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008			230203s2023 si | s |||| 0|eng d
020			_a9789811944604
024	7		_a10.1007/978-981-19-4460-4 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC
050	0	4	_aHF5601-5688 _b2024
245	0	0	_aHandbook of Big Data and Analytics in Accounting and Auditing _cedited by Tarek Rana, Jan Svanberg, Peter Öhman, Alan Lowe
250			_a1st ed 2023
264		1	_aSingapore _c2023 _bSpringer International Publishing
300	0	0	_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aChapter 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.
520			_aThis 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. .
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-4460-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
912			_aZDB-2-BUM
912			_aZDB-2-SXBM
942			_2lcc _cLE
988			_aSpringer_Business_2023
999			_c238657 _d238657