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001454541 001__ 1454541
001454541 003__ OCoLC
001454541 005__ 20230314003217.0
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001454541 008__ 230210s2023\\\\si\a\\\\o\\\\\001\0\eng\d
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001454541 020__ $$a9789811944604$$q(electronic bk.)
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001454541 0247_ $$a10.1007/978-981-19-4460-4$$2doi
001454541 035__ $$aSP(OCoLC)1369580446
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001454541 050_4 $$aHF5679$$b.H363 2023eb
001454541 08204 $$a657.0285/57$$223/eng/20230210
001454541 24500 $$aHandbook of big data and analytics in accounting and auditing /$$cTarek Rana, Jan Svanberg, Peter Ohman, Alan Lowe, editors.
001454541 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001454541 264_4 $$c©2023
001454541 300__ $$a1 online resource (xxii, 564 pages) :$$billustrations (chiefly color)
001454541 336__ $$atext$$btxt$$2rdacontent
001454541 337__ $$acomputer$$bc$$2rdamedia
001454541 338__ $$aonline resource$$bcr$$2rdacarrier
001454541 500__ $$aIncludes index.
001454541 5050_ $$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.
001454541 506__ $$aAccess limited to authorized users.
001454541 520__ $$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 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. .
001454541 588__ $$aDescription based on print version record.
001454541 650_0 $$aAccounting$$xData processing.
001454541 650_0 $$aBig data.
001454541 655_0 $$aElectronic books.
001454541 7001_ $$aRana, Tarek,$$eeditor.
001454541 7001_ $$aSvanberg, Jan,$$eeditor.
001454541 7001_ $$aOhman, Peter,$$eeditor.
001454541 7001_ $$aLowe, Alan,$$eeditor.
001454541 77608 $$iPrint version:$$tHandbook of big data and analytics in accounting and auditing.$$dSingapore : Springer Nature Singapore, 2022$$z9789811944598$$w(OCoLC)1347736182
001454541 852__ $$bebk
001454541 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-4460-4$$zOnline Access$$91397441.1
001454541 909CO $$ooai:library.usi.edu:1454541$$pGLOBAL_SET
001454541 980__ $$aBIB
001454541 980__ $$aEBOOK
001454541 982__ $$aEbook
001454541 983__ $$aOnline
001454541 994__ $$a92$$bISE