INTEGRATED ONTOLOGY OF ENTREPRENEURIAL BUSINESS MODELS UNDER CONTEMPORARY CHALLENGES
Интегрированная онтология предпринимательских бизнес-моделей в условиях современных вызовов
2026-05-12
SCID: 54.1/2h2a3kak
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business model dimensions (structural, process-system, contextual, evaluative)integrated ontology of business modelsmultilevel ontological constructontology as research infrastructuretypological classification protocol
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Abstract (AI)
The article examines the problem of methodological fragmentation in contemporary approaches to the analysis of business models of entrepreneurship under modern challenges. It is established that structural, process-system, typological, contextual, and evaluative approaches, despite their analytical productivity, mostly develop as relatively autonomous lines of research, which complicates the construction of a coherent conceptual and formal system for describing a business model. It is substantiated that under conditions of digitalization, war-related risks, environmental constraints, regulatory shifts, and behavioral changes in the environment, there is a need for such an ontological framework that would not only organize the key dimensions of a business model, but also ensure the possibility of their further empirical operationalization.The purpose of the article is to develop an integrated ontology of business models of entrepreneurship that combines the basic, structural, contextual, classificatory, dynamic, and evaluative levels of description. The article formulates the principles for constructing such an ontology, reveals its multilevel architecture, identifies key entities, attributes, and relations, and proposes a protocol for the typological classification of real business models. Unlike existing approaches, the proposed ontology distinguishes between the levels of business model description and combines them within a unified research system suitable for classification, comparison, and further analytical use.It is proved that the integrated ontology can perform the function not only of a conceptual framework, but also of a research infrastructure for questionnaire design, coding schemes, sample formation, scenario analysis, and the integrated evaluation of business models. The scientific novelty of the article lies in the development of a multilevel ontological construct that ensures the transition from fragmented theoretical descriptions of business models to systematic, methodologically ordered, and reproducible empirical analysis.
Key Findings
1
Contemporary approaches to business model analysis are methodologically fragmented across structural, process-system, typological, contextual, and evaluative lines.
2
Digitalization, war-related risks, environmental constraints, regulatory shifts, and behavioral changes create the need for an ontological framework that organizes business model dimensions and enables empirical operationalization.
3
Scientific novelty: a multilevel ontological construct is provided that enables transition from fragmented theoretical descriptions to systematic, methodologically ordered, and reproducible empirical analysis.
4
The article develops an integrated, multilevel ontology combining basic, structural, contextual, classificatory, dynamic, and evaluative description levels of entrepreneurial business models.
5
The integrated ontology can function as both a conceptual framework and research infrastructure for questionnaire design, coding schemes, sample formation, scenario analysis, and integrated evaluation of business models.
6
The proposed ontology explicitly distinguishes levels of business model description and unifies them into a system suitable for classification, comparison, and analytical use.
Research Object
Business models of entrepreneurship
Research Subject
Development and multilevel integration of an ontology that structures, classifies, and enables empirical operationalization, comparison, typological classification, and integrated evaluation of entrepreneurial business models under contemporary challenges (digitalization, war-related risks, environmental constraints, regulatory shifts, behavioral changes)
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2026-05-12
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