本研究以新能源汽车供应链弹性作为研究对象识别其影响因素,分析因素之间内在关联,推动新能源汽车供应链领域战略发展。基于动态能力理论,通过文献研究并结合专家意见识别出新能源汽车供应链弹性影响因素,并运用模糊决策试验与评价法(Fu...本研究以新能源汽车供应链弹性作为研究对象识别其影响因素,分析因素之间内在关联,推动新能源汽车供应链领域战略发展。基于动态能力理论,通过文献研究并结合专家意见识别出新能源汽车供应链弹性影响因素,并运用模糊决策试验与评价法(Fuzzy-DEMATEL)对影响因素的因果关系和重要程度进行分析,识别出其中的关键影响因素。新能源汽车供应链弹性的关键影响因素包括:供应链网络结构、供应链冗余能力、应急管理能力、供应链敏捷性、供应链灵活性、资源整合能力、合作伙伴关系。根据实证研究结论,提出了相应的对策建议。研究采用小样本调查且未将影响因素权重量化,后续研究可扩大样本规模及范围,以检验研究结论的稳健性。This study takes new energy vehicle supply chain resilience as the research object to identify its influencing factors, analyze the intrinsic correlation between the factors, and promote the strategic development of new energy vehicle supply chain field. Based on the dynamic capability theory, we identify the influencing factors of new energy vehicle supply chain resilience through literature research and expert opinions, and analyze the causal relationship and importance of the influencing factors by using the Fuzzy-DEMATEL method to identify the key influencing factors. The key influencing factors of supply chain resilience of new energy automobile include: supply chain network structure, supply chain redundancy capacity, emergency management capacity, supply chain agility, supply chain flexibility, resource integration capacity, and partnership. Based on the findings of the empirical study, corresponding countermeasures are proposed. The study adopts a small sample survey and does not quantify the weights of the influencing factors, and subsequent studies can expand the sample size and scope to test the robustness of the findings.展开更多
China has been promoting the renovation of old residential communities vigorously.Due to the financial pressure of the government and the sustainability of the renovation of old residential communities,public-private ...China has been promoting the renovation of old residential communities vigorously.Due to the financial pressure of the government and the sustainability of the renovation of old residential communities,public-private partnerships(PPP)have already gained attention.The selection of social capital is key to improving the efficiency of the PPP model in renovating old residential communities.In order to determine the influencing factors of social capital selection in the renovation of old residential communities,this paper aims to find an effective approach and analyze these factors.In this paper,a fuzzy decision-making and trial evaluation laboratory(fuzzy-DEMATEL)technique is extended and amore suitable systemis developed for the selection of social capital using the existing group decisionmaking theory.In the first stage,grounded theory is used to extract the unabridged key influencing factors for social capital selection in the renovation of old residential communities.Secondly,by considering the impact of expert weights,the key influencing factors are identified.The interactions within these influencing factors are discussed and the credibility of the results is verified by sensitivity analysis.Finally,these key influencing factors are sorted by importance.Based on the results,the government should focus on a technical level,organizationalmanagement abilities,corporate reputation,credit status,etc.This study provides the government with a theoretical basis and a methodology for evaluating social capital selection.展开更多
老旧小区改造工程是一项增进民众福祉的关键举措。为了提升改造工程进行中的居民安全感,在系统性地调查老旧小区改造对居民安全感的具体影响的基础上,本文构建了影响因素框架,并综合利用Fuzzy-DEMATEL等方法分析了各影响因素之间错综复...老旧小区改造工程是一项增进民众福祉的关键举措。为了提升改造工程进行中的居民安全感,在系统性地调查老旧小区改造对居民安全感的具体影响的基础上,本文构建了影响因素框架,并综合利用Fuzzy-DEMATEL等方法分析了各影响因素之间错综复杂的因果逻辑与相互依赖关系。研究成果可以为进一步增强老旧小区改造效率提供参考。The renovation project of old communities is a key measure to enhance public welfare. In this paper, to improve the sense of security among residents during the renovation project, a framework of influencing factors was constructed based on a systematic investigation into the specific impacts of old community renovation on residents’ sense of security. The Fuzzy-DEMATEL and other methods were comprehensively utilized to analyze the complex causal logic and interdependencies among various influencing factors. The research findings can provide references for further enhancing the efficiency of old community renovation.展开更多
文摘本研究以新能源汽车供应链弹性作为研究对象识别其影响因素,分析因素之间内在关联,推动新能源汽车供应链领域战略发展。基于动态能力理论,通过文献研究并结合专家意见识别出新能源汽车供应链弹性影响因素,并运用模糊决策试验与评价法(Fuzzy-DEMATEL)对影响因素的因果关系和重要程度进行分析,识别出其中的关键影响因素。新能源汽车供应链弹性的关键影响因素包括:供应链网络结构、供应链冗余能力、应急管理能力、供应链敏捷性、供应链灵活性、资源整合能力、合作伙伴关系。根据实证研究结论,提出了相应的对策建议。研究采用小样本调查且未将影响因素权重量化,后续研究可扩大样本规模及范围,以检验研究结论的稳健性。This study takes new energy vehicle supply chain resilience as the research object to identify its influencing factors, analyze the intrinsic correlation between the factors, and promote the strategic development of new energy vehicle supply chain field. Based on the dynamic capability theory, we identify the influencing factors of new energy vehicle supply chain resilience through literature research and expert opinions, and analyze the causal relationship and importance of the influencing factors by using the Fuzzy-DEMATEL method to identify the key influencing factors. The key influencing factors of supply chain resilience of new energy automobile include: supply chain network structure, supply chain redundancy capacity, emergency management capacity, supply chain agility, supply chain flexibility, resource integration capacity, and partnership. Based on the findings of the empirical study, corresponding countermeasures are proposed. The study adopts a small sample survey and does not quantify the weights of the influencing factors, and subsequent studies can expand the sample size and scope to test the robustness of the findings.
基金supported by the National Natural Science Foundation of China(No.62141302)the Humanities Social Science Programming Project of the Ministry of Educa-tion of China(No.20YJA630059)+2 种基金the Natural Science Foundation of Jiangxi Province of China(No.20212BAB201011)the China Postdoctoral Science Foundation(Grant No.2019M662265)the Research Project of Economic and Social Development in Liaoning Province(Grant No.2022lslybkt-053).
文摘China has been promoting the renovation of old residential communities vigorously.Due to the financial pressure of the government and the sustainability of the renovation of old residential communities,public-private partnerships(PPP)have already gained attention.The selection of social capital is key to improving the efficiency of the PPP model in renovating old residential communities.In order to determine the influencing factors of social capital selection in the renovation of old residential communities,this paper aims to find an effective approach and analyze these factors.In this paper,a fuzzy decision-making and trial evaluation laboratory(fuzzy-DEMATEL)technique is extended and amore suitable systemis developed for the selection of social capital using the existing group decisionmaking theory.In the first stage,grounded theory is used to extract the unabridged key influencing factors for social capital selection in the renovation of old residential communities.Secondly,by considering the impact of expert weights,the key influencing factors are identified.The interactions within these influencing factors are discussed and the credibility of the results is verified by sensitivity analysis.Finally,these key influencing factors are sorted by importance.Based on the results,the government should focus on a technical level,organizationalmanagement abilities,corporate reputation,credit status,etc.This study provides the government with a theoretical basis and a methodology for evaluating social capital selection.
文摘老旧小区改造工程是一项增进民众福祉的关键举措。为了提升改造工程进行中的居民安全感,在系统性地调查老旧小区改造对居民安全感的具体影响的基础上,本文构建了影响因素框架,并综合利用Fuzzy-DEMATEL等方法分析了各影响因素之间错综复杂的因果逻辑与相互依赖关系。研究成果可以为进一步增强老旧小区改造效率提供参考。The renovation project of old communities is a key measure to enhance public welfare. In this paper, to improve the sense of security among residents during the renovation project, a framework of influencing factors was constructed based on a systematic investigation into the specific impacts of old community renovation on residents’ sense of security. The Fuzzy-DEMATEL and other methods were comprehensively utilized to analyze the complex causal logic and interdependencies among various influencing factors. The research findings can provide references for further enhancing the efficiency of old community renovation.
