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Introduction: Analytics in Accounting and Auditing
(CER)
Mid Sweden University, Faculty of Human Sciences, Department of Economics, Geography, Law and Tourism. University of Gävle. (CER)
Mid Sweden University, Faculty of Human Sciences, Department of Economics, Geography, Law and Tourism. (CER)ORCID iD: 0000-0001-5731-0489
2023 (English)In: Handbook of Big Data and Analytics in Accounting and Auditing, Springer Nature , 2023, p. 1-13Chapter in book (Other academic)
Abstract [en]

Big data and analytics offer new opportunities and challenges for academics and practitioners in all business disciplines including accounting and auditing. In the backdrop of increasing growth of emerging technologies, the organizations in public, private and not-for-profit sectors are embracing digital economy and the fourth industrial revolution journey. This requires knowledge of better practice examples, lessons learned and future directions in addressing the new challenges and seizing new opportunities. In this chapter, we discuss the implications of data analytics, artificial intelligence and machine learning on the accounting and auditing practices. We focus on the technological, social, political, economic, institutional, and behavioral aspects of these technologies in the public, private, non-governmental and hybrid contexts. We present state-of-the-art research directions on philosophical, theoretical, methodological, and practical issues, new developments and innovations of big data, analytics, artificial intelligence, machine learning, blockchain, cryptocurrencies and other emerging technologies related to accounting and auditing.

Place, publisher, year, edition, pages
Springer Nature , 2023. p. 1-13
Keywords [en]
Accounting, Analytics, Artificial intelligence, Auditing, Big data, Digital economy, Machine learning
National Category
Business Administration
Identifiers
URN: urn:nbn:se:miun:diva-48488DOI: 10.1007/978-981-19-4460-4_1Scopus ID: 2-s2.0-85160700275ISBN: 9789811944604 (print)ISBN: 9789811944598 (print)OAI: oai:DiVA.org:miun-48488DiVA, id: diva2:1767509
Available from: 2023-06-14 Created: 2023-06-14 Last updated: 2024-04-01Bibliographically approved

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Svanberg, JanÖhman, Peter

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf