Tankiso Moloi – författare

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. The advantages of machine learning, natural language processing, and robotic process automation in strategy formulation and strategy implementation are explored. The book illustrates the potential sources of advantage for the strategy formulation and strategy implementation processes, which can be derived from the deployment of each form of artificial intelligence.

This book examines the adoption of digital technologies in different sectors in South Africa. The authors investigate how digital innovation impacts development in various areas in the public and private sectors. Chapters in the book cover digital transformation in authorities and government bodies and how this transforms governance, this includes digital transformation for good governance in the public sector, tax authorities, local government, and traditional authorities. 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. Other chapters delve into enterprise processes such as auditing, corporate reporting, good corporate reputation, enterprise risk management, and marketing environment. The book will appeal to an audience of scholars and professionals wanting to understand more about the role of digital transformation in emerging economies and how innovation influences economic growth.

This conference volume discusses the findings of the iCAB 2024 conference that took place in Sun City, South Africa, on June 27-28 2024. The University of Johannesburg hosted the iCAB 2024 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 book examines enterprise risk management in the fourth industrial revolution, and the technologies associated with this phenomenon. In doing so, it seeks to understand these technologies'' potential capabilities, and how they could be utilised in the enterprise risk management setting. With this, the book first details the fourth industrial revolution (4IR), and discusses the concept of enterprise risk management, the stakeholders involved, the typical information stakeholders will be responsible for, and their role in integrating risk management information. The book then examines the information processing steps and the new capabilities in the enterprise risk setting necessitated by the capabilities of the 4IR technologies to harness, analyse and integrate information for decision-making and understanding internal and external contexts. In the final chapter, the book conceptualises enterprise risk management in the 4IR, and maps out potential role changes in this space.