Serial Chain Merger Evaluation Model and Application to Mortgage Banking*
提出一个串行链合并的数据包络分析模型，用于评估不同链合并的潜在收益，并通过抵押银行业务合并案例验证了该模型能带来整体效率提升。
ABSTRACT Mortgage banking operations can be viewed from a supply chain perspective, where the primary and secondary markets are upstream and downstream chain members, respectively. This article describes a serial‐chain‐merger data envelopment analysis (DEA) model to assess potential gains from the merger of different chain operations. We show that in our framework the merger of different chains with many sub‐chains is efficient within the DEA paradigm if and only if the mergers of sub‐chain members are all efficient. A case study of a banking operations merger is conducted to illustrate and validate the proposed approach. The computations show that merger of operations can result in overall efficiency improvement in the banking industry if the merger preserves the features assumed in the DEA model.