Hannouf K. Transformations of Intellectual Capital Properties Through Behavioral Mechanisms of Digitalization of Economic Processes

Українська версія

Thesis for the degree of Doctor of Philosophy (PhD)

State registration number

0824U002857

Applicant for

Specialization

  • 051 - Економіка

15-08-2024

Specialized Academic Board

ДФ 08.084.028

Ukrainian State University of Science and Technologies

Essay

The dissertation work is devoted to the study of the main aspects of thetransformation of intellectual capital properties through behavioral mechanisms of digitalization of economic processes. It focuses on the deepening theoretical and methodological provisions and developing practical recommendations aimed at improving the efficiency of the transformation of intellectual capital properties in the context of the digitalization of economic processes. The theoretical and methodological approaches have been deepened and substantiated in the dissertation, practical recommendations for transforming the properties of intellectual capital through the behavioral mechanisms of digitalization of economic processes in social economic systems aimed at increasing the efficiency of the formation and use of IC in the conditions of digitalization as a significant factor in the innovative development of the economy of Ukraine have been developed. The results of the research have formed the basis of the conclusions reflecting the fulfillment of the defined objectives of the dissertation work. The essence of the concept of "intellectual capital" has been investigated, the logical nature of intellectual capital and its interconnection with well-known general scientific terms have been studied. The most comprehensive definition of the concept has been given, where IC has been considered as an institutional strategic complex resource (IC as a resource, IC as a potential, IC as a result), including knowledge, skills, information, technologies, expertise, property and relations in social economic systems, that can be used to create value, innovation and competitive advantage, and taking various forms, including human capital (knowledge and skills of employees), structural capital (information technology, systems, procedures), consumer capital (customer loyalty, brand reputation) and informational capital. It is a key source of sustainable development, competitive advantages, a strategically important object for ensuring the success and stability of social economic systems. The theoretical and methodological approach to the transformation of the properties of intellectual capital under the influence of digitalization of economic processes has been improved and theoretically substantiated. Unlike the existing approaches, it is the process of changing and adapting the characteristics of intellectual capital under the influence of the use of digital technologies and innovations in economic processes, which may include the transformations of knowledge, skills, technologies and relationships into new forms through the implementation of behavioral mechanisms of digitalization that increase their effectiveness, accessibility and usability in the digital environment, contributing to the optimization of the use of intellectual resources, increasing the competitiveness and innovativeness of social economic systems in the era of global digital transformation. The conceptual approach to the application of Q-leaning machine learning to the transformation of IC properties has been developed, which, unlike the known ones, consists of finding business strategies using the selection of effective alternatives for the development of IC through the determination of its properties (creativity, technological capability, behavioral satisfaction, awareness, communicativeness) and the influence of criteria on the choice of alternatives (intellectual, behavioral, strategic, cognitive, innovative). This is followed by the application of Q-learning machine learning to obtain the most effective strategy for the development of intellectual capital and increase the reliability of the results, contributing to the formation of the most effective behavioral strategy for the development of intellectual capital in the context of digitalization by determining the optimal ratio of intellectual capital properties. The methodical approach to the transformation of the properties of consumer (client) capital through the behavioral mechanisms of digitalization of economic processes has been developed, where the set of properties of consumer capital (transformation of capital satisfaction, quality, competitiveness, loyalty, innovativeness, strategicness) and their levels of development provide opportunities for the formation of alternative strategies to increase consumer (client ) capital of social economic systems, contributing to the adaptation to the changes in modern turbulent environment. The model of the process to implement the competitive strategy of IC replacement in the conditions of martial law for enterprises of strategic industry with positive and negative feedback for management depending on the values and indicators of the standard product and the requirements for the management of the specified indicators during the implementation of the competitive strategy of replacement for industrial enterprises has been developed and substantiated.

Research papers

Ханнуф К. Трансформації властивостей споживчого (клієнтського) капіталу через поведінкові механізми цифровізацїї. 2024. Herald of Khmelnytskyi National University. Economic Sciences, № 326 (1). С. 166-173

Бобиль В., Ханнуф К. Діагностика трансформації властивостей інтелектуального капіталу України. Збірник наукових праць: Review of transport economics and management. 2023. № 10 (26). С. 256–267.

Нагорняк Г., Ханнуф К. Розвиток інтелектуального капіталу в епоху цифровізації у контексті підвищення конкурентоспроможності промислових підприємств України. Науковий журнал: Актуальні проблеми розвитку економіки регіону. 2023. № 19 (1). С. 309–329

Нагорняк Г., Ханнуф К. Особливості викликів та можливостей формування інтелектуального капіталу вітчизняних підприємств машинобудівного сектору України в умовах цифровізації. Збірник наукових праць: Review of transport economics and management. 2022. № 8 (24). С. 54-71.

Порохня В., Ханнуф К., Пенев В. (2023). Застосування машинного навчання Q-leaning для формування ефективної поведінкової ДЛЯ ФОРМУВАННЯ ЕФЕКТИВНОЇ поведінкової стратегїї розвитку інтелектуального капіталу. REVIEW OF TRANSPORT ECONOMICS AND MANAGEMENT, (9(25), 119–128.

Байгушев В., Ханнуф К. Управління об'єднаних корпоративних структур при заміщенні в галузі. Review of transport economics and management. 2021. № 5 (21). С. 86-94.

Шевяков О., Ханнуф К. Поведінкові механізми гібридної соціально-економічної війни в надіндустріальну епоху розвитку світу. Review of transport economics and management. 2020. № 3 (19). С. 206-212.

Трубай Ю., Ханнуф К. Цифровізація як сучасна концепція розвитку і автоматизацїї авіаційної галузі. Review of transport economics and management. 2020. № 4 (20). С. 212-218.

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