studies, and step-by-step guides, empowering readers to make informed decisions prioritizing customer satisfaction and engagement. Reading this book will help you stay ahead of the curve and drive success in today's dynamic marketing landscape by bridging the gap between academia and industry. 2024 by IGI Global. All rights reserved.
Improving Service Quality and Customer Engagement With Marketing Intelligence, pp. 1-393.
AI-driven decentralized finance and the future of finance
In the evolving landscape of finance, traditional institutions grapple with challenges ranging from outdated processes to limited accessibility, hindering the industry's ability to meet the diverse needs of a modern, digital-first society. Moreover, as the world embraces Decentralized Finance (DeFi) and Artificial Intelligence (AI) technologies, there becomes a need to bridge the gap between innovation and traditional financial systems. This disconnect not only impedes progress but also limits the potential for financial inclusion and sustainable growth. AI-Driven Decentralized Finance and the Future of Finance addresses the complexities and challenges currently facing the financial industry. By exploring the transformative potential of AI in decentralized finance, this book offers a roadmap for navigating the convergence of technology and finance. From optimizing smart contracts to enhancing security and personalizing financial experiences, the book provides practical insights and real-world examples that empower professionals to leverage AI-driven strategies effectively. With a focus on regulatory challenges, ethical considerations, and emerging trends, this book teaches individuals and organizations how to harness the power of AI in finance. By fostering interdisciplinary collaboration and offering forward-thinking perspectives, the book equips readers with the knowledge and tools needed to navigate the complexities of the digital age. Through this comprehensive exploration, AI-Driven Decentralized Finance and the Future of Finance not only offers solutions to current challenges but also paves the way for a more inclusive, sustainable, and innovative future for finance. 2024 by IGI Global. All rights reserved.
Irfan M.; Elmogy M.; Gupta S.; Khalifa F.; Dias R.T.
AI-Driven Decentralized Finance and the Future of Finance, pp. 1-426.
Irfan M., School of Business and Management, Christ University, Bengaluru, India; Elmogy M., Information Technology Department, Faculty of Computers and Information, Mansoura University, Egypt; Gupta S., Universal AI University, India; Khalifa F., Morgan State University, United States; Dias R.T., Polytechnic Institute of Setubal, Portugal
Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications
This book offers an in-depth look at Industry 4.0's applications and provides a conceptual framework for design principles and easy implementation. The book touches on the impact of Industry 4.0 and also examines the key technological advances and potential economic and technical benefits through case studies featuring real-world implementations. Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications discusses the impact of Industry 4.0 and workforce transformation. The book examines the key technological advances that support Industry 4.0 and examines their potential economic and technical benefits through case studies. It covers the connection Industrial 4.0 has with IT and communication technologies and demonstrates the technological advancements and how to use their benefits towards and through examples of real-world applications. This book offers a conceptual framework and road map for those making decisions as they go through the next stage of transformation. This book mainly targets academicians, professionals, business professionals, start-up companies, and researchers at undergraduate, postgraduate, and doctoral levels. 2025 selection and editorial matter, Sagaya Aurelia and Ossama Embarak. All rights reserved.
Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications, pp. 1-407.
Aurelia S., CHRIST University, India; Embarak O., Heriot-Watt University, United Kingdom
Intersection of AI and business intelligence in data-driven decision-making
In today's rapidly evolving business landscape, organizations are inundated with vast amounts of data, making it increasingly challenging to extract meaningful insights and make informed decisions. The traditional business intelligence (BI) approach must often address the complexity and speed required for effective decision-making in this data-rich environment. As a result, many businesses need help to leverage their data to drive sustainable growth and remain competitive. Intersection of AI and Business Intelligence in Data-Driven Decision-Making presents a transformative solution to this pressing challenge. By exploring the convergence of artificial intelligence (AI) and BI, our book provides a comprehensive framework for leveraging AI-powered BI to revolutionize data analysis, predictive modeling, and decision-making processes. Readers will gain valuable insights into practical applications, emerging trends, and ethical considerations, inspiring and exciting them about the potential of AI in driving business success. Through in-depth discussions, case studies, and best practices, this book equips professionals, researchers, and students with the knowledge and tools needed to navigate the complexities of AI-powered business intelligence. Whether you're looking to predict trends, analyze consumer behavior, or optimize supply chains, this book offers actionable strategies and techniques for implementing AI-powered BI solutions in your organization. 2024 by IGI Global. All rights reserved.
