manguuУправлениеUPRAVLENIE / MANAGEMENT (Russia)2309-36332713-1645State University of Management10.26425/2309-3633-2022-10-4-96-110manguu-574Research ArticleИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ В УПРАВЛЕНИИMANAGEMENT INFORMATION TECHNOLOGIESВозможности совершенствования процессов подготовки правовых актов государственными органами на основе подхода Process miningOpportunities for improving the processes of preparing legal acts by public authorities based on the process mininghttps://orcid.org/0000-0002-0054-832XВасильеваЕ. В.VasilievaE. V.

Васильева Елена Викторовна, д-р экон. наук, проф. департамента бизнес-информатики

125167, Ленинградский пр-т, 49/2, г. Москва

Elena V. Vasilieva, Dr. Sci (Econ.), Prof. at the Business Informatics Department

49/2, Leningradsky prospekt, Moscow 125167

evvasileva@fa.ruhttps://orcid.org/0000-0001-6060-5421ДолгановаО. И.DolganovaO. I.

Долганова Ольга Игоревна, канд. экон. наук, доц. каф. финансовых технологий

125167, Ленинградский пр-т, 49/2, г. Москва

Olga I. Dolganova, Cand. Sci (Econ.), Assoc. Prof. at Financial Technologies Department

49/2, Leningradsky prospekt, Moscow 125167

oidolganova@fa.ruФинансовый университет при Правительстве Российской Федерации (Финуниверситет)РоссияFinancial University under the Government of the Russian FederationRussian Federation20222401202310496110Copyright © Васильева Е.В., Долганова О.И., 20232023Васильева Е.В., Долганова О.И.Vasilieva E.V., Dolganova O.I.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://upravlenie.guu.ru/jour/article/view/574

Процессы создания правовых актов должны отвечать таким критериям, как прозрачность, контролируемость, соответствие регламентам. Однако сейчас эти процедуры крайне забюрократизированы, заранее спланированы и проходят много инстанций во время подготовки, согласования и подписания. Безусловно, большинство этих действий необходимы, выверены временем и законодательно закреплены. Вместе с тем есть операции, которые требуют оптимизации, в том числе и за счет их автоматизации или роботизации. Для их выявления и обеспечения соответствия процессов изменяющимся потребностям государства важно создать условия непрерывного мониторинга, своевременного выявления и оперативной адаптации и оптимизации нормотворческой деятельности органов власти. В этой связи вопрос применения современных технологий и подходов к анализу и формирования рекомендаций по совершенствованию процессов проактивного характера представляется авторам крайне актуальным. Цель настоящего исследования – изучение текущих особенностей подготовки правовых актов федеральными органами исполнительной власти и определение направлений совершенствования нормативных документов на основе глубинного анализа процессов (англ. Process mining). В качестве методов исследования применялись анализ литературы и российской нормативно-правовой базы, анкетирование и моделирование. Проанализирована разработка проектов правовых документов: актов Правительства и Президента Российской Федерации, федеральных законов. Показана необходимость перехода на смарт-управление, принципы которого позволят обеспечить оперативность и гибкость при подготовке нормативных правовых актов. Сформулированы метрики для мониторинга и контроля исполнения соответствующих поручений и выделены перспективы развития их информационной поддержки в результате внедрения технологий Process mining.

The processes of creating legal acts must meet such criteria as transparency, controllability, compliance with regulations. However, currently the procedures are extremely bureaucratic, pre-planned and go through many instances during the preparation, approval and signing. Of course, most of these processes are necessary, time-tested and legally fixed. At the same time, there are operations that require optimisation, including due to their automation or robotisation. To identify them and ensure that the procedure meet the changing needs of the state, it is important to create conditions for continuous monitoring, timely identification and operational adaptation and optimisation of the rule-making activities of the authorities. In this regard, the issue of applying contemporary technologies and approaches to analysis and the formation of recommendations for improving proactive processes seems extremely relevant. The purpose of this study is to examine the currend specifics of the preparation of the legal acts by the federal executive authorities and to identify areas for this normative documents’ improvement based on the process mining. The research methods used were a literature review and the Russian legal framework analysis, a questionnaire survey and process modelling. The authors analyse how draft legal documents (government and presidential acts, federal laws) are developed in the Russian Federation. They demonstrate the need for a transition to smart management. Its principles will ensure efficiency and flexibility in the preparation of normative legal acts. The metrics for monitoring and controlling the execution of the relevant instructions are formulated and the prospects for the development of their information support as a result of the implementation of process mining technologies are highlighted.

