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Abstract
Purpose: This study aims to explore recent developments in managerial accounting, focusing on the integration of advanced technologies such as Big Data, Artificial Intelligence (AI), and Blockchain, and their implications for enhancing strategic decision-making and operational efficiency.
Research Method: The research employs a qualitative design, utilizing semi-structured interviews, focus group discussions, and document analysis to gather insights from managerial accountants and financial analysts. Data were analyzed using thematic analysis to identify key themes and patterns.
Results and Discussion: The study reveals that integrating these technologies has revolutionized accounting practices by enabling more accurate forecasting, improving efficiency through automation, and enhancing transparency in financial reporting. Despite the benefits, significant challenges, such as the need for new skills and ethical considerations related to data privacy and security, were identified. The findings support the hypothesis that technological advancements enhance decision-making and operational efficiency, aligning with theories of data-driven decision-making and technological substitution.
Implications: The study highlights the evolving strategic role of managerial accountants and underscores the importance of continuous learning and professional development to leverage these innovations effectively. Practical implications include the need for robust data governance frameworks and the strategic use of predictive analytics to improve risk management and business performance. This research contributes to both academic knowledge and practical applications, offering a comprehensive understanding of how technological advancements are shaping managerial accounting.
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References
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- Kaggwa, J. (2024). Strategic, data-driven approaches in managerial accounting. Journal of Accounting Research, 62(2), 276–295. https://doi.org/10.1111/jare.12236
- Kaplan, R. S., & Norton, D. P. (1996). The Balanced Scorecard: Translating Strategy into Action. Harvard Business Review Press.
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- Varaniūtė, R. (2022). Management accounting in product development: Digitalization, sustainability, and circularity. Sustainability Accounting, Management and Policy Journal, 13(2), 456-475. https://doi.org/10.1108/SAMPJ-09-2021-0408
- Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J. F., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356–365. https://doi.org/10.1016/j.jbusres.2016.08.009
References
Brown, M. (2019). Blockchain technology in accounting: Enhancing transparency and security. Journal of Financial Reporting, 15(2), 105–119. https://doi.org/10.1111/jfr.12345
Carmona, S. (2023). Management accounting and strategy: Complementary perspectives. Strategic Management Journal, 44(3), 567–582. https://doi.org/10.1002/smj.3156
Davis, R. (2021). AI-driven cost management: Theoretical frameworks and empirical validation. Accounting Horizons, 35(1), 89–104. https://doi.org/10.2308/acch-52609
Ebirim, J. (2024). Recent developments in managerial accounting: A focus on technological advancements. Accounting Innovations, 22(1), 34–50. https://doi.org/10.1016/j.accinv.2024.01.003
Eccles, R. G., & Serafeim, G. (2013). The performance frontier: Innovating for a sustainable strategy. Harvard Business Review, 91(5), 50-60.
Ghandour, A. (2021). Predictive and prescriptive analytics in management accounting: Current and future directions. Journal of Management Control, 32(4), 287–309. https://doi.org/10.1007/s00187-021-00313-4
Johnson, M. (2020). Big data analytics in managerial accounting: Improving forecasting and budgeting. Journal of Big Data, 7, Article 53. https://doi.org/10.1186/s40537-020-00353-4
Kaggwa, J. (2024). Strategic, data-driven approaches in managerial accounting. Journal of Accounting Research, 62(2), 276–295. https://doi.org/10.1111/jare.12236
Kaplan, R. S., & Norton, D. P. (1996). The Balanced Scorecard: Translating Strategy into Action. Harvard Business Review Press.
Khakhonova, N. (2021). Challenges and prospects for accounting in an innovative economy: Methodological solutions. Journal of Innovation and Entrepreneurship, 10, Article 45. https://doi.org/10.1186/s13731-021-00160-8
Kroon, T. (2021). Emerging technologies and the changing roles of accountants. Accounting Education, 30(4), 362–375. https://doi.org/10.1080/09639284.2021.1872035
Marrone, M., & Hazelton, J. (2019). Blockchain in accounting practice and research: A systematic literature review. Emerald Insight. https://doi.org/10.1108/JAAR-12-2018-0191
Siegel, G., & Shim, J. K. (2020). The Vest Pocket CFO: Finance and Accounting for the Nonfinancial Manager. Wiley.
Smith, A. (2021). The impact of artificial intelligence on managerial accounting practices. Journal of Accounting and Public Policy, 40(3), 276–289. https://doi.org/10.1016/j.jaccpubpol.2021.106793
Tanaraj, K. (2023). Navigating the future: Blockchain's impact on accounting and auditing practices. Sustainability, 15(24), 16887. https://doi.org/10.3390/su152416887
Varaniūtė, R. (2022). Management accounting in product development: Digitalization, sustainability, and circularity. Sustainability Accounting, Management and Policy Journal, 13(2), 456-475. https://doi.org/10.1108/SAMPJ-09-2021-0408
Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J. F., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356–365. https://doi.org/10.1016/j.jbusres.2016.08.009