[1]陈铧,吴仁华.基于元分析的装配式建筑供应链韧性影响因素研究[J].福建理工大学学报,2025,23(02):138-146.[doi:10.3969/j.issn.2097-3853.2025.02.006]
 CHEN Hua,WU Renhua.Meta-analysis-based research on factors influencing prefabricated building supply chain resilience[J].Journal of Fujian University of Technology;,2025,23(02):138-146.[doi:10.3969/j.issn.2097-3853.2025.02.006]
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基于元分析的装配式建筑供应链韧性影响因素研究
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《福建理工大学学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第23卷
期数:
2025年02期
页码:
138-146
栏目:
出版日期:
2025-04-25

文章信息/Info

Title:
Meta-analysis-based research on factors influencing prefabricated building supply chain resilience
作者:
陈铧吴仁华
福建理工大学管理学院
Author(s):
CHEN Hua WU Renhua
School of Management, Fujian University of Technology
关键词:
装配式建筑供应链韧性影响因素元分析
Keywords:
prefabricated building supply chain resilience influencing factors meta-analysis
分类号:
TU741.2
DOI:
10.3969/j.issn.2097-3853.2025.02.006
文献标志码:
A
摘要:
供应链韧性对装配式建筑发展的重要性日益凸显。关于装配式建筑供应链韧性影响因素研究的文献持续出现,但研究得出的影响因素多而散,目前尚未有文献对关键影响因素的共识性及异质性进行分析。故基于系统严格筛选,对12 篇实证研究的共3 011 个独立样本量、117 个效应值进行元分析,并对研究时间、发表类型、社会环境以及样本量四种研究特征的调节效应进行检验。结果表明,存在10 个高共识度的关键影响因素,其中供应商数量效应值最高,四种研究特征对部分影响因素的效应值存在调节作用。这是元分析方法在国内装配式建筑研究领域的首次探索,研究结论不仅可以对装配式建筑供应链韧性的优化提供针对性的建议,还可以为后续分析提供参考借鉴。
Abstract:
The importance of supply chain resilience for the development of prefabricated buildings has become increasingly prominent. The literature on factors influencing the resilience of the prefabricated construction supply chain continues to appear, but the influencing factors are numerous and scattered, and there is no literature to analyze the consensus and heterogeneity of the key influencing factors. Therefore, based on the strict screening of the system, a meta-analysis was conducted of 3011 independent samples and 117 effect values of 12 empirical studies, and the moderating effects of the four research characteristics of research time, publication type, social environment, and sample size were tested. Results show that there are 10 key influencing factors with high consensus, among which the number of suppliers has the highest effect value, and the four research characteristics have a moderating effect on the effect value of some influencing factors. This is the first exploration of the application of meta-analysis method in the field of prefabricated building research in China. The research conclusion can not only provide targeted suggestions for the optimization of the resilience of the prefabricated building supply chain, but also provide reference for subsequent analysis.

参考文献/References:

