Tankiso Moloi - Böcker

As Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificialintelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision.The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for “the planner” to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.

As Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificialintelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision.The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for “the planner” to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.

This book explains how various forms of artificial intelligence, namely machine learning, natural language processing, and robotic process automation, could provide a source of competitive advantage to firms deploying them compared to those firms that would not have deployed these technologies.

This book explains how various forms of artificial intelligence, namely machine learning, natural language processing, and robotic process automation, could provide a source of competitive advantage to firms deploying them compared to those firms that would not have deployed these technologies.

This conference volume discusses the findings of the iCAB 2023 conference that took place in Johannesburg, South Africa. The University of Johannesburg (UJ School of Accounting and Johannesburg Business School) in collaboration with Alcorn State University (USA), Salem State University (USA) and Universiti Teknologi Mara (Malaysia) hosted the iCAB 2023 conference with the aim to bring together researchers from different Accounting and Business Management fields to share ideas and discuss how new disruptive technological developments are impacting the field of accounting. The conference was sponsored by the Association of International Certified Professional Accountants AICPA & CIMA.

This conference volume discusses the findings of the iCAB 2023 conference that took place in Johannesburg, South Africa. The University of Johannesburg (UJ School of Accounting and Johannesburg Business School) in collaboration with Alcorn State University (USA), Salem State University (USA) and Universiti Teknologi Mara (Malaysia) hosted the iCAB 2023 conference with the aim to bring together researchers from different Accounting and Business Management fields to share ideas and discuss how new disruptive technological developments are impacting the field of accounting. The conference was sponsored by the Association of International Certified Professional Accountants AICPA & CIMA.

The second set of chapters emphasizes the digital transformation of business corporations, such as digital transformation lessons for small businesses, digital transformation of finance, and the banking sector.

The second set of chapters emphasizes the digital transformation of business corporations, such as digital transformation lessons for small businesses, digital transformation of finance, and the banking sector.

This conference volume discusses the findings of the iCAB 2024 conference that took place in Sun City, South Africa, on June 27-28 2024.

This conference volume discusses the findings of the iCAB 2025 conference that took place in Cape Town, South Africa, on June 19-20 2025. The University of Cape Town hosted the iCAB 2025 conference with the aim to bring together researchers from different accounting and business management fields to share ideas and discuss how new disruptive technological developments are impacting the field of accounting. The conference was sponsored by the Association of International Certified Professional Accountants AICPA & CIMA.

This conference volume discusses the findings of the iCAB 2025 conference that took place in Cape Town, South Africa, on June 19-20 2025. The University of Cape Town hosted the iCAB 2025 conference with the aim to bring together researchers from different accounting and business management fields to share ideas and discuss how new disruptive technological developments are impacting the field of accounting. The conference was sponsored by the Association of International Certified Professional Accountants AICPA & CIMA.

This conference volume discusses the findings of the iCAB 2025 conference that took place in Cape Town, South Africa, on June 19-20 2025. The University of Cape Town hosted the iCAB 2025 conference with the aim to bring together researchers from different accounting and business management fields to share ideas and discuss how new disruptive technological developments are impacting the field of accounting. The conference was sponsored by the Association of International Certified Professional Accountants AICPA & CIMA.

Environmental, Social, and Governance (ESG) considerations have become central to discussions on corporate responsibility and sustainable investment. However, much of the existing discourse, research, and policy development remains focused on the Global North, with limited attention given to ESG practices in sub-Saharan Africa. This volume addresses this gap by examining ESG strategies, policies, and implementation in selected African countries, including South Africa, Nigeria, Ghana, and Zimbabwe. Authored by African scholars, this book provides a comprehensive analysis of ESG frameworks, regulatory environments, corporate governance structures, and sector-specific applications across the region. It explores the intersection of ESG and Sustainable Development Goals (SDGs), the role of financial markets, and the challenges and opportunities of ESG integration in key industries such as mining and energy. Additionally, it considers the impact of emerging technologies in advancing ESG practices. This book is an essential resource for researchers, policymakers, and practitioners seeking to understand ESG in the African context and its implications for sustainable economic development.

This book presents a unique and a new resource for corporates, policymakers, academics, researchers, and graduate students in the quest for determining the role of intelligent tools in sustainable development. It approaches sustainable development by figuring variables for measurement (data types) and by investigating emerging intelligent tools to be used for harnessing, analysing, and presenting a track mechanism for progress made in each sustainable development goal. It presents a conceptual framework of artificial intelligence as an agent for global collaboration and progress towards the achievement of sustainable development goals.

This book examines enterprise risk management in the fourth industrial revolution, and the technologies associated with this phenomenon.