The Intersection of Management Accounting and Digital Technologies: A Systematic Analysis

Authors

ADELEKE, Adebowale Babawale

Department of Accounting and Finance, Faculty of Management Sciences, Ajayi Crowther University P.M.B 1066, Oyo, Oyo State (Nigeria)

OMOTESHO, Adewale Bankole

Department of Accounting and Finance, Ajayi Crowther University P.M.B 1066, Oyo, Oyo State (Nigeria)

Article Information

DOI: 10.47772/IJRISS.2026.10200400

Subject Category: Management

Volume/Issue: 10/2 | Page No: 5440-5469

Publication Timeline

Submitted: 2026-02-22

Accepted: 2026-02-27

Published: 2026-03-12

Abstract

This systematic analysis explores the intersection of management accounting and digital technologies, examining the impact of technological advancements on management accounting practices. The study synthesizes existing literature, highlighting key themes, trends, and future research directions. Findings suggest that digital technologies, such as artificial intelligence, blockchain, and cloud computing, are transforming management accounting practices, enabling more efficient data analysis, improved decision-making, and enhanced organizational performance. The study contributes to the growing body of research on the digitalization of management accounting, providing insights for academics, practitioners, and policymakers.

Keywords

Management accounting, Digital technologies, Artificial intelligence, Blockchain

Downloads

References

1. Abdelhalim, A. M. (2023). How management accounting practices integrate with big data analytics and its impact on corporate sustainability. Journal of Financial Reporting and Accounting. https://doi.org/10.1108/JFRA-01-2023-0053 [Google Scholar] [Crossref]

2. Abdelhalim, A. M., Ibrahim, N., & Alomair, M. (2023). The moderating role of digital environmental management accounting in the relationship between eco-efficiency and corporate sustainability. Sustainability (Switzerland), 15(9). https://doi.org/10.3390/su15097052 [Google Scholar] [Crossref]

3. Abdullah, N. H. N., Sanusi, S., & Savitri, E. (2022). The role and implications of big data on strategic management accounting practices: A case study in a Malaysian manufacturing company. Management and Accounting Review, 21(1), 41–60. [Google Scholar] [Crossref]

4. Aboagye-Otchere, F., Agyenim-Boateng, C., Enusah, A., & Aryee, T. E. (2021). A review of big data research in accounting. Intelligent Systems in Accounting, Finance and Management, 28(4), 268–283. https://doi.org/10.1002/isaf.1504 [Google Scholar] [Crossref]

5. Abramo, G., D’Angelo, C. A., & Di Costa, F. (2022). Revealing the scientific comparative advantage of nations: Common and distinctive features. Journal of Informetrics, 15(1). https:// doi.org/10.1016/j.joi.2021.101244 [Google Scholar] [Crossref]

6. Al Lami, M. F. F., Maelah, R., & Ghassan, G. (2019). Management accounting information usefulness and cloud computing qualities among small-to-medium enterprises. International Journal of Management Studies, 25(1), 1–31. https://doi.org/10.32890/ijms.26.1.2019.10511 [Google Scholar] [Crossref]

7. Albaroodi, H. A., & Anbar, M. (2022). Ethereum-inspired access management account control for a secured decentralized cloud storage. Journal of Theoretical and Applied Information Technology, 100(7), 2229–2242. [Google Scholar] [Crossref]

8. Al-Zaqeba, M. A. A., Jarah, B. A. F., Ineizeh, N. I., Almatarneh, Z., & Jarrah, M. A. A. (2022). The effect of management accounting and blockchain technology characteristics on supply chains efficiency. Uncertain Supply Chain Management, 10(3), 973–982. https://doi.org/10.5267/ j.uscm.2022.2.016 [Google Scholar] [Crossref]

9. Appelbaum, D., Kogan, A., Vasarhelyi, M., & Yan, Z. (2017). Impact of business analytics and enterprise systems on managerial accounting. International Journal of Accounting Information Systems, 25, 29–44. https://doi.org/10.1016/j.accinf.2017.03.003 [Google Scholar] [Crossref]

10. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007 Aria, M., Misuraca, M., & Spano, M. (2020). Mapping the evolution of social research and data science on 30 years of social indicators research. Social Indicators Research, 149(3), 803–831. https://doi.org/10.1007/s11205-020-02281-3 [Google Scholar] [Crossref]

