Strategic Management of Industrial Ecosystems Based on the Platform Concept

2021 ◽  
Vol 27 (10) ◽  
pp. 751-765
Author(s):  
V. V. Glukhov ◽  
A. V. Babkin ◽  
E. V. Shkarupeta ◽  
V. A. Plotnikov
Keyword(s):  
Strategic Management ◽  
Ecosystem Management ◽  
Structural Model ◽  
Industrial Ecology ◽  
Data Interpretation ◽  
Agglomerative Clustering ◽  
Economic Sectors ◽  
Ecosystem Research ◽  
Industrial Ecosystem ◽  
Industrial Ecosystems

Aim. The presented study aims to develop a structural model for industrial ecosystem management and to propose strategies for the industrial ecosystem orchestrator.Tasks. The authors systematize the landscape of existing research in the field of ecosystems; identify the problem and determine the research gap; develop the concept of ecosystem entity; determine the specific features of industrial ecosystem management; develop a structural model for industrial ecosystem management based on the platform concept; recommend strategies for the industrial ecosystem orchestrator.Methods. This study uses general scientific methods (synthesis, generalization, content analysis, graphical data interpretation), economic and statistical methods (correlation and regression analysis, mathematical statistics, expert methods, principal components analysis, hierarchical agglomerative clustering). As part of a study of economic sectors and digital technologies, the market structure is analyzed, and the dynamics of development indicators of digitalization processes is described.Results. The landscape of modern ecosystem research, types and properties of ecosystems, the composition of actors and exchange resources by ecosystem type are systematized, the concept of ecosystem entity is developed, and the specific features of industrial ecosystem management are determined. A structural model for industrial ecosystem management is developed. Four strategies for the industrial ecosystem orchestrator are recommended: increasing value, building trust, activating industrial ecology, institutionalization.Conclusions. In the context of digital transformation, it is advisable to implement strategic management of industrial ecosystems based on the platform concept. The results of managing an industrial ecosystem with the orchestrator function include enhancing the maturity and integration potential of synergetic interaction in the ecosystem, maintaining a high level of coherence (consistency) between actors at different hierarchical levels, creating long-term value and improving the quality of life.

A System Level Approach to the Design of an Industrial Ecosystem

1997 ◽  
Author(s):  
Reid Bailey ◽  
Janet K. Allen ◽  
Bert Bras ◽  
Farrokh Mistree
Keyword(s):  
Industrial Ecology ◽  
Initial Step ◽  
Design Tool ◽  
System Level ◽  
Design Problems ◽  
Industrial Ecosystem ◽  
Engine Design ◽  
Concept Exploration ◽  
Industrial Ecosystems ◽  
Negative Environmental Impact

Abstract Industrial ecology is a nascent concept in which systems of industries work together to reduce their net negative environmental impact. The work in this paper represents an initial step towards the advancement of industrial ecology through quantitative analysis. A system dynamics model of an existing industrial ecosystem is developed in STELLA® and used to represent the system level behavior. A design tool, the Robust Concept Exploration Method (RCEM), that has been used previously for more traditional design problems, e.g., engine design and airplane design, is successfully applied to the system level design of an industrial ecosystem. The results in this paper are intended to provide support for decision makers in complex industrial ecosystems and, more importantly, to increase the knowledge about designing industrial ecosystems. As the concept of industrial ecology progresses, the analysis of ecosystems will become more complex, increasing the need for design at the system level to be addressed with tools such as the RCEM.

scholarly journals Industrial synergies from “hidden structures”of knowledge. Towards the foundation of industrial ecosystems.

