Abstract

The aim of this paper is to address the gap in the academic literature towards the development of methodological approaches to the industrial ecosystem sustainability assessment. This study was focused on the industrial ecosystems formed based on an entropy model and implementing the principles of complex systems. This article systematizes the problem of applying the ecosystem approach to cross-industry interaction. A contribution to the literature was achieved by providing a systemic perspective on the sustainable industrial process. In this paper, we develop the methodological foundations to improve the understanding of integration processes’ influence on the industrial ecosystem potential. For a relevant analysis of industrial ecosystem potential, the existing patterns of system functioning were taken into account, including entropy equilibrium and the Harrington model. We illustrate our assumptions with an empirical case study of the National University of Science and Technology (NUST) “MISIS” ecosystem—“Green technologies for resource conservation” (Russia), with an assessment of ecosystem sustainability through the actors’ collaboration level. The propositions arising from this analysis provide information to help academics, policymakers, government, and individual enterprises with a more adequate understanding of the practical mechanisms and tools that help trigger the self-organization and sustainability of the industrial ecosystems.

Highlights

  • Technological, digital, environmental, and political trends swiftly and universally have covered all social and economic processes

  • The main research question was how to operationalize the processes of self-organization in the industrial ecosystem without an external governing body and to ensure ecosystem sustainability

  • We demonstrate our methodology by the example of an empirical case study of the National University of Science and Technology (NUST) “MISIS” ecosystem

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Summary

Introduction

Technological, digital, environmental, and political trends swiftly and universally have covered all social and economic processes. Emerging fundamental challenges change approaches to the development of socio-economic systems towards: (1) (2) (3). Market participants are forced to respond to challenges, and to predict them This requires a search for new behavioral models and new approaches to strategizing. A fundamentally different type of resources is coming to the forefront intellectual, changing the ratio of competitive advantages in the market. It is practically impossible for enterprises to maintain competitive leadership, and to survive in the present realities alone, which entails the need to change the models of interaction between organizations [4,5,6]

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