Books published by IGI Global

Practices and Implementation of Gamification in Higher Education is a comprehensive book that explores the integration of gamification in tertiary education as an innovative approach to teaching and learning. By leveraging the mechanics of games, educators are able to achieve enhanced results, foster critical thinking, and promote positive behavior among students. This book compiles a collection of practical lesson proposals from experienced educators at the university level, providing detailed instructions and necessary materials for implementing gamification in the classroom. By presenting a diverse range of examples across various fields of higher education, the book illustrates the effectiveness of gamification in engaging students and catering to their specific needs. Whether it is fostering motivation, nurturing commitment, or encouraging excellence, the book highlights the positive impact of gamification on student learning outcomes. Ideal for researchers, department chairs, university professors, and lead course developers, this book appeals to those invested in innovative teaching methodologies and seeking to implement them successfully. It also caters to graduate studies programs in higher education, teaching and instruction, humanities, English, and foreign languages.

The modern workforce is continually evolving, presenting an ongoing challenge to business stakeholders, from workers to administration. Technological advancements, shifting consumer preferences, and the ever-changing global economic landscape have set the stage for a resounding conundrum. How can workers, employers, and society adapt to this rapidly transforming environment? Reskilling the Workforce for Technological Advancement presents an answer in the concept of reskilling existing workforces. As highlighted in the book, reskilling offers a path to not only address the challenges faced by individuals but also to propel businesses and society forward. The first issue at hand is the need for workers to continually develop new skills and adapt to new roles in response to technological advancements. Reskilling the Workforce for Technological Advancement presents a compelling solution by outlining how reskilling can open to new career opportunities, boost earning potential, and provide the necessary tools for individuals to remain competitive.

In a world characterized by complexity and rapid change, the intersection of healthcare, social sciences, and technology presents a formidable challenge. The vast array of interconnected issues, ethical dilemmas, and technological advancements often evade comprehensive understanding within individual disciplines. The problem lies in the siloed approach to these critical domains, hindering our ability to navigate the complexities of our modern world effectively. Change Dynamics in Healthcare, Technological Innovations, and Complex Scenarios emerges as a transformative solution, offering a beacon of insight and knowledge to those grappling with the intricate dynamics of our interconnected society. Change Dynamics in Healthcare, Technological Innovations, and Complex Scenarios dives into organizational narratives, ethical challenges, and technological promises across healthcare, social sciences, and technology. It doesn't merely acknowledge the interplay between these disciplines; it celebrates their interconnectedness. By dissecting, analyzing, and synthesizing critical developments, this book serves as a compass, providing a rich resource for comprehending the multifaceted impacts of emerging changes.

As the world becomes increasingly interconnected, complexities arise in ensuring inclusivity and diversity in research practices. Challenges of Globalization and Inclusivity in Academic Research examines the impact of globalization on academic research within the domains of social sciences, religion, and technology. Through meticulous analysis and case studies, it dissects the multifaceted effects of globalization, shedding light on how it has shaped research questions, methodologies, and teaching approaches in these critical disciplines. This book is an exploration of challenges and a guidebook for positive change. It navigates through topics such as unconscious bias in research, gender representation in academia, and ethical considerations in international collaborations. It encourages readers to develop a nuanced understanding of the need for diversity and inclusivity in research practices, laying the foundation for a more equitable and globally connected research community. This book is ideal for researchers, academics, policymakers, administrators, Diversity, Equity, and Inclusion (DEI) advocates, and cross-cultural collaborators.

Cybersecurity Issues and Challenges in the Drone Industry is a comprehensive exploration of the critical cybersecurity problems faced by the rapidly expanding drone industry. With the widespread adoption of drones in military, commercial, and recreational sectors, the need to address cybersecurity concerns has become increasingly urgent. In this book, cybersecurity specialists collaborate to present a multifaceted approach to tackling the unique challenges posed by drones. They delve into essential topics such as establishing robust encryption and authentication systems, conducting regular vulnerability assessments, enhancing software security, advocating industry-wide standards and best practices, and educating drone users about the inherent cybersecurity risks. As drones, or unmanned aerial vehicles (UAVs), gain popularity and are deployed for various applications, ranging from aerial photography and surveillance to delivery services and infrastructure inspections, this book emphasizes the criticality of safeguarding the security, integrity, and privacy of drone systems and the data they handle. It highlights the growing vulnerability of drones to cybersecurity threats as these devices become increasingly connected and integrated into our everyday lives. This book is an invaluable resource for drone manufacturers, government agencies, regulators, cybersecurity professionals, and academia and research institutions invested in understanding and mitigating the cybersecurity risks in the drone industry.