11. 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), 241–254. https://doi.org/ 10.1108/QRAM-01-2022-0005 [Google Scholar] [Crossref]

12. Arnold, V. (2018). The changing technological environment and the future of behavioural research in accounting. Accounting and Finance, 58(2), 315–339. https://doi.org/10.1111/acfi.12218 [Google Scholar] [Crossref]

13. Askarany, D., & Smith, M. (2008). Diffusion of innovation and business size: A longitudinal study of PACIA. Managerial Auditing Journal, 23(9), 900–916. https://doi.org/10.1108/ 02686900810908445 [Google Scholar] [Crossref]

14. Baldwin-Morgan, A. A. (1995). Integrating artificial intelligence into the accounting curriculum. Accounting Education, 4(3), 217–229. https://doi.org/10.1080/09639289500000026 [Google Scholar] [Crossref]

15. Bao, Z., Hashim, K. F., Almagrabi, A. O., & Hashim, H. B. (2023). Business intelligence impact on management accounting development given the role of mediation decision type and environment. Information Processing and Management, 50(4). https://doi.org/10.1016/ j.ipm.2023.103380 [Google Scholar] [Crossref]

16. Berisha, V., & Asllanaj, R. (2017). Historical evolution of managerial accounting theories and practice development: Evidence from Kosovo. International Journal of Economic Perspectives, 11(3), 287–303. [Google Scholar] [Crossref]

17. Bhimani, A. (2020). Digital data and management accounting: Why we need to rethink research methods. Journal of Management Control, 31(1–2), 9–23. https://doi.org/10.1007/s00187-020-00295-z [Google Scholar] [Crossref]

18. Bhimani, A., & Willcocks, L. (2014). Digitisation, big data and the transformation of accounting information. Accounting and Business Research, 44(4), 469–490. https://doi.org/10.1080/ 00014788.2014.910051 [Google Scholar] [Crossref]

19. Bian, W., & Bian, W. (2022). Construction of application model of accounting framework platform for industry-finance integration management under the background of multimedia technology. Mobile Information Systems, 2022. https://doi.org/10.1155/2022/1151226 [Google Scholar] [Crossref]

20. Bocean, C. G., & Vărzaru, A. A. (2022). A two-stage SEM–artificial neural network analysis of integrating ethical and quality requirements in accounting digital technologies. Systems, 10(4). https://doi.org/10.3390/systems10040121 [Google Scholar] [Crossref]

21. Cavélius, F., Endenich, C., & Zicari, A. (2020). Back to basics or ready for take-off? The tensions on the role of management controllers in the digital age. Comptabilité Contrôle Audit, 25(2), 89–123. [Google Scholar] [Crossref]

22. Chen, S., Zhu, J., & Chen, S. (2022). Water resource accounting modeling and analysis adapting to the development of market economy under the sustainable development strategy of big data. Journal of Sensors, 2022. https://doi.org/10.1155/2022/4384870 [Google Scholar] [Crossref]

23. Ciampi, F., Giannozzi, A., Marzi, G., & Altman, E. I. (2021). Rethinking SME default prediction: A systematic literature review and future perspectives. Scientometrics, 125(3), 2141–2188. https:// doi.org/10.1007/s11192-020-03856-0 [Google Scholar] [Crossref]

24. Demirag, I., & Tylecote, A. (1992). The effects of organisational culture, structure and market expectations on technological innovation: A hypothesis. British Journal of Management, 3(1), 7–20. https://doi.org/10.1111/j.1467-8551.1992.tb00032.x [Google Scholar] [Crossref]

25. Di Vaio, A., Hasan, S., Palladino, R., & Hassan, R. (2023). The transition towards circular economy and waste within accounting and accountability models: A systematic literature review and conceptual framework. Environment, Development and Sustainability, 25(1), 734–810. https:// doi.org/10.1007/s10668-021-02078-5 [Google Scholar] [Crossref]

26. Dogru, T., Line, N., Mody, M., Hanks, L., Abbott, J., Acikgoz, F., Assaf, A., Bakir, S., Berbekova, A., Bilgihan, A., Dalton, A., Erkmen, E., Geronasso, M., Gomez, D., Graves, S., Iskender, A., Ivanov, S., Kizildag, M., Lee, M., … Zhang, T. (2023). Generative artificial intelligence in the hospitality and tourism industry: Developing a framework for future research. Journal of Hospitality and Tourism Research. https://doi.org/10.1177/10963480231188663 [Google Scholar] [Crossref]

27. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070 [Google Scholar] [Crossref]

28. Elbashir, M. Z., Collier, P. A., & Sutton, S. G. (2011). The role of organisational absorptive capacity in strategic use of business intelligence to support integrated management control systems. Accounting Review, 85(1), 155–184. https://doi.org/10.2308/accr.00000010 [Google Scholar] [Crossref]

29. Faccia, A., & Petratos, P. (2021). Blockchain, enterprise resource planning (ERP) and accounting information systems (AIS): Research on e-procurement and system integration. Applied Sciences (Switzerland), 11(15). https://doi.org/10.3390/app11156792 [Google Scholar] [Crossref]

30. Fahlevi, H., Irsyadillah, I., Indriani, M., & Oktari, R. S. (2022). DRG-based payment system and management accounting changes in an Indonesian public hospital: Exploring potential roles of big data analytics. Journal of Accounting and Organisational Change, 18(2), 325–345. https:// doi.org/10.1108/JAOC-10-2020-0179 [Google Scholar] [Crossref]

31. Fehrenbacher, D. D., Ghio, A., & Weisner, M. (2023). Advice utilization from predictive analytics tools: The trend is your friend. European Accounting Review, 32(3), 637–662. https://doi.org/ 10.1080/09638180.2022.2138934 [Google Scholar] [Crossref]

32. Foster, B. P., & Ward, T. J. (1994). Theory of perpetual management accounting innovation lag in hierarchical organisations. Accounting, Organisations and Society, 19(4–5), 401–411. https:// doi.org/10.1016/0361-3682(94)90004-3 [Google Scholar] [Crossref]

33. Franke, F., & Hiebl, M. R. W. (2023). Big data and decision quality: The role of management accountants’ data analytics skills. International Journal of Accounting and Information Management, 31(1), 93–127. https://doi.org/10.1108/IJAIM-12-2021-0246 [Google Scholar] [Crossref]

34. Gleaves, R., Burton, J., Kitshoff, J., Bates, K., & Whittington, M. (2008). Accounting is from Mars, marketing is from Venus: Establishing common ground for the concept of customer profitability. Journal of Marketing Management, 24(7–8), 825–845. https://doi.org/10.1362/ 026725708X345533 [Google Scholar] [Crossref]

35. Guo, Y. (2022). Data source analysis of computerized management accounting based on data warehouse and mobile edge computing. Wireless Communications and Mobile Computing, 2022. https://doi.org/10.1155/2022/3216180 [Google Scholar] [Crossref]

36. Hu, J. (2022). Partial differential equation-assisted accounting professional education and training artificial intelligence collaborative course system construction. Scientific Programming, 2022. https://doi.org/10.1155/2022/6357421 [Google Scholar] [Crossref]

37. Hussain, M. H. (2003). The impact of economic condition on management accounting performance measures: Experience with banks. Managerial Finance, 29(2–3), 23–41. https:// doi.org/10.1108/03074350310768670 [Google Scholar] [Crossref]

38. Igulu, K. T., Onuodu, F. E., Chaudhary, R., & Justice, P. (2023). Business intelligence. In AI-based data analytics: Applications for business management. https://doi.org/10.1201/9781032614083-4 [Google Scholar] [Crossref]

39. Ionescu, L. (2022). Big data algorithms and artificial intelligence technologies in cloud-based accounting information systems. Analysis and Metaphysics, 21, 42–57. https://doi.org/10.22381/ AM2120223 [Google Scholar] [Crossref]

40. Järvenpää, M., Hoque, Z., Mättö, T., & Rautiainen, A. (2023). Controllers’ role in managerial sensemaking and information trust building in a business intelligence environment. International Journal of Accounting Information Systems, 50. https://doi.org/10.1016/j.accinf.2023.100627 [Google Scholar] [Crossref]

41. Jia, T., Wang, C., Tian, Z., Wang, B., & Tian, F. (2022). Design of digital and intelligent financial decision support system based on artificial intelligence. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/1962937 [Google Scholar] [Crossref]

42. Jin, T., Zhang, B., & Yang, Z. (2022). Cloud statistics of accounting informatization based on statistics mining. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/ 2022/3493678 [Google Scholar] [Crossref]