правовой актгосударственный секторнормотворчествоисполнительская дисциплинаProcess miningпроцессцифровое правительствометрикиlegal actpublic sectorrulemakingperformance disciplineprocess miningprocessdigital governmentmetricsReferencesАлтухова Н.Ф., Васильева Е.В., Деева Е.А., Доценко Д.А., Козлов М.А. (2019). Экономика информационных систем: управление и оценка эффективности: учебник. М.: Кнорус. 624 с.Altukhova N.F., Vasilieva E.V., Deeva E.A., Dotsenko D.A., Kozlov M.A. (2020), Economics of information systems: management and performance evaluation: textbook, Knorus, Moscow, Russia (in Russian).Васильева Е.В., Деева Е.А. (2017). Методы экспертных оценок в прикладной информационной экономике для обоснования преимуществ информационных систем и технологий // Мир новой экономики. № 4. С. 14–22.Aghabaghery R., Hashemi Golpayegani A., Esmaeili L. (2020), “A new method for organizational process model discovery through the analysis of workflows and data exchange networks”, Social Network Analysis and Mining, vol. 10, article number 12, https://doi.org/10.1007/s13278-020-0623-5Евланов Л.Г., Кутузов В.А. (1978). Экспертные оценки в управлении. М.: Экономика. 133 с.Batista E., Solanas A. (2019), Skip Miner: Towards the Simplification of Spaghetti-like Business Process Models, In: Proceedings of the 10th International Conference on Information, Intelligence, Systems and Applications (IISA), pp. 1–6, https://doi.org/10.1109/IISA.2019.8900713Каменева Е.А. (2008). Организация контроля за исполнением поручений // Делопроизводство и документооборот на предприятии. № 2. С. 27–48.Evlanov L.G., Kutuzov V.A. (1978), Expert assessments in management, Ekonomika, Moscow, Russia (in Russian).Коротков Э.М. (2020). Исследование систем управления. Москва: Юрайт. 226 с.Choi D., R’bigui H. and Cho C. (2021), “Candidate digital tasks selection methodology for automation with robotic process automation”, Sustainability, vol. 13, no. 16, article number 8980, https://doi.org/10.3390/su13168980Aghabaghery R., Hashemi Golpayegani A., Esmaeili L. (2020). A new method for organizational process model discovery through the analysis of workflows and data exchange networks // Social Network Analysis and Mining. V. 10, Art. Num. 12. https://doi.org/10.1007/s13278-020-0623-5Codish D., Rabin E., Ravid G. (2019), “User behavior pattern detection in unstructured processes – a learning management system case study”, Interactive Learning Environments, vol. 27, issue 5-6: The new potentials for Intelligent Tutoring with learning analytics, pp. 699–725, https://doi.org/10.1080/10494820.2019.1610456Batista E., Solanas A. (2019). Skip miner: towards the simplification of spaghetti-like business process models // Proceedings of the 10th International Conference on Information, Intelligence, Systems and Applications (IISA), 2019. Pp. 1–6. https://doi.org/10.1109/IISA.2019.8900713Kameneva E.A. (2008), “Organization of control over the execution of orders”, Deloproizvodstvo i dokumentooborot na predpriyatii, no. 2, pp. 27–48.Choi D., R’bigui H., Cho C. (2021). Candidate digital tasks selection methodology for automation with robotic process automation // Sustainability. V. 13, no. 16. Art. Num. 8980. https://doi.org/10.3390/su13168980Korotkov E.M. (2020), Research of control systems, Yurait, Moscow, Russia (in Russian).Codish D., Rabin E., Ravid G. (2019). User behavior pattern detection in unstructured processes – a learning management system case study // Interactive Learning Environments, V. 27. Is. 5-6: The new potentials for Intelligent Tutoring with learning analytics. Pp. 699–725. https://doi.org/10.1080/10494820.2019.1610456Macak M., Vanát I., Merjavý M., Jevočin T., Buhnova B. (2020), “Towards Process Mining Utilization in Insider Threat Detection from Audit Logs”, In: Proceedings of the Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS), pp. 1–6, https://doi.org/10.1109/SNAMS52053.2020.9336573Macak M., Vanát I., Merjavý M., Jevočin T., Buhnova B. (2020). Towards process mining utilization in insider threat detection from audit logs // Proceedings of the Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS). Pp. 1–6. https://doi.org/10.1109/SNAMS52053.2020.9336573Myers D., Suriadi S., Radke K., Foo E. (2018), “Anomaly detection for industrial control systems using process mining”, Computers & Security, vol. 78, pp. 103–125, https://doi.org/10.1016/j.cose.2018.06.002Myers D., Suriadi S., Radke K., Foo E. (2018). Anomaly detection for industrial control systems using process mining // Computers & Security. V. 78. Pp. 103–125. https://doi.org/10.1016/j.cose.2018.06.002Reinkemeyer L. (ed.) (2020), Process Mining in Action, Springer, Cham, https://doi.org/10.1007/978-3-030-40172-6Reinkemeyer L. (ed.) (2020). Process mining in action. Cham: Springer. 