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Academic Journal of Business & Management, 2023, 5(5); doi: 10.25236/AJBM.2023.050522.

Green Supply Chain Performance of Prefabricated Construction from the Perspective of Collaborative Innovation


Penghui Zhang

Corresponding Author:
Penghui Zhang

School of Management Engineering and Business, Hebei University of Engineering, Handan, China


In order to implement the new development concept and improve the performance evaluation system of green supply chain of prefabricated Constructions in my country, a performance evaluation of green supply chain of prefabricated Constructions from the perspective of collaborative innovation is proposed. First, draw lessons from the balanced scorecard theory and apply it to construct a performance evaluation index system for the green supply chain of prefabricated Constructions based on the balanced scorecard. Meta-extension model. Then, the performance evaluation grade is determined by the asymmetric closeness of the matter element to be evaluated about the evaluation grade of each index and the characteristic value of the grade index. Finally, the established evaluation model is applied to a green supply chain of a prefabricated Construction, and the results prove the validity of the model.


Green supply chain of prefabricated Constructions; Collaborative innovation; Balanced scorecard; Improved matter-element extension model; Closeness

Cite This Paper

Penghui Zhang. Green Supply Chain Performance of Prefabricated Construction from the Perspective of Collaborative Innovation. Academic Journal of Business & Management (2023) Vol. 5, Issue 5: 152-163. https://doi.org/10.25236/AJBM.2023.050522.


[1] Zhou Shuiyin, Tang Wenke, (2015), Research on the relationship between supply chain collaboration, technological innovation and enterprise performance. Statistics and Decision, 16, 178-181.

[2] Wang Limei, Han Minghua, (2013) Research on Collaborative Innovation among Supply Chain Enterprises—Based theperspective of Knowledge Sharing. Modern Intelligence, 33, 29-32+37.

[3] Wang Haijun, Feng Junzheng, Zou Hua, (2016), Research on the evaluation and management mechanism of strategic module suppliers from the perspective of collaborative innovation. Research Management,03, 1-12.

[4] Zhao S, Wang J, Ye M, et al. An Evaluation of Supply Chain Performance of China's Prefabricated Building from the Perspective of Sustainability[J]. Sustainability, 2022, 14.

[5] Ding Yingying, Qiao Lin. (2020), The impact of supply chain collaboration on enterprise innovation performance. Statistics and DecisionsCe, 05, 169-172.

[6] Shang Yanjie, Pang Qinghua, (2021), How does strategic consensus among supply chain enterprises affect technological innovation performance: the role of knowledge sharing and supply chain synergy [J]. Science and Technology Progress and Countermeasures, 11,125-134.

[7] Wu Yali, Yi Tingting. (2021), Research on the Interaction between Collaborative Knowledge, Technology, Management Innovation and Sustainable Supply Chain Performance of Retail Enterprises. Business Economics Research, 16,117-120.

[8] Cui Yonghua, Wang Dongjie. (2011), The Construction of Regional People's Livelihood Science and Technology Innovation System——Based on the Perspective of Collaborative Innovation[J]. Science and Science and Technology Management,07, 86-92.

[9] Xu Qiuping, Xiao Huilin, (2021) Research on the Innovation Capability of Commercial Circulation Enterprises from the Perspective of Collaborative Innovation. Business Economics Research, 15, 26-28.

[10] Bai Junhong, Jiang Fuxin, (2015), Collaborative innovation, spatial correlation and regional innovation performance. Economic Research, 07, 174-187.

[11] Liu Dan, Yan Changle, (2013), Research on the Structure and Mechanism of Collaborative Innovation. Management World, 12,1-4.

[12] Yang Chang, Feng Yuqiang, Dong Duo. (2006), Research on the Operation Reference Model of Green Building Supply Chain. Sichuan Building Research, 06,189-192.

[13] Huang Guilin, Zhang Chuang, Wei Xiulu, (2019) Research on green supply chain model of prefabricated Construction. Construction Economics, 07,48-52.

[14] Pengfei Zhou, Yuhong Bai, Da Ge.(2013) DEA Based Performance Evaluation Model of Green Construction Supply Chain. Applied Mechanics and Materials, 2279, 1064-1067.

[15] An Hui, Kuang Yanxi, Yang Wenjing, Song Ling, (2020), Analysis of the integration motivation of the prefabricated building supply chain based on SEM. Journal of Civil Engineering and Management, 01,50-56.

[16] DAN Bin, LIU Fei, (2000), Research on Green Supply Chain and Its System Structure. China Mechanical Engineering,11,40-42+4.

[17] Qu Fuqiang, Yan Wei, Chen Chuyi, (2019) Research on the construction of collaborative performance evaluation index system of prefabricated building supply chain. Construction Economics, 10, 97-102.

[18] Zhang Yujia, Qu Fuqiang, Chen Chuyi, (2021), Research on performance evaluation of prefabricated building supply chain based on PCSCOR-FANP. ArchitectureEconomics, 42, 172-176.

[19] Horváth Péter and Gleich Ronald, (2022), Die Balanced Scorecard in der produzierenden Industrie. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 11, 562-568.

[20] Zeng Xianyang, Qu Jianhua, Gao Zhilin, Xu Guangyin, Liang Xiaohui, Liu Ke, Zhou Jingyi, (2004), Research on the Index System of Supply Chain Performance Evaluation. Journal of Henan Agricultural University, 02,231-236.

[21] Wu Fang, Zhang Tao, Gu Feng, (2012), Customer-oriented supply chain performance evaluation. Industrial Engineering and Management Li, 17, 62-67.

[22] Zhao Lina, (2017), Internal Control Construction of Business Processes in Customized Manufacturing Enterprises——Based on the Perspective of Supply Chain Management. Accounting and Accounting Communications, 26, 113-117.

[23] Cai Wen. An, (1998), Overview of Extenics. Systems Engineering Theory and Practice, 01, 77-85.

[24] Zhang Sui, Zhang Mei, Chi Guotai. (2010), Science and technology evaluation model based on entropy weight method and its empirical research. Journal of Management, 7, 34-42.

[25] Deng Xue, Li Jiaming, Zeng Haojian, Chen Junyang, Zhao Junfeng, (2012), Analysis and Application of AHP Weight Calculation Method. Practice and Understanding of Mathematics, 42, 93-100.

[26] Zhang Xiaoping, (2004), The integration of fuzzy comprehensive evaluation results based on closeness. Journal of Shandong University (Science Edition), 02, 25-29.