INTEGRATION OF DIGITAL TECHNOLOGIES INTO THE SELF-MANAGEMENT SYSTEM: CHALLENGES AND OPPORTUNITIES FOR EFFECTIVE FINANCIAL PLANNING
Abstract
The current stage of the digital transformation of the economy creates new challenges for enterprise financial management systems. The study is devoted to a comprehensive analysis of the interrelation between digital planning tools, behavioral aspects of decision-making, and organizational self-management. The relevance of the research is determined by the significant gap between technological capabilities and the organizational readiness of enterprises to implement modern financial planning systems. The purpose of the article is to identify the relationship between digital planning tools, behavioral aspects of decision-making, and organizational self-management. The study employs methods of systems analysis, comparative evaluation, and SWOT analysis. It examines the evolution of digital solutions from ERP systems to artificial intelligence platforms and analyzes the impact of technologies on the decentralization of management and cognitive biases of managers. The research results demonstrate that the effective integration of digital technologies requires consideration of three interrelated aspects: technological, organizational, and behavioral. An integrated model is proposed, describing three stages of digital transformation: standardization (ERP systems), decentralization (cloud-based FP&A solutions), and self-organization (AI/ML systems). Each stage is characterized by specific organizational effects and behavioral challenges. The SWOT analysis revealed the key strengths of digitalization, including increased operational efficiency, improved decision-making quality, and the development of organizational self-management. Among the main challenges identified are high investment costs, difficulties in integrating with existing systems, a shortage of qualified personnel, and employee resistance to organizational change. Special attention is given to the analysis of behavioral aspects, particularly the influence of cognitive biases on the effectiveness of using digital tools. It is shown that even the most advanced technologies do not eliminate risks associated with groupthink, overreliance on algorithms, and the framing effect. It is concluded that the successful integration of digital technologies requires a comprehensive approach that combines technological innovation with organizational change and personnel development. The results can be applied in financial management practice to improve planning efficiency and optimize the organizational structure of enterprises.
References
. Finance Functions Have Largely Closed their AI Adoption Gap with Other Corporate Functions (2024). Gartner. URL: https://www.gartner.com/en/newsroom/press-releases/2024-09-11-gartner-survey-shows-58-percent-of-finance-functions-use-ai-in-2024 (дата звернення: 01.11.2025).
The state of AI in 2023: Generative AI’s breakout year (2023). McKinsey & Company. URL: https://www.mckinsey.com/~/media/mckinsey/business%20 functions/quantumblack/our%20insights/the%20state%20of%20ai%20in%202023%20generative%20ais%20breakout%20year/the-state-of-ai-in-2023-generative-ais-breakout-year_vf.pdf (дата звернення: 01.11.2025).
Шпак, Н., & Штефан, В. (2025). Цифрові платформи та інструменти для оптимізації роботи українських підприємств легкої промисловості. Економіка та суспільство, (78). https://doi.org/10.32782/2524-0072/2025-78-139
Шпак Н.О., Кісь С.Ю. (2024). Трансформація систем менеджменту «розумних підприємств» в умовах розвитку індустрії 4.0. Бізнес-навігатор. 2024. Вип. 2 (75). С. 380–385.
Davenport T. H., Harris J. G., Cantrell S. (2004). Enterprise systems and ongoing process change. Business Process Management Journal. Vol. 12, No. 1. pp. 1-17.
Bhimani A. Digitisation, Willcocks L. (2014). «Big Data» and the transformation of accounting information. Accounting and Business Research. Vol. 44, No. 4. pp. 469-490.
Gino F., Pisano G. P. (2008). Toward a theory of behavioral operations. Manufacturing & Service Operations Management. Vol. 10, No. 4. pp. 676-691.
Global Finance Leadership Study (2023). Deloitte. URL: https:// www.deloitte.com/de/de/services/consulting/research/global-technology-leadership-study.html (дата звернення: 03.11.2025).
The State of Organizations 2023 (2023). McKinsey & Company. URL: https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/the-state-of-organizations-2023(дата звернення: 04.11.2025).
Tversky A., Kahneman D. (1979). Prospect Theory: An Analysis of Decision under Risk . Econometrica. Vol. 47, No. 2. pp. 263-291.
Robertson B. J. (2015). Holacracy: The Revolutionary Management System that Abolishes Hierarchy. New York : Henry Holt and Company, 240 p.
Osterwalder A., Pigneur Y. (2010). Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers. New Jersey: John Wiley & Sons, 288 p.
PwC’s 2025 Digital Trends in Operations Survey (2025). PwC. URL: https:// www.pwc.com/us/en/services/consulting/business-transformation/digital-supply-chain-survey.html (дата звернення: 30.09.2025).
Finance Functions Have Largely Closed their AI Adoption Gap with Other Corporate Functions (2024). Gartner. Available at: https://www.gartner.com/en/newsroom/press-releases/2024-09-11-gartner-survey-shows-58-percent-of-finance-functions-use-ai-in-2024 (accessed November 1, 2025).
The state of AI in 2023: Generative AI’s breakout year (2023). McKinsey & Company. Available at: https://www.mckinsey.com/~/media/mckinsey/ business% 20functions/quantumblack/our%20insights/the%20state%20of%20ai%20in%202023%20generative%20ais%20breakout%20year/the-state-of-ai-in-2023-generative-ais-breakout-year_vf.pdf (accessed November 1, 2025).
Shpak, N., & Shtefan, V. (2025). Tsyfrovi platformy ta instrumenty dlia optymizatsii roboty ukrainskykh pidpryiemstv lehkoi promyslovosti [Digital platforms and tools for optimizing the work of Ukrainian light industry enterprises]. Ekonomika ta suspilstvo Economics and Society. (78). https://doi.org/10.32782/2524-0072/2025-78-139.
Shpak N.O., Kis S.Iu. (2024). Transformatsiia system menedzhmentu «rozumnykh pidpryiemstv» v umovakh rozvytku industrii 4.0. [Transformation of management systems of “smart enterprises” in the context of the development of industry 4.0.]. Biznes-navihator- Business Navigator. No. 2 (75). pp. 380–385.
Davenport T. H., Harris J. G., Cantrell S. (2004). Enterprise systems and ongoing process change. Business Process Management Journal. Vol. 12, No. 1. pp. 1-17.
Bhimani A. Digitisation, Willcocks L. (2014). «Big Data» and the transformation of accounting information. Accounting and Business Research. Vol. 44, No. 4. pp. 469-490.
Gino F., Pisano G. P. (2008). Toward a theory of behavioral operations. Manufacturing & Service Operations Management. Vol. 10, No. 4. pp. 676-691.
Global Finance Leadership Study (2023). Deloitte. Available at: https://www.deloitte.com/de/de/services/consulting/research/global-technology-leadership-study.html (accessed November 3, 2025).
The State of Organizations 2023 (2023). McKinsey & Company. Available at: https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/the-state-of-organizations-2023 (accessed November 4, 2025).
Tversky A., Kahneman D. (1979). Prospect Theory: An Analysis of Decision under Risk . Econometrica. Vol. 47, No. 2. pp. 263-291.
Robertson B. J. (2015). Holacracy: The Revolutionary Management System that Abolishes Hierarchy. New York : Henry Holt and Company, 240 p.
Osterwalder A., Pigneur Y. (2010). Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers. New Jersey: John Wiley & Sons, 288 p.
PwC’s 2025 Digital Trends in Operations Survey (2025). PwC. Available at: https://www.pwc.com/us/en/services/consulting/business-transformation/digital-supply-chain-survey.html (accessed September 30, 2025).

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