Research on key techniques and hotspot migration of supplier selection and evaluation
- DOI
- 10.2991/978-94-6463-262-0_78How to use a DOI?
- Keywords
- supplier selection; supplier evaluation; key technologies; hotspot migration; Citespace
- Abstract
Since suppliers are the starting point for influencing the value of a company's final product, evaluating and selecting suitable suppliers is an essential element of purchasing decisions. This paper uses bibliometric and inductive-deductive approaches to identify critical techniques and hotspots in supplier selection and evaluation. It is found that: (1) model-driven, knowledge-driven, probability statistics-driven, and data-driven are the leading technology categories for supplier selection and evaluation. (2) In terms of hotspot migration, the field of supplier selection and evaluation has gone through three stages: exploration period, active period, and blowout period, and "role change", "technology integration", and "green and low-carbon" are the core contents in this field. Moreover, the paper analyzes the tracks of development and practical effectiveness of supplier selection and evaluation.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xiang Li AU - Huang Min Hao AU - Jia Huang PY - 2023 DA - 2023/10/09 TI - Research on key techniques and hotspot migration of supplier selection and evaluation BT - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023) PB - Atlantis Press SP - 756 EP - 763 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-262-0_78 DO - 10.2991/978-94-6463-262-0_78 ID - Li2023 ER -