Fortune500: Data: Zhu (2014).

In deaR: Conventional and Fuzzy Data Envelopment Analysis

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 ([e-mail]). Quantitative Methods for Measuring Culture (MC2). Applied Economics.

Vicente Bolos ([e-mail]). Department of Business Mathematics

Rafael Benitez ([e-mail]). 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. \Sexpr[results=rd]{tools:::Rd_expr_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)

deaR documentation built on May 2, 2023, 5:13 p.m.