Analyzing the Effective Dimensions of Emerging Technologies on the Accounting Profession: A Meta-synthesis

Document Type : Research Paper

Authors

1 Assistant Prof., Department of Accounting, Kerman Branch, Islamic Azad University, Kerman, Iran.

2 MSc., Department of Accounting, Kerman Branch, Islamic Azad University, Kerman, Iran.

10.22059/acctgrev.2024.369192.1008891

Abstract

Objective
In recent years, the rapid advancement of technology has significantly reduced information distortions and eased restrictions on accessing information. Accounting is one of the fields most influenced by these changes. Emerging technologies, such as artificial intelligence, blockchain, and cloud computing, have improved data quality and increased the speed of access to information. Therefore, identifying these technologies and evaluating their efficiency has become essential for survival in the current information age. This research aims to identify the effective dimensions of these new technologies on the accounting profession to enhance its capabilities and increase efficiency in real-time decision-making.
Methods
This research is qualitative, applied in its objectives, descriptive in methodology, and employs a survey approach. By adopting a systematic approach and considering the study's exploratory nature, this research aims to identify and analyze the significant effects of new technologies on the accounting profession. It also highlights the necessity of systematically and methodically analyzing the effective dimensions of these technologies and integrating the findings of previous studies that have addressed this subject. The qualitative meta-synthesis method of Sandelowski and Barroso, consisting of seven stages, was utilized to achieve this objective. The sample included 40 articles selected from the research period spanning March 2019 to October 2020. After extracting the effective dimensions of these new technologies using the meta-synthesis method, the impact coefficient of each dimension was determined through the Shannon Entropy method based on a content analysis approach. Finally, the categorized components were ranked using the SWARA method.
 
 
Results
The findings of this study indicate that the effective dimensions of new technologies on the accounting profession are categorized into 64 components across 12 categories. After processing the data using the meta-synthesis analysis and Shannon Entropy, it was determined that factors such as increased accuracy, improved comprehensiveness and precision of reporting, reduction of redundancy, and accurate data analysis are of greater importance among the identified components. Conversely, environmental impacts, including air pollution, reduced energy consumption, and decreased greenhouse gas emissions, are of the least importance. Based on the SWARA method, time and cost management ranked highest among the categories.
Conclusion
According to the research findings, emerging technologies have significantly increased the efficiency and improved the quality of accounting processes. These technologies have transformed accountants from data entry operators into analysts and, by simplifying tasks, have led to greater employee productivity. Furthermore, by providing immutable, secure, and reliable data, they help reduce fraud and manipulation while improving the quality of financial reporting. This, in turn, enhances management’s perspective and supports more informed decision-making. This research offers a fresh perspective enabling accountants and organizational managers to take more strategic and informed steps toward the development and sustainability of their organizations.

