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Business and Management (R0)

Michael Adelowotan

Collins Achepsah Leke

Artificial Intelligence in Accounting, Auditing and Finance

A Guide for Implementation and Use

&lt;p class="MsoNormal"&gt;Chapter 1. Introduction: Our Remade World.- Chapter 2. The Development of Artificial Intelligence and Machine Learning: Applications in Financial Services.- Chapter 3. The Development of Accounting as a Service Activity.- Chapter 4. The Accountancy Profession and the Challenges of Artificial Intelligence.- Chapter 5. The Impact of Artificial Intelligence on the Role of Management Accountants.- Chapter 6. The Impact of Artificial Intelligence on Auditing and Assurance Services.- Chapter 7. Integration of Artificial Intelligence into Taxation Processes.- Chapter 8. Reflecting on Artificial Intelligence and Financial Statement Analysis using a Critical Management Framework Approach.- Chapter 9. Artificial Intelligence Tools and Use Cases in Corporate Finance.- Chapter 10. The Benefits and Challenges of Utilizing Artificial Intelligence in Enterprise Risk Management.- Chapter 11. Financial Time Series Forecasting in the Artificial Intelligence Domain: Learning through the Lens of Time.- Chapter 12. Conclusion: The Currency of Our Remade World.&lt;/p&gt;

Recursions

A Media Theory of Machine Learning

Errant Intelligence

Revolution of AI and Machine Learning for Design and Automation

Pull up a chair. If you've found your way to these pages, there is a good chance you are carrying a quiet, heavy question in your heart. Perhaps it visits you during that familiar "Sunday Night Dread," when the hum in your belly tells you your nervous system is bracing for another week of Outlook invites and digital noise. You've played by the script: you have the title, the salary, and the glowing LinkedIn recommendations. Yet, you feel like a "Company Persona"- always consuming but never quite full.We are standing at a threshold unlike any other in human history. We are being told that Artificial Intelligence is coming for our "transactional" work-the coding, the calculating, and the organizing. It is a world that has asked us to function like machines for decades, and many of us have tried to oblige. But here is the radical truth this book invites you to consider: the antidote to AI anxiety is not upskilling in technology, but "down-skilling" into your essential humanity.This book is not a manual on how to outrun the algorithm. You cannot win a race against a machine that doesn't need to sleep or eat. Instead, this is a guide for an "Identity Detox." We are going to lovingly separate your deep, eternal self from the temporary role you play at work. We are going to acknowledge that your job title-no matter how impressive-is not your soul.Throughout our time together, we will explore:The Shift from Processing to Presencing: Moving away from the reactive survival mode of the "Speedy Lung" and into a state where you can sense the future that actually wants to emerge.
The "Spark Joy" Audit: Using an essentialist mindset to delegate "Robot Work" to the machines, freeing you to inhabit your true Zone of Genius.
The Wisdom of the Void: Learning how to trust the space between "trapeze bars"-that mist-filled gap where you have let go of the old identity but have not yet grasped the new.
Right Livelihood 2.0: Finding your Ikigai-the intersection of what you love, what you are good at, what the world needs, and what you can be paid for in a world of wisdom and synthesis.
The Bodhisattva in the Boardroom: Discovering how to be "in the system, but not of it," using non-attachment as the ultimate career superpower.

You are not a broken machine that needs constant optimization. You are Naturally Creative, Resourceful, and Whole. This journey is about "Detoxing" your professional identity until you are no longer trying to be a better robot, but a more complete human.The world doesn't need more busy people; it needs more people who have come alive. So, let the dust of the day settle. Take a breath. It is time to stop being a "Human Resource" and start being a human being again.Welcome to your real life.

