Exploring data envelopment analysis for measuring collaborated innovation efficiency of small and medium-sized enterprises in Korea

DOI10.1016/j.ejor.2018.08.044zbMath1430.90411OpenAlexW2888917222MaRDI QIDQ1999388

Gyunghyun Choi, Jiyoung Lee, Chulyeon Kim

Publication date: 26 June 2019

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2018.08.044

zbMATH Keywords

DEAcluster analysiscollaboration efficiencyglobal Malmquist productivity analysisinnovation efficiency

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08) Case-oriented studies in operations research (90B90)

Related Items (4)

Efficiency evaluation of a two-stage production process with feedback: an improved DEA model ⋮ Performance evaluation of the Chinese high-tech industry: a two-stage DEA approach with feedback and shared resource ⋮ Average lexicographic efficiency decomposition in two-stage data envelopment analysis: an application to China's regional high-tech innovation systems ⋮ The influence of leadership and smart level on the strategy choice of the smart logistics platform: a perspective of collaborative innovation participation

Cites Work

• Measuring the efficiency of decision making units
• A comparative study of the \(K\)-means algorithm and the normal mixture model for clustering: bivariate homoscedastic case
• A new clustering approach using data envelopment analysis
• Influential DMUs and outlier detection in data envelopment analysis with an application to health care
• A study of the relationship between competitiveness and technological innovation capability based on DEA models
• The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity
• Index numbers and indifference surfaces

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