Scientific journal
Economics. Law. Innovation

Abstract

The study aims to analyze the impact of functional and process gaps on the sustainability of a holacratic organizational system and to develop a methodology for identifying such gaps to improve management efficiency. The research is based on the analysis of operational parameters in holacratic structures and mathematical modeling of time losses in process execution. A criterion of process redundancy is applied to identify suboptimal hierarchical relationships. The study employs graph-based process models and quantitative methods for assessing destabilizing factors. The paper presents approaches to identifying functional and process gaps in holacratic organizational systems. A methodological framework based on mathematical descriptions of operational processes is developed, enabling the calculation of acceptable, threshold, and maximum time loss values. Organizational factors affecting system sustainability are identified, and a method for detecting losses caused by process gaps is proposed. Operational time loss influenced by internal and external factors is established as a key parameter of destabilization. The findings can be used to assess the sustainability of holacratic structures and optimize management processes. The proposed methodology is recommended for application in high-tech enterprises in the real sector of the economy. Future research may focus on adapting the methodology to various organizational models and automating the detection of process gaps.

Keywords: graph networks, optimization methods, management in organizational systems, functional-process gaps, holacratic organizations

References:

1. Apanovich Z. V. Evolution of the Concept and Life Cycle of Knowledge Graphs. Sistemnaya informatika. 2020. No. 16. pp. 57–74. (In Russ.).
2. Dyatlov M. S., Kondratiev V. Yu. Application of Information Systems to Improve the Efficiency of Business Processes. Dialog. 2024. No. 2. pp. 43–44. (In Russ.).
3. Krotov Y. E. Applicability of Mathematical Models Based on Graph Theory to Holacratic Organizational systems.  Informacionnye Sistemy i Tekhnologii. 2025. No. 1 (147). pp. 27–35 [Electronic resource]. URL: https://oreluniver.ru/public/file/archive/isit_ISiT_1-25_kratkiy.pdf (Accessed: 20.02.2026). (In Russ.).
4. Novikov D. A. Theory of Management of Organizational Systems. 4th ed., corrected and supplemented. M.: LENAND, 2022. 382 p. (In Russ.).
5. Serebryakova T.A., Tin Yu.A., Enin K.G. (2021) Research of Modern Information Systems for Managing Business Processes. Kreativnaya ekonomika. Vol. 15. No. 12. pp. 4809–4824. DOI: 10.18334/ ce.15.12.114032. (In Russ.).
6. Abdul-Jabbar S.S., Farhan A. Data analytics an Techniques: A Review. ARO – The Scientific Journal of Koya Unicersity. 2022. No. 10 (2). pp. 45–55. DOI: 10.14500/aro.10975.
7. Almazrouei F., Sarker A.E., Zervopoulos P., Yousaf S. Organizational structure, agility, and public value-driven innovation performance in the UAE public services. Heliyon. 2024. No. 10. P. 9. DOI: 10.1016/j.heliyon.2024.e33261.
8.Akdeniz O. O., Abdou H. A., Hayek A. I., Pyke  C. Technical Efficiency in Banks: A Review of Methods, Recent Innovations and Future Re-search Agenda. Review of Managerial Science. 2023. No. 18. pp. 3395–3456. DOI: 10.1007/s11846-023-00707-z.
9. Baecker J., Weking J., Krchmar H., Hein A. Or-ganizational Data Strategy: Unveiling Key Ele-ments and Strategic Types. Journal of Information Technology. 2025. No. 40. DOI: 10.1177/02683962 251343921.
10. Bakumenko A., Hlavackova-Schindler K., Plant C., Hubig N. Advancing Anomaly Detection: Non-Semantic Financial Data Encoding With Large Language Models. IEEE Access. 2025. Vol. 13. DOI: 10.1109/ACCESS.2025.3600967.
11. Elragal A. Detecting Anomalies in Financial Data Using Machine Learning Algorithms. Systems. 2022. No. 10. pp. 1–29. DOI: 10.3390/systems 10050130.
12. Ghertescu C., Manta A. G., Manta L. F., Badircea R. M. How Does the Digitalization Strategy Af-fect Bank Efficiency in Industry 4.0? A Biblio-metric Analysis. Systems. 2024. No. 12. DOI: 10.3390/systems12110492.
13.Gruning R., Kuhn R., Morschett D. Strategies, Strategic Planning and Success Potentials. 2022. DOI: 10.1007/978-3-662-56221-5_2.
14. Gruzd A., Zhang J., Mai P. GraphOptima: A Graph Layout Optimization Framework for Visu-alizing Large Networks. Software X Journal. 2025. No. 29. DOI: 10.1016/j.softx.2025.102034.      
15. Gunawan B. Optimization of Organizational De-sign as A Strategy to Improve Organizational Performance: Systematic Literature Review. EKONIKA Journal. 2023. No. 8. pp. 359–373. DOI: 10.30737/ekonika.v8i2.4674.
16. Iyamu T., Nyikana W. A Guide for Selecting Big Data Analytics Tools in an Organization. Hawaii International Conference on System Sciences. 2022. DOI: 10.24251/HICSS.2022.664.
17. Makhanaya M. T. B., Vezi-Magibaba M. F. Ho-lacracy and Crisis Management: Leveraging Self-Organization for Effective Crisis Response and Organizational Resilience. Crisis Management Dynamics – Strategies, Challenges and Best Practices. 2025. DOI: 10.5772/intechopen.1008282.
18. Nord J. H., Koohang A. Critical Components of Data Analytics Organizations: A Research Model. Expert Systems with Applications. 2021. No. 166. DOI: 10.1016/j.eswa.2020.114118. 
19. Sharafiev A. F., Lemtyuzhnikova D. V., Avdeeva Z. K. Analysis of Interdependencies in the Char-acteristics of Graphs of Goals and Tasks of Long-Term Planning Documents. Pattern Recognition and Image Analysis Journal. 2025. No. 35 (3). pp. 359–375. – DOI: 10.1134/S1054661825700245.
20. Weirauch L., Galliker S., Eifering A. Holacracy, a Modern Form of Organizational Governance Predictors for Person-Organization-Fit and Job Satisfaction. Frontiers in Psychology. 2023. No. 13. DOI: 10.3389/fpsyg.2022.1021545.