43. Kalantari, B., Mehrmanesh, H., & Saeedi, N. (2012). Ranking the driving affecting factors on management accounting: Business intelligence approach. World Applied Sciences Journal, 20(8), 1147–1151. https://doi.org/10.5829/idosi.wasj.2012.20.08.2482 [Google Scholar] [Crossref]

44. Kielanowicz, Z., Wnuk-Pel, T., Christauskas, C., & Kazlauskiene, V. (2023). Assessment of IT tools used for operational budgeting in Polish and Lithuanian companies. Engineering Economics, 34(2), 158–174. https://doi.org/10.5755/j01.ee.34.2.30480 [Google Scholar] [Crossref]

45. Knauer, T., Nikiforow, N., & Wagener, S. (2020). Determinants of information system quality and data quality in management accounting. Journal of Management Control, 31(1–2), 97–121. https://doi.org/10.1007/s00187-020-00296-y [Google Scholar] [Crossref]

46. Knudsen, D.-R. (2020). Elusive boundaries, power relations, and knowledge production: A systematic review of the literature on digitalisation in accounting. International Journal of Accounting Information Systems, 35. https://doi.org/10.1016/j.accinf.2019.100441 [Google Scholar] [Crossref]

47. Koh, S., Lee, H. H., & Perdana, A. (2023). Data analytics in an undergraduate accountancy programme: The spaced retrieval method. In Handbook of big data and analytics in accounting and auditing. https://doi.org/10.1007/978-981-19-4460-4_18 [Google Scholar] [Crossref]

48. 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), 253–280. https://doi.org/10.1108/ AAAJ-12-2016-2809 [Google Scholar] [Crossref]

49. Kostić, N., & Sedej, T. (2022). Blockchain technology, inter-organisational relationships, and management accounting: A synthesis and a research agenda. Accounting Horizons, 35(2), 123–141. https://doi.org/10.2308/horizons-19-147 [Google Scholar] [Crossref]

50. Kurnianingrum, D., Nugraha, N., Disman, D., Purnomo, B. S., & Karmagatri, M. (2023). The role of Twitter in business, economics, and finance research: A bibliometric analysis. Journal of Theoretical and Applied Information Technology, 101(15), 6092–6113. [Google Scholar] [Crossref]

51. Kuzey, C., Uyar, A., & Delen, D. (2019). An investigation of the factors influencing cost system functionality using decision trees, support vector machines and logistic regression. International Journal of Accounting and Information Management, 27(1), 27–55. https://doi.org/10.1108/ IJAIM-04-2017-0052 [Google Scholar] [Crossref]

52. Lenk, M. M., Krahel, J. P., Janvrin, D. J., & Considine, B. (2019). Social technology: An integrated strategy and risk management framework. Journal of Information Systems, 33(2), 129–153. https://doi.org/10.2308/isys-52065 [Google Scholar] [Crossref]

53. Lhuillery, S., Tellechea, M., & Thiéry, S. (2023). Innovation in lieu of compliance: Internal audit departments’ standardized and non-standardized knowledge sources. Technovation, 123. https:// doi.org/10.1016/j.technovation.2023.102720 [Google Scholar] [Crossref]

54. Linnenluecke, M. K., Marrone, M., & Singh, A. K. (2020). Conducting systematic literature reviews and bibliometric analyses. Australian Journal of Management, 45(2), 175–194. https:// doi.org/10.1177/0312896219877678 [Google Scholar] [Crossref]

55. Liu, R., Wang, Y., & Zou, J. (2022). Research on the transformation from financial accounting to management accounting based on Drools rule engine. Computational Intelligence and Neuroscience, 2022, 1–8. https://doi.org/10.1155/2022/9445776 [Google Scholar] [Crossref]

56. Mahlendorf, M. D., Martin, M. A., & Smith, D. (2023). Innovative data–use-cases in management accounting research and practice. European Accounting Review, 32(3), 547–576. https://doi.org/ 10.1080/09638180.2023.2213258 [Google Scholar] [Crossref]

57. Markoulli, M. P., Lee, C. I. S. G., Byington, E., & Felps, W. A. (2017). Mapping human resource management: Reviewing the field and charting future directions. Human Resource Management Review, 27(3), 367–396. https://doi.org/10.1016/j.hrmr.2016.10.001 [Google Scholar] [Crossref]

