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Serial Chain Merger Evaluation Model and Application to Mortgage Banking


  • An earlier version of this work has been presented by the first author as an invited talk at INFORM 2010, Austin. The second author's work was supported by the University of Chicago Booth School Of Business.

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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.