PRODUCTIVITY IN THE US CONSUMER DRUG STORE BUSINESS

Kenneth Lawrence; Stephan P. Kudyba; Sheila M. Lawrence; Dinesh R. Pai

doi:10.1108/S0276-897620200000020011

PRODUCTIVITY IN THE US CONSUMER DRUG STORE BUSINESS

Kenneth Lawrence, Stephan P. Kudyba, Sheila M. Lawrence, Dinesh R. Pai

MT School of Management

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

This chapter develops a productivity analysis of the US consumer drug store business using data envelopment analysis. This study concerns itself with five major US consumer drug chains. The output variables used are profit, total revenue, and prescription revenues. The input variables are number of pharmacists, number of drug store assets, and capital equity.

Original language	English (US)
Pages (from-to)	157-161
Number of pages	5
Journal	Applications of Management Science
Volume	20
DOIs	https://doi.org/10.1108/S0276-897620200000020011
State	Published - 2020

All Science Journal Classification (ASJC) codes

General Business, Management and Accounting

Keywords

DEA linear programming model
Data envelopment analysis
consumer drug store chains
decision-making unit
efficiency
productivity

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10.1108/S0276-897620200000020011

Cite this

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title = "PRODUCTIVITY IN THE US CONSUMER DRUG STORE BUSINESS",

abstract = "This chapter develops a productivity analysis of the US consumer drug store business using data envelopment analysis. This study concerns itself with five major US consumer drug chains. The output variables used are profit, total revenue, and prescription revenues. The input variables are number of pharmacists, number of drug store assets, and capital equity.",

keywords = "DEA linear programming model, Data envelopment analysis, consumer drug store chains, decision-making unit, efficiency, productivity",

author = "Kenneth Lawrence and Kudyba, {Stephan P.} and Lawrence, {Sheila M.} and Pai, {Dinesh R.}",

note = "Publisher Copyright: {\textcopyright} 2020 Emerald Publishing Limited All rights of reproduction in any form reserved.",

year = "2020",

doi = "10.1108/S0276-897620200000020011",

language = "English (US)",

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AU - Lawrence, Kenneth

AU - Kudyba, Stephan P.

AU - Lawrence, Sheila M.

AU - Pai, Dinesh R.

PY - 2020

Y1 - 2020

N2 - This chapter develops a productivity analysis of the US consumer drug store business using data envelopment analysis. This study concerns itself with five major US consumer drug chains. The output variables used are profit, total revenue, and prescription revenues. The input variables are number of pharmacists, number of drug store assets, and capital equity.

AB - This chapter develops a productivity analysis of the US consumer drug store business using data envelopment analysis. This study concerns itself with five major US consumer drug chains. The output variables used are profit, total revenue, and prescription revenues. The input variables are number of pharmacists, number of drug store assets, and capital equity.

KW - DEA linear programming model

KW - Data envelopment analysis

KW - consumer drug store chains

KW - decision-making unit

KW - efficiency

KW - productivity

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M3 - Article

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SP - 157

EP - 161

JO - Applications of Management Science

JF - Applications of Management Science

ER -

PRODUCTIVITY IN THE US CONSUMER DRUG STORE BUSINESS

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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