Matches in SemOpenAlex for { <https://semopenalex.org/work/W2080005528> ?p ?o ?g. }
- W2080005528 endingPage "328" @default.
- W2080005528 startingPage "309" @default.
- W2080005528 abstract "Measurement of efficiency of any organisation (e.g., hospital, bank, etc.) that uses multiple inputs and generates multiple outputs is complex and comparisons across units are difficult. Charnes and Cooper (1985) describe a non-parametric approach in such situations to measure efficiency and the technique is known as data envelopment analysis (DEA). This analysis method is basically a linear pro gramming-based technique used for measuring the relative performance of organisational units where the presence of multiple inputs and outputs makes comparisons difficult. It involves identification of units, which in relative sense use the inputs for the given outputs in the most optimal manner; DEA uses this information to construct efficiency frontiers over the data of available organisa tion units. This efficient frontier is used to calculate the efficiencies of the other organisation units that do not fall on the efficient frontier and provide informa tion on which units are not using inputs efficiently. The objective of this article is to introduce the technique and demonstrate it through an example to show how relative efficiencies can be determined and identify units that are relatively less efficient." @default.
- W2080005528 created "2016-06-24" @default.
- W2080005528 creator A5006765141 @default.
- W2080005528 creator A5037677422 @default.
- W2080005528 creator A5088516537 @default.
- W2080005528 date "2001-10-01" @default.
- W2080005528 modified "2023-09-26" @default.
- W2080005528 title "Data Envelopment Analysis (DEA)" @default.
- W2080005528 cites W1486925192 @default.
- W2080005528 cites W1572425137 @default.
- W2080005528 cites W1604501700 @default.
- W2080005528 cites W1963732466 @default.
- W2080005528 cites W1965388107 @default.
- W2080005528 cites W1966055145 @default.
- W2080005528 cites W1967711861 @default.
- W2080005528 cites W1970805890 @default.
- W2080005528 cites W1978157038 @default.
- W2080005528 cites W1978994103 @default.
- W2080005528 cites W1980707780 @default.
- W2080005528 cites W1983449607 @default.
- W2080005528 cites W1984867894 @default.
- W2080005528 cites W1990832478 @default.
- W2080005528 cites W1993481697 @default.
- W2080005528 cites W1995513776 @default.
- W2080005528 cites W1999534493 @default.
- W2080005528 cites W2002726899 @default.
- W2080005528 cites W2007918020 @default.
- W2080005528 cites W2010231465 @default.
- W2080005528 cites W2012350626 @default.
- W2080005528 cites W2018271951 @default.
- W2080005528 cites W2021244927 @default.
- W2080005528 cites W2021951270 @default.
- W2080005528 cites W2022966152 @default.
- W2080005528 cites W2029060763 @default.
- W2080005528 cites W2030192398 @default.
- W2080005528 cites W2030270430 @default.
- W2080005528 cites W2038292519 @default.
- W2080005528 cites W2040811741 @default.
- W2080005528 cites W2040905731 @default.
- W2080005528 cites W2043513935 @default.
- W2080005528 cites W2045071399 @default.
- W2080005528 cites W2047068493 @default.
- W2080005528 cites W2052205804 @default.
- W2080005528 cites W2053747204 @default.
- W2080005528 cites W2054059100 @default.
- W2080005528 cites W2054371413 @default.
- W2080005528 cites W2054644951 @default.
- W2080005528 cites W2059651868 @default.
- W2080005528 cites W2064351572 @default.
- W2080005528 cites W2066526628 @default.
- W2080005528 cites W2069633360 @default.
- W2080005528 cites W2076452041 @default.
- W2080005528 cites W2077352498 @default.
- W2080005528 cites W2077571482 @default.
- W2080005528 cites W2078838764 @default.
- W2080005528 cites W2081213300 @default.
- W2080005528 cites W2081364993 @default.
- W2080005528 cites W2081541758 @default.
- W2080005528 cites W2082069307 @default.
- W2080005528 cites W2091058404 @default.
- W2080005528 cites W2091128610 @default.
- W2080005528 cites W2092091306 @default.
- W2080005528 cites W2092323776 @default.
- W2080005528 cites W2093641123 @default.
- W2080005528 cites W2100494269 @default.
- W2080005528 cites W2106606536 @default.
- W2080005528 cites W2110250287 @default.
- W2080005528 cites W2114843731 @default.
- W2080005528 cites W2124370456 @default.
- W2080005528 cites W2127834332 @default.
- W2080005528 cites W2129200731 @default.
- W2080005528 cites W2129763896 @default.
- W2080005528 cites W2142947888 @default.
- W2080005528 cites W2143936328 @default.
- W2080005528 cites W2147998069 @default.
- W2080005528 cites W2155709581 @default.
- W2080005528 cites W2160632277 @default.
- W2080005528 cites W2290257782 @default.
- W2080005528 cites W2313578648 @default.
- W2080005528 cites W2330651210 @default.
- W2080005528 cites W2332822298 @default.
- W2080005528 cites W304332650 @default.
- W2080005528 cites W3122310260 @default.
- W2080005528 cites W4233129404 @default.
- W2080005528 cites W4243977659 @default.
- W2080005528 cites W4249642514 @default.
- W2080005528 cites W4251993453 @default.
- W2080005528 cites W4254067924 @default.
- W2080005528 cites W4362227108 @default.
- W2080005528 doi "https://doi.org/10.1177/097206340100300207" @default.
- W2080005528 hasPublicationYear "2001" @default.
- W2080005528 type Work @default.
- W2080005528 sameAs 2080005528 @default.
- W2080005528 citedByCount "74" @default.
- W2080005528 countsByYear W20800055282012 @default.
- W2080005528 countsByYear W20800055282013 @default.
- W2080005528 countsByYear W20800055282014 @default.
- W2080005528 countsByYear W20800055282015 @default.