Managing service productivity using data envelopment analysis

Ali Emrouznejad; Emilyn Cabanda

doi:10.1007/978-3-662-43437-6_1

Managing service productivity using data envelopment analysis

Ali Emrouznejad^*
, Emilyn Cabanda

^*Corresponding author for this work

Operations and Service Management

Regent University

Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › peer-review

6 Citations (Scopus)

Abstract

This chapter provides the theoretical foundation and background on data envelopment analysis (DEA) method. We first introduce the basic DEA models. The balance of this chapter focuses on evidences showing DEA has been extensively applied for measuring efficiency and productivity of services including financial services (banking, insurance, securities, and fund management), professional services, health services, education services, environmental and public services, energy services, logistics, tourism, information technology, telecommunications, transport, distribution, audio-visual, media, entertainment, cultural and other business services. Finally, we provide information on the use of Performance Improvement Management Software (PIM-DEA). A free limited version of this software and downloading procedure is also included in this chapter.

Original language	English
Title of host publication	Managing service productivity
Subtitle of host publication	using frontier efficiency methodologies and multicriteria decision making for improving service performance
Editors	Ali Emrouznejad, Emilyn Cabanda
Place of Publication	Berlin (DE)
Publisher	Springer
Pages	1-17
Number of pages	17
ISBN (Electronic)	978-3-662-43437-6
ISBN (Print)	978-3-662-43436-9
DOIs	https://doi.org/10.1007/978-3-662-43437-6_1
Publication status	Published - 31 Dec 2014

Publication series

Name	International series in operations research and management science
Publisher	Springer
Volume	215
ISSN (Print)	0884-8289

Keywords

data envelopment analysis
DEA software
efficiency
managing service productivity
productivity
service industry
DEA

Access to Document

10.1007/978-3-662-43437-6_1

Cite this

Emrouznejad, A., & Cabanda, E. (2014). Managing service productivity using data envelopment analysis. In A. Emrouznejad, & E. Cabanda (Eds.), Managing service productivity: using frontier efficiency methodologies and multicriteria decision making for improving service performance (pp. 1-17). (International series in operations research and management science; Vol. 215). Springer. https://doi.org/10.1007/978-3-662-43437-6_1

Emrouznejad, Ali ; Cabanda, Emilyn. / Managing service productivity using data envelopment analysis. Managing service productivity: using frontier efficiency methodologies and multicriteria decision making for improving service performance. editor / Ali Emrouznejad ; Emilyn Cabanda. Berlin (DE) : Springer, 2014. pp. 1-17 (International series in operations research and management science).

@inbook{7f406e98561d46538b9f39ef1a417a0a,

title = "Managing service productivity using data envelopment analysis",

abstract = "This chapter provides the theoretical foundation and background on data envelopment analysis (DEA) method. We first introduce the basic DEA models. The balance of this chapter focuses on evidences showing DEA has been extensively applied for measuring efficiency and productivity of services including financial services (banking, insurance, securities, and fund management), professional services, health services, education services, environmental and public services, energy services, logistics, tourism, information technology, telecommunications, transport, distribution, audio-visual, media, entertainment, cultural and other business services. Finally, we provide information on the use of Performance Improvement Management Software (PIM-DEA). A free limited version of this software and downloading procedure is also included in this chapter.",

keywords = "data envelopment analysis, DEA software, efficiency, managing service productivity, productivity, service industry, DEA",

author = "Ali Emrouznejad and Emilyn Cabanda",

year = "2014",

month = dec,

day = "31",

doi = "10.1007/978-3-662-43437-6\_1",

language = "English",

isbn = "978-3-662-43436-9",

series = "International series in operations research and management science",

publisher = "Springer",

pages = "1--17",

editor = "Ali Emrouznejad and Emilyn Cabanda",

booktitle = "Managing service productivity",

address = "Germany",

}

Emrouznejad, A & Cabanda, E 2014, Managing service productivity using data envelopment analysis. in A Emrouznejad & E Cabanda (eds), Managing service productivity: using frontier efficiency methodologies and multicriteria decision making for improving service performance. International series in operations research and management science, vol. 215, Springer, Berlin (DE), pp. 1-17. https://doi.org/10.1007/978-3-662-43437-6_1

Managing service productivity using data envelopment analysis. / Emrouznejad, Ali; Cabanda, Emilyn.
Managing service productivity: using frontier efficiency methodologies and multicriteria decision making for improving service performance. ed. / Ali Emrouznejad; Emilyn Cabanda. Berlin (DE): Springer, 2014. p. 1-17 (International series in operations research and management science; Vol. 215).

Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Managing service productivity using data envelopment analysis

AU - Emrouznejad, Ali

AU - Cabanda, Emilyn

PY - 2014/12/31

Y1 - 2014/12/31

N2 - This chapter provides the theoretical foundation and background on data envelopment analysis (DEA) method. We first introduce the basic DEA models. The balance of this chapter focuses on evidences showing DEA has been extensively applied for measuring efficiency and productivity of services including financial services (banking, insurance, securities, and fund management), professional services, health services, education services, environmental and public services, energy services, logistics, tourism, information technology, telecommunications, transport, distribution, audio-visual, media, entertainment, cultural and other business services. Finally, we provide information on the use of Performance Improvement Management Software (PIM-DEA). A free limited version of this software and downloading procedure is also included in this chapter.

AB - This chapter provides the theoretical foundation and background on data envelopment analysis (DEA) method. We first introduce the basic DEA models. The balance of this chapter focuses on evidences showing DEA has been extensively applied for measuring efficiency and productivity of services including financial services (banking, insurance, securities, and fund management), professional services, health services, education services, environmental and public services, energy services, logistics, tourism, information technology, telecommunications, transport, distribution, audio-visual, media, entertainment, cultural and other business services. Finally, we provide information on the use of Performance Improvement Management Software (PIM-DEA). A free limited version of this software and downloading procedure is also included in this chapter.

KW - data envelopment analysis

KW - DEA software

KW - efficiency

KW - managing service productivity

KW - productivity

KW - service industry

KW - DEA

UR - http://link.springer.com/book/10.1007/978-3-662-43437-6

UR - https://www.scopus.com/pages/publications/84954521968

U2 - 10.1007/978-3-662-43437-6_1

DO - 10.1007/978-3-662-43437-6_1

M3 - Chapter (peer-reviewed)

AN - SCOPUS:84954521968

SN - 978-3-662-43436-9

T3 - International series in operations research and management science

SP - 1

EP - 17

BT - Managing service productivity

A2 - Emrouznejad, Ali

A2 - Cabanda, Emilyn

PB - Springer

CY - Berlin (DE)

ER -

Emrouznejad A, Cabanda E. Managing service productivity using data envelopment analysis. In Emrouznejad A, Cabanda E, editors, Managing service productivity: using frontier efficiency methodologies and multicriteria decision making for improving service performance. Berlin (DE): Springer. 2014. p. 1-17. (International series in operations research and management science). doi: 10.1007/978-3-662-43437-6_1

Managing service productivity using data envelopment analysis

Abstract

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

Estimating the efficiency of healthcare facilities providing HIV/AIDS treatment in Zambia: a data envelopment approach

Managing service productivity: using frontier efficiency methodologies and multicriteria decision making for improving service performance

Cite this