Driving Socioeconomic Development With Big Data

Socioeconomic development has drawn increasing attention in academia, industries, and governments. The relationship between big data and its technologies and socioeconomic development has drawn certain attention in academia. Socioeconomic development depends not only on big data, but also on big data technologies. However, the relationship between big data and socioeconomic development is not adequately covered in current research. The Handbook of Research on Driving Socioeconomic Development With Big Data provides an original and innovative understanding of and insight into how the proposed theories, technologies, and methodologies of big data can improve socioeconomic development and sustainable development in terms of business and services, healthcare, the internet of everything, sharing economy, and more. Covering topics such as corporate social responsibility, management applications, and process mining, this major reference work is an excellent resource for data scientists, business leaders and executives, IT professionals, government officials, economists, sociologists, librarians, students, researchers, and academicians.

"This book explores novel big data theories, algorithms, technologies, methodologies, and applications for driving socio-economic development and sustainable development, highlighting perspectives in terms of theories, technologies, and applications as well as big data and its technologies to explore socio-economic development"--

In the wake of the COVID-19 pandemic, educational institutions worldwide were compelled to embrace online learning, leading to a significant shift in the dynamics of education. As schools, colleges, and universities adapted to virtual learning environments, teachers and learners alike found themselves navigating unfamiliar terrain. Balance and Boundaries in Creating Meaningful Relationships in Online Higher Education explores the art of forging connections in virtual classrooms. This book provides educators with valuable guidance and strategies for cultivating relationships in virtual learning environments. It covers synchronous, asynchronous, and hybrid learning, offering a comprehensive understanding of relationship-building techniques for higher education and beyond. Addressing the unique challenges of online instruction, it empowers faculty members to create classrooms based on trust, connection, and support. With practical ideas and resources, it serves as a critical reference for transitioning to online teaching. Essential for cross-departmental higher education faculty and graduate-level students, it revolutionizes the field by empowering educators to thrive in the evolving landscape of online instruction.

The global economy and organizations are evolving to become service-oriented and driven by technology, and this is not just limited to commercial work. Further study on this evolution is required to fully understand the phenomenon. Emerging Technology-Based Services and Systems in Libraries, Educational Institutions, and Non-Profit Organizations covers IT-enabled creation, curation, representation, communication, storage, retrieval, analysis, and use of records, documents, files, data, learning objects, and other contents. It also acts as a forum for interdisciplinary and emerging topics such as socio-information studies, educational technologies, knowledge management, big data, artificial intelligence, personal information protection, digital literacy, other media, and technology innovation topics in their applications to libraries, as well as other areas such as education, information, government, and NGOs. Due to this, it is ideal for industry professionals, librarians, administrators, policymakers, higher education faculty, researchers, academicians, scholars, practitioners, instructors, and students.

As the digital government field continues to evolve rapidly, scholars and professionals must stay ahead of the curve by developing innovative solutions and gaining comprehensive insights. The global landscape of digital governance is undergoing transformative shifts, necessitating a deep understanding of historical developments, current practices, and emerging trends. This urgent demand for knowledge forms the crux of the problem that the book, Emerging Developments and Technologies in Digital Government, addresses with expert knowledge and insights. The book serves as an indispensable resource for academic scholars grappling with the complexities of digital government. It critically examines historical transitions from technology-centric paradigms to people-centric models, shedding light on the global impact of open data initiatives and the vital role of human-computer interaction in reshaping government websites. For professionals and researchers across disciplines such as library sciences, administrative management, sociology, and information technology, this book becomes a beacon, offering insights and tangible solutions to navigate the multifaceted dimensions of digital government.

A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal wellbeing. The fundamental needs of a smart and sustainable city are utilizing smart technology for enhancing municipal activities, expanding monetary development, and improving citizens’ standards of living. The Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities discusses new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modeling, machine learning-based mathematical modeling, and more. It further delves into privacy and ethics in data analysis. Covering topics such as deep learning, optimization-based data science, and smart city automation, this premier reference source is an excellent resource for mathematicians, statisticians, computer scientists, civil engineers, government officials, students and educators of higher education, librarians, researchers, and academicians.

Many organizations struggle to advance their businesses due to a lack of knowledge of innovative strategies and ways to transform their business to remain relevant. Innovation, Strategy, and Transformation Frameworks for the Modern Enterprise is a comprehensive guide that equips organizations with the necessary tools to thrive in today's complex and ever-changing business landscape. This book explores a wide range of frameworks and their applications, providing practical insights and theoretical discussions to facilitate successful innovation, strategic planning, and digital transformation. The book begins by introducing the concept of frameworks in contemporary businesses. It emphasizes their importance as organized and methodical techniques for solving difficulties, managing processes, and making informed decisions based on accurate information. These frameworks cover various domains, including enterprise architecture, IT service management, business process management, project management, IT governance, agile methodologies, and innovation. By incorporating these frameworks, organizations can establish a strong foundation and adapt effectively to the rapidly evolving business environment. Designed for a wide range of readers, including educators, policymakers, researchers, consultants, IT professionals, and students, this book serves as an invaluable resource for those seeking to harness the power of frameworks to drive innovation, implement effective strategies, and navigate the complexities of digital transformation in today's fast-paced business environment. It provides a comprehensive understanding of the various frameworks, their implementations, and their potential to shape the future of business, government, and academia.

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.