207 p. https://doi.org/10.1007/978-3-030-40172-6Sangil M.J. (2020), “Heuristics-Based Process Mining on Extracted Philippine Public Procurement Event Logs”, In: Proceedings of the 7th International Conference on Behavioural and Social Computing (BESC), 2020, pp. 1–4, https://doi.org/10.1109/BESC51023.2020.9348306Sangil M.J. (2020). Heuristics-based process mining on extracted philippine public procurement event logs // Proceedings of the 7th International Conference on Behavioural and Social Computing (BESC), 2020. Pp. 1–4. https://doi.org/10.1109/BESC51023.2020.9348306Scholl H.J. (2020), “Digital government: looking back and ahead on a fascinating domain of research and practice”, Digital Government: Research and Practice, vol. 1, no. 1, pp. 1–12, https://doi.org/10.1145/3352682Scholl H.J. (2020). Digital government: looking back and ahead on a fascinating domain of research and practice // Digital Government: Research and Practice. V. 1, no. 1. Pp. 1–12. https://doi.org/10.1145/3352682Scholl H.J., Bolívar M.P.R. (2019), “Regulation as both enabler of technology use and global competitive weapon: The Gibraltar Case”, Government Information Quarterly, vol. 36, no. 3, pp. 601–613, https://doi.org/10.1016/j.giq.2019.05.003Scholl H.J., Bolívar M.P.R. (2019). Regulation as both enabler of technology use and global competitive weapon: The Gibraltar Case // Government Information Quarterly. V. 36, no. 3. Pp. 601–613. https://doi.org/10.1016/j.giq.2019.05.003Stefanini A., Aloini D., Benevento E., Dulmin R., Mininno V. (2020), “A data-driven methodology for supporting resource planning of health services”, Socio-Economic Planning Sciences, vol. 70, article number 100744, https://doi.org/10.1016/j.seps.2019.100744Stefanini A., Aloini D., Benevento E., Dulmin R., Mininno V. (2020). A data-driven methodology for supporting resource planning of health services // Socio-Economic Planning Sciences. V. 70. Art. Num. 100744. https://doi.org/10.1016/j.seps.2019.100744Takei T., Horita H. (2021), “Towards Goal-Oriented Business Process Model Repair”, In: Proceedings of the 10th International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 691–696, https://doi.org/10.1109/IIAI-AAI53430.2021.00123Takei T., Horita H. (2021). Towards goal-oriented business process model repair // Proceedings of the 10th International Congress on Advanced Applied Informatics (IIAI-AAI). Pp. 691–696. https://doi.org/10.1109/IIAI-AAI53430.2021.00123Tang W., Matzner M. (2020), “Creating humanistic value with process mining for improving work conditions – A sociotechnical perspective”, In: Proceedings of the International Conference on Information Systems, ICIS 2020 – Making Digital Inclusive: Blending the Local and the Global.Tang W., Matzner M. (2020). Creating humanistic value with process mining for improving work conditions - A sociotechnical perspective // Proceedings of the International Conference on Information Systems, ICIS 2020 – Making Digital Inclusive: Blending the Local and the Global. Virtual, Online; India; 13–16 December 2020.van der Aalst W. et al. (2012), “Process Mining Manifesto”, In: Daniel F., Barkaoui K., Dustdar S. (eds) Business Process Management Workshops. BPM 2011. Lecture Notes in Business Information Processing, vol 99, Springer, Berlin, Heidelberg, https://doi.org/10.1007/978-3-642-28108-2_19van der Aalst W. et al. (2011). Process mining manifesto // Proceedings of the International Conference on Business Process Management. Springer, Berlin, Heidelberg. Pp. 169–194. https://doi.org/10.1007/978-3-642-28108-2_19van der Aalst W.M.P. (2016), Process Mining: Data Science in Action, Springer, Berlin/Heidelberg, Germany.van der Aalst W.M.P. (2016). Process Mining: Data Science in Action. Berlin/Heidelberg: Springer.Vasileva E.V., Deeva E.A. (2017), “Methods оf expert evaluations in applied information economics for the analysis оf efficiency investments in development of information systems”, The world of new economy, no. 4, pp. 14–22.

The authors declare that there are no conflicts of interest present.