58. Marx, F., Wortmann, F., & Mayer, J. H. (2012). A maturity model for management control systems: Five evolutionary steps to guide development. Business and Information Systems Engineering, 4(4), 193–207. https://doi.org/10.1007/s12599-012-0220-x [Google Scholar] [Crossref]

59. Mauludina, M. A., Mulyani, S., & Adrianto, Z. (2023). Critical success factors for implementation of self-service business intelligence in management accounting. Academic Journal of Interdisciplinary Studies, 12(3), 291–307. https://doi.org/10.36941/ajis-2023-0078 [Google Scholar] [Crossref]

60. Mingers, J., & Yang, L. (2017). Evaluating journal quality: A review of journal citation indicators and ranking in business and management. European Journal of Operational Research, 257(1), 323–337. https://doi.org/10.1016/j.ejor.2016.07.058 [Google Scholar] [Crossref]

61. Mitchell, A., & Rich, M. (2022). Literature reviews: What are the challenges, and how can students and new business researchers be successful? Electronic Journal of Business Research Methods, 20(3), 99–110. https://doi.org/10.34190/ejbrm.20.3.2922 [Google Scholar] [Crossref]

62. Mudau, T. N., Cohen, J., & Papageorgiou, E. (2024). Determinants and consequences of routine and advanced use of business intelligence (BI) systems by management accountants. Information and Management, 51(1). https://doi.org/10.1016/j.im.2023.103888 [Google Scholar] [Crossref]

63. Mukherjee, D., Lim, W. M., Kumar, S., & Donthu, N. (2022). Guidelines for advancing theory and practice through bibliometric research. Journal of Business Research, 148, 101–115. https:// doi.org/10.1016/j.jbusres.2022.04.042 [Google Scholar] [Crossref]

64. Munir, S., Abdul Rasid, S. Z., Aamir, M., Jamil, F., & Ahmed, I. (2023). Big data analytics capabilities and innovation effect of dynamic capabilities, organisational culture and role of management accountants. Foresight, 25(1), 41–66. https://doi.org/10.1108/FS-08-2021-0161 [Google Scholar] [Crossref]

65. Najafi, A., Soleimanpur, S., & Morady, Z. (2022). The impact of information technology methods on accounting information quality: Empirical evidence from Iran. Journal of Information and Organisational Sciences, 45(1), 63–77. https://doi.org/10.31341/jios.46.1.4 [Google Scholar] [Crossref]

66. Nguyen, N. M., Abu Afifa, M., & Van Bui, D. (2023). Blockchain technology and sustainable performance: Moderated-mediating model with management accounting system and digital transformation. Environment, Development and Sustainability. https://doi.org/10.1007/ s10668-023-04189-7 [Google Scholar] [Crossref]

67. Nielsen, S. (2018). Reflections on the applicability of business analytics for management accounting – and future perspectives for the accountant. Journal of Accounting and Organisational Change, 14(2), 167–187. https://doi.org/10.1108/JAOC-11-2014-0056 [Google Scholar] [Crossref]

68. 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 Organisational Change, 18(5), 811–853. https://doi.org/10.1108/JAOC-08-2020-0107 [Google Scholar] [Crossref]

69. Nielsen, S. (2023). Business analytics: An example of integration of TD-ABC and the balanced scorecard. International Journal of Productivity and Performance Management, 72(8), 2197–2224. https://doi.org/10.1108/IJPPM-05-2020-0244 [Google Scholar] [Crossref]

70. Oesterreich, T. D., & Teuteberg, F. (2019). The role of business analytics in the controllers and management accountants’ competence profiles: An exploratory study on individual-level data. Journal of Accounting and Organisational Change, 15(2), 330–356. https://doi.org/10.1108/ JAOC-10-2018-0097 [Google Scholar] [Crossref]

71. Oleiwi, R. (2023). The extent to which textbooks fulfill the requirements of digital transformation in accounting and auditing. International Journal of Professional Business Review, 8(5). https:// doi.org/10.26668/businessreview/2023.v8i5.1509 [Google Scholar] [Crossref]

72. Osare, F., & Keshvari, M. (2023). Evaluation of a scientific productivity model among world highly cited authors: A study based on experts’ opinions. Journal of the Knowledge Economy. https:// doi.org/10.1007/s13132-023-01613-1 [Google Scholar] [Crossref]

73. Oyewo, B., & Tran, D. K. (2021). Enhancing the competitiveness of business and management consulting firms through the application of big data and analytics. Singapore Economic Review. https://doi.org/10.1142/S0217590821500259 [Google Scholar] [Crossref]

