Enhancing the Efficiency of the Benchmarking Learning Map Model: The Integrated Fra Perspective

Wen Cheng Lin () and Shmuel Yahalom
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Wen Cheng Lin: Business and Administration, National Taipei College of Business, Taiwan, R.O.C
Shmuel Yahalom: State University of New York, Maritime College, USA.

Journal for Economic Forecasting, 2012, issue 3, 44-57

Abstract: Financial Ratio Analysis (FRA) has been used for the evaluation of firm’s operating performance. However, these individual performance values calculated from FRA have their own different managerial deficiencies. The original Data Envelopment Analysis (DEA) may fill this gap and may be used to calculate efficiency values. This study integrates the DEA with Slacks-Based Measure Model (SBM) to enhance the evaluation efficiency of firms’ operating performance. The analysis used financial data of 46 textile firms (that trade in the Taiwan stock market) before the 2007 financial crisis. From this total, 8 textile firms were categorized as an efficient operating group and the other 38 firms were categorized inefficient. This study employed the slackbased measure and the analysis model as a benchmark management tool to offer some improvements for the inefficient firms.

Keywords: financial ratio; performance evaluation; Slacks-Based Measure Model (SBM); benchmarking management; BCG matrix (search for similar items in EconPapers)
JEL-codes: C33 G21 (search for similar items in EconPapers)
Date: 2012
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