Social network analysis and network connectedness analysis for industrial symbiotic systems: model development and case study

Zhang, Yan; Zheng, Hongmei; Chen, Bin; Yang, Naijin

doi:10.1007/s11707-012-0349-4

Cited by 40 publications

(28 citation statements)

References 24 publications

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“…Value flow analysis Fang and Zhou (2009) List of indicators Geng et al (2009) Emergy-based measurement Geng et al (2014) Discounted cash flow, multiattribute global inference of quality Jung et al (2013) Constructs of roundput and diversity; COD BOD, CO 2 emissions Korhonen and Snäkin (2005), Yu et al (2015) Eco-efficiency computation Park and Behera (2014) Metrics-based performance assessment Tian et al (2014) Eco-connectance, by-product, and waste recycling rate Dai (2010) Exergy Valero et al (2013) Direct quantification, qualitative description of benefit Van Berkel et al (2009) Emergy-based measurement Wang et al (2005Wang et al ( , 2006 Industrial symbiosis indicator (ISI) Eco-connectance By-product and waste recycling rate Felicio et al (2016), Mantese and Amaral (2016) vulnerabilities of the system. Additionally, social network analysis studies have also been conducted to explore the relation of social relationships on the actual formation of physical IS connection among firms (Ashton, 2008;Zhang, Zheng, Chen, & Yang, 2013;Zheng, Zhang, & Yang, 2012).…”

Section: Performance Assessment Methods Referencementioning

confidence: 99%

“…() through the study of the flow structure of among the entities and applying cascading failure model to study the impact of potential risks and vulnerabilities of the system. Additionally, social network analysis studies have also been conducted to explore the relation of social relationships on the actual formation of physical IS connection among firms (Ashton, ; Zhang, Zheng, Chen, & Yang, ; Zheng, Zhang, & Yang, ).…”

Section: Thematic Analysismentioning

confidence: 99%

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Tools for promoting industrial symbiosis: A systematic review

Yeo

Masi

Low

et al. 2019

J of Industrial Ecology

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Industrial symbiosis (IS) employs a cross‐organizational perspective to seek synergistic pairings of one company's waste output to another company's input, enabled by interfirm cooperation through resource and information sharing. Orchestrating IS relationships among companies, however, remains a complex process. In the literature, a wide range of qualitative and quantitative tools have emerged, tackling issues ranging from identifying IS creation opportunities to performance evaluation. Thus far, the available literature has focused on separate aspects and perspective of IS creation. Each individual work contributes, in part, to the overall process of IS creation. The disparate perspectives provided by the literature reflect the fragmented nature of available tools supporting IS, which operate in isolation of each other. An encompassing view of tools supporting the process of IS creation is missing to date. Therefore, to fill this gap, this study aims to develop a more comprehensive description of the landscape of IS tools by analyzing the associated approaches, roles, and contribution of existing tools. Through this understanding, the insights gained can be used to aid future development and advancement of tools for IS practitioners.

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Section: Performance Assessment Methods Referencementioning

confidence: 99%

Section: Thematic Analysismentioning

confidence: 99%

Tools for promoting industrial symbiosis: A systematic review

Yeo

Masi

Low

et al. 2019

J of Industrial Ecology

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“…They examined the Kalundborg symbiotic network and concluded that their approach provided a comprehensive methodological and analytical framework that could reveal the structural elements of an industrial symbiotic network. Some Chinese scholars have also used metrics from network analysis to identify central nodes, weak nodes, and independent nodes in a network or to define how their roles have changed over time (Zhong et al, 2010;Zhang et al, 2013). In such research, various network analysis metrics have been used to analyze the structural attributes of a single network or a single metric has been used to compare multiple networks, but few researchers (e.g., Zhang et al, 2013) have compared two or more industrial symbioses in different countries (or regions) using more than one metric to identify differences in their structural attributes, and the systems have often not been quantitatively categorized in those studies.…”

Section: Introductionmentioning

confidence: 99%

Network analysis of eight industrial symbiosis systems

et al. 2015

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Industrial symbiosis is the quintessential characteristic of an eco-industrial park. To divide parks into different types, previous studies mostly focused on qualitative judgments, and failed to use metrics to conduct quantitative research on the internal structural or functional characteristics of a park. To analyze a park's structural attributes, a range of metrics from network analysis have been applied, but few researchers have compared two or more symbioses using multiple metrics. In this study, we used two metrics (density and network degree centralization) to compare the degrees of completeness and dependence of eight diverse but representative industrial symbiosis networks. Through the combination of the two metrics, we divided the networks into three types: weak completeness, and two forms of strong completeness, namely "anchor tenant" mutualism and "equality-oriented" mutualism. The results showed that the networks with a weak degree of completeness were sparse and had few connections among nodes; for "anchor tenant" mutualism, the degree of completeness was relatively high, but the affiliated members were too dependent on core members; and the members in "equality-oriented" mutualism had equal roles, with diverse and flexible symbiotic paths. These results revealed some of the systems' internal structure and how different structures influenced the exchanges of materials, energy, and knowledge among members of a system, thereby providing insights into threats that may destabilize the network. Based on this analysis, we provide examples of the advantages and effectiveness of recent improvement projects in a typical Chinese eco-industrial park (Shandong Lubei).

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“…There are some studies using SNA to analyze networks for industrial symbiosis systems (Schiller et al, 2014;Zhang et al, 2013;Zhang et al, 2016). In this paper, we performed a study combining SNA and ENA to explore a deep insight into the whole industrial metabolic system, not only the industrial symbiosis system.…”

Section: Introductionmentioning

confidence: 99%