74. Pagani, R. N., Pedroso, B., dos Santos, C. B., Picinin, C. T., & Kovaleski, J. L. (2023). Methodi Ordinatio 2.0: Revisited under statistical estimation, and presenting FInder and RankIn. Quality and Quantity, 57(5), 4563–4602. https://doi.org/10.1007/s11135-022-01562-y [Google Scholar] [Crossref]

75. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Whiting, P., & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. The BMJ, 372. https://doi.org/10.1136/bmj.n71 [Google Scholar] [Crossref]

76. Papiorek, K. L., & Hiebl, M. R. W. (2023). Information systems quality in management accounting and management control effectiveness. Journal of Accounting and Organisational Change. https:// doi.org/10.1108/JAOC-09-2022-0148 [Google Scholar] [Crossref]

77. Peters, M. D., Wieder, B., & Sutton, S. G. (2018). Organisational improvisation and the reduced usefulness of performance measurement BI functionalities. International Journal of Accounting Information Systems, 29, 1–15. https://doi.org/10.1016/j.accinf.2018.03.005 [Google Scholar] [Crossref]

78. Ping, W. (2021). Data mining and XBRL integration in management accounting information based on artificial intelligence. Journal of Intelligent and Fuzzy Systems, 40(4), 6755–6766. https:// doi.org/10.3233/JIFS-189509 [Google Scholar] [Crossref]

79. Poyda-Nosyk, N., Borkovska, V., Bacho, R., Loskorikh, G., Hanusych, V., & Cherkes, R. (2023). The role of digitalisation of transfer pricing in the company’s management accounting system. International Journal of Applied Economics, Finance and Accounting, 17(1), 176–185. https:// doi.org/10.33094/ijaefa.v17i1.1096 [Google Scholar] [Crossref]

80. Pratama, A. (2024). Quality of accounting knowledge and its impact on profession. Quality-Access to Success, 25(198), 246–263. https://doi.org/10.47750/QAS/25.198.27b [Google Scholar] [Crossref]

81. Qin, J., & Qin, Q. (2021). Cloud platform for enterprise financial budget management based on artificial intelligence. Wireless Communications and Mobile Computing, 2021. https://doi.org/ 10.1155/2021/8038433 [Google Scholar] [Crossref]

82. Qiu, J. (2022). Analysis of human interactive accounting management information systems based on artificial intelligence. Journal of Global Information Management, 30(7). https://doi.org/ 10.4018/JGIM.294905 [Google Scholar] [Crossref]

83. Ranta, M., Ylinen, M., & Järvenpää, M. (2023). Machine learning in management accounting research: Literature review and pathways for the future. European Accounting Review, 32(3), 607–636. https://doi.org/10.1080/09638180.2022.2137221 [Google Scholar] [Crossref]

84. Rasit, Z. A., & Ismail, K. (2017). Incorporating contingency theory in understanding factors influencing target costing adoption. Advanced Science Letters, 23(8), 7804–7808. https://doi.org/ 10.1166/asl.2017.9581 [Google Scholar] [Crossref]

85. Rautiainen, A., Scapens, R. W., Järvenpää, M., Auvinen, T., & Sajasalo, P. (2024). Towards fluid role identity of management accountants: A case study of a Finnish bank. British Accounting Review. https://doi.org/10.1016/j.bar.2024.101341 [Google Scholar] [Crossref]

86. Richins, G., Stapleton, A., Stratopoulos, T. C., & Wong, C. (2017). Big data analytics: Opportunity or threat for the accounting profession? Journal of Information Systems, 31(3), 63–79. https:// doi.org/10.2308/isys-51805 [Google Scholar] [Crossref]

87. Rikhardsson, P., & Yigitbasioglu, O. (2018). Business intelligence & analytics in management accounting research: Status and future focus. International Journal of Accounting Information Systems, 29, 37–58. https://doi.org/10.1016/j.accinf.2018.03.001 [Google Scholar] [Crossref]

88. Rothstein, S. A. (2024). Transnational governance of digital transformation: Financing innovation in Europe’s periphery. New Political Economy, 29(2), 227–239. https://doi.org/10.1080/ 13563467.2023.2240236 [Google Scholar] [Crossref]

