Handbook of Big Data and Analytics in Accounting and Auditing, 1st ed. 2023
Coordonnateurs : Rana Tarek, Svanberg Jan, Öhman Peter, Lowe Alan
This handbook collects the most up-to-date scholarship, knowledge, and new developments of big data and data analytics by bringing together many strands of contextual and disciplinary research. In recent times, while there has been considerable research in exploring the role of big data, data analytics, and textual analytics in accounting, and auditing, we still lack evidence on what kinds of best practices academics, practitioners, and organizations can implement and use.
To achieve this aim, the handbook focuses on both conventional and contemporary issues facing by academics, practitioners, and organizations particularly when technology and business environments are changing faster than ever. All the chapters in this handbook provide both retrospective and contemporary views and commentaries by leading and knowledgeable scholars in the field, who offer unique insights on the changing role of accounting and auditing in today?s data and analytics driven environment.
Aimed at academics, practitioners, students, and consultants in the areas of accounting, auditing, and other business disciplines, the handbook provides high-level insight into the design, implementation, and working of big data and data analytics practices for all types of organizations worldwide. The leading scholars in the field provide critical evaluations and guidance on big data and data analytics by illustrating issues related to various sectors such as public, private, not-for-profit, and social enterprises. The handbook?s content will be highly desirable and accessible to accounting and non-accounting audiences across the globe.
Tarek Rana is an Associate Professor of Management Accounting and Analytics at RMIT University, Melbourne, Australia. He earned a PhD in Management Accounting at the University of New South Wales (UNSW) Australia. He has considerable professional and industry experience in the areas of business services, taxation, auditing, and financial planning as well as consulting services including performance measurement and risk management. He has formed many industry partnerships and undertaken practice focused research projects to deliver long-term social and organizational impact. His current research focuses on the intersection of accounting and data analytics including the implications of data analytics on management control systems, performance measurement, risk management, and sustainability where he draws on textual analytics, machine learning and artificial intelligence theories and practices. His research papers appeared in international and interdisciplinary scholarly journals such as The British Accounting Review, Accounting Auditing and Accountability Journal, Financial Accountability & Management, Intelligent Systems in Accounting, Finance & Management, Business Strategy and the Environment, Public Money & Management, Journal of Accounting & Organisational Change, Journal of Cleaner Production, and Journal of Intellectual Capital.
Jan Svanberg is an Associate Professor of Business Administration at University of Gävle, and associated with Centre for research on Economic Relations (CER), Sweden. He earned his PhD in Business Administration at Stockholm University, Sweden, and was recently a research fellow at RMIT University, Melbourne, Australia, for a period of two years. In addition to these studies, he has a diverse education with degrees in engineering, mathematics, and physics (M.Sc.) and law (LL.M). His current research focuses on how core problems in accounting, auditing and finance can be solved by interdiscip
Presents analysis by the leading scholars in the field on their particular area of research expertise
Provides critical evaluations and guidance from all branches of accounting and auditing
Illustrates issues related various sectors such as public, private, not-for-profit, and social enterprises
Date de parution : 02-2024
Ouvrage de 564 p.
15.5x23.5 cm
Date de parution : 02-2023
Ouvrage de 564 p.
15.5x23.5 cm
Thème de Handbook of Big Data and Analytics in Accounting and... :
Mots-clés :
Accounting; Data Analytics; Textual Analytics; Big Data; Business Intelligence
