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• W188593826 abstract "This investigation examines the efficiency of 12 Taiwanese laptop manufacturers in 2002. This study demonstrates the feasibility of adopting Data Envelopment Analysis (DEA) to identify individual manufacturing firms that are less efficient than other ones. Efficiency is measured in terms of output variables relative to input variables. In this study, a DEA model consisting of three inputs and three outputs is applied. The input variables are Operating Expenses, Non-Operating Expenses and Operating Costs, and the output variables are Operating Revenue, Non-Operating Revenue and Assets. The results of this investigation reveal that, out of 12 laptop manufacturers, four firms were found to be relatively more efficient than the other eight. Considering the fact that Taiwanese laptop industry had increased its global market share from 31.5% to 63.5% from 1997 to 2003, it can be said that the efficiency of most of Taiwanese laptop manufacturers is above the average level in 2002. Introduction The laptop industry is an extremely competitive industry, and a firm's survival depends on its efficiency. Consequently, the continuous search for improvement in operating and production efficiency is crucial for laptop manufacturers (Chang, Lin & Kao, 2003). A well-designed framework for assessing laptop manufacturer efficiency and providing information on how to become a better managed firm seems essential for improving decision-making in poorly managed companies. One method of evaluating a company's health is by assessing its production efficiency. Taiwanese laptop manufacturers strive hard to maintain their high growth rates and positions as leaders in the industry. Michael E. Porter (2001) claimed that Taiwanese enterprises must increase industrial efficiency to secure competitive advantage. Hence, developing an effective means of measuring and comparing the efficiency of Taiwanese laptop manufacturers is essential. Increasing the production efficiency of inefficient companies will improve the average efficiency and global competitiveness of the Taiwanese laptop industry. Review of the Literature Data Envelopment Analysis (DEA) is a relatively new technique for measuring company efficiency using a frontier approach. The DEA technique supplements traditional approaches and provides more comprehensive insights into organizational performance. DEA is a powerful tool that can be utilized to analyze and improve company performance (Norton, 1994) and is being generally used generally as a tool for measuring the efficiency of various organizations (Giokas, 2002; Thore, Phillips, Ruefli & Yue, 1996). DEA thus represents a good tool for performance measurement. DEA is a linear programming model devised by Chames, Cooper and Rhodes (1978). It measures the efficiency, or productivity, for each member of a set of comparable producing units. Charnes, Cooper and Rhodes extended the approach of Farrell (1957) to establish a model that broadened the single-input and single-output ratio measurement of efficiency of a single Decision Making Unit (DMU) into a multiple-input and multiple-output setting. Their extended model measures efficiency. DEA focuses on measuring the efficiency of DMUs. Meanwhile, efficiency represents an attempt to produce a given output with minimum inputs (Norman & Stoker, 1991). In the DEA approach, no particular structure is superimposed on the research data for identifying the efficient units (Mester, 1996). Instead, a best-practice structure is empirically constructed by applying linear programming to inputs and outputs. Moreover, this feature also means that units with different configurations of inputs and outputs can be recognized as efficient in production process implementation. DEA determines the inefficiency of a particular unit by comparing it to efficient units with similar configurations. This arrangement contrasts with parametric techniques where a particular measure of inefficiency is associated with statistical averages that may or may not be applicable to the composition of that unit. …" @default.
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• W188593826 title "Use of Data Envelopment Analysis to Assess the Relative Efficiency of Laptop Computer Manufacturers: An Empirical Study" @default.
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