Szczegóły publikacji
Opis bibliograficzny
Environmentally oriented modelling for supporting decision-making in business ecosystem / Alla Polyanska, Andriy Bandura, Dariusz SALA, Volodymyr Martynets, Oleg Mykytiuk // Journal of Vasyl Stefanyk Precarpathian National University ; ISSN 2311-0155 . — 2026 — vol. 13 no. 2, s. 82–96. — Bibliogr. s. 94–95, Abstr. — Publikacja dostępna online od: 2026-06-30. — A. Polyanska - afiliacja: Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk, Ukraine
Autorzy (5)
- Polyanska Alla
- Bandura Andriy
- AGHSala Dariusz
- Martynets Volodymyr
- Mykytyuk Oleh
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 169080 |
|---|---|
| Data dodania do BaDAP | 2026-07-31 |
| Tekst źródłowy | URL |
| DOI | 10.15330/jpnu.13.2.82-96 |
| Rok publikacji | 2026 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Journal of Vasyl Stefanyk Precarpathian National University |
Abstract
The study focuses on models of environmentally oriented development to support decision-making in business ecosystems (BE). The goal is to show the relationship between technical greening measures and BE performance results. The study's stages include the characteristics of BE; evaluation of greening measures and their impact on functioning; construction of factor-analysis models of technical greening and BE efficiency; determination of validation criteria based on elasticity indicators; and justification of the feasibility of the proposed methodology for decision support in BE. The methodology is based on the conceptualisation of BE, the construction of “input-output” models, the calculation of the integral indices ITGI and IBEEEI, factor/regression analysis, and elasticity assessment (point and arc). For an energy company, the most significant ITGI parameters are the share of new equipment with reduced noise and lower water discharge. The results of BE greening depend significantly on environmental costs and payments to support the ecobalance. The average annual growth rate of ITGI exceeds that of IBEEEI, indicating a lag between implementation and results; the nonlinear nature of the relationship is confirmed. The arc elasticity index indicates a moderate average sensitivity of IBEEEI to changes in ITGI, while the point elasticities reflect greater volatility in response to shocks. The study confirmed the presence of a measurable, but lagging and nonlinear relationship between technical greening and the results of greening the business ecosystem. This makes the constructed models an effective tool for supporting management decisions in sustainable development. The practical value lies in the proposed methodology for assessing internal drivers of business ecosystem efficiency in alignment with external challenges, enabling the systematic evaluation of environmental initiatives, their effectiveness, and their integration into digital decision-support systems for monitoring sustainable transformations.
