| Fortune500 {deaR} | R Documentation |
Data: Zhu (2014).
Description
This dataset consists of 15 firms from the Fortune 500 list 1995 (https://fortune.com/ranking/fortune500/) with 3 inputs and 2 outputs.
Usage
data("Fortune500")
Format
Data frame with 15 rows and 6 columns. Definition of inputs (X) and outputs (Y):
- x1 = Assets
Assets (millions of dollars)
- x2 = Equity
Equity (millions of dollars)
- x3 = Employees
Number of employees
- y1 = Revenue
Revenue (millions of dollars)
- y2 = Profit
Profit (millions of dollars)
Author(s)
Vicente Coll-Serrano (vicente.coll@uv.es). Quantitative Methods for Measuring Culture (MC2). Applied Economics.
Vicente Bolos (vicente.bolos@uv.es). Department of Business Mathematics
Rafael Benitez (rafael.suarez@uv.es). Department of Business Mathematics
University of Valencia (Spain)
Source
Zhu, J. (2014). Quantitative Models for Performance Evaluation and Benchmarking. Data Envelopment Analysis with Spreadsheets. 3rd Edition Springer, New York. doi:10.1007/978-3-319-06647-9
See Also
make_deadata, model_multiplier
Examples
data("Fortune500")
data_Fortune <- make_deadata(datadea = Fortune500,
dmus = 1,
inputs = 2:4,
outputs = 5:6)
result <- model_multiplier(data_Fortune,
epsilon = 1e-6,
orientation = "io",
rts = "crs")
# results for General Motors and Ford Motor are not shown
# by deaR because the solution is infeasible
efficiencies(result)
multipliers(result)