Using Data Envelopment Analysis