Academic scholars face the daunting challenge of keeping pace with the rapid evolution of innovative technologies. The emergence of AI-driven solutions, deep learning frameworks, and medical robotics introduces a complex terrain, demanding in-depth understanding and analysis. As scholars navigate the intricacies of patient hate speech detection, cardiovascular diseases AI-CDSS, and the revolution in medical diagnostics, a pressing need arises for comprehensive insights that bridge the gap between theoretical knowledge and practical applications. Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications serves as a solution in this era of transformative healthcare and addresses these challenges head-on. It unravels the complexities surrounding the implementation of AI in healthcare, offering in-depth discussions on the latest breakthroughs. From unraveling the mysteries of AI-driven cataract detection to exploring the implications of decentralized mammography classification, the book is a valuable resource that equips scholars with the knowledge to navigate this innovative landscape.

In the realm of analyzing human emotions through Artificial Intelligence (AI), a myriad of challenges persist. From the intricate nuances of emotional subtleties to the broader concerns of ethical considerations, privacy implications, and the ongoing battle against bias, AI faces a complex landscape when venturing into the understanding of human emotions. These challenges underscore the intricate balance required to navigate the human psyche with accuracy. The book, Using Machine Learning to Detect Emotions and Predict Human Psychology , serves as a guide for innovative solutions in the field of emotion detection through AI. It explores facial expression analysis, where AI decodes real-time emotions through subtle cues such as eyebrow movements and micro-expressions. In speech and voice analysis, the book unveils how AI processes vocal nuances to discern emotions, considering elements like tone, pitch, and language intricacies. Additionally, the power of text analysis is of great importance, revealing how AI extracts emotional tones from diverse textual communications. By weaving these systems together, the book offers a holistic solution to the challenges faced by AI in understanding the complex landscape of human emotions.

In global commerce, marked by the relentless advance of digital technology, businesses find themselves constantly challenged to devise innovative and disruptive marketing strategies. Adapting to these changes is no longer a choice but a necessity. To thrive, companies must remain vigilant, updating their resources and adopting emerging trends with unwavering agility. Contemporary Trends in Innovative Marketing Strategies explores the demands and dynamics of modern marketing. This book is tailored to meet the needs of students, educators, and managers seeking a profound understanding of today's marketing trends. Firstly, the book delves deep into the current trends steering marketing innovation. It dissects the latest developments that are reshaping the marketing landscape, identifies pivotal trends, and elucidates their ramifications for businesses. Secondly, the book embarks on a journey to explore innovative marketing strategies engineered to confront contemporary business challenges and seize emerging opportunities. It unlocks novel approaches that adeptly cater to the market, providing insights into strategic frameworks, methodologies, and practices. Lastly, the book illustrates these concepts with real-world case studies, offering proof of innovative marketing's successful applications across diverse business sectors. These cases serve to inspire and demonstrate how innovative marketing strategies can be put into action, resulting in tangible outcomes. This book is designed for a diverse audience, including academics and students keen on exploring the latest trends in innovative marketing, educators searching for compelling case studies to enhance their teaching materials, and practitioners eager to bridge the gap between research and practical application in innovative marketing.

Modern organizations confront an array of existential challenges encompassing environmental volatility, resource scarcity, workforce recruitment woes, employee burnout, and technological disruption. These uncertainties, coupled with the call for sustainability as exemplified by the Sustainable Development Goals (SDGs), necessitate adept management and visionary leadership. Nevertheless, deciphering these intricacies proves formidable, exacerbated by societal shifts and rapid behavioral transformations. The demand for proficient management and comprehensive leadership has never been more pressing as we stand on the cusp of a transformative era. Contemporary Management and Global Leadership for Sustainability , emerges as a remedy for present challenges. This book delves into the core of modern management science and global leadership, offering a roadmap to navigate multifaceted issues across various sectors. Beyond theoretical insights, it bridges the gap between theory and application, equipping a diverse audience with actionable approaches for sustainable triumph. Tailored for academics, professionals in public and private spheres, and students, the book serves as a reservoir of knowledge. Touching industries from hospitality to education and exploring the fusion of religious philosophy with sustainable leadership, provides invaluable guidance. As organizations worldwide seek direction amid contemporary challenges, this book shines as a beacon, guiding the way toward resilience, innovation, and enduring triumph.

In the modern and data-driven business landscape, organizations face an increasingly complex challenge: how to harness the power of Artificial Intelligence (AI) and digital twin technology to stay competitive and relevant. This challenge is exacerbated by the rapid evolution of these technologies and the urgent need for businesses to adapt. AI continues to advance in areas such as language comprehension, pattern recognition, decision-making, and experiential learning, while digital twins are transforming into electronic replicas of real-world entities. Consequently, businesses grapple with the complexities of navigating this transformative convergence. Digital Twin Technology and AI Implementations in Future-Focused Businesses addresses the pressing issue of how AI and digital twin technology are altering the very fabric of business operations. It delves into the profound implications for productivity, creativity, and decision-making in organizations across diverse industries. Staying ahead of the technical curve is crucial, and this book equips readers with the knowledge and insights needed to thrive in this evolving business landscape.

In the dynamic landscape of bioinformatics and blockchain technology, a profound challenge is evident: ensuring secure exchange and analysis of complex biological data while maintaining data integrity and ownership. Traditional methods fall short in seamlessly transferring genomic data, spurring the fusion of blockchain innovation and optimization algorithms as a groundbreaking solution. Biology-Inspired Optimization Techniques in Blockchain Systems directly addresses the data integrity and ownership dilemma in bioinformatics and blockchain. Despite the intricacies of genomic data, blockchain's potential solution faces obstacles like data volume and slow transactions. These challenges are adeptly overcome through optimization algorithms. The book, authored by experts in bioinformatics, blockchain, and optimization, offers a comprehensive guide, showcasing how blockchain architecture and biological data intricacies can harmonize. It provides a blueprint for using blockchain to store genomic variants and aligned reads. This work empowers developers, data scientists, and researchers to overcome technological barriers, redefining the landscape of bioinformatics and beyond.

The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence , a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.

In the wake of increasing consumer and stakeholder concerns regarding environmental and social issues, and the vulnerabilities exposed by the COVID-19 pandemic, sustainable marketing has emerged as a critical aspect of modern business strategies. Sustainable Marketing, Branding, and Reputation Management: Strategies for a Greener Future provides a comprehensive and timely exploration of the key concepts, trends, and challenges in sustainable marketing within today's dynamic business environment. This book delivers an extensive overview of sustainable marketing, covering a diverse range of topics. It delves into the role of sustainable marketing in addressing environmental and social concerns, examines its impact on consumer behavior and brand loyalty, and showcases best practices for integrating sustainability into marketing strategies and tactics. Additionally, it explores the challenges and opportunities associated with implementing sustainable marketing across various industries, investigates the influence of digital technologies on sustainable marketing, and explores the future of sustainable marketing in the post-COVID-19 era. Targeting marketing professionals, business leaders, marketing students and educators, and individuals interested in advancing sustainable business practices, this book serves as an invaluable resource. It offers insights into the role of marketing in creating a more environmentally friendly future and equips readers with the latest strategies and best practices for promoting sustainability through marketing.

Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very foundation of financial services, it is imperative to hold a deep understanding of the intricate web of computational finance. Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization takes a comprehensive approach, spotlighting the fusion of artificial intelligence(AI) and algorithms in financial operations. The chapters explore the expansive landscape of algorithmic applications, from scrutinizing market trends to managing risks. The emphasis extends to AI-driven personnel selection, implementing trusted financial services, crafting recommendation systems for financial platforms, and critical fraud detection. This book serves as a vital resource for researchers, students, and practitioners. Its core strength lies in discussing AI-based algorithms as a catalyst for evolving market trends. It provides algorithmic solutions for stock markets, portfolio optimization, and robust financial fraud detection mechanisms.

Emerging Technologies for Health Literacy and Medical Practice unveils a transformative revolution brought about by emerging technologies, setting the stage for a paradigmatic shift from reactive medical interventions to proactive preventive measures. This transition has not only redefined the doctor-patient relationship but has also placed patients at the helm of their health management, actively engaged in informed decision-making. The book, a collective effort by experts across diverse disciplines, stands as an authoritative compendium delving into the profound implications of cutting-edge technologies in healthcare. From the tantalizing realm of artificial intelligence powering diagnostics and treatments to the tangible impact of wearable health devices and telemedicine on accessibility, each chapter delves into the nuanced interplay between technology and medical practice. This book spotlights the capabilities of these technologies, as well as dissecting the ethical, social, and regulatory tapestry they unravel. This book, thoughtfully tailored for a spectrum of stakeholders, epitomizes a synergy between knowledge dissemination and empowerment. From healthcare practitioners seeking to optimize medical practices to policymakers navigating the labyrinth of ethical considerations, from educators enriching health literacy to patients empowered to navigate their health journey, the book unearths its relevance across the healthcare spectrum.