Abdalmuttaleb M. a. Musleh Al-Sartawi – författare

This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers,regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.

This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers,regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.

This book shows latest research on artificial intelligence for sustainable technology. ICGER 2021 was organized by the Accounting, Finance and Banking Department at Ahlia University, Bahrain, and was conducted on the 15th and 16th of September. The strategic partners included the University of Jordan, the Bahrain Economists Society, the Association of Chartered Certified Accountants: ACCA, Al-Barka Banking Group and the International Computer Auditing Education Association: ICAEA . The theme of the ICGER 2021 centered around artificial intelligence for sustainable finance and sustainable technology. Accordingly, the papers presented at the conference provided a holistic view of sustainable finance, sustainability, AI, financial technology, cybersecurity, blockchain, CSR, and governance. This book, unlike ever before, brings together intelligence applications of  new technologies and the sustainability requirements in the era of the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI applications and financial technologies to develop future strategies and to achieve sustainable development goals.

This book shows latest research on the role Artificial inelegance in enabling IoT to evoke IoI, and how IoI flourish inside technologies like social media platforms, social networks: communities of practice/interest, to assure a globally sustainable unit where humans integrate with machines to collaboratively share ideas and solve complex problems. Such a book holds several benefits. It will reveal theoretical practical, and managerial implications through discussions that will embrace a wide array of technologies focused on the role of AI enabled IoT to evoke IoI.  EAMMIS 2022 was organized by the Bridges Foundation in cooperation with Coventry University, UK on the 10th and 11th of June 2022. EAMMIS 2022 theme was From the Internet of Things to the Internet of Ideas: The role of Artificial Intelligence. The papers presented at the conference provide a holistic view of AI and its applications, IOT and the IOI which will help societies to better use andbenefit from AI, IOT and IOI to develop future strategies and actions.

One of the technological concepts of the technological revolution is the concept of the digital twin.The application of digital twins and AI as paired with Internet of Things technologies makes it possible to solve ESG problems on a completely different level (Li, 2019) for accounting firms and financial institutions.

One of the technological concepts of the technological revolution is the concept of the digital twin.The application of digital twins and AI as paired with Internet of Things technologies makes it possible to solve ESG problems on a completely different level (Li, 2019) for accounting firms and financial institutions.

This book constitutes the revised and selected papers of the International Conference on Global Economic Revolutions (ICGER 2023) held in Sharjah City, United Arab Emirates, during February 27-28, 2023. The 18 papers included in this book were thoroughly reviewed and selected from the 105 submissions.

This book explores and discusses how businesses transit from big data and business analytics to artificial intelligence (AI), by examining advanced technologies and embracing challenges such as ethical issues, governance, security, privacy, and interoperability of capabilities.

This book explores and discusses how businesses transit from big data and business analytics to artificial intelligence (AI), by examining advanced technologies and embracing challenges such as ethical issues, governance, security, privacy, and interoperability of capabilities. This book covers a range of topics including the application of cyber accounting and strategic objectives, financial inclusion, big data analytics in telecommunication sector, digital marketing strategies and sports brand loyalty, robotic processes automation in banks, and the applications of AI for decision-making in human resources, healthcare, banking, and many more. The book provides a comprehensive reference for scholars, students, managers, entrepreneurs, and policymakers by examining frameworks and business practice implications through its discussions which embrace a wide variety of unique topics on business analytics, AI, and how it can be applied together to address the challenges of the digital era.

Industry 5.0 has been dubbed as the digital revolution with a soul. The chapters present a wide range of topics including block cipher, entrepreneurship and AI, AI and stock trading decisions, digital transformation, knowledge management, chatbot engineering, cybersecurity, and smart metering system.

Industry 5.0 has been dubbed as the digital revolution with a soul. The chapters present a wide range of topics including block cipher, entrepreneurship and AI, AI and stock trading decisions, digital transformation, knowledge management, chatbot engineering, cybersecurity, and smart metering system.

This book explores and discusses how businesses transit from big data and business analytics to artificial intelligence (AI), by examining advanced technologies and embracing challenges such as ethical issues, governance, security, privacy, and interoperability of capabilities.

In developing countries, financial inclusion remains below potential in part due to the digital divide, limited technology access and the challenge for financial institutions in developing products for the low-income mass market (Hook IV, 2019;