2020 ◽  
Vol 11 (16) ◽  
pp. 91-110
Author(s):  
Eduardo Aguiñaga
Keyword(s):  
Circular Economy ◽  
Potential Role ◽  
Industrial Ecology ◽  
Symbiotic Relationship ◽  
Industrial Landscape ◽  
Industrial Ecosystem ◽  
Industrial Ecosystems ◽  
The Creation ◽  
Conceptual Research

Industrial strategies based on industrial ecology and circular economy have populated the current industrial landscape. However, these approaches focusing on the creation of symbiotic relationship among industries have beenrelatively insufficiently researched. Although economically and environmentally beneficial, the process of their emergence and development remains unclear. This conceptual research advances the potential role of knowledge in the creation of symbiotic linkages through a qualitative theoretical literature research. The result is a conceptual framework combining different theoretical streams. I conclude that by using absorptive capacity constructs coupled with the principles of industrial ecosystem framed under social network analysis, the genesis of industrial ecosystem can be unearthed.

scholarly journals Infrastructural nature

2021 ◽  
pp. 030913252199391
Author(s):  
Sara H Nelson ◽  
Patrick Bigger
Keyword(s):  
Political Economy ◽  
Ecosystem Services ◽  
Strategic Management ◽  
Ecosystem Management ◽  
Human Life ◽  
Ecosystem Functions ◽  
Future Research ◽  
The Political ◽  
Conservation Science ◽  
Conservation Investment

The assertion that ‘ecosystems are infrastructure’ is now common in conservation science and ecosystem management. This article interrogates this infrastructural ontology, which we argue underpins diverse practices of conservation investment and ecosystem management focused on the strategic management of ecosystem functions to sustain and secure human life. We trace the genealogies and geographies of infrastructural nature as an ontology and paradigm of investment that coexists (sometimes in tension) with extractivist commodity regimes. We draw links between literatures on the political economy of ecosystem services and infrastructure and highlight three themes that hold promise for future research: labor, territory, and finance.

Strategic Management as a Basis of Sustainable Development in Agricultural Production

2021 ◽  
Vol 27 (7) ◽  
pp. 523-529
Author(s):  
T. V. Simonyan ◽  
N. V. Shvydenko
Keyword(s):  
Sustainable Development ◽  
Strategic Management ◽  
Agricultural Production ◽  
Agricultural Sector ◽  
Structural Model ◽  
Innovation Policy ◽  
Cluster Structure ◽  
Industrial Complex ◽  
The Sustainable Development ◽  
Russian Economy

Aim. The presented study aims to substantiate a structural model for developing a sustainable development strategy in agricultural production, making allowance for changes in the level of impact of environmental factors.Tasks. The authors determine the reasons why the Russian agro-industrial complex (AIC) is lagging; identify the specific aspects of forming a strategy for the sustainable development of regional AICs; formulate urgent problems of sustainable development for the agri-food sector of the Russian economy at the federal, regional, and enterprise levels.Methods. This study uses a reasonable and objective approach to the problem of applying strategic management as a foundation for the sustainable development of agricultural production based on the knowledge of the laws of development of socio-ecological and economic systems and a study of multidirectional factors of the external and internal environment. The methodological basis for the sustainable development of agricultural production includes the concept of sustainable development as a priority at the macroeconomic level; strategy as a planning tool based on consistency with programs implemented at the federal, regional and municipal levels of public administration; methods and tools of strategic management at AIC enterprises.Results. The key aspects of the institutional-synergetic approach to the sustainable development of the AIC include the need to coordinate all factors by forming coherent goals not only among economic and financial institutions, but also for technopolises that combine scientific, industrial, financial, and entrepreneurial capital into one system cluster structure. The authors formulate the stages of implementing a strategy for the sustainable development of regional AICs, making it possible to come up with measures aimed at reorganizing the structure of the agricultural sector and to overcome the negative manifestations of crises in the Russian economy, thus minimizing their consequences.Conclusions. During the development of a strategy for the sustainable development of regional AICs, a multiplicative effect arises, making it possible to activate innovation policy and boost the development of other sectors of the economy, improving the population’s quality of life. When developing a strategy at the microeconomic level, it is necessary to make allowance for the specifics of the industry and the mission of a modern agro-industrial enterprise and to focus on solving problems formulated based on the trinity of goals of social, environmental, and economic long-term sustainable development.

scholarly journals Industrial ecosystems and digitalization in the context of sustainable development

2020 ◽  
Vol 4 (92) ◽  
pp. 38-66
Author(s):  
Мyroslava Soldak ◽  
Keyword(s):  
Sustainable Development ◽  
Developing Countries ◽  
Ecological Footprint ◽  
Digital Technologies ◽  
Coal Consumption ◽  
Environmental Friendliness ◽  
Industrial Ecosystem ◽  
Clean Manufacturing ◽  
Industrial Ecosystems ◽  
Manufacturing Technologies