89. Sahoo, S., Kumar, A., Mishra, R., & Tripathi, P. (2022). Strengthening supply chain visibility with blockchain: A PRISMA-based review. IEEE Transactions on Engineering Management. https:// doi.org/10.1109/TEM.2022.3206109 [Google Scholar] [Crossref]

90. Samanthi, D., & Gooneratne, T. (2023). Bean counter to value-adding business partner: The changing role of the accountant and situated rationality in a multinational firm. Journal of Accounting and Organisational Change, 19(3), 513–535. https://doi.org/10.1108/JAOC-04-2022-0063 [Google Scholar] [Crossref]

91. Shchyrba, I., Savitskaya, M., Fursa, T., Yeremіan, O., & Ostropolska, Y. (2024). Management accounting: The latest technologies, ChatGPT capabilities. Financial and Credit Activity: Problems of Theory and Practice, 1(54), 160–172. https://doi.org/10.55643/ fcaptp.1.54.2024.4307 [Google Scholar] [Crossref]

92. Shkulipa, L. (2021). Blockchain, XBRL, IFRS relevance among current accounting publications: Quantification of the largest publishers. International Journal of Economics Management and Accounting, 29(2), 433–497. [Google Scholar] [Crossref]

93. Sidorova, M., Kopus, T., & Yurasova, I. (2023). Digital transformation for teaching management accounting: Training with a simulation in an authentic professional environment. Accounting Education. https://doi.org/10.1080/09639284.2023.2255980 [Google Scholar] [Crossref]

94. Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. [Google Scholar] [Crossref]

95. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039 Steens, B., Bots, J., & Derks, K. (2024). Developing digital competencies of controllers: Evidence from the Netherlands. International Journal of Accounting Information Systems, 52. https:// doi.org/10.1016/j.accinf.2023.100667 [Google Scholar] [Crossref]

96. Strohmeyer, R., & Wenngren, A. (2011). Get the most out of the cloud. PC World (San Francisco, CA), 29(7), 79–84. [Google Scholar] [Crossref]

97. Svobodova, L. (2016). Managerial accounting and utilization of software. Advanced Science Letters, 22(5–6), 1568–1572. https://doi.org/10.1166/asl.2016.6685 [Google Scholar] [Crossref]

98. Szukits, A. (2022). The illusion of data-driven decision making – The mediating effect of digital orientation and controllers’ added value in explaining organisational implications of advanced analytics. Journal of Management Control, 33(3), 403–446. https://doi.org/10.1007/s00187-022-00343-w [Google Scholar] [Crossref]

99. Tiitola, V., Jalonen, T., Rantanen-Flores, M., Korhonen, T., Ruusuvuori, J., & Laine, T. (2024). Discourse analysis on sustaining the maieutic role “when management accounting goes digital.” Qualitative Research in Accounting and Management. https://doi.org/10.1108/QRAM-11-2022-0198 [Google Scholar] [Crossref]

100. Tiron-Tudor, A., & Deliu, D. (2021). Big data’s disruptive effect on job profiles: Management accountants’ case study. Journal of Risk and Financial Management, 14(8). https://doi.org/ 10.3390/jrfm14080376 [Google Scholar] [Crossref]

101. van Eck, N. J., & Waltman, L. (2009). VOSviewer: A computer program for bibliometric mapping. [Google Scholar] [Crossref]

102. 12th International Conference on Scientometrics and Informetrics, ISSI 2009, 886–897. van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/ s11192-009-0146-3 [Google Scholar] [Crossref]

103. van Eck, N. J., Waltman, L., Noyons, E. C. M., & Buter, R. K. (2010). Automatic term identification for bibliometric mapping. Scientometrics, 82(3), 581–596. https://doi.org/10.1007/ s11192-010-0173-0 [Google Scholar] [Crossref]

104. van Eck, N., & Waltman, L. (2011). Text mining and visualization using VOSviewer. http:// www.vosviewer.com [Google Scholar] [Crossref]

105. Varma, A., Mancini, D., & Kaushik, S. (2024). Sustainability reporting: How consistency and interdependence in financial and managerial accounting enhance eco-controls. Journal of Public Affairs, 24(1). https://doi.org/10.1002/pa.2910 [Google Scholar] [Crossref]

106. Vărzaru, A. A. (2022a). Assessing artificial intelligence technology acceptance in managerial accounting. Electronics (Switzerland), 11(14). https://doi.org/10.3390/electronics11142256 [Google Scholar] [Crossref]