Natarajan A.K.; Galety M.G.; Iwendi C.; Das D.; Shankar A.
Intersection of AI and Business Intelligence in Data-Driven Decision-Making, pp. 1-486.
Natarajan A.K., Samarkand International University of Technology, Uzbekistan; Galety M.G., Samarkand International University of Technology, Uzbekistan; Iwendi C., University of Bolton, United Kingdom; Das D., Christ University, India; Shankar A., University of Warwick, United Kingdom
Strategic teaching in the hybrid classroom: Pedagogical wellness
This book is a comprehensive guide designed to equip educators with the knowledge and strategies needed to explore the evolving landscape of hybrid education. This indispensable resource emphasizes the integration of wellness into educational practices, ensuring that both educators and students thrive in supportive and nurturing environments. Structured into carefully written evidence-based chapters, this book provides a blend of theoretical perspectives as well as practical strategies. This book begins by tracing the evolution and importance of hybrid teaching, emphasizing a flexible, student-centered, and wellness-oriented approach. Educators will find detailed guidance on designing and implementing engaging hybrid learning experiences that leverage technology to enhance interaction and learning. Key topics include fostering collaboration and community within hybrid classrooms, promoting digital literacy among educators, and addressing the critical aspects of diversity, equity, and inclusion. This book also highlights the future trends in hybrid education, such as gamification and learning analytics, and offers strategies for continuous professional development. By addressing both the logistical and human elements of teaching, "Strategic Teaching in the Hybrid Classroom" stands as a vital resource for educators, administrators, and policymakers. It advocates for dynamic, student-focused educational practices aligned with the realities of the 21st century, aiming to create an educational ecosystem where everyone can thrive. 2024 by Nova Science Publishers, Inc. All rights reserved.
Sathiyaseelan A.; Balasundaram S.; Kunnumpurath B.; Patangia B.
Strategic Teaching in the Hybrid Classroom: Pedagogical Wellness, pp. 1-330.
https://doi.org/10.52305/YNOF4243 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206234363&doi=10.52305%2fYNOF4243&partnerID=40&md5=9ac47502b4b48a4dab8bc10e0a6b20ec
Sathiyaseelan A., Department of Psychology, School of Social Sciences, Christ University, Bangalore, India; Balasundaram S., School of Business and Management, Christ University, Bangalore, India; Kunnumpurath B., Department of Media Studies, School of Humanities and Arts, Christ University, Bangalore, India; Patangia B., Department of Psychology, School of Social Sciences, Christ University, Bangalore, India
Inclusive business approaches in tourism: Stakeholder engagement
The link between inclusivity and sustainability transcends economic considerations, extending into various dimensions such as gender equality, accessibility, cultural sensitivity, and community engagement. These dimensions underline that inclusivity is central to how tourism interacts with societies and ecosystems. This understanding prompts stakeholders to broaden their perspectives and integrate diverse viewpoints to create a more balanced and resilient industry. A central theme running through the chapters is the essential role of inclusivity in achieving a sustainable tourism sector. As the industry evolves, so do the expectations of travelers and communities. This heightened awareness and connectivity era demands that tourism entities proactively adapt strategies to foster inclusivity. Whether by creating accessible infrastructure, respecting local cultures, or integrating fairness into business models, inclusivity emerges as a foundation for lasting sustainability. The chapters compiled in this book offer a comprehensive exploration of inclusive tourism and sustainable development. In the context of the evolving global tourism landscape, these chapters illuminate various facets that shape the industry's present and future trajectories. These chapters reveal common themes and key insights, highlighting the importance of proactive measures, collaboration, and innovation to establish a more inclusive, equitable, and sustainable tourism sector. A prominent revelation throughout these chapters is the interconnectedness of inclusivity and sustainability in tourism. It becomes increasingly evident that sustainable tourism cannot be achieved without an inclusive framework that embraces diverse communities, stakeholders, and perspectives. The chapters illustrate how sustainability efforts lacking inclusivity can lead to inequality and overlook crucial factors shaping destinations' social and environmental aspects. 2024 by Nova Science Publishers, Inc. All rights reserved.
Korstanje M.E.; Varghese B.; Chennattuserry J.C.; Elangovan N.
Inclusive Business Approaches in Tourism: Stakeholder Engagement, pp. 1-296.
https://doi.org/10.52305/UWPH4213 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206276886&doi=10.52305%2fUWPH4213&partnerID=40&md5=b11947c83299fa790882ea5b0c5f0f33
Korstanje M.E., University of Palermo, Palermo, Argentina; Varghese B., School of Business and Management, Christ University, Bangalore, Karnataka, India; Chennattuserry J.C., University of Palermo, Palermo, Argentina; Elangovan N., School of Business and Management, Christ University, Bangalore, Karnataka, India
HEALTH PSYCHOLOGY IN INTEGRATIVE HEALTH CARE
The 8th International Conference of Indian Academy of Health Psychology (ICIAHP 2023) gathered leading experts, researchers, and professionals to exchange insights and explore innovations in mental and physical well-being. Featuring workshops on trauma release, hypnotherapy basics, mindfulness-based CBT, and suicide prevention, ICIAHP offered a diverse learning experience. Distinguished speakers from national and international universities attended the conference. The conference catered to health psychology professionals, researchers, educators, and scholars. ICIAHP 2023 stood out for its comprehensive program, renowned speakers, and ample networking, providing a platform for holistic learning and collaboration. 2024 selection and editorial matter, Dr. Sundeep Katevarapu, Dr. Anand Pratap Singh, Dr. Priyanka Tiwari, Ms. Akriti Varshney, Ms. Priya Lanka, Ms. Aankur Pradhan, Dr. Neeraj Panwar, Dr. Kumud Sapru Wangnue; individual chapters, the contributors.
Katevarapu D.S.; Pratap Singh D.A.; Tiwari D.P.; Varshney M.A.; Lanka M.P.; Pradhan M.A.; Panwar D.N.; Sapru Wangnue D.K.
Health Psychology in Integrative Health Care, pp. 1-273.
Katevarapu D.S., American Psychiatric Association (APA), American Psychological Association, American Psychological Sciences, and British Psychological Society, United States; Pratap Singh D.A., Department of Psychology & Mental Health, Gautam Buddha University, India; Tiwari D.P., Head of Department, School of Behavioral and Social Sciences, Manav Rachna Institute of Research and Studies, India; Varshney M.A., Department of Clinical Psychology, Shanti Home KNEUS Hospital, India, Department of Psychology & Mental Health, Gautam Buddha University, Greater Noida, India; Lanka M.P.; Pradhan M.A.; Panwar D.N., Department of Psychology, School of Social Sciences, Christ (Deemed to be) University, India; Sapru Wangnue D.K., WE AVEC U Mental Health Organization, India
Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing
An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin-an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical systems behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AIs capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience: This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals. 2024 Scrivener Publishing LLC.
Tyagi A.K.; Tiwari S.; Arumugam S.K.; Sharma A.K.
Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing, pp. 1-585.
