Arafat Salih Aydiner – författare

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.

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.

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.

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.

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.

Artificial Intelligence stands as a pivotal force in reshaping industries and redefining possibilities.This book offers a comprehensive exploration of AI's transformative potential, examining its applications across marketing, creative arts, law, healthcare, business, and beyond. This book delves into critical areas such as AI-driven content generation for marketing, ensuring authenticity in AI-created content, optimizing customer journey mapping, and utilizing AI for enhanced diagnostic and monitoring capabilities.Beyond the theoretical, the book offers practical insights into integrating AI into various domains, balancing technological advancement with ethical considerations. Explore the role of digital transformation in supply chain resilience, uncover the latest AI applications in accounting information systems, and use business intelligence for decision-making through AI. Authored by experts in the field, this book serves as a vital resource for researchers, scholars, IT professionals, managers, business owners, policymakers, and anyone seeking to understand and navigate the AI revolution responsibly.