Keywords

Main Subjects


 
Agrifoglio, R. & De Gennaro, D. (2022). New Ways of Working through Emerging Technologies: A Meta-Synthesis of the Adoption of Blockchain in the Accountancy Domain. Journal of Theoretical and Applied Electronic Commerce Research, 17(2), 836–850.
Almagtome, A. (2021). Artificial intelligence applications in accounting and financial reporting systems. In IGI Global eBooks (pp. 540–558).
Alwan, A. A. (2022). Effect of using Cloud Computing technology on the accounting job. International Journal of Research in Social Sciences and Humanities, 12(02), 348–363.
Andronie, M. & Ionescu, L. (2019). The influence of cloud thechnology in transforming accounting practices. Annals of Spiru Haret University Economic Series, 19(4), 27–34.
Annoni, A., Benczúr, P., Paolo, B., Delipetrev, B., Giuditta, D. P., Feijóo, C., Enrique, F. M., Emilia, G. G., Maria, I. P., Junklewitz, H., Montserrat, L. C., Bertin, M., Susana, F. D. N., Nativi, S., Alexandre, P., Ignacio, S. M. J., Tolan, S., Tuomi, I., & Lucia, V. A. (2018). Artificial intelligence: a European perspective. https://doi.org/10.2760/11251
Bagheriyan, M., Saadat, P. & Mesali, M. (2023). The role of artificial intelligence and its importance in accounting systems, Journal of New Research Approaches in Management and Accounting, 7(88), 713-727. (in Persian)
Bahoo, S., Cucculelli, M. & Qamar, D. (2022). Artificial intelligence and corporate innovation: A review and research agenda. Technological Forecasting and Social Change, 188, 122-264.
Banta, V. C., Rîndasu, S. M., Tănasie, A., & Cojocaru, D. (2022). Artificial intelligence in the accounting of international businesses: a perception-based approach. Sustainability, 14(11), 6632.
Bench, S. & Day, T. (2010). The user experience of critical care discharges: a meta-synthesis of qualitative research. International journal of nursing studies: 47, 487-499.
Benlian, A., Kettinger, W. J., Sunyaev, A. & Winkler, T. J. (2018). Special section: The Transformative Value of Cloud Computing: A Decoupling, Platformization, and Recombination Theoretical Framework. Journal of Management Information Systems, 35(3), 719–739.
Chukwuani, V. N. & Egiyi, M. A. (2020). Automation of accounting processes: impact of artificial intelligence. International Journal of Research and Innovation in Social Science, 4(8), 444-449.
Cockcroft, S. & Russell, M. W. (2018). Big data opportunities for accounting and finance practice and research. Australian Accounting Review, 28(3), 323–333.
De Raadt, A., Warrens, M. J., Bosker, R. J., & Kiers, H. A. (2019). Kappa coefficients for missing data. Educational and psychological measurement, 79(3), 558-576. https://doi.org/10.1177/0013164418823249
De Sousa, W. G., De Melo, E. R. P., De Souza Bermejo, P. H., De Souza Bermejo, P. H. & De Oliveira Gomes, A. (2019). How and where is artificial intelligence in the public sector going? A literature review and research agenda. Government Information Quarterly, 36(4). https://doi.org/10.1016/j.giq.2019.07.004.
Deloitte., (2017). Blockchain in banking while the interest is huge, challenges remain for large scale adoption. Available at: https://www2.deloitte.com/content/dam/Deloitte/in/ Documents/strategy/in-strategy-innovation-blockchain-in-banking-noexp.pdf
Dewi, A. R. (2022). The role of information technology in the development of computerized audit. Jurnal Ilmiah Manajemen, Ekonomi & Akuntansi, 6(2), 1947-1964.
 Dianati Deylami, Z. (2019). Quantitative and qualitative methods in accounting, Tehran: Adalat Novin Publishing House. (in Persian)
Farahani, M. S. & Esfahani, A. (2022). Opportunities and Challenges of Applying Artificial Intelligence in the Financial Sectors and Startups during the Coronavirus Outbreak. International Journal of Innovation in Management Economics and Social Sciences, 2(4), 33–55.
Fekete, S., Tiron-Tudor, A. & Muţiu, A. (2009). Determinants of the comprehensiveness of corporate internet reporting by Romanian listed companies, Social Science Research Networ, http://dx.doi.org/10.2139/ssrn.1517665