The digital revolution and extended use of modern digital technologies define the intensification of formation processes and further development of industrial ecosystems as stable geographically established networks of interconnected diverse enterprises and institutions, that are based on certain manufacturing technologies. At the same time, the location of industrial ecosystems is changed, which manifests itself in contradictory processes of reshoring and nearshoring, deepening their specialization, as the result of which in various regions of the world existing industrial ecosystems are transforming and new ones with different environmental influence are forming. Therefore, the objective of this paper is to educe current peculiarities of their evolution in terms of digitalization in the context of sustainable development. Every industrial ecosystem is unique, but it also has some certain similarities with other ecosystems, giving objective reasons for distinguishing their characteristic types. This study carries out the grouping of national economies (68 countries) by the size of industrial ecosystems (value added), their labor intensiveness, knowledge intensiveness and environmental friendliness (CO2 emissions). According to results of the cluster analysis, it is found that the absolute leadership by qualitative characteristics, primarily in terms of labor productivity and R&D costs, belongs to industrial ecosystems of advanced countries in Europe, Asia-Pacific region and the United States. With regard to Ukraine, its industrial ecosystem is classified to the cluster of countries that are "catching up" and characterized by worse indicators, including in the framework of sustainable development. To assess the environmental friendliness of industrial ecosystems, it is suggested to use the indicator of a normalized area of an ecological footprint that characterizes its size, which accrues to consumption of 1 ton of coal. Calculations of this indicator show that the increase of world coal consumption in recent decades is followed by a decrease of a normalized area of the ecological footprint as a result of progress in the development of "clean" manufacturing technologies and consumption of this energy source. However, the situation is different in various clusters of industrial ecosystems. With the difference of volume of GDP per capita, the normalized ecological footprint of developing countries is almost 3 times higher than in advanced ones. Namely, the life support in industrial ecosystems of developing countries (including Ukraine) per 1 dollar of income is associated with a significantly higher normalized ecological footprint. The Ukrainian national industrial ecosystem is currently characterized by the low technical and technological level of production and high normalized coal consumption with corresponding negative consequences for the environment. To ensure its transition to a sustainable development trajectory, it is necessary to create institutions that would stimulate a cyclical model of industrial behavior at the state level, as well as the development and dissemination of new digital technologies in industrial production and energy sector that can reduce the ecological footprint.

scholarly journals Synergistic Evaluation and Constraint Factor Analysis on Urban Industrial Ecosystems of Traditional Industrial Area in China

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Chengpeng Lu ◽  
Wei Ji ◽  
Zhiliang Liu ◽  
Shuheng Dong ◽  
Bing Xue
Keyword(s):  
Industrial Ecology ◽  
Industrial Area ◽  
Northeastern China ◽  
Liaoning Province ◽  
System Level ◽  
Ecological Environment ◽  
Ecosystem Development ◽  
Constraint Factors ◽  
Industrial Ecosystem ◽  
Major Constraint

Industrial ecology is an advanced form and ideal model of modern industrial development, in which the industrial ecosystem is the core. Based on the PSR model, this paper builds a comprehensive evaluation index system for urban industrial ecosystem development and selects 14 prefecture-level cities in Liaoning Province of the traditional industrial area in Northeastern China as cases to calculate the development level of its industrial ecosystem during 2000–2018 using an improved Topsis method and then to conduct a spatial visualization analysis. Finally, based on the “stress-state-response” subsystem, this paper diagnoses the constraints for industrial ecosystem development, which can provide a reference basis for decision-making in industrial ecology of traditional industrial area represented by those in Northeast China. The results show the following: (1) From 2000 to 2018, the industrial ecology of the 14 cities in Liaoning Province was at a medium level. Except for Shenyang and Dalian with the rapid development, the difference of industrial ecosystem development for other cities was relatively small. (2) From 2000 to 2018, the industrial ecosystem development of each city was in a status of “either increasing, or decreasing, or fluctuating,” which generally raised first and then decreased. Regarding spatial difference, the development exhibited a “center-periphery” pattern, with Shenyang and Dalian as the “dual-core” that were increasingly strengthened with significantly high-level industrial ecology. (3) At system level, PSR constraint grades for the industrial ecosystem development in the 14 cities of Liaoning Province were different. Constraint grades in the pressure subsystem, the state subsystem, and the response subsystem for the industrial ecosystem of Liaoning were 45.73%, 20.01%, and 34.34%, respectively, indicating that the lack of human response to the ecological environment and the pressure of human activities on the ecological environment during the industrial economy development were the main constraints affecting the process of industrial ecology in these cities. (4) Due to the differences in geographical environments, economic bases, industrial structures, and local development contexts, the major constraint factors of industrial ecosystem development in different cities are significantly different and complicated; however, there are five factors that are generally considered as major constraint factors in all cities, i.e., regional GDP, number of labor force employed in the secondary industrial sector, gross investment in fixed assets, amount of industrial sulfur dioxide removal, and production value from “three-wastes” comprehensive utilization. At last, this paper puts forward some recommendations and suggestions for providing scientific support for industrial ecosystem construction in the traditional industrial area of Northeastern China.

