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The foundation of any successful enterprise lies in a well-crafted IT strategy. In today's volatile economic climate, it is necessary to harmonize the exigencies of daily operations with the demands of future growth and development. As information technology continues to permeate every facet of our lives and industries, the nexus between entrepreneurship and innovation remains pivotal. Advanced Intelligence Systems and Innovation in Entrepreneurship delves deep into the intricate web that binds information technology (IT) strategy, advanced intelligence systems, and the dynamic landscape of entrepreneurship. Within these pages, experts dissect the anatomy of IT strategies, deciphering their critical role in achieving IT and business objectives. This book discusses intelligence systems, the very embodiment of artificial intelligence's transformative potential. These systems possess the capacity to perform tasks once reserved for human intelligence, making decisions, solving complex problems, and learning from data. Yet, the book does not shy away from addressing the thorny issues of employment, privacy, and security that accompany such profound technological shifts. This book underscores how futuristic technologies empower entrepreneurs to innovate sustainably, fostering business growth while safeguarding our environment. Entrepreneurs, in their quest for new and inventive products and services, wield information technology as a transformative tool. The need for organizational restructuring, aligned with the demands of these technologies, becomes evident, with case studies showcasing the impact of IT on entrepreneurial activities.This book is deal for scholars, researchers, students, industry professionals, entrepreneurs, intrapreneurs, educators, technologists, policymakers, and innovators.

The surge in enrollment for online courses is continually increasing. However, beneath the convenience lies a challenge that demands a resolution. Educators, administrators, and instructional designers must ensure that the human element is not lost in the virtual corridors of learning. Students with diverse backgrounds and learning needs require more than a simple virtual classroom. Research reveals a concerning trend: high attrition rates in online courses, often attributed to a lack of engagement and insufficient human interaction. To reverse this trend, deliberate measures must be taken to humanize the online learning environment. This book provides several solutions, offering an array of tools and strategies to promote engagement and infuse the human touch into online spaces. To confront this multi-layered challenge, it becomes paramount to undertake deliberate measures aimed at humanizing the online learning environment. Humanizing Online Teaching and Learning in Higher Education steps forward as a guide, offering an extensive array of tools and strategies meticulously crafted to foster student engagement and infuse the essential human touch into the digital educational landscape.

In today's educational field, to ensure students are prepared to make the transition from education to the workforce, students must develop skills that support them in the working world. Further research on these skills is required to assist learners moving forward. Preparing Students From the Academic World to Career Paths: A Comprehensive Guide provides a comprehensive guide to preparing minority and first-generation students to transition from the academic world into their chosen career path. The book also provides post-secondary educators and student support staff with suggestions to incorporate the recognition and development of transferrable skills in curriculum and advising. Covering key topics such as career readiness, minority students, and student success, this reference work is ideal for administrators, principals, researchers, scholars, academicians, practitioners, instructors, and students.

In today's educational field, to ensure students are prepared to make the transition from education to the workforce, students must develop skills that support them in the working world. Further research on these skills is required to assist learners moving forward. Preparing Students From the Academic World to Career Paths: A Comprehensive Guide provides a comprehensive guide to preparing minority and first-generation students to transition from the academic world into their chosen career path. The book also provides post-secondary educators and student support staff with suggestions to incorporate the recognition and development of transferrable skills in curriculum and advising. Covering key topics such as career readiness, minority students, and student success, this reference work is ideal for administrators, principals, researchers, scholars, academicians, practitioners, instructors, and students.

Empowering Women Through Microfinance in Developing Countries is a book that explores how microfinance can be used to empower women in developing countries. It provides theoretical and empirical insights from industry experts, experienced researchers, and policymakers on the problems, processes, and prospects of using microfinance as a catalyst for women's empowerment in the developing world. The book covers a range of topics, including the impact of microfinance interventions on women's empowerment, financial inclusion, and women's entrepreneurship, poverty reduction among women, and small and medium-sized enterprise growth. This book addresses the lack of understanding about how microfinance can be used to empower women in developing countries. The insights provided in this book will be valuable for researchers, students, microfinance institutions, policymakers, state institutions, managers, non-governmental organizations, and financial institutions looking to expand their product portfolio and outreach. The book also provides policy directions and rethinking of practice in using microfinance as a strategy for eliminating barriers to women's empowerment in developing countries.

