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In the process of collaborative procurement, buyers and suppliers are prone to conflict in cooperation due to differences in needs and preferences. Negotiation is a crucial way to resolve the conflict. Aimed at ameliorating the situations of underdeveloped self-adaptive learning effect of current collaborative procurement negotiation, this paper constructs a negotiation model based on multi-agent system and proposes a negotiation optimization strategy combined with machine learning. It provides a novel perspective for the analysis of intelligent SCM. The experimental results suggest that the proposed strategy improves the success rate of self-adaptive learning and joint utility of agents compared with the strategy of single learning machine, and it achieves win-win cooperation between purchasing enterprise and supplier.

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In order to understand the impact of the financial crisis on the software outsourcing enterprises, to recognize the essence of the internal resources and capabilities, and to figure out which element or elements have a huge influence on the competence of the software outsourcing enterprises after the financial crisis, a survey about the software outsourcing enterprises in Jiangsu was conducted in 2009. in this paper, we interviewed senior managers of 120 software outsourcing enterprises in Nanjing, Wuxi and Suzhou. Empirical results show that the long-term relationship between clients and human resources are the key factors and there is a mutual association in the internal factors which influence the competence of the software enterprises. we propose that China's software outsourcing enterprises start to use multipronged approach to enhance their competence.