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020 _a9783031713712
_9978-3-031-71371-2
024 7 _a10.1007/978-3-031-71371-2
_2doi
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072 7 _aKFF
_2bicssc
072 7 _aBUS017000
_2bisacsh
072 7 _aKFF
_2thema
100 1 _aPierotti, Mariarita.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986699
245 1 0 _aArtificial Intelligence in Accounting and Auditing
_h[electronic resource] :
_bAccessing the Corporate Implications /
_cby Mariarita Pierotti, Anna Monreale, Federica De Santis.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Palgrave Macmillan,
_c2024.
300 _aXIII, 240 p. 23 illus., 11 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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505 0 _a1. The new corporate data ecosystem (Federica De Santis) -- 2. From data to corporate decision-making process (Mariarita Pierotti) -- 3. An introduction to Artificial Intelligence (Anna Monreale) -- 4. The need of Trustworthy Artificial intelligence (Anna Monreale) -- 5. Artificial Intelligence to support Business Decisions (Federica De Santis) -- 6. AI for risk management (Federica De Santis) -- 7. AI for financial accounting (Mariarita Pierotti) -- 8. AI for managerial accounting (Mariarita Pierotti) -- 9. Artificial Intelligence in Auditing (Federica De Santis). 10. Using AI in business context: case studies (Mariarita Pierotti).
520 _aThis book investigates the phenomenon of artificial intelligence (AI) in the accounting world. It integrates accounting competencies with specific competencies in AI and other digital technologies and offers an interdisciplinary perspective. First, the authors review and discuss the literature to summarize and systematize extant research on digitalization in accounting. Second, case studies are included to illustrate the potential impact of AI in business contexts in terms of opportunities and challenges. Based on these, the book explores how digitalization is influencing the accounting practice and what the most important avenues are for future research on digitalization in accounting, and will be of interest to researchers, students, and practitioners of financial technology, accounting, and risk management. Mariarita Pierotti is an Associate Professor in the Computer Science Department at the University of Pisa, Italy. She teaches Fundamentals of Business Management and Financial Analysis and Performance Measurement at the master's degree course in Data science and Business Informatics. Her recent research interests include budget policies, earning management activities, and management control. Anna Monreale is an Associate Professor in the Computer Science Department at the University of Pisa, Italy, and a member of the Knowledge Discovery and Data Mining Laboratory (KDD Lab), a joint research group with the Information Science and Technology Institute of the National Research Council in Pisa. Federica De Santis is an Associate Professor at the University of Pisa, Italy. Her research interests include auditing, management information systems, management accounting, and intellectual capital. She teaches financial accounting, management information systems, and auditing and management control.
650 0 _aFinancial engineering.
_958071
650 0 _aArtificial intelligence.
_958441
650 0 _aAccounting.
_957622
650 0 _aAuditing.
_960872
650 0 _aFinancial risk management.
_959046
650 1 4 _aFinancial Technology and Innovation.
_969289
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aAccounting.
_957622
650 2 4 _aFinancial Accounting.
_957570
650 2 4 _aAuditing.
_960872
650 2 4 _aRisk Management.
_959047
700 1 _aMonreale, Anna.
_eauthor.
_0(orcid)0000-0001-8541-0284
_1https://orcid.org/0000-0001-8541-0284
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_4http://id.loc.gov/vocabulary/relators/aut
_986700
700 1 _aDe Santis, Federica.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986701
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031713705
776 0 8 _iPrinted edition:
_z9783031713729
776 0 8 _iPrinted edition:
_z9783031713736
856 4 0 _uhttps://doi.org/10.1007/978-3-031-71371-2
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