Under the premise that financing constraints frequently occur in the supply chain, this paper investigates the financing model of the supplier providing guarantee for the retailer under symmetric and asymmetric information. The optimal solutions of the retailer, the supplier, and the bank are studied by using the Stackelberg game. Results show that increasing the supplier's guarantee proportion can effectively improve the bank's reasonable margin rate and increase the supplier's profit. Under the condition of asymmetric information, the bank can increase the probability of credit loan in the supply chain by reducing the cost of spot check and setting up a reasonable fine limit.

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Abstract. Along with the rapid development of information technologies, such as cloud computing, mobile internet and internet of things, and the promotion of IT application, all kinds of data are generated and accumulated rapidly in various ways, big data era is coming, in which enterprises are faced with both opportunities and unprecedented challenges. Various processes, from decision making to operation and from designing to marketing, are being influenced by big data in manufacturing industry. This paper, according to the nature and features of big data, analyzes and extends a classical model of organizational change, Leavitt's model of organizational change, in order to explore the ways for enterprises to cope with challenges and seize chances of development in big data era. Then, using the extended Leavitt's model, opportunities and challenges derive from big data are combed, and approaches to making use of big data and coping with big data are generalized from five perspectives, including task, structure, people, technology and environment.