Academics 4.0 has become increasingly crucial in recent times due to the impact of Industry 4.0 on various fields. The emergence of disruptive technologies and the cyber-physical world has underscored the need for experts in these areas, which requires proper training of students from an early stage. Education 4.0 is essential in preparing faculties and students adequately for this purpose. This approach shifts the focus from teaching to learning and employs blended learning, MOOC courses, and flipped classrooms to achieve better understanding and application of knowledge. The practical aspect of the subject is discussed in the classroom, while the theoretical aspect is taught outside the class. The book, Architecture and Technological Advancements of Education 4.0 , aims to explain the rationale, advantages, and features of Academics 4.0, explore assessment tools and techniques, and describe the national policy for bringing change in education. It also covers blended learning, MOOC courses, virtual labs, and mobile learning, with a focus on their benefits. The book will be useful for universities and educational entities that aim to follow Academics 4.0 in the education system, serve as a reference manual for research articles, and be helpful to faculties and academicians who wish to implement and assess online techniques. Additionally, it will be an excellent learning platform for providers and users of relevant domains, with a broad range of topics covering its impact on the education system, students, and workforce.

Academics 4.0 has become increasingly crucial in recent times due to the impact of Industry 4.0 on various fields. The emergence of disruptive technologies and the cyber-physical world has underscored the need for experts in these areas, which requires proper training of students from an early stage. Education 4.0 is essential in preparing faculties and students adequately for this purpose. This approach shifts the focus from teaching to learning and employs blended learning, MOOC courses, and flipped classrooms to achieve better understanding and application of knowledge. The practical aspect of the subject is discussed in the classroom, while the theoretical aspect is taught outside the class. The book, Architecture and Technological Advancements of Education 4.0 , aims to explain the rationale, advantages, and features of Academics 4.0, explore assessment tools and techniques, and describe the national policy for bringing change in education. It also covers blended learning, MOOC courses, virtual labs, and mobile learning, with a focus on their benefits. The book will be useful for universities and educational entities that aim to follow Academics 4.0 in the education system, serve as a reference manual for research articles, and be helpful to faculties and academicians who wish to implement and assess online techniques. Additionally, it will be an excellent learning platform for providers and users of relevant domains, with a broad range of topics covering its impact on the education system, students, and workforce.

Digital disintermediation, or the elimination of "middle-men" in a traditional market setting, has had profound effects on global economies. The rise of peer-to-peer networks and decentralized marketplaces has also led to some market destabilization, and the discussion on data sovereignty and privacy challenges raises concerns surrounding business in the digital age. Digital Technologies, Ethics, and Decentralization in the Digital Era is a research-based book which boldly tackles a myriad of ethical dilemmas, including bias, privacy, and inclusivity, and advocates for a future where digital access is fair and equitable. Academic scholars and industry professionals will embark on an enlightening journey through the digital revolution's transformative power. This book delves into the very core of digital technologies, shedding light on their role as catalysts for decentralization and de-globalization. Readers will gain invaluable insights into how these technologies disrupt established systems, paving the way for innovative alternatives. The exploration of blockchain and decentralized finance shines a light on how individuals and communities can harness technology to empower themselves, reshaping the dynamics of power in an increasingly interconnected world.

Picture a world where autonomous systems operate continuously and intelligently, utilizing real-time data to make informed decisions. Such systems have the potential to revolutionize agriculture, urban infrastructure, and industrial automation. This transformation, often termed the Internet of Self-Sustaining Systems (IoSS), is a pivotal topic that demands academic attention and exploration. Addressing this critical issue head-on is The Convergence of Self-Sustaining Systems With AI and IoT , which offers an in-depth examination of this transformative convergence. It serves as a guiding light for academic scholars seeking to unravel the vast potential of self-sustaining systems coupled with AI and IoT. Inside its pages, readers will delve into AI-driven autonomous agriculture, eco-friendly transportation solutions, and intelligent energy management. Moreover, the book explores emerging technologies, security concerns, ethical considerations, and governance frameworks. Join us on this intellectual journey and position yourself at the forefront of the AI and IoT revolution that promises a sustainable, autonomous future.