Finding Heart-Led Career in the Age of AI

A Soulful Transition

Principles of Fintech is designed to prepare upper-level undergraduate and postgraduate business and financial management students to innovate with the latest financial technology. It combines real-world examples, critical reflection and applied frameworks for students to understand how to use Fintech creatively and responsibly in their future careers. This textbook: -Introduces the fundamentals of Fintech, including the technology and business models underpinning it -Covers the use of key technologies, such as generative AI and blockchain, as well as the applications of Fintech from digital payment to insurance (InsurTech) and wealth and asset management (WealthTech), &gt;Principles of Fintech bridges the gap between technology, finance and strategy, with real-world examples from both successful and failed Fintech initiatives. This textbook includes key pedagogical features such as learning objectives, chapter summaries and reflective questions to challenge students to apply theory into practical contexts. Additional online resources include lecturer slides, suggested classroom activities, discussion question prompts, and regularly updated real-world examples and further reading.

Financial Technology, Business Models and Strategic Innovation

Principles of Fintech

Precarious Futures
 &nbsp;explores the evolving and emerging relationship between crime and technology in an increasingly complex and interconnected world, along with its implications for new perceptions of crime and deviance. It evaluates the rise of the World Wide Web and the model of cybercrime, questions whether existing criminological thought offers relevance and efficacy in current circumstances, conditions and future predictions, and revisits the concept of Relative Deprivation and&nbsp;the underpinning social psychological and socio-political foundations of it. It argues that&nbsp;Relative Deprivation&nbsp;allied to post-industrial precarity provides a central platform for understanding crime and deviance in a hyper-connected and hyper-commercial neoliberal world.&nbsp;The book develops to explore current criminological and security conceptions of artificial intelligence, big data, crime and social control, as well as hacktivism, and how opportunities for crime have become ‘democratised’ and expanded through the Web. Drawing&nbsp;on empirical data, theoretical narratives and a review of the state of crime now and in a speculative near future, Hamerton and Webber discuss some potential directions for a new transdisciplinary critical criminology.&nbsp;
 Precarious Futures
 &nbsp;speaks to&nbsp;criminologists, sociologists and social theory scholars and students, as well as academics and professionals in associated technological fields such as cyber-security, computer science and web science.
 Christopher Hamerton
 &nbsp;is&nbsp;Deputy Director of the Institute of Criminal Justice Research at the&nbsp;University of Southampton, UK.
 Craig Webber
 &nbsp;is&nbsp;Head of the Department of Sociology, Social Policy and Criminology at the&nbsp;University of Southampton, UK.

Precarious Futures
 &nbsp;explores the evolving and emerging relationship between crime and technology in an increasingly complex and interconnected world, along with its implications for new perceptions of crime and deviance. It evaluates the rise of the World Wide Web and the model of cybercrime, questions whether existing criminological thought offers relevance and efficacy in current circumstances, conditions and future predictions, and revisits the concept of Relative Deprivation and&nbsp;the underpinning social psychological and socio-political foundations of it. It argues that&nbsp;Relative Deprivation&nbsp;allied to post-industrial precarity provides a central platform for understanding crime and deviance in a hyper-connected and hyper-commercial neoliberal world.&nbsp;The book develops to explore current criminological and security conceptions of artificial intelligence, big data, crime and social control, as well as hacktivism, and how opportunities for crime have become‘democratised’ and expanded through the Web. Drawing&nbsp;on empirical data, theoretical narratives and a review of the state of crime now and in a speculative near future, Hamerton and Webber discuss some potential directions for a new transdisciplinary critical criminology.&nbsp;
 Precarious Futures
 &nbsp;speaks to&nbsp;criminologists, sociologists and social theory scholars and students, as well as academics and professionals in associated technological fields such as cyber-security, computer science and web science.

Crime, Technology and the Web

Precarious Futures

Predictable Ops is a practical leadership framework for IT operations leaders and their business partners navigating the complexities of AI-driven transformation. The book delivers eight clear rules grouped into two tracks: Operational Trust and Preparation &amp; Foresight. This system helps leaders build reliable, cost-aware, resilient services — and lead decisively when machine-driven insights must be balanced with human judgment.

Each rule includes real-world anecdotes — from cloud migrations and vendor licensing negotiations to critical incident communications and team accountability gaps. Predictable Ops makes the system repeatable through reflection questions, templates, and ‘Try It This Week’ actions.

Where other books focus narrowly on DevOps, SRE, or AI strategy, Predictable Ops bridges the daily realities of operations leaders who must stabilize services while explaining the risks and value of AI to partners who depend on them.

With trust, clear forecasting, transparent communication, and decisive leadership, Predictable Ops shows readers how to deliver services that stay stable, boring, and trusted — so that AI and future platforms multiply value instead of chaos.

Predictable Ops 
 is a practical leadership framework for IT operations leaders and their business partners navigating the complexities of AI-driven transformation. The book delivers eight clear rules grouped into two tracks: Operational Trust and Preparation &amp; Foresight. This system helps leaders build reliable, cost-aware, resilient services — and lead decisively when machine-driven insights must be balanced with human judgment.
 
 Each rule includes real-world anecdotes — from cloud migrations and vendor licensing negotiations to critical incident communications and team accountability gaps.&nbsp;
 Predictable Ops
 makes the system repeatable through reflection questions, templates, and ‘Try It This Week’ actions.
 Where other books focus narrowly on DevOps, SRE, or AI strategy, Predictable Ops bridges the daily realities of operations leaders who must stabilize services while explaining the risks and value of AI to partners who depend on them.
 With trust, clear forecasting, transparent communication, and decisive leadership,&nbsp;
 Predictable Ops
 shows readers how to deliver services that stay stable, boring, and trusted — so that AI and future platforms multiply value instead of chaos.
 &nbsp;

Leading IT in the Age of AI

Predictable Ops

Palgrave Insights into Apocalypse Economics

This book reassesses classic Marxist theories of finance capital and uneven development in the context of the present intensified process of financialization and the accentuation of combined and accelerating uneven development. In particular, the work of Hilferding and Luxemburg is discussed and re-framed in light of both the contributions of Marx and more recent engagements by David Harvey and Neil Smith. The book explores the case of South Africa in particular in light of the combination of a rapidly financializing yet crisis-ridden South African political economy on the one hand and intensifying social inequality and political conflict on the other.&nbsp;It explores a series of strategies and possibilities that might open up trajectories for change and transformation with particular attention paid to the promises and constraints of the de-growth movement and intersectional class struggle, which will appeal to political economists, researchers, and students alongside those studying South Africa specifically. Patrick Bond is a political economist and professor at the University of Johannesburg, South Africa. He spent more than two decades teaching at the Wits University School of Governance in Johannesburg and the University of KwaZulu-Natal Centre for Civil Society in Durban. During the late 1980s he pursued doctoral studies in economic geography at Johns Hopkins University, while learning politics in the anti-apartheid, labour, student and community movements. In 1994 and 1996, he worked in the Reconstruction and Development Ministry in President Nelson Mandela’s office, drafting the democratic government’s first White Paper and a dozen other major policy documents. He appears more than 100 times a year on South African and international broadcast media, and usually gives more than 50 guest lectures annually.

Financial Volatility, Deep Capitalist Crisis and Super-Exploitation in South Africa and the World

Extreme Uneven Development

edition suhrkamp

Was kommt danach?

Liberale Demokratie ohne Zukunft

A critical introduction to the psychiatric technologies of the future Artificial intelligence (AI) promises to transform nearly every area of modern life, and psychiatry is no exception. The field faces the mounting crisises in diagnostic inaccuracy, treatment stagnation, and persistent failures in suicide prevention, while traditional approaches struggle to keep pace with patient needs. AI and neuroscience offer a new path forward, pointing toward a future where mental health care is grounded in objective data, individualized predictions, and biologically informed treatments. Decoding Despair provides a cutting-edge look at these emerging scientific possibilities and the long-standing norms they may replace. Beginning with an examination of psychiatry's current challenges, it moves toward a present where AI-powered tools are beginning to reshape diagnostics, treatment selection, and drug development. The book offers readers a deeper understanding of mental health as both a scientific field and a lived human experience, while igniting an essential conversation about the transformative potential of precision psychiatry and technology. Decoding Despair readers will also find: <ul> <li>Exploration of the patient's journey from first symptoms to being prescribed medication</li> <li>Deep dive into the healthcare system and an understanding of the connections between stakeholders</li> <li>Clear explanations of how AI models work and how they can be practically applied to solving issues in mental health</li> <li>Deep introduction into the world of data and the different models of data acquisition necessary for building AI solutions</li> <li>Analysis of the potential innovations that could come first and the conditions necessary for them to occur</li> </ul> &nbsp; Decoding Despair is ideal for professionals and innovators building the future of psychiatry-as well as anyone seeking to understand their own mental health and the technological breakthroughs poised to reshape this critical field of care.