107. Vărzaru, A. A. (2022b). Assessing digital transformation of cost accounting tools in healthcare. International Journal of Environmental Research and Public Health, 19(23). https://doi.org/ 10.3390/ijerph192315572 [Google Scholar] [Crossref]

108. Vărzaru, A. A. (2022c). Assessing the impact of AI solutions’ ethical issues on performance in managerial accounting. Electronics (Switzerland), 11(14). https://doi.org/10.3390/ electronics11142221 [Google Scholar] [Crossref]

109. Vărzaru, A. A., Bocean, C. G., Criveanu, M. M., Budică-Iacob, A.-F., & Popescu, D. V. (2023). [Google Scholar] [Crossref]

110. Assessing the contribution of managerial accounting in sustainable organisational development in the healthcare industry. International Journal of Environmental Research and Public Health, 20(4). https://doi.org/10.3390/ijerph20042895 [Google Scholar] [Crossref]

111. Vuokko, R. (2006). Work ethics and effectiveness in home care: Rationalization through technological innovation. IFIP International Federation for Information Processing, 195. https:// doi.org/10.1007/0-387-31168-8_17 [Google Scholar] [Crossref]

112. Wang, H., Zhang, Y., Chen, X., & Wu, J. (2024). Construction of enterprise asset management accounting system based on blockchain technology. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0231 [Google Scholar] [Crossref]

113. Warren, J. D., Moffitt, K. C., & Byrnes, P. (2015). How big data will change accounting. Accounting Horizons, 29(2), 397–407. https://doi.org/10.2308/acch-51069 [Google Scholar] [Crossref]

114. Wei, R., & Yao, S. (2020). Transformation from financial accounting to management accounting: A study of the offshore oil enterprises. Journal of Coastal Research, 107(sp1), 9–12. https://doi.org/ 10.2112/JCR-SI107-003.1 [Google Scholar] [Crossref]

115. Xiao, Y., & Watson, M. (2019). Guidance on conducting a systematic literature review. Journal of Planning Education and Research, 39(1), 93–112. https://doi.org/10.1177/0739456X17723971 [Google Scholar] [Crossref]

116. Youssef, M. A. E.-A., & Mahama, H. (2021). Does business intelligence mediate the relationship between ERP and management accounting practices? Journal of Accounting and Organisational Change, 17(5), 686–703. https://doi.org/10.1108/JAOC-02-2020-0026 [Google Scholar] [Crossref]

117. Zadorozhnyi, Z. M. V., Murayskyi, V. V., & Shevchuk, O. A. (2018). Management accounting of electronic transactions with the use of cryptocurrencies. Financial and Credit Activity - Problems of Theory and Practice, 3(26), 169–177. https://doi.org/10.18371/fcaptp.v3i26.144368 [Google Scholar] [Crossref]

118. Zeng, Y. (2022). Neural network technology-based optimization framework of financial and management accounting model. Computational Intelligence and Neuroscience, 2022. https:// doi.org/10.1155/2022/4991244 [Google Scholar] [Crossref]

119. Zeng, Z., & Shi, L. (2021). A two-dimensional journal classification method based on output and input factors: Perspectives from citation and authorship related indicators. Scientometrics, 125(5), 3929–3964. https://doi.org/10.1007/s11192-021-03924-z [Google Scholar] [Crossref]

120. Zhang, C., Zhu, W., Dai, J., Wu, Y., & Chen, X. (2023). Ethical impact of artificial intelligence in managerial accounting. International Journal of Accounting Information Systems, 49. https:// doi.org/10.1016/j.accinf.2023.100619 [Google Scholar] [Crossref]

121. Zhang, X. (2021). Application of data mining and machine learning in management accounting information system. Journal of Applied Science and Engineering (Taiwan), 24(5), 813–820. https://doi.org/10.6180/jase.202110_24(5).0018 [Google Scholar] [Crossref]

122. Zhang, X. (2023). Investigating bio cloud-oriented university tax accounting specifications and advancements in university accounting information systems. Journal of Commercial Biotechnology, 28(3), 304–314. https://doi.org/10.5912/jcb1619 [Google Scholar] [Crossref]

123. Zhu, H., & Liu, C. (2023). Application of 5G internet of things in the construction of enterprise management accounting information system. Soft Computing. https://doi.org/10.1007/ s00500-023-09094-9 [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles