Business & Economics Books:

Artificial Intelligence Approaches to Sustainable Accounting

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Description

In an age defined by unparalleled technological advancements, globalization, and the looming specter of environmental and societal crises, the need for a holistic and sustainable approach to accounting practices has never been more pressing. Academic scholars stand witness to the challenges posed by the new era, characterized by transformative shifts across industry, education, community, and society at large. These shifts, driven by rapid advancements in Artificial Intelligence (AI), present a double-edged sword. While AI offers unprecedented opportunities for innovation, it also amplifies the urgency of addressing sustainability concerns. Today's society grapples with the immense responsibility of achieving the Sustainable Development Goals (SDGs) outlined in Agenda 2030. It is imperative to not only understand but harness the power of AI to drive sustainability, enhance the quality of life, and ensure sustainable growth on both local and global scales. Artificial Intelligence Approaches to Sustainable Accounting serves as a beacon of knowledge, providing a comprehensive exploration of the intersection between AI, accounting, and sustainability. This book represents a vital solution to the challenges faced by academic scholars and practitioners alike. Within its pages lies a transdisciplinary approach that bridges the gap between these critical fields. Discover how AI can elevate accounting to new heights, extending the spectrum of information in organizational decision-making, promoting responsible reporting practices, and bolstering sustainable practices worldwide. This book not only reviews governance and management processes but also offers practical methodologies that empower organizations to embrace sustainability wholeheartedly. The intended audience for this book extends beyond scholars to include regulators, researchers, public and private organizations, managers, and the general public. The dissemination of research findings within these pages is designed to not only cater to these diverse groups but also to foster further exploration and innovation within the domains of accounting, AI, and sustainability. Additionally, postgraduate students with research interests in accounting and other social sciences will discover this publication as an invaluable resource, offering guidance towards a more sustainable future.

Author Biography:

Graça Azevedo has a PhD in Management (scientific field: Accounting) at the Institute of Higher Labor and Enterprise – ISCTE. She has published and presented several articles in national and international journals and conferences as well. She is a member of the Editorial Board of international journal "Accounting and Finance Research". She currently teaches courses in scientific field of Financial Accounting at the Institute of Higher Learning in Accounting and Administration of the University of Aveiro. Her research interests are related to financial reporting, impression management strategies and international accounting standards. Rui Pedro Marques received the PhD degree in Computer Science in 2014 from the universities of Minho, Aveiro and Porto, three of the top universities in the north of Portugal. In 2008 he concluded his Masters degree in Electronics and Telecommunications Engineering, at the University of Aveiro, and in 2005 he graduated in the same area, also from the University of Aveiro. His main research interests are related to the integration of Information Systems into organizational topics, contributing with solutions to improve the risk management and the organizational efficiency. He is Professor of Information Systems and Technology since 2007 at the Higher Institute of Accounting and Administration, University of Aveiro, Portugal.
Release date Australia
April 30th, 2024
Audience
  • Professional & Vocational
Contributors
  • Edited by Azevedo
  • Edited by Bastos
  • Edited by Marques
  • Edited by Tavares
  • Edited by Vale
Pages
312
ISBN-13
9798369308479
Product ID
38769981

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