scholarly journals How Do Intelligent Goods Shape Closed-Loop Systems?

2018 ◽  
Vol 60 (3) ◽  
pp. 20-44 ◽  
Author(s):  
Risto Rajala ◽  
Esko Hakanen ◽  
Juri Mattila ◽  
Timo Seppälä ◽  
Mika Westerlund
Keyword(s):  
Circular Economy ◽  
Business Models ◽  
Closed Loop ◽  
Industrial Ecology ◽  
Open Systems ◽  
Digital Platforms ◽  
Disruptive Technologies ◽  
Related Information ◽  
Closed Loop Systems ◽  
Industrial Ecosystems

Disruptive technologies can increase the intelligence of goods and revitalize business models in the circular economy. Applying an industrial ecology perspective, this article discusses how intelligent goods can boost the sustainability of industrial ecosystems. North American and European cases highlight how business model innovators can utilize goods-related information to develop more competitive closed-loop systems. The authors identify three archetypes of closed-loop systems—inner circles, decentralized systems, and open systems—and delineate how they leverage information resources for collaboration. This study advances the understanding of closed-loop systems in the circular economy, which is more dependent than ever on digital platforms.

scholarly journals Ecosystem management and land conservation can substantially contribute to California’s climate mitigation goals

2017 ◽  
Vol 114 (48) ◽  
pp. 12833-12838 ◽  
Author(s):  
D. Richard Cameron ◽  
David C. Marvin ◽  
Jonathan M. Remucal ◽  
Michelle C. Passero
Keyword(s):  
Ecosystem Management ◽  
Ghg Emissions ◽  
The State ◽  
Land Conservation ◽  
Emissions Reduction ◽  
Climate Mitigation ◽  
Grassland Restoration ◽  
Economic Sectors ◽  
Dynamic Framework ◽  
The Individual

Modeling efforts focused on future greenhouse gas (GHG) emissions from energy and other sectors in California have shown varying capacities to meet the emissions reduction targets established by the state. These efforts have not included potential reductions from changes in ecosystem management, restoration, and conservation. We examine the scale of contributions from selected activities in natural and agricultural lands and assess the degree to which these actions could help the state achieve its 2030 and 2050 climate mitigation goals under alternative implementation scenarios. By 2030, an Ambitious implementation scenario could contribute as much as 147 MMTCO2e or 17.4% of the cumulative reductions needed to meet the state’s 2030 goal, greater than the individual projected contributions of four other economic sectors, including those from the industrial and agricultural sectors. On an annual basis, the Ambitious scenario could result in reductions as high as 17.9 MMTCO2e⋅y−1 or 13.4% of the state’s 2030 reduction goal. Most reductions come from changes in forest management (61% of 2050 projected cumulative reductions under the Ambitious scenario), followed by reforestation (14%), avoided conversion (11%), compost amendments to grasslands (9%), and wetland and grassland restoration (5%). Implementation of a range of land-based emissions reduction activities can materially contribute to one of the most ambitious mitigation targets globally. This study provides a flexible, dynamic framework for estimating the reductions achievable through land conservation, ecological restoration, and changes in management regimes.

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