How AI is Reshaping Psychiatry

Decoding Despair

Contributions to Finance and Accounting

Chapter 1. Expertise in fund management (Fredrik Nilsson).- Chapter 2. Performance and fund managers’ expertise (Martin Abrahamson).- Chapter 3. Searching for expert fund managers (Martin Abrahamson).- Chapter 4. Judgments and decisions by expert fund managers (Martin Abrahamson).- Chapter 5. Individual foresight and fund management expertise (Melissa Innes).- Chapter 6. Artificial intelligence in discretionary fund management (Haojun Hu).- Chapter 7. Integrating ESG information in active fund management (Katarzyna Cieslak).- Chapter 8. Analysing fund managers’ accountability (Frank Hartmann).- Chapter 9. Does expertise matter? Concluding reflections (Fredrik Nilsson).

This book offers novel insights into how expert fund managers—those who demonstrate superior performance over the long term—make their judgments and decisions. It is often claimed that actively managed funds create value for investors by making more informed decisions. The general idea is that experts make judgments and decisions that will outperform passively managed funds, i.e., the market. Although such claims seem reasonable, many actively managed funds do not consistently beat the market. Additionally, it is argued that the fees charged by actively managed funds are too high relative to the value they provide. However, some assert that certain fund managers do outperform the market in the long term. Regardless of the position one takes, there is a clear need to critically examine and discuss the concept of fund management expertise.The book also explores how recent and significant societal developments, such as sustainability, artificial intelligence, and multiple accountabilities, are shaping the nature of expertise today and how it might evolve in the future. The book draws on both earlier research on expertise and recent publications related to business and accounting, as well as insights from new empirical studies. It appeals to both scholars and professionals in finance wanting to learn about capital markets and fund management.

Exploring Fund Management Expertise

Advances in Accounting Education is a high-quality publication of both empirical and non-empirical research that investigates vital matters in teaching, learning, and curriculum development. By focusing on these topics, it supports the improvement of accounting programs at colleges and universities and fosters innovative discussion and meaningful contributions to faculty development. 
This 29th volume features 11 peer-reviewed manuscripts organized around four interrelated themes: (1) Faculty and Professional Pipeline; (2) Valuation; (3) Pedagogy and Curriculum Design; and (4) Technology and Innovation. 
Accounting faculty, program designers, and higher education policymakers will find this volume both insightful and timely. It addresses pressing concerns about enrolment and pipeline issues, explores new pedagogical frontiers, and considers how emerging technologies are reshaping the accounting classroom.

Teaching and Curriculum Innovations

Advances in Accounting Education

This open access book assesses whether European data regulation can be amended in light of contemporary technological developments. In an era when data powers our daily lives, economies and societies, data regulation is essential. However, European data regulation is still premised on concepts and foundations that were developed more than 50 years ago. The book offers an in-depth exploration of the European data regulatory landscape, from its historical roots to the challenges posed by new technological advancements. Through a detailed legal and technical analysis, it explores key data categories - such as anonymised, pseudonymised, aggregated, sensitive data, and metadata - highlighting their fluid and changing nature and the growing possibilities for transitioning between them. By identifying regulatory tensions and challenges arising from various technologies, such as AI, Big Data, and quantum computing, the book offers policymakers, legal scholars, computer scientists and data protection experts different perspectives on how to reshape future privacy and data protection legislation in a rapidly advancing technological world. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.

The Past, Present, and Future of European Data Regulation

Artificial Intelligence in Accounting, Auditing and Finance

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