Artificial Intelligence in Accounting

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Accounting
Accounting Curricula
Accounting Education
Accounting Education Literature
Accounting Educator's Journal
Accounting Educator’s Journal
accounting ethics
Accounting Graduates
AI
Ai Strategy
AI Technology
Artificial Intelligence
auditing technology
Augmented Intelligence
Autonomous Ai
Blockchain Technology
Business Case
Carina Knoll
Category=KC
Category=KFC
Category=KFCM
Category=KJG
Category=KJK
Corona Virus
corporate governance
cybernetic decision-making
Cybersecurity Activities
Cybersecurity Risk
Cybersecurity Risk Management
Delphi Study
digital transformation
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eq_business-finance-law
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eq_nobargain
eq_non-fiction
Ethical
ethical implications in digital accounting
Human Machine Symbiosis
Human Robot Collaboration
human-machine collaboration
Information Security Functions
Information Security Policy Compliance
Interpretative Accounting Research
Othmar Lehner
Robotic Process Automation
Technical Accounting Knowledge
Technology Ethics Research

Product details

  • ISBN 9781032055633
  • Weight: 610g
  • Dimensions: 156 x 234mm
  • Publication Date: 27 May 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Artificial intelligence (AI) and Big Data based applications in accounting and auditing have become pervasive in recent years. However, research on the societal implications of the widespread and partly unregulated use of AI and Big Data in several industries remains scarce despite salient and competing utopian and dystopian narratives.

This book focuses on the transformation of accounting and auditing based on AI and Big Data. It not only provides a thorough and critical overview of the status-quo and the reports surrounding these technologies, but it also presents a future outlook on the ethical and normative implications concerning opportunities, risks, and limits. The book discusses topics such as future, human-machine collaboration, cybernetic approaches to decision-making, and ethical guidelines for good corporate governance of AI-based algorithms and Big Data in accounting and auditing. It clarifies the issues surrounding the digital transformation in this arena, delineates its boundaries, and highlights the essential issues and debates within and concerning this rapidly developing field. The authors develop a range of analytic approaches to the subject, both appreciative and sceptical, and synthesise new theoretical constructs that make better sense of human-machine collaborations in accounting and auditing.

This book offers academics a variety of new research and theory building on digital accounting and auditing from and for accounting and auditing scholars, economists, organisations, and management academics and political and philosophical thinkers. Also, as a landmark work in a new area of current policy interest, it will engage regulators and policy makers, reflective practitioners, and media commentators through its authoritative contributions, editorial framing and discussion, and sector studies and cases.

Othmar M. Lehner is a professor and director of the Hanken Center for Accounting, Finance and Governance at the Hanken School of Economics, Helsinki. His research combines accounting, information sciences, and organisation theory to drive forward societal insights on sustainability and the digitalisation of work processes.

Carina Knoll is an aspiring researcher in the field of Digital Accounting at the University of Applied Sciences Upper Austria. Bringing a background in sociology and management from the Johannes Kepler University of Upper Austria, her interest is the humanist implications of the digital transformation in accounting and auditing.