Handbook of big data and analytics in accounting and auditing / Tarek Rana, Jan Svanberg, Peter Ohman, Alan Lowe, editors.
Rana, Tarek, editor.; Svanberg, Jan, editor.; Ohman, Peter, editor.; Lowe, Alan, editor.
2023
HF5679 .H363 2023eb
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Title
Handbook of big data and analytics in accounting and auditing / Tarek Rana, Jan Svanberg, Peter Ohman, Alan Lowe, editors.
ISBN
9789811944604 (electronic bk.)
9811944601 (electronic bk.)
9789811944598
9811944598
DOI
https://doi.org/10.1007/978-981-19-4460-4
Published
Singapore : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (xxii, 564 pages) : illustrations (chiefly color)
Item Number
10.1007/978-981-19-4460-4 doi
Call Number
HF5679 .H363 2023eb
Dewey Decimal Classification
657.0285/57
Summary
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 todays 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 handbooks content will be highly desirable and accessible to accounting and non-accounting audiences across the globe. .
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Rana, Tarek, editor.
Svanberg, Jan, editor.
Ohman, Peter, editor.
Lowe, Alan, editor.
Available in Other Form
Handbook of big data and analytics in accounting and auditing.
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Chapter 1. Introduction
Part 1 Emerging Technologies, and Accounting and Auditing Challenges
Chapter 2. A picture is worth a thousand words: Audit efficiency and risk management through data visualization
Chapter 3. The Challenges Facing Vietnamese Accountants and Auditors with the Adoption of Emerging Technologies
Chapter 4. Prediction of Controversies and Estimation of ESG Performance An Experimental Investigation using Machine Learning
Chapter 5. Artificial Intelligence and Environmental, Social and Governmental Issues a Current Perspective
Chapter 6. Sweet Spots or Dark Corners? An Environmental Sustainability view of Big Data and Artificial Intelligence in ESG
Chapter 7. Digitalization of Bookkeeping in Small Organizations: The Case of Sweden
Chapter 8. Cloud Accounting: A New Business Model in Challenging Context of China
Chapter 9. Exemplifying the Opportunities and Limitations of Blockchain Technology through Corporate Tax Losses
Chapter 10. Data Sources for Predictive Analytics and Decision Making: A Management Perspective
Chapter 11. The Use of Internet of Things, Big Data Analytics and Artificial Intelligence for Attaining UN's SDGs
Chapter 12. Integrating ESG Risks into Control and Reporting: Evidence from Practice in Sweden
Chapter 13. Digitalization and Management Control in the Public Sector: What is Next?
Chapter 14. Applying Text Mining to Understand Customer Perception of Mobile Banking App
Chapter 15. Integrating Blockchain Technology into Accounting Curricula: A Template for Accounting Educators
Chapter 16. Digitized Simulation and Gamified Pedagogy in a First Year Accounting Core Subject
Chapter 17. Roleplay and Interpersonal Skills Self-Efficacy in a Financial Analytics Course
Chapter 18. Data Analytics in an Undergraduate Accountancy Programme: The Spaced Retrieval Method. Chapter 19. Learning Analytics in Informal, Participatory Collaborative Learning
Chapter 20. A Research on Digitalization and Performance in Higher Education between Hybridity and Algorithms
Chapter 21. Online Household Waste Management (HWM): Measurement, Reporting and Awareness Education
Chapter 22. Does Virtual Reality Enhance Taxation (Capital Allowances) Learning? An International Study.

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