Feng, T. (2019). An Exploratory Study of Digital Disruption in the Accounting Profession Through the Lens of Disruptive Innovation Theory, Thesis PhD, Macquarie University Sydney, Australia.
Gartner (2012). What is big data? Gartner IT glossary - Big data. Available on the internet at https://www.gartner.com/it-glossary/big-data/
Gomber, P., Kauffman, R. J., Parker, C. & Weber, B. W. (2018). On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services. Journal of Management Information Systems, 35(1), 220–265.
Gulin, D., Hladika, M. & Valenta, I. (2019). Digitalization and the challenges for the accounting profession. Social Science Research Network, 12(4), 428-437.
Haghparast, Abbasali, Momeni, Alireza, Gord, Aziz and Mansoori, Fardin (2021). The Role of Visual Financial Ratios in Predicting Corporate Bankruptcy Using Convolutional Neural Network Models and Comparing them with Traditional Models. Accounting and Auditing Review, 28(3), 553-573. https://doi.org/10.22059/ACCTGREV.2021.303960.1008384 (in Persian)
Han, H., Shiwakoti, R. K., Jarvis, R., Mordi, C. & Botchie, D. (2023). Accounting and auditing with blockchain technology and artificial Intelligence: A literature review. International Journal of Accounting Information Systems, 48, https://doi.org/10.1016/j.accinf.2022.100598.
Herath, S. K. & Hamm, A. (2023). How big data analytics is used in forensic accounting and auditing. The business and management review, 14(1), 125-132.
Hidayat, R. T. & Khabibi, A. (2020). The Big Data Era: What are the Implications for the World of Accounting? Majalah Ilmiah Bijak, 17(2), 248–254.
Hong, C. (2019). User Readiness and Intention to adopt Blockchain Technology: Viewpoint of Accounting Practitioners in Malaysia, Master’s thesis, University of Utara, Malaysia.
Hung, B. Q., Hoa, T. A., Hoai, T. T. & Nguyen, N. P. (2023). Advancement of cloud-based accounting effectiveness, decision-making quality and firm performance through digital transformation and digital leadership: Empirical evidence from Vietnam, Heliyon, 9(6), https://doi.org/10.1016/j.heliyon.2023.e16929.
Iansiti, M. Lakhani, K. R. & Mohamed, H. (2017). It will take years to transform business, but the journey begins now. Harvard Business Review, 95(1), 118-128.
Jalonen, J. (2023). Artificial Intelligence as a Part of Financial Management Development –Automation of Accounts Payable Processes, Master’s thesis, Tampere University of Applied Sciences, Tampere, Finland.
Jalonen, T. (2019). Management Accounting Information in Decision-Making: Unveiling possibilities for AI, Master’s thesis, Tampere University of Applied Sciences. Tampere, Finland.
Kersuliene, V., Zavadskas, E. K. & Turskis, Z. (2010). Selectin of rational dispute resolution method by applying new Step-Wise Weight Assessment Ratio Analysis (SWAR). Journal of Business Economics and Management, 11(2), 243–258.
Kindzeka, K. C. (2023). Impact of artificial intelligence on accounting, auditing and financial reporting. American Journal of Computing and Engineering, 6(1), 29–34.
Kitsantas, T. & Chytis, E. (2022). Blockchain technology as an ecosystem: Trends and perspectives in accounting and management. Journal of Theoretical and Applied Electronic Commerce Research, 17(3), 1143-1161.
Kommunuri, J. (2022). Artificial intelligence and the changing landscape of accounting: a viewpoint. Pacific Accounting Review, 34(4), 585–594.
Kozlowski, S. (2018). An audit ecosystem to support blockchain-based accounting and assurance. In Emerald Publishing Limited eBooks .299–313.
Krippendorff, K. (2004). Content analysis, an Introduction to Its Metodology (2th ed.).
Sag publications, chapter 11.
Kroon, N., Alves, M. D. C. G. & Martins, I. (2021). The Impacts of Emerging Technologies on Accountants’ Role and Skills: Connecting to Open Innovation- A Systematic Literature Review. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 163.
Kureljusic, M. & Karger, E. (2023). Forecasting in financial accounting with artificial intelligence- A systematic literature review and future research agenda. Journal of Applied Accounting Research. https://doi.org/10.1108/jaar-06-2022-0146
