Intelligenza artificiale e accounting: le possibili relazioni

Titolo Rivista MANAGEMENT CONTROL
Autori/Curatori Diego Valentinetti, Michele A. Reaa
Anno di pubblicazione 2023 Fascicolo 2023/2
Lingua Italiano Numero pagine 24 P. 93-116 Dimensione file 280 KB
DOI 10.3280/MACO2023-002005
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Artificial Intelligence (AI) is increasingly emerging as a new frontier in business studies. The main feature of this group of technologies lies in the ability to replicate human behaviors and cognitive processes for the resolution of complex problems, including those related to business activities and choices. To investigate how this phenomenon is emerging in the scientific debate, this paper proposes a systematic literature review on the role of AI in the context of corporate accounting systems. In particular, our analysis aims at identifying how scholars unveil potential impli-cations and consequences related to financial accounting systems and instruments (i.e., financial accounting, reporting, and auditing) and management accounting. The analysis carried out seems to emphasize the role of AI tools which, on the one hand, aim to automate repetitive and standardized operations, and on the other hand appear to be able to significantly support decision-making processes for management control. This dual functionality can be related to the broader debate on the ability of the so-called smart technologies to give a significant impetus to the development of accounting information systems.

Parole chiave:Artificial intelligence, Financial accounting, Financial reporting, Finan-cial audit, Management accounting.

  1. Akers M.D., Porter G.L., Blocher E.J., Mister W.G. (1986), Expert Systems for Management Accountants, Management Accounting, 67(9), pp. 30-34.
  2. Albitar K., Gerged A.M., Kikhia H., Hussainey K. (2021), Auditing in times of social distancing: the effect of COVID-19 on auditing quality, International Journal of Accounting and Information Management, 29(1), pp. 169-178.
  3. Altukhov P.L., Nozhkina E.B., Dushevina E.M. (2020), Process Approach to the Creation of Intellectual-Information Management System of Industrial Enterprise Development, Proceedings of the International Scientific Conference on Far East Con (ISCFEC 2020), 128, pp. 1758-1765.
  4. Amani F.A., Fadlalla A.M. (2017), Data mining applications in accounting: a review of the literature and organizing framework, International Journal of Accounting Information Systems, 24, pp. 32-58.
  5. Arnaboldi M., de Bruijn H., Steccolini I., Van der Voort, H. (2022), On humans, algorithms and data, Qualitative Research in Accounting and Management, 19(3), pp. 241-254.
  6. Aureli S., Bronzetti G., Sicoli G. (2020), Il legame tra innovazione strategica, capitale intellettuale e tecnologie intelligenti, in Lombardi R., Chiucchi S., Mancini D. (a cura di), Smart Technologies, Digitalizza-zione e Capitale intellettuale: sinergie e opportunità, Collana SIDREA, FrancoAngeli, Milano, pp. 17-31.
  7. Avelar E.A., Dias Jordão R.V., Couto Ferreira, G.M., Ribeiro da Silva, B.N.E. (2021), Artificial intelligence as support for management accounting and control systems: an analysis in transport companies by application, Sistemas & Gestão, 16(1), pp. 57-64.
  8. Badia F., Donato F. (2022), Opportunities and risks in using big data to support management control systems: A multiple case study, Management control, 3, pp. 39-63. DOI: 10.3280/MACO2022-003003
  9. Baldwin-Morgan A.A. (1995), Integrating artificial intelligence into the accounting curriculum, Accounting Education, 4(3), pp. 217-229.
  10. Bertei M., Marchi L., Buoncristiani D. (2015), Exploring Qualitative Data: the use of Big Data technology as support in strategic decision-making, The International Journal of Digital Accounting Research, 15, pp. 99-126.
  11. Bertini U. (1990), Il sistema d’azienda. Schema d’analisi, Giappichelli, Torino.
  12. Bhimani A., Willcocks L. (2014), Digitisation, ‘Big Data’ and the transformation of accounting information, Accounting and Business Research, 44(4), pp. 469-490.
  13. Bonsón E., Lavorato D., Lamboglia R., Mancini D. (2021), Artificial intelligence activities and ethical approaches in leading listed companies in the European Union, International Journal of Accounting Information Systems, 43, 100535.
  14. Centorrino G., Noto G., Rupo D. (2022), Management control in inter-firm relationships: Opportunities and challenges of blockchain technology adoption, Management control, 3, pp. 65-88. DOI: 10.3280/MACO2022-002-S1002
  15. Cerullo M.J., Cerullo V. (1999), Using neural networks to predict financial reporting fraud: Part 1, Computer Fraud and Security, 5, pp. 14-17.
  16. Chen H., Chiang R.H.L., Storey V.C. (2012), Business Intelligence and Analytics: From Big Data to Big Impact, MIS Quarterly, 36(4), pp. 1165-1188.
  17. Cho S., Vasarhelyi M.A., Zhang C. (2019), The forthcoming data ecosystem for business measurement and assurance, Journal of Emerging Technologies in Accounting, 16(2), pp. 1-21.
  18. Ciampi F., Giannozzi A., Marzi G., Altman E.I. (2021), Rethinking SME default prediction: a systematic literature review and future perspectives, Scientometrics, 126, pp. 2141-2188.
  19. Coakley J.R. (1995), Using pattern analysis methods to supplement attention directing analytical procedures, Expert Systems With Applications, 9(4), pp. 513-528.
  20. Cristiano E. (2020), Intellligenza artificiale, impatto sul sistema aziendale e performance, in Lombardi R., Chiucchi S., Mancini D. (a cura di), Smart Technologies, Digitalizza-zione e Capitale intellettuale: sinergie e opportunità, Collana SIDREA, FrancoAngeli, Milano, pp. 157-175.
  21. Davis F.D. (1989), Perceived usefulness, perceived ease of use and user acceptance of information technology, MIS Quarterly, 13(3), pp. 319-340.
  22. Dheeriya P., Singhvi M. (2021), A conceptual framework for replacing audit committees with artificial intelligence infused bot, The EDP Audit, Control, and Security Newsletter, EDPACS, 63(3), pp. 1-18.
  23. Ding K., Lev B., Peng X., Sun T., Vasarhelyi M. (2020), Machine learning improves accounting estimates: evidence from insurance payments, Review of Accounting Studies, 25(3), pp. 1098-1134.
  24. Eining M.M., Jones D.R., Loebbecke J.K. (1997), Reliance on decision aids: An examination of auditors’ assessment of management fraud, Auditing: A Journal of Practice and Theory, 16(2), pp. 1-18.
  25. Gavrilova V., Gurvits-Suits N.A. (2020), Contemporary Innovation Challenges - Future of Adoption Artificial Intelligence: Case of Estonia, European Integration Studies, 14, pp. 217-225.
  26. Guo X. (2019), Research on the Transition from Financial Accounting to Management Accounting under the Background of Artificial Intelligence, Journal of Physics: Conference Series, 1345(4), 042031.
  27. Handoko B.L. (2021), How audit firm size moderate effect of TOE context toward auditor adoption of machine learning, Journal of Theoretical and Applied Information Technology, 99(24), pp. 5972-5980.
  28. Harrison D., Munksgaard K.B., Prenkert F. (2022), Coordinating Activity Interdependencies in the Contemporary Economy: The Principle of Distributed Control, British Journal of Management, in stampa.
  29. Hou X. (2022), Design and Application of Intelligent Financial Accounting Model Based on Knowledge Graph, Mobile Information Systems, 8353937.
  30. Hu J.N. (2022), Partial Differential Equation-Assisted Accounting Professional Education and Training Artificial Intelligence Collaborative Course System Construction, Scientific programming, 6357421.
  31. Hu K.-H., Chen F.-H., Hsu M.-F., Tzeng G.-H. (2021), Identifying key factors for adopting artificial intelligence-enabled auditing techniques by joint utilization of fuzzy-rough set theory and MRDM technique, Technological and Economic Development of Economy, 27(2), pp. 459-492.
  32. Jan C.-L. (2021), Detection of financial statement fraud using deep learning for sustainable development of capital markets under information asymmetry, Sustainability, 13(17), 9879.
  33. Khan R., Adi E., Hussain O. (2021), AI-based audit of fuzzy front end innovation using ISO56002, Managerial Auditing Journal, 36(4), pp. 564-590.
  34. Kipp P.C., Curtis M.B., Li Z. (2020), The attenuating effect of intelligent agents and agent autonomy on managers’ ability to diffuse responsibility for and engage in earnings management, Accounting Horizons, 34(4), pp. 143-164.
  35. Korhonen T., Selos E., Laine T., Suomala P. (2021), Exploring the programmability of management accounting work for increasing automation: an interventionist case study, Accounting, Auditing and Accountability Journal, 34(2), pp. 253-280.
  36. Korobeynikova O.M., Korobeynikov D.A., Popova L.V., Chekrygina T.A., Shemet E.S. (2021), Artificial intelligence for digitalization of management accounting of agricultural organizations, IOP Conference Series: Earth and Environmental Science, 699(1), 012049.
  37. Korol V., Dmytryk O., Karpenko O., Riadinska V., Basiuk O., Kobylnik D., Moroz V., Safronova O., Alisov E., Mishchenko T. (2022), Elaboration of recommendations on the development of the state internal audit system when applying the digital technologies, Eastern-European Journal of Enterprise Technologies, 1(13-115), pp. 39-48.
  38. Li Z. (2020), Analysis on the Influence of Artificial Intelligence Development on Accounting, Proceedings - 2020 International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering, ICBAIE 2020, 9196245, pp. 260-262.
  39. Li C., Haohao S., Ming F. (2020), Research on the Impact of Artificial Intelligence Technology on Accounting, Journal of Physics: Conference Series, 1486 (3), 032042.
  40. Liu R, Wang Y.Q., Zou J. (2022), Research on the Transformation from Financial Accounting to Management Accounting Based on Drools Rule Engine, Computational Intelligence and Neuroscience, 9445776.
  41. Lombardi R., Chiucchi S., Mancini D. (a cura di) (2020), Smart Technologies, Digitalizzazione e Capitale intellettuale: sinergie e opportunità, Collana SIDREA, FrancoAngeli, Milano.
  42. Lombardi R., Trequattrini R., Schimperna F., Cano-Rubio M. (2021), The Impact of Smart Technologies on the Management and Strategic Control: A Structured Literature Review, Management Control, Suppl. 1, pp. 11-30. DOI: 10.3280/MACO2021-001-S1002
  43. Mancini D., Lombardi R., Tavana M. (2021), Four research pathways for understanding the role of smart technologies in accounting, Meditari Accountancy Research, 29(5), pp. 1041-1062.
  44. Marcello, R. (2020), The use of Big data analytics and artificial intelligence tools to prevent fraud in the audit field: A conceptual frame, Rivista Italiana di Ragioneria e di Economia Aziendale, 3, pp. 380-389.
  45. Marchi L. (2003), I sistemi informativi aziendali, terza edizione, Giuffrè, Milano.
  46. Minhas S., Poria S., Hussain A., Hussainey K. (2013), A Review of Artificial Intelligence and Biologically Inspired Computational Approaches to Solving Issues in Narrative Financial Disclosure, in Liu D., Alippi C., Zhao D., Hussain A. (eds), Advances in Brain Inspired Cognitive Systems, BICS 2013, Lecture Notes in Computer Science, vol. 7888, Springer, Berlin, pp. 317-327.
  47. Munir S., Abdul Rasid S.Z., Aamir M., Jamil F., Ahmed I. (2022), Big data analytics capabilities and innovation effect of dynamic capabilities, organizational culture and role of management accountants, Foresight.
  48. Naidoo J., Dulek RE (2022), Artificial Intelligence in Business Communication: A Snapshot, International Journal of Business Communication, 59(1), pp. 126-147.
  49. Nielsen S. (2022), Management accounting and the concepts of exploratory data analysis and unsupervised machine learning: a literature study and future directions, Journal of Accounting and Organizational Change, 18(5), pp. 811-853.
  50. Nielsen C., Montemari M. (2021), Big data for business modeling: Towards the next generation of performance measurement systems?, Management Control, Suppl. 1, pp. 5-10. DOI: 10.3280/MACO2021-001-S1001
  51. Omoteso K. (2012), The application of artificial intelligence in auditing: looking back to the future, Expert Systems with Applications, 39(9), pp. 8490-8495.
  52. Paolini A. (2022), Gestione integrata dei dati e performance aziendali, Management Control, 2, pp. 5-14. DOI: 10.3280/MACO2022-002001
  53. Peng Y., Chang J.S. (2019), An exploration on the problems of replacing accounting professions by AI in the future, ACM International Conference Proceeding Series, pp. 378-382.
  54. Petkov R. (2020), Artificial intelligence (AI) and the accounting function—a revisit and a new perspective for developing framework, Journal of Emerging Technologies in Accounting, 17(1), pp. 99-105.
  55. Qin J., Qin Q. (2021), Cloud Platform for Enterprise Financial Budget Management Based on Artificial Intelligence, Wireless Communications and Mobile Computing, 2021, 8038433.
  56. Qiu J. (2022), Analysis of Human Interactive Accounting Management Information Systems Based on Artificial Intelligence, Journal of Global Information Management, 30(7), pp. 1-13.
  57. Quagli A. (1995), Introduzione allo studio della conoscenza in economia aziendale, Collana di studi economico-aziendali E. Giannessi, nuova serie, vol. 21, Giuffrè, Milano.
  58. Rogers E.M. (2003), Diffusion of innovations, quinta edizione, The Free Press, New York.
  59. Roszkowska P. (2021), Fintech in financial reporting and audit for fraud prevention and safeguarding equity investments, Journal of Accounting and Organizational Change, 17(2), pp. 164-196.
  60. Shen X. (2021), Research on the Transition from Ginancial Accounting to Management Accounting in the Era of Artificial Intelligence, E3S Web of Conferences, 257, art. no. 02033.
  61. Shi Y. (2020), The Impact of Artificial Intelligence on the Accounting Industry, Advances in Intelligent Systems and Computing, 928, pp. 971-978.
  62. Supino E., Piras N. (2022), Le performance dei modelli di credit scoring in contesti di forte instabilità macroeconomica: il ruolo delle Reti Neurali Artificiali, Management Control, 2, pp. 41-61.
  63. Sutton S.G., Holt M., Arnold V. (2016), “The reports of my death are greatly exaggerated” –Artificial intelligence research in accounting, International Journal of Accounting Information Systems, 22, pp. 60-73.
  64. Tofan O.D. (2020), Digital trends in audit, 6th BASIQ International Conference on New Trends in Sustainable Business and Consumption, pp. 349-356.
  65. Turegun N. (2019), Impact of technology in financial reporting: The case of Amazon Go, Journal of Corporate Accounting and Finance, 30(3), pp. 90-95.
  66. Valentinetti D., Rea M.A. (2021), Verso la logica “distribuita” delle rilevazioni contabili? L’impatto della Blockchain sui processi di accounting digitalisation, Rivista Italiana di Ragioneria e di Economia Aziendale, 3(9-10-11-12), pp. 296-313.
  67. Valentinetti D., Rea M.A. (2022), Blockchain e bilancio di esercizio: verso una convergenza di interessi “distribuita”?, Management control, 2, pp. 15-40. DOI: 10.3280/MACO2022-00200
  68. Wang X. (2020), Research on the transition from financial accounting to management accounting in the era of artificial intelligence, Proceedings - 2020 5th International Conference on Mechanical, Control and Computer Engineering, ICMCCE 2020, 09421426, pp. 1369-1373.
  69. Wang X. (2021), Cultivation of International Accounting Talents under the Background of Informatization, Journal of Physics: Conference Series, 1852(4), 042030.
  70. Xinman Z. (2017), Construction of financial auditing teaching mode based on artificial intelligence expert system, Boletin Tecnico/Technical Bulletin, 55(17), pp. 743-747.
  71. Zhang X. (2021), Application of data mining and machine learning in management accounting information system, Journal of Applied Science and Engineering (Taiwan), 24(5), pp. 813-820.
  72. Zhang C., Cho S., Vasarhelyi M. (2022), Explainable Artificial Intelligence (XAI) in auditing, International Journal of Accounting Information Systems, 46, 100572.

Diego Valentinetti, Michele A. Reaa, Intelligenza artificiale e accounting: le possibili relazioni in "MANAGEMENT CONTROL" 2/2023, pp 93-116, DOI: 10.3280/MACO2023-002005