The interaction of various service models, including edge computing and cloud computing, are quickly changing to better support microservices. This intricate weave of technology and information sharing is necessary to build systems that run faster and more efficiently. The interplay between these computing methods and microservices is emerging as the field of Osmotic Computing. Experts can now embark on an intellectual journey into data-driven exploration and ingenuity with the guidance of the book, Advanced Applications in Osmotic Computing . As ethical considerations become rising concerns, the potential biases, privacy encumbrances, and equitable conundrums of osmotic computing are investigated. This book offers judicious strategies to navigate these quandaries conscientiously, adding a layer of responsibility to the discourse. Within these pages, the very fabric of understanding in IoT, Cloud, Edge, Fog, and Machine Learning is redefined, marking a pivotal shift in the paradigm of technological comprehension. This book is an epicenter for the latest evolutions in osmotic computing, unfurling unconventional methodologies that shape the trajectory of data-driven decision-making. Readers will plunge into the theoretical bedrock, simultaneously witnessing pragmatic applications that adeptly bridge the schism between the theoretical constructs and pragmatic realization. The intended audience is multifaceted, encompassing data scientists, machine learning engineers, researchers, academics, educators, students, industry practitioners, interdisciplinary experts, and technology and business leaders.

In today's educational landscape, a pressing issue looms: deeply entrenched within the system are the prevailing cultural norms that have historically perpetuated the dominance of white, middle-class values. This has, in turn, marginalized and stigmatized traditionally underrepresented student cultures as inherently deficient. As the United States educational system grapples with a dramatic increase in low-income, non-white, and linguistically diverse students, now is the time to confront these inequalities that undermine student achievement. This challenge has thrust teachers into the forefront, compelling them to embrace social justice practices in their classrooms as counternarratives. Supporting Activist Practices in Education emerges as a timely and essential solution to address this educational conundrum. Within the pages of this book, a compelling narrative unfolds-one that delves deep into the experiences of educators who actively employ teaching as a form of activism, transcending traditional norms. Teaching through activism, as defined in this volume, represents the courageous actions of educators who champion participatory citizenship for social justice within their classrooms, nurturing environments that foster critical thinking about the world. This book emphasizes the imperative of challenging and dismantling systemic injustices, and it underscores the pivotal role of social justice as a framework for effective pedagogical practices.

"This book seeks to understand the higher education landscape with the advent of generative AI. More importantly, it seeks to promote a culture of academic integrity in the face of unprecedented pressure to breach academic integrity by members of the academic community"--

In the world of academia, the divide between groundbreaking research and real-world impact has been a persistent challenge. Scholars, researchers, and academic inventors often find themselves grappling with the intricate process of turning their innovative ideas into tangible solutions that can benefit society, and also secure funding. This disconnect not only leads to the underutilization of valuable intellectual resources but also results in missed opportunities to address pressing societal issues. Moreover, technology transfer offices often struggle with knowledge disparities between inventors and managers, hindering the efficient commercialization of groundbreaking inventions. Converting Ideas to Innovation With Lean Canvas for Invention emerges as a beacon of hope, offering a transformative solution to this longstanding problem. This book introduces the Lean Canvas for Invention (LCI), an academic tool meticulously crafted to bridge the gap between academic research and real-world innovation. The LCI serves as a compass, guiding academic scholars through the complex journey from idea inception to successful commercialization. It equips researchers with the essential knowledge and strategies needed to identify societal problems, develop inventive solutions, secure grants, and navigate the intricate landscape of technology transfer.

