Improved DEA evaluation models of IRTU knowledge innovation

Lin Hua Bu; Xiao Feng Ju; Xiao Hong Wang

doi:10.1007/978-1-4614-3872-4_220

Improved DEA evaluation models of IRTU knowledge innovation

Lin Hua Bu^*
, Xiao Feng Ju
, Xiao Hong Wang

^*Corresponding author for this work

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

To address the inadequacy of traditional Data Envelopment Analysis (DEA) as it can only handle efficiency evaluation of a single point in time, this paper proposes a new efficiency evaluation model of knowledge innovation of Innovative Research Teams in University (IRTU) with DEA improved by taking into consideration the fact that IRTU knowledge innovation occurs over multiple time periods and is characterized by time sequentiality. The improved model can not only handle knowledge innovation at a single point in time, but also that at several points in time. An empirical research validates the improved model.

Original language	English
Title of host publication	Proceedings of the 2012 International Conference on Cybernetics and Informatics
Pages	1721-1728
Number of pages	8
DOIs	https://doi.org/10.1007/978-1-4614-3872-4_220
State	Published - 2013
Event	2012 International Conference on Cybernetics and Informatics, ICCI 2012 - Chongqing, China Duration: 21 Sep 2012 → 23 Sep 2012

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	163 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	2012 International Conference on Cybernetics and Informatics, ICCI 2012
Country/Territory	China
City	Chongqing
Period	21/09/12 → 23/09/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

DEA model
IRTU
Impetus system
Knowledge innovation

Access to Document

10.1007/978-1-4614-3872-4_220

Cite this

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title = "Improved DEA evaluation models of IRTU knowledge innovation",

abstract = "To address the inadequacy of traditional Data Envelopment Analysis (DEA) as it can only handle efficiency evaluation of a single point in time, this paper proposes a new efficiency evaluation model of knowledge innovation of Innovative Research Teams in University (IRTU) with DEA improved by taking into consideration the fact that IRTU knowledge innovation occurs over multiple time periods and is characterized by time sequentiality. The improved model can not only handle knowledge innovation at a single point in time, but also that at several points in time. An empirical research validates the improved model.",

keywords = "DEA model, IRTU, Impetus system, Knowledge innovation",

author = "Bu, \{Lin Hua\} and Ju, \{Xiao Feng\} and Wang, \{Xiao Hong\}",

year = "2013",

doi = "10.1007/978-1-4614-3872-4\_220",

language = "英语",

isbn = "9781461438717",

series = "Lecture Notes in Electrical Engineering",

pages = "1721--1728",

booktitle = "Proceedings of the 2012 International Conference on Cybernetics and Informatics",

note = "2012 International Conference on Cybernetics and Informatics, ICCI 2012 ; Conference date: 21-09-2012 Through 23-09-2012",

}

Bu, LH, Ju, XF & Wang, XH 2013, Improved DEA evaluation models of IRTU knowledge innovation. in Proceedings of the 2012 International Conference on Cybernetics and Informatics. Lecture Notes in Electrical Engineering, vol. 163 LNEE, pp. 1721-1728, 2012 International Conference on Cybernetics and Informatics, ICCI 2012, Chongqing, China, 21/09/12. https://doi.org/10.1007/978-1-4614-3872-4_220

Improved DEA evaluation models of IRTU knowledge innovation. / Bu, Lin Hua; Ju, Xiao Feng; Wang, Xiao Hong.
Proceedings of the 2012 International Conference on Cybernetics and Informatics. 2013. p. 1721-1728 (Lecture Notes in Electrical Engineering; Vol. 163 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Improved DEA evaluation models of IRTU knowledge innovation

AU - Bu, Lin Hua

AU - Ju, Xiao Feng

AU - Wang, Xiao Hong

PY - 2013

Y1 - 2013

N2 - To address the inadequacy of traditional Data Envelopment Analysis (DEA) as it can only handle efficiency evaluation of a single point in time, this paper proposes a new efficiency evaluation model of knowledge innovation of Innovative Research Teams in University (IRTU) with DEA improved by taking into consideration the fact that IRTU knowledge innovation occurs over multiple time periods and is characterized by time sequentiality. The improved model can not only handle knowledge innovation at a single point in time, but also that at several points in time. An empirical research validates the improved model.

AB - To address the inadequacy of traditional Data Envelopment Analysis (DEA) as it can only handle efficiency evaluation of a single point in time, this paper proposes a new efficiency evaluation model of knowledge innovation of Innovative Research Teams in University (IRTU) with DEA improved by taking into consideration the fact that IRTU knowledge innovation occurs over multiple time periods and is characterized by time sequentiality. The improved model can not only handle knowledge innovation at a single point in time, but also that at several points in time. An empirical research validates the improved model.

KW - DEA model

KW - IRTU

KW - Impetus system

KW - Knowledge innovation

UR - https://www.scopus.com/pages/publications/84880877318

U2 - 10.1007/978-1-4614-3872-4_220

DO - 10.1007/978-1-4614-3872-4_220

M3 - 会议稿件

AN - SCOPUS:84880877318

SN - 9781461438717

T3 - Lecture Notes in Electrical Engineering

SP - 1721

EP - 1728

BT - Proceedings of the 2012 International Conference on Cybernetics and Informatics

T2 - 2012 International Conference on Cybernetics and Informatics, ICCI 2012

Y2 - 21 September 2012 through 23 September 2012

ER -

Improved DEA evaluation models of IRTU knowledge innovation

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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