Green Supplier Selection for Small Enterprises without Impairing Earnings

Abstract

In recent years, more and more studies have shown that sustainable development and competitive profitability don't need to be mutually exclusive, and as a result, not only governments and non-profit organizations, but also more and more companies have started to look at green procurement as an important part of sustainable development. However, as a major contributor to carbon emissions and a key implementer of green procurement, MSMEs have long faced internal and external disadvantages in the form of a lack of expert support and external information. To prevent green procurement from becoming a strategy of information monopoly for large enterprises, and to reduce the cost of green procurement and encourage more SME to join, this paper focuses on the core link of green procurement - supplier selection, and uses AI model to enhance the traditional AHP hierarchical analysis method to provide a set of convenient and cost-effective green supplier selection solutions for SME. high performance green supplier selection program, and provides some observations and suggestions based on the model. In the information age, for individuals or organizations that lack information, large language models such as GPT provide a fast track. The nature of the decision-making capability of large language models, such as machine learning, is increasingly proving to be effective in addition to the traditional function of information retrieval. In this paper, we used ChatGPT to generate a group of virtual experts as an AHP expert panel, and established the method of developing AHP top guides and consistency tests to ensure that their scores are effective. Finally, we determined the 5 first-level indicators and 16 sub-indicators to be considered by micro and small enterprises to make a green supplier selection with guaranteed benefits and no cost increase, as well as the weights of these indicators. The method is highly feasible and scalable, and micro and small enterprises can easily reproduce the programme in practice and add to the learning materials or objectives according to the actual situation or to the specific needs of the enterprise.