Lawshe, C. H. (1975). A quantitative approach to content validity1. Personnel psychology, 28 (4), 563-575.
Lehner, O. M., Ittonen, K. Silvola, H. Ström, E. & Wührleitner, A. (2022). Artificial intelligence based decision-making in accounting and auditing: ethical challenges and normative thinking. Accounting, Auditing & Accountability, 35(9), 109–135.
Leitner-Hanetseder, S. & Lehner, O. M. (2022). AI-powered information and Big Data: current regulations and ways forward in IFRS reporting. Journal of Applied Accounting Research, 24(2), 282–298.
Leitner-Hanetseder, S., Lehner, O. M., Eisl, C. & Forstenlechner, C. (2021). A profession in transition: actors, tasks and roles in AI-based accounting. Journal of Applied Accounting Research, 22(3), 539–556.
Li, X. & Xu, J. (2018). The impact of big data and cloud computing on traditional accounting industry. DEStech Transactions on Social Science, Education and Human Science, amse. https://doi.org/10.12783/dtssehs/amse2018/24835
Liu, Q. & Vasarhelyi, M. A. (2014). Big questions in AIS research: measurement, information processing, data analysis, and reporting. Journal of Information Systems, 28(1), 1–17.
Losbichler, H. & Lehner, O. M. (2020). Limits of artificial intelligence in controlling and the ways forward: a call for future accounting research. Journal of Applied Accounting Research, 22(2), 365–382.
Ma, D., Fisher, R. & Nesbit, T. (2021). Cloud-based client accounting and small and medium accounting practices: Adoption and impact. International Journal of Accounting Information Systems, 41,https://doi.org/10.1016/j.accinf.2021.100513
Mai, X. (2021b). Distributed accounting and blockchain technology in financial accounting. Journal of Physics, 1881(2), https://doi.org/10.1088/1742-6596/1881/2/022078
Mansouri, M.J., Karami, Gh.R. & Yazdani, H.R. (2024). Identifying Key Drivers Influencing the Future of Auditing: A Meta-Synthesis Approach. Accounting and Auditing Review, 31(2), 390-427. (in Persian)
Mirafazli Saryazai, M., Siddiquian, M.J. & Shahedi Gavafshadi, M. (2021). Introduction to impact Artificial intelligence in accounting, the second international conference on new challenges and solutions in industrial engineering and management and accounting, Damghan. (in Persian)
Mistry, J. J. (2019). Cost allocation and information technology. Engineering Management Review, 47(1), 77–85.
Nani, A. (2023). Valuing big data: An analysis of current regulations and proposal of frameworks. International Journal of Accounting Information Systems, 51, https://doi.org/10.1016/j.accinf.2023.100637
Naqvi, A. (2020). Artificial intelligence for audit, forensic accounting, and valuation: a strategic perspective. John Wiley & Sons.
Noor, W. N. B. W. M., Razak, S. N. A. A., Jusoh, Y. H. M., Hasan, S. J., & Ariffin, M. Z. (2022). Analysing Accounting Professionals’ Readiness for Digital Economy Using the Theory of Organisational Readiness for Change. International Journal of Academic Research in Business and Social Sciences, 12(11), 1652-1672.
Parvaneh, F., Darabi, R. & Chaharmahali, S. (2023). Comparing the Effect of Information Quality on Economic Profit and Accounting Profit with the Artificial Intelligence Approach. Iranian Journal of Finance, 7(2), 22–47.
Rahmani, A., Mollanazari, M., Faal Ghayoumi, A., Mahmoudkhani, M., Behbahaninia, P.S., Parsaei, M., Ghadirian Arani, M.H. & Khadivar, Ameneh (2022). Design of the Financial Management and Accounting Maturity Model for Public Sector Entities. Accounting and Auditing Review, 29(2), 287-310. (in Persian)
Ratynskyi, V. (2021). Information technologies in accounting. prospects and problems. Ekonomìka, Fìnansi, Pravo, 4(1), 17–20.
Rodrigues, L., Pereira, J. M., Da Silva, A. F. & Ribeiro, H. (2023). The impact of artificial intelligence on audit profession. Journal of Information Systems Engineering and Management, 8(1). https://doi.org/10.55267/iadt.07.12743.
Saghafi, A. & Jovani Qalandari, M. (2016). How will big data change financial accounting? Journal of Accounting research, 6(3), 35-50. (in Persian)
Sajadi, S.H., Asnaashari, H. & Shakeri, A. (2023). The Impact of Innovative Culture on the Implementation of Strategic Management Accounting Techniques. Accounting and Auditing Review, 30(1), 1-27. (in Persian)
