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Titlebook: Data Envelopment Analysis; A Handbook of Empiri Joe Zhu Book 2016 Springer Science+Business Media New York 2016 DEA.DEA Models.Data Envelop

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Evaluation of Subsidiary Marketing Performance: Combining Process and Outcome Performance Metrics,mance enables a global corporation to gain strategic, operational, and diagnostic insights into the performance of its subsidiaries. Our approach is empirically illustrated with an evaluation of the marketing performance of subsidiaries of a large global corporation.
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Barbara Cresci,Mario Maggi,Paolo Sbracciato 2011 is presented. A method for evaluating the allocation of resources within a specific team during a specific season is also described. Taken together these two applications should provide the reader with a basic understanding of the DEA methodology and how it can be applied to the professional
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Framing the Issue: An Introductionntal impacts or better environmental performances. A two-stage network DEA model is developed for sustainable design performance evaluation with an “industrial design module” and a “bio design module.” To demonstrate the applications of our DEA-based methodology, we use data of key engineering speci
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Medical Care for Homeless Personshe existing models with our MAM model. The empirical results show that the directional distance function and radial efficiency models may generate spurious efficiency estimates, and thus it must be with caution.
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Clinical Measurement in Coloproctologyo-stage analysis”, “undesirable factors”, “cross-efficiency and ranking”, and “network DEA, dynamic DEA, and SBM”. Each research front is then examined with key-route main path analysis to uncover the elements in its core. In the end, we present the prevailing DEA applications and the observed assoc
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