The world is facing unprecedented environmental and social challenges that threaten our ability to achieve a sustainable future for all. Issues like climate change, resource depletion, and social inequality require urgent action, but technology, while a potential solution, also introduces new risks. Promoting Sustainable Management Through Technological Innovation offers a comprehensive solution by exploring the benefits and risks of technology, emphasizing ethical considerations, and providing insights and recommendations for policymakers, business leaders, and researchers to harness technological innovation for sustainability. This book contributes to the ongoing conversation around sustainable development by guiding policymakers in developing effective policies, assisting business leaders in implementing sustainable practices, and providing researchers with a comprehensive overview of current research. It serves as a valuable resource for academic scholars and professionals interested in the intersection of technology and sustainability. Policymakers can shape policies promoting sustainability, business leaders can integrate sustainable practices and innovation, researchers can gain insights for further investigation, and educators can utilize it in sustainability and technology courses. Overall, the book serves as a key reference, guiding readers toward responsible and effective solutions that leverage technology for a more sustainable future.

The application of genetic engineering techniques by redesigning and repurposing biological systems for novel biotechnical applications has paved the way for the field of synthetic biology. This field boosted the evolution and discovery of various novel technologies essential to the conquest of biological problems related to health, disease, the environment, and energy. The field of synthetic biology is growing rapidly, and further research is required. Applications of Synthetic Biology in Health, Energy, and Environment deliberates on principles and the advancement of synthetic biology and their translation in the fields of health, disease, energy, and the environment. Covering topics such as climate change, bioremediation, and smart drugs, this premier reference source is an excellent resource for students and educators of higher education, industrialists, medical professionals, hospital administrators, policymakers, environmental scientists, pharmacists, librarians, researchers, and academicians.

In the age of social media dominance, a staggering amount of textual data floods our online spaces daily. While this wealth of information presents boundless opportunities for research and understanding human behavior, it also poses substantial challenges. The sheer volume of data overwhelms traditional processing methods, and harnessing its potential requires sophisticated tools. Furthermore, the need for ensuring data security and mitigating risks in the digital realm has never been more pressing. Academic scholars, researchers, and professionals grapple with these issues daily, seeking innovative solutions to unlock the true value of multimedia data while safeguarding privacy and integrity. Recent Advancements in Multimedia Data Processing and Security: Issues, Challenges, and Techniques is a groundbreaking book that serves as a beacon of light amidst the sea of data-related challenges. It offers a comprehensive solution by bridging the gap between academic research and practical applications. By delving into topics such as deep learning, emotion recognition, and high-dimensional text clustering, it equips scholars and professionals with the innovative tools and techniques they need to navigate the complex landscape of multimedia data.

Meta-learning, or learning to learn, has been gaining popularity in recent years to adapt to new tasks systematically and efficiently in machine learning. In the book, Meta-Learning Frameworks for Imaging Applications , experts from the fields of machine learning and imaging come together to explore the current state of meta-learning and its application to medical imaging and health informatics. The book presents an overview of the meta-learning framework, including common versions such as model-agnostic learning, memory augmentation, prototype networks, and learning to optimize. It also discusses how meta-learning can be applied to address fundamental limitations of deep neural networks, such as high data demand, computationally expensive training, and limited ability for task transfer. One critical topic in imaging is image segmentation, and the book explores how a meta-learning-based framework can help identify the best image segmentation algorithm, which would be particularly beneficial in the healthcare domain. This book is relevant to healthcare institutes, e-commerce companies, and educational institutions, as well as professionals and practitioners in the intelligent system, computational data science, network applications, and biomedical applications fields. It is also useful for domain developers and project managers from diagnostic and pharmacy companies involved in the development of medical expert systems. Additionally, graduate and master students in intelligent systems, big data management, computational intelligent approaches, computer vision, and biomedical science can use this book for their final projects and specific courses.

