Identification of stakeholder related barriers in sustainable manufacturing using Social Network Analysis

Yip, Wai Sze; To, Suet

doi:10.1016/j.spc.2021.04.018

Cited by 24 publications

(6 citation statements)

References 55 publications

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“… Malek and Desai [ 12 ] Sustainable Manufacturing is an initiative which integrates both the environmental and economical facets of the business. Yip and To [ 13 ] SM is critical for the forthcoming manufacturing and its development is metamorphic. Alayon et al [ 14 ] Sustainable manufacturing is discussed from the context of the triple bottom line, which considers the three dimensions of sustainability with the manufacturing business sector: environmental.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Malek and Desai [ 12 ] opined that the traditional manufacturing methods focus on producing products without considering their negative impacts on the environment. To perpetuate the operations of an organization, it must be able to meet the needs of the present and avoid compromising the rights and resources of future generations [ 13 ].…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

A decision support system for environmentally-sustainable strategies for the Mauritian Textile and apparel industry using system dynamics: The materials and land perspectives

2023

Heliyon

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A decision support system for environmentally-sustainable strategies for the Mauritian Textile and apparel industry using system dynamics: The materials and land perspectives

2023

Heliyon

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“…Intermediary centrality describes the ability of node cities to control information and resources in the network. The higher the intermediary centrality is, the stronger the power of node cities to prevent other node cities is and the more prominent the role of the intermediary and bridge is [39]. The lower the intermediate centrality of the node, the weaker the control ability of the node to other nodes, and the node is at the edge of the whole network.…”

Section: Individual Network Characteristicsmentioning

confidence: 99%

Features of Industrial Green Technology Innovation in the Yangtze River Economic Belt of China Based on Spatial Correlation Network

Yao

Wang

2023

Sustainability

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A generic phrase for technical and managerial innovation geared toward environmental conservation is “green-technology innovation.” It is essential to attain ecologically friendly development that promotes economic progress. Promoting the combined growth of the economy, society, and environment is extremely important. The industrial-green-technology innovation efficiency of 110 cities in the Yangtze River Economic Belt is calculated using the Sup-SBM model from 2011 to 2021 while considering undesirable output. The modified gravity model is then used to convert the attribute data of industrial-green-technology innovation efficiency into relational data. The Yangtze River Economic Belt uses the social-network-analysis (SNA) approach to investigate the geographical correlation-network properties of industrial-green-technology innovation efficiency. The findings demonstrate the following: (1) There is a rising trend in the degree of industrial-green-technology innovation efficiency between different cities in the Yangtze River Economic Belt, and this pattern is known as “three plates.” (2) The examination of network characteristics reveals an indigenous core–edge structure in space, with the network density of the Yangtze River Economic Belt displaying an increasing trend over the research period. (3) Individual characteristic analysis reveals that although the innovation-efficiency network tends to be flat, the degree centrality and closeness centrality of industrial-green-technology innovation efficiency in the Yangtze River Economic Belt indicate an upward trend over the research period. In addition, Chengdu in the upstream region, Wuhan in the center, and Shanghai in the downstream area serve as bridge and intermediary nodes in the spatial correlation network. (4) Block-model analysis reveals a close spatial link between blocks. A more complex and durable spatial link is now possible because of the spatial relationship of green-innovation efficiency in cities, which has shattered the boundaries imposed by traditional geographic space. The Yangtze River Economic Belt will be jointly promoted by several of the policy recommendations in this paper, aligning with that.

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“…For instance, as demonstrated by Fan Zhang and others [1], social network analysis methods were used to analyze and evaluate the selection of construction equipment types, providing meaningful suggestions for the optimal selection of various types of construction equipment, and proposing a practical case study to evaluate the selection of loaders. Similarly, W. S. Yip et al [2]. carefully considered stakeholders' concerns about the triple bottom line (TBL) and employed Social Network Analysis (SNA) to identify and investigate potential obstacles and their causal relationships related to stakeholders in sustainable manufacturing (SM).…”

Section: Introductionmentioning

confidence: 99%

A Study of Quality Management Risks in Construction Projects Based on Social Network Analysis

Huang

2024

AEMPS

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This research employs a two-dimensional perspective that integrates stakeholders and the entire project lifecycle. It utilizes social network analysis methods and Ucinet6 software to establish a network model of quality management risks in the context of Engineering Inherent Defects Insurance (IDI), Engineering Quality Liability Insurance, and Engineering Quality Assurance Insurance. The study calculates and analyzes the centrality, group density, and cohesive subgroups within the risk network. It identifies key influencing factors and, based on the analysis results, proposes strategies and recommendations. This research provides vital decision support for the future development of the construction industry. The study reveals that three key factors, namely, inadequate construction organization management, unclear construction scope definition, and improper maintenance of construction machinery, are closely related to quality management risk factors. These risks can be effectively mitigated through measures such as strengthening the training of management personnel, implementing relevant regulations, and regular maintenance of construction machinery.

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Identification of stakeholder related barriers in sustainable manufacturing using Social Network Analysis

Cited by 24 publications

References 55 publications

A decision support system for environmentally-sustainable strategies for the Mauritian Textile and apparel industry using system dynamics: The materials and land perspectives

A decision support system for environmentally-sustainable strategies for the Mauritian Textile and apparel industry using system dynamics: The materials and land perspectives

Features of Industrial Green Technology Innovation in the Yangtze River Economic Belt of China Based on Spatial Correlation Network

A Study of Quality Management Risks in Construction Projects Based on Social Network Analysis

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