Sandelowski, M. &  Barroso, J. (2006). Handbook for synthesizing qualitative research. Springer Publishing Company
Saraf, F. & Farhangian, A. (2023). Application of artificial intelligence accounting, Journal of New Research Approaches in Management and Accounting, 6(87), 108-124. (in Persion)
Savaliya, R. R., Atmakuri, P. & Prasad, M. R. (2023, April). Application of cloud computing and big data in accounting software. In 2023 eighth international conference on science technology engineering and mathematics (ICONSTEM) (pp. 1-6). IEEE.
Sfetcu, N. (2019). Filosofia tehnologiei blockchain - Ontologii. In Zenodo (CERN European Organization for Nuclear Research). European Organization for Nuclear Research. https://doi.org/10.13140/rg.2.2.25492.35204
Stancheva-Todorova, E. (2018). How artificial intelligence is challenging accounting profession. Economy & Business Journal, 12(1), 126–141.
Stancheva-Todorova, E. P. (2020). Blockchain Applications in the Accounting Domain. Economy & Business Journal, 14(1), 183-201.
Straathof, S. (2012). A note on Shanon's entropy as an index of product variety, Research Memorandum from Maastricht University 31.
Sun, H. (2023). Construction of integration path of management accounting and financial accounting based on big data analysis. Optik, 272, 170321. https://doi.org/10.1016/j.ijleo.2022.17032
Tootchi Fatidehi, M., Hoseini, A., Mirshahvelayati, F., Mahdizade Ashrafi, A. & Jadidi Aval, K. (2022). Investigating the effective factors of blockchain technology efficiency in the audit profession by meta-synthesis method. Journal of Accounting Knowledge &Management Auditing, 11(43), 113-126. (in Persian)
Tran, M. (2022). Artificial Intelligence in Management Accounting The impacts and future expectations of AI in Finnish businesses’ operational process, Vaasan Ammattikorkeakoulu University of Applied Science. Vaasa, Finland.
Ucoglu, D. (2020). Current machine learning applications in accounting and auditing. Journal of Business, Economics and Finance, 12(1), 1–7.
Vaghfi, H. & Arabian Asl, M. (2021). The impact of artificial intelligence technology on therefineries accounting ( Case study: Fajr Jam Gas Refinery). Quarterly Journal of Public Sector Accounting & Budgeting, 2(6), 24-38. (in Persian)
Varma, A., Piedepalumbo, P. & Mancini, D. (2021). Big data and accounting: A bibliometric study. The International Journal of Digital Accounting Research, 21(27), 203-238.
Vasarhelyi, M. A. (2013). Formalization of standards, automation, robots, and IT governance. Journal of Information Systems, 27(1), 1–11.
WarrenJr, J. D., Moffitt, K. C. & Byrnes, P. (2015). How big data will change accounting. Accounting Horizons, 29(2), 397–407.
Xero. (2018). Xero app marketplace. Available on the internet at https://www.xero.com/au/marketplace/s/app-functions.
Yigitbasioglu, O., Green, P. & Cheung, M. D. (2022). Digital transformation and accountants as advisors. Accounting, Auditing & Accountability, 36(1), 209–237.
Yoon, S. (2020). A Study on the Transformation of Accounting Based on New Technologies: Evidence from Korea. Sustainability, 12(20), 69-86.
Zemánková, A. (2019). Artificial Intelligence in Audit and Accounting: Development, Current Trends, Opportunities and Threats - Literature Review. International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO). https://doi.org/10.1109/iccairo47923.2019.00031
Zhang, C., Cho, S., & Vasarhelyi, M. A. (2022). Explainable Artificial Intelligence (XAI) in auditing. International Journal of Accounting Information Systems, 46, https://doi.org/10.1016/j.accinf.2022.100572.
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.
Zhang, Y., Xiong, F., Xie, Y., Xuan, F. & Gu, H. (2020). The impact of artificial intelligence and blockchain on the accounting profession. IEEE Access, 8, 110461–110477. https://doi.org/10.1109/access.2020.3000505
Zhu, Y. (2021). Research on Digital Finance Based on Blockchain Technology. International Conference on Computer, Blockchain and Financial Development (CBFD)