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Abstrak :
Data Envelopment Analysis (DEA) is mathematical programming techniques for evaluating relative efficiency of decision making unit (DMUs) in managing their resources (input) to produce results (output). DEA assumed that functional distribution/relations between input and output aren't known. This paper applied DEA to find the most effective new product launching process between 138 products from 17 countries in Asia and Latin America at 53 multinational companies (MNC). DEA application in this case will identified effectiveness of new product launching process based on quantitative calculation. Application of DEA for this case needs few adjustments from its basic model to accommodate survey data (in limited scale number) which have 2 response categories. Result of DEA calculation could be used as basis for determining new product launching benchmark (every product with DEAscore ^ 1) to formulate the most appropriate pattern of new product launching process for MNC subsidiary.

Abstrak :
Data Envelopment Analysis (DEA) is mathematical programming techniques for evaluating relative efficiency of decision making unit (DMUs) in managing their resources (input) to produce results (output). DEA assumed that functional distribution/relations between input and output aren't known. This paper applied DEA to find the most effective operations between 44 bank's branches. DEA application in this case will identified effectiveness of branch's operations based on quantitative calculation. Application of DEA for this case needs few adjustments from its basic model to accommodate data which classified in 4 branch categories. Result of DEA calculation could be used as basis for determining operational performance benchmark (every branch's with DEA score al).

Abstrak :
This paper integrated DEA method with financial ratio "Return on Assets" (ROA) to analyze efficiency and performance of Shariah Business Unit at four Indonesian Banks in two years period, January 2004 to December 2005. The Shariah Business Unit that used as a research sample in this paper can be classified as the big of four in term of asset accumulation which commanding up to 71% of all Indonesian Shariah banking total asset The big of four are BNI Syariah (commanding 35% total asset), BRI Syariah (commanding 18% total asset), Danamon Syariah (commanding 10% total asset), and Bukopin Syariah (commanding 8% total asset). By integrating DEA with ROA as analysis tools, this paper could identify four difference performance conditions in each unit.