Tyagi A.K., Department of Fashion Technology, National Institute of Fashion Technology, New Delhi, India; Tiwari S., School of Computing Science and Engineering (SCSE), Galgotias University, Uttar Pradesh, Greater Noida, India; Arumugam S.K., Department of Professional Studies, Christ University, Bengaluru, India; Sharma A.K., Dept. of Computer Science and Engineering, Sharda University, Greater Noida, India
Artificial intelligence for blockchain and cybersecurity powered IoT applications
The objective of this book is to showcase recent solutions and discuss the opportunities that AI, blockchain, and even their combinations can present to solve the issue of Internet of Things (IoT) security. It delves into cuttingedge technologies and methodologies, illustrating how these innovations can fortify IoT ecosystems against security threats. The discussion includes a comprehensive analysis of AI techniques such as machine learning and deep learning, which can detect and respond to security breaches in real time. The role of blockchain in ensuring data integrity, transparency, and tamper-proof transactions is also thoroughly examined. Furthermore, this book will present solutions that will help analyze complex patterns in user data and ultimately improve productivity. 2025, Mariya Ouaissa, Mariyam Ouaissa, Zakaria Boulouard, Abhishek Kumar, Vandana Sharma and Keshav Kaushik. All rights reserved.
Ouaissa M.; Ouaissa M.; Boulouard Z.; Kumar A.; Sharma V.; Kaushik K.
Artificial Intelligence for Blockchain and Cybersecurity Powered IoT Applications, pp. 1-269.
Ouaissa M., Cadi Ayyad University, Marrakech, Morocco; Ouaissa M., Chouaib Doukkali University, El Jadida, Morocco; Boulouard Z., Department of Computer Sciences, Faculty of Sciences and Techniques Mohammedia, Hassan II University, Casablanca, Morocco; Kumar A., Computer Science and Engineering Department, Chandigarh University, Punjab, India; Sharma V., CHRIST (Deemed to be University), Delhi, India; Kaushik K., Amity School of Engineering and Technology, Amity University Punjab, India
Effects of suction-injection-combination (SIC) on the onset of Rayleigh-Benard magnetoconvection in a micropolar fluid
Magnetic field; Micropolar fluids; Rayleigh-Benard; Suction-injection-combination
The effects of suction-injection-combination (SIC) and magnetic field on the linear stability analysis of Rayleigh-Benard convection in a horizontal layer of an Boussinesq micropolar fluid is studied using a Rayleigh-Ritz techinque. The eigenvalues are obtained for free-free, rigid-free and rigid-rigid velocity boundary combinations with isothermal and adiabatic temperature conditions on the spin-vanishing boundaries. The eigenvalues are also obtained for lower rigid isothermal and upper free adiabatic boundaries with vanishing spin. The influence of various micropolar fluid parameters on the onset of convection has been analysed. It is found that the effect of Prandtl number on the stability of the system is dependent on the SIC being pro-gravity or anti-gravity. A similar Pe-sensitivity is found in respect of the critical wave number. It is observed that the micropolar fluid layer heated from below is more stable compared to the classical fluid layer. 2003 Elsevier Science Ltd. All rights reserved.
International Journal of Engineering Science, Vol-41, No. 15, pp. 1741-1766.
Pranesh S., Department of Mathematics, Christ College, Bangalore 560 029, Hosur Road, India
Impact of people management practices on organizational performance: Analysis of a causal model
Competence; Customer orientation; HR practices in software companies; HRM-performance linkage; Organizational commitment; Strategic human resource management; Teamwork
Although researchers in strategic human resource management have established a relationship between HRM practices and organizational performance, the intervening process connecting HRM system and organizational performance remains unexplored. This paper, based on a study on Indian software companies, is an attempt to develop and test a causal model linking HRM with organizational performance through an intervening process. The study has found that not even a single HRM practice has direct causal connection with organizational financial performance. At the same time, it has been found that each and every HRM practice under study has an indirect influence on the operational and financial performance of the organization. Further, HRM practices such as training, job design, compensation and incentives directly affect the operational performance parameters, viz., employee retention, employee productivity, product quality, speed of delivery and operating cost.
International Journal of Human Resource Management, Vol-14, No. 7, pp. 1246-1266.
Paul A.K., Department of Management Studies, Christ College, Bangalore 560 029, India; Anantharaman R.N., Industrial Management Division, Department of Humanities/Soc. Sci., Indian Institute of Technol. Madras, Chennai 600 036, India