Abstract
Supplier selection and evaluation is an important part of supplier management. Identifying important authors, institutions and their cooperative network relationships, and revealing the theme evolution and research hotspots in this field can provide reference for relevant research in the future. This study based on the CNKI database, 662 relevant documents were obtained using the keywords of “supplier evaluation” and “supplier selection”. Integrating CiteSpace and other software, a bibliometric review of supplier evaluation and selection was conducted with the help of descriptive statistics, cooperative network analysis, and timeline view. The results show that the research on supplier selection evaluation has attracted extensive attention of many scholars, with a wide variety of decision-making methods and diversified application fields. “Cold Chain Logistics”, “Prefabricated Components” and “Sustainable” are the hot spots in recent years. It is worthy of paying more attentions to constructing new models for Supplier selection and evaluation, and some artificial intelligence technologies, such as neural network and machine learning are popular methods to advance the development of this filed.
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References
Wei, J.: Optimization Study on Supplier Management of Flextronics Group. Lanzhou University (2020)
Jia, J., Fan, L., Jia, l.: Neuro-fuzzy system-based research of supplier selectior. J. East China Univ. Sci. Technol. (Soc. Sci. Ed.) 28(6), 38–44 (2013)
Liu, X., Li, H., Wang, C., Chu, C.: A survey of supplier selection models and approaches. Chin. J. Manag. Sci. 21(1), 139–148 (2004)
He, H., Zhu, J., Xu, L., Wang, Y.: Discussion and investigation of supplier selection method. Hebei J. Ind. Sci. Technol. 22(5), 308–311+2 (2005)
Han, K., Li, J.: Survey of supplier selection methods based on supply chain. Logistics Sci.-Tech. 32(10), 133–134 (2009)
Liang, T., Yan, S.: Statistics and overviews of research literature on logistics supplier selection. Logistics Sci.-Tech. 39(7), 24–26+46 (2016)
Zhang, E.: Reasearch on optimization of H warehousing equipment manufacturing company’s purchasing management. Guangdong University of Technology (2020)
Qiu, J.: Bibliometrics. Science and Technology Literature Press (1988)
Mao, X.: The status quo and prospect of the research on the development of new urbanization in china——a bibliometric analysis of the publications with CSSCI journals in latest decade. J. Zhongzhou Univ. 37(5), 32–37 (2020)
Li, W.: Overview and enlightenment of editorial aesthetics research in recent 30 years——from the perspective of bibliometric analysis from 1988 to 2017. Sichuan Drama 32(9), 175–179 (2019)
Zhang, Y., Hua, W., Yuan, S.: Bibliometric measurement and analysis of the research on co-citation clustering from WoS. J. Intell. 35(9), 152–157 (2016)
Xiang, X., Yang, C., Chen, J.: Bibliometric analysis of transit-oriented development research. Urban Rapid Rail Transit 33(1), 15–21 (2020)
Yu, X., Wang, Q., Ling, Y.: A survey of Chinese university think tank research: based on bibliometric analysis. Inf. Sci. 38(8), 164–169 (2020)
Li, Y., Zhang, Y., Zeng, K., Zhang, S.: Comparison of different literature information analysis tools. Chin. J. Med. Libr. Inf. Sci. 24(11), 41–47 (2015)
Zhou, J., Liu, Y., Liu, J.: Exploration of intellectual structure and hot issues in sentiment analysis research. J. China Soc. Sci. Tech. Inf. 39(1), 111–124 (2020)
Huang, J., You, J., Liu, H., Song, M.: Failure mode and effect analysis improvement: a systematic literature review and future research agenda. Reliab. Eng. Syst. Saf. 199, 106885 (2020)
Li, W., Dong, F., Chen, Y.: Dynamic programming approach to multi-attribute group decision-making with ordinal preferences. J. Huazhong Univ. Sci. Technol. (Nat. Sci. Ed.) 37(10), 48–51 (2009)
Li, W., Hu, H., Fu, Y.: Hybrid multi-person, multi-criteria and multi-level evaluation on books supplier. Libr. Inf. Serv. 54(2), 92–95+54 (2010)
Hu, H., Dong, F., Li, W.: Hybrid multi-attribute group decision-making approach to books supplier selection. Comput. Eng. Appl. 46(15), 208–210 (2010)
Wang, D., Wang, X., Wang, Y.: Hybrid multi-attribute group decision-making approach to books supplier selection. Comput. Eng. Appl. 46(15), 208–210 (2010)
Wang, X., Wang, D., Wang, Y.: An empirical study on the green vendor selection index of china iron and steel industry based on factor analysis. Soft Sci. 23(10), 46–49 (2009)
Wang, Y., Wang, X., Wang, D.: The study on the green vendor selection in the iron & steel enterprises based on the combination model of DEA and TOPSIS. Econ. Manag. 24(4), 49–52 (2010)
You, X., Lei, X., Mao, R., Yang, M.: Evaluating supplier corporate social responsibility using an extended ITL-VIKOR method. Chin. J. Manag. 16(12), 1830–1840 (2019)
You, J., Wang, C., Tala, M., Zhang, H.: Multinational supplier selection based on fuzzy quality. J. Tongji Univ. (Nat. Sci.) 47(6), 878–887 (2019)
You, X., You, J.: Outsourcing supplier selection by interval 2-tuple linguistic VIKOR method. J. Tongji Univ. (Nat. Sci.) 45(9), 1407–1414 (2017)
Lang, Z., Liu, H., Meng, N., Wang, H., Wang, H., Kong, F.: Mapping the knowledge domains of research on fire safety – an informetrics analysis. Tunnelling and Underground Space Technology (2020, prepublish)
Acknowledgments
The authors are very grateful to the respected editor and the anonymous referees for their insightful and constructive comments, which helped to improve the overall quality of the paper. This work was supported by the National Natural Science Foundation of China (no.72001196), and the The Project Supported by Zhejiang Provincial Natural Science Foundation of China (no. LQ21G010004).
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Huang, M., Huang, J., Song, M., Fang, X. (2023). A Bibliometric Review on Supplier Evaluation and Selection. In: Hong, W., Weng, Y. (eds) Computer Science and Education. ICCSE 2022. Communications in Computer and Information Science, vol 1811. Springer, Singapore. https://doi.org/10.1007/978-981-99-2443-1_43
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