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A Sustainable Development Model for Small and Medium-Sized Enterprises in the Context of Industry 4.0

Field of Science:AccountingBusiness and International ManagementBusiness, Management and Accounting (miscellaneous)General Business, Management and AccountingIndustrial RelationsManagement Information SystemsManagement of Technology and InnovationMarketingStrategy and ManagementTourism, Leisure and Hospitality ManagementEconomics and EconometricsEconomics, Econometrics and Finance (miscellaneous)FinanceGeneral Economics, Econometrics and Finance
National field of science (HAC):05.08.01 — Transport systems of the country, its regions, cities and industrial centers. Transport logistics08.00.01 — Economic theory08.00.02 — Macroeconomics08.00.03 — Industrial economics08.00.04 — Agricultural economics08.00.05 — Service sector economics08.00.06 — Econometrics and statistics08.00.08 — Accounting, economic analysis and audit08.00.09 — World economy08.00.10 — Demography. Labor economics08.00.11 — Marketing08.00.12 — Regional economics08.00.13 — Management08.00.14 — Information systems and technologies in economics08.00.15 — Economics of entrepreneurship and small business08.00.16 — Digital economy and international digital integration08.00.17 — Tourism and hospitality13.00.07 — Educational management08.00.07 — Finance, money circulation and credit
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Scientific electronic journal "Digital Economy"

Scientific electronic journal "Digital Economy"

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ARTICLE ANNOTATION

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This article examines the lack of a comprehensive model for assessing the benefits of Industry 4.0 (I4.0) for small and medium-sized enterprises (SMEs), considering their diverse priorities and goals. We propose a flexible model that integrates digital performance measures with sustainability metrics, aligned with the triple bottom line (TBL) framework, to assess the economic, social, and environmental impacts of digital transformation on SMEs. Using SME data and hierarchical clustering, we identify groups of companies with similar operational realities, resources, and goals, where clusters allow for adaptability of the model. Thus, the proposed model measures the impact of I4.0 on economic, social, and environmental aspects, providing a structured approach to prioritizing digital transformation initiatives.

AUTHORS

Д.Ли

"MUHAMMAD AL-XORAZMIY NOMIDAGI TOSHKENT AXBOROT TEXNOLOGIYALARI UNIVERSITETI" DAVLAT MUASSASASI

К.Ахмедова

"MUHAMMAD AL-XORAZMIY NOMIDAGI TOSHKENT AXBOROT TEXNOLOGIYALARI UNIVERSITETI" DAVLAT MUASSASASI

Tags

# modeling# indicators# sustainability# digital transformation# Industry 4.0# SMEs# environmental impact# hierarchical clustering# digital impact# digital benefits# Industry 5.0

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Article Identifiers

ROI:

https://eroi.uz/11.142/A026-151303

DOI:

Not Available

References

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