Meta-learning, or learning to learn, has been gaining popularity in recent years to adapt to new tasks systematically and efficiently in machine learning. In the book, Meta-Learning Frameworks for Imaging Applications , experts from the fields of machine learning and imaging come together to explore the current state of meta-learning and its application to medical imaging and health informatics. The book presents an overview of the meta-learning framework, including common versions such as model-agnostic learning, memory augmentation, prototype networks, and learning to optimize. It also discusses how meta-learning can be applied to address fundamental limitations of deep neural networks, such as high data demand, computationally expensive training, and limited ability for task transfer. One critical topic in imaging is image segmentation, and the book explores how a meta-learning-based framework can help identify the best image segmentation algorithm, which would be particularly beneficial in the healthcare domain. This book is relevant to healthcare institutes, e-commerce companies, and educational institutions, as well as professionals and practitioners in the intelligent system, computational data science, network applications, and biomedical applications fields. It is also useful for domain developers and project managers from diagnostic and pharmacy companies involved in the development of medical expert systems. Additionally, graduate and master students in intelligent systems, big data management, computational intelligent approaches, computer vision, and biomedical science can use this book for their final projects and specific courses.

Governmental Power Market-Ing in the VU-CHAOS World is a thought-provoking book that explores the blended concepts of state governance, marketing, and management. This book offers a comprehensive examination of the dynamics and implications of governmental power in a rapidly changing world. Delve into this text to investigate the concept of government and its significance, as well as the rise of gerontocracy, where the elders exert influence over the state game, both in theory and practice. Further chapters explore topics such as the hidden agenda behind the development of government in governmental power marketing theory, the sources and status of government, strategies, and behavior of governments as buyers. The influences that shape governmental buying behavior and the implications for controlling governmental power are also examined. Readers will gain insights into future trends in government theory and practice, including strategic approaches for stateless players and net states. Case studies and comparative applications offer real-world examples and practical implications. Governmental Power Market-Ing in the VU-CHAOS World is an essential resource for academics, researchers, policymakers, and anyone interested in understanding the complex interplay between governmental power and market dynamics in today's evolving global landscape.

In our contemporary era, while diversity is acknowledged, true inclusion remains an elusive goal, as society grapples with multifaceted challenges. The "great resignation" and movements like #MeToo have exposed workplace culture issues, while events like Black Lives Matter protests underscored glaring disparities. Simultaneously, rapid technological advancements introduce new risks, from cyber exploitation to biased AI. These complexities demand innovative solutions that address these challenges, fostering environments of genuine respect, understanding, and collaboration. Applied Research Approaches to Technology, Healthcare, and Business , edited by Dr. Darrell Norman Burrell, emerges as a transformative force. This dynamic anthology presents insights, research, and actionable recommendations from diverse fields and perspectives, taking an interdisciplinary approach to unravel workplace dynamics, health disparities, and technological advancements. Topics include inclusive leadership, equitable technology, bias in AI, and forging collaboration across religious and cultural differences. By harmonizing voices and expertise, this book offers transformative approaches for individuals, educators, and professionals. This rich resource empowers readers to navigate today's societal challenges, equipping them to become architects of a more inclusive, equitable, and harmonious future across technology, healthcare, and business.

The rapid growth of IoT and its applications in smart cities pose significant challenges for academic scholars. The increasing number of interconnected devices and the massive amounts of data they generate strain traditional networks, leading to inefficiencies and security vulnerabilities. Additionally, the centralized control plane in Software Defined Networks (SDN) presents a single point of failure, hindering network performance, while IoT devices themselves are susceptible to attacks, compromising user data and privacy. To address these pressing issues, Network-Enabled IoT Applications for Smart City Services offers a compelling solution . Edited by Dr. K. Hemant Kumar Reddy, Dr. Diptendu SinhaRoy, and Tapas Mishra, this book advocates leveraging SDN to handle high-frequency data streams effectively. It also proposes the integration of blockchain technology to enhance security and reliability in IoT applications, offering a roadmap for scholars to improve network efficiency, security, and reliability in IoT and smart city domains. With their extensive expertise, the authors provide academic scholars with a comprehensive and innovative resource that inspires further research and development in this evolving field, enabling them to make significant contributions to the advancement of IoT and smart city technologies.