The world is on a cusp of something great. Technology has advanced from solving simple issues to complex issues in both human life and other aspects such as social, economic, and environmental issues. The significance of machine intelligence as a tool to propel human as well as economic development is an important and hot topic today. This book is about how modern machine intelligence, AI, and machine learning applications can be used by governments and firms for financial and economic inclusion, as well as for providing solutions to bridge the digital divide. It aims to cover philosophical discussions, frameworks, and applications on central topics in machine intelligence, deep learning, mesh networks, frugal engineering, frugal innovation, blockchain technology, alternate networks, and intelligent digital financial inclusion system architectures. This book also aims to discuss the initiatives, policies, strategies, and governance issues related to furnishing technologies for technology access, financial inclusion and in turn economic growth. Financial inclusion is defined as the proportion of people and corporations that use  financial services. It further describes the fair, equal, and attainable access to financial services (Rawat et al., 2023). Financial inclusion is key to economic inclusion and economic growth as it enables the poor to improve their lives. Chapters in the book will improve our understanding of the advances and challenges of applying machine intelligence for financial inclusion and economic growth in different contexts including financial markets, governments, and corporations in both developing and developed countries. Access to financial services is essential to development efforts of markets, economies and eventually societies. Hence, in this context, financial inclusion can be explained as the process of ensuring that individuals particular impoverished people have access to essential financial services in the formal financial sector. Financial inclusion, recently, has been receiving traction from scholars and policymakers whereby it is one of the major strategies used by economies and societies in achieving UN’s sustainable development goals. Rawat et al. (2023) argues that it is vital to increase the use of “low-cost digital methods” for the economically marginalized and under-served people and sectors.  There is a need for financial inclusion for the rapidly dynamic Industry 4.0. Therefore, linking technology, more particularly machine intelligence with financial inclusion and technology access is quite crucial given the current technological environment. Additionally, financial inclusion helps in enhancing the level of economic and social inclusion in many societies and developing countries as well as help in reducing poverty levels. Policy makers in several countries continue to commit significant resources and technologies to increase the level of financial inclusion in their countries to reduce financial exclusion. In developing countries, financial inclusion remains below potential in part due to the digital divide, limited technology access and the challenge for financial institutions in developing products for the low-income mass market (Hook IV, 2019; Marimuthu et al., 2022). These matters are important topics to be researched and discussed, especially with the advancement of technology such as artificial intelligence, machine learning, blockchain, business intelligence, online education, in the current post-pandemic environment which catalysed these digital transformations.  Therefore, this book has been proposed to discuss a very important and emerging topics which contributes significantly to policy and the SDGs in the digital economy.

The concept of the circular economy has attracted the attention of scholars, researchers, professionals, and policymakers in recent years. The notion is characterised as an economy that intends to keep products, stocks, work in progress and materials at their highest utility and value continually, distinguishing between their technical and biological cycles. It is devised as a continuous positive development cycle that reserves and improves natural resources, optimizes outputs, and minimizes supply chain related risks by overseeing limited stocks and renewable flows of the stocks. Several legislations and policies are being developed to motivate and integrate SDGs and net zero-related approaches in companies, among which the circular economy (CE) is gaining momentum due to its documented impact on the elements of the SDGs and net zero.Efficient management of resources and utility via artificial intelligence is vital towards a smart circular economy by minimising waste/losses, pollution, and extraction of virgin resources. It is important to note that there is a difference between smart and traditional circular economies. This book focuses on the former and makes distinctions in terms of how technology systems and solutions can be effectively and efficiently implemented.This book “The Paradigm Shift from a Linear Economy to a Smart Circular Economy: The Role of Artificial Intelligence-Enabled Systems, Solutions and Legislations” discusses the transition from linear to smart circular economy by dissecting the role of artificial intelligence and other technologies such as big data, IoT and blockchain in such transformations. The book further aims to provide a platform for researchers, professionals, and students to closely investigate, discuss and examine the theories, philosophies, ontologies and the role of governments, policymakers, and businesses in supporting the transition to a smart economy via national initiatives, fiscal policies, and corporate governance. The book highlights the need for collaborative efforts between various actors including the private and public sectors through cross-disciplinary approaches to attain, maintain and sustain a smart circular economy.

This book is timely as it explores the double-edged nature of disruptive technologies in providing both challenges and opportunities for businesses in the age of digital transformation. Business resilience has two major forms related to timescales. Both kinds of resilience are identified as key for delivering sustainable development. The opposite is also found to be true. Both are needed to deliver either and to let businesses survive and grow. Sustainability is increasingly a strategic issue for firms seeking sustainable competitive advantage. It has been driven by stakeholder, legislative, and cost changes, including natural resource constraints (Frizzo-Barker et al. 2020). Business resilience has also been of interest recently due to the unpredictable effects of globalization and economic turbulence and in response to changing social limitations on, and expectations of, companies. The topic of sustainable development has become ubiquitous in the last 30 years (Henderson and Loreau, 2023), yet how to achieve such a goal, or whether it is even possible, remains a major unknown. This book attempts to provide a platform for researchers and practitioners to discuss sustainability in light of the eruption of disruptive technologies, legislations, regulations, and stakeholder demands. This book’s purpose is twofold: it aims to explore artificial intelligence and digital transformation implications for achieving business resilience and business innovation. Second, it aims to cover unique and variety of interdisciplinary topics in the challenges and opportunities of disruptive technologies and how these advanced technologies can be implemented to contribute toward sustainable development goals and sustainability.Consequently, to address the aims of the book, it seeks exploratory, empirical, interpretive, and theoretical research built on either primary or secondary data. The approaches suggested are not exhaustive and can be extended upon by the researchers. In addition, the book contributes toward the UN’s sustainable development goals.

This book delves into how Artificial Intelligence is reshaping economies, influencing laws, and transforming media landscapes. It presents a comprehensive exploration of the significant role AI plays in contemporary society. The book chapters are written and contributed by leading experts and scholars as an essential resource that provides a thorough examination of AI’s multifaceted impact, offering insights that are relevant for researchers, policymakers, industry professionals, and students alike. In a rapidly evolving digital landscape, understanding the implications of AI is crucial. This book equips readers with the knowledge to navigate the economic opportunities, regulatory challenges, and media narratives that AI engenders. Featuring contributions from top scholars and industry leaders, this book investigates economic impact, and legislative frameworks including evolving laws and regulations governing AI technologies, addressing ethical considerations and data privacy. It, moreover, examines media influence and the portrayal of AI in the media and its effects on public perception and discourse. This timely and insightful work is essential for anyone looking to understand AI's transformative effects on our world.