[1] 朱蕾,陈静怡,袁竞峰. 基于ISM的装配式建筑供应链韧性关键影响因素研究[J]. 土木工程与管理学报,2020,37(5):108-114. [2] 王红春,陈雅文. 基于DEMATEL-ISM模型的装配式建筑供应链韧性影响因素研究[J]. 工程管理学报,2023,37(2):13-18. [3] 李政道,曾佳,吴恒钦. 装配式建筑供应链韧性影响因素及多阶段传导关系研究[J]. 工程管理学报,2024,38(1):18-23. [4] LIAO L,YANG C,QUAN L. Construction supply chain management:A systematic literature review and future development[J]. Journal of cleaner production,2023,382 (Jan.1):135230.1-135230.18.[5] MEIJIE Z,YUMING L,BOYA J. Influencing factors of resilience of PBSC based on empirical analysis[J]. Buildings,2021,11(10):467-467.[6] 王乾坤,段宏磊,申楚雄,等. 装配式建筑弹性供应链影响因素研究[J]. 建筑经济,2021,42(10):79-82.[7] MOHER D,LIBERATI A,TETZLAFF J,et al. 系统综述和荟萃分析优先报告的条目:PRISMA声明[J]. 中西医结合学报,2009,7(09):889-896.[8] Al N A,GHALEB S,RATEB S,et al. Exploring Implementation of Blockchain for the Supply Chain Resilience and Sustainability of the Construction Industry in Saudi Arabia[J]. Sustainability,2022,14(11):6427-6427.[9] 钱明明. EPC模式下建筑供应链鲁棒性影响因素研究[D]. 天津:天津理工大学,2015.[10] 施雨,茆意宏,张贵香. 个性化算法推荐服务用户采纳意愿影响因素:元分析研究[J]. 图书馆杂志,2024,43(2):96-108. [11] PETERSON R A,BROWN S P. On the use of beta coefficients in meta-analysis.[J]. Journal of Applied Psychology,2005,90(1):175-81.[12] ROSENTHAL R. Meta-analytic procedures for social research[J]. Educational Researcher,1991,15(8):18-20.[13] 袁晓芳,贾倩荷,孙林辉. 基于元分析的煤矿工人不安全行为影响因素及其调节变量[J]. 煤矿安全,2023,54(11):245-250. [14] LIU X,MENG J,WANG J,et al. Influencing factors and improvement strategies ofsupply chain resilience of prefabricated construction from the perspective of dynamic capabilities: the case of China[J].Engineering,Construction and Architectural Management,Vol. ahead-of-print No. ahead-of-print.[15] 白杨曦. 建筑供应链金融生态系统韧性的影响机理研究[D]. 北京:北京建筑大学,2023.[16] CHENG S D,ZHOU X,ZHANG Y H,et al. Study on resilience factors and enhancement strategies in prefabricated building supply chains[J]. Buildings,2024,14(1):195-195.[17] ATTIA E A,ALARJANI A,UDDIN M S,et al. Examining the influence of sustainable construction supply chain drivers on sustainable building projects using mathematical structural equation modeling approach[J]. Sustainability,2023,15(13):10671-10702. [18] KEXING L,MAHDI B,MING L,et al. Title of the Unreviewed Paper. Electronic copy available at: https:∥ssrn.com/abstract=4598795.[19] QI Y,LI L H,KONG F W. Research on the improvement path of prefabricated buildings’ supply chain resilience based on structural equation modeling:a case study of Shenyang and Hangzhou,China[J]. Buildings,2023,13(11):2801-2801. [20] OSUNSANMI O T,AIGBAVBOA O C,THWALA D D W,et al. Modelling construction 4.0 as a vaccine for ensuring construction supply chain resilience amid COVID-19 pandemic[J]. Journal of Engineering Design and Technology,2021,20(1): 132-158.[21] 张亚雯. EPC模式下建筑供应链系统的韧性评价研究[D]. 杭州:杭州电子科技大学,2022.[22] CHERIAN T M,MATHIVATHANAN D,ARUN SJ C J,et al. Influence of supply chain resilience,information technology capabilities and agility on cost and delivery performance in construction supply chains:an Indian perspective[J]. The International Journal of Logistics Management,2023,34(4):1050-1076. [23] BRANDON-JONES E,SQUIRE B,AUTRY C W,et al. A contingent resource-based perspective of supply chain resilience and robustness[J]. Journal of Supply Chain Management,2014,50(3):55-73. [24] GAO Y,LENG Y B,SHAN B A. Control supply chain risks in digital transformation:a new way to improve supply chain resilience[J]. Journal of organizational and end user computing,2022,37,(7):1.[25] 王珍,张永红,徐巧巧. 几种发表性偏倚评估方法介绍[J]. 中国卫生统计,2009,26(5): 539-541.[26] COHEN J. Significant Measures. (Book Reviews: Statistical Power Analysis for the Behavioral Sciences)[J]. Science,1970,169(3): 167-168.[27] 陈红,郭彤梅,张玥,等. 内部控制对制造业企业组织韧性的影响研究:基于企业生命周期视角[J/OL]. 南开管理评论,1-28[2025-02-27]. http:∥kns.cnki.net/kcms/detail/12.1288.f.20240731.1647.003.html.

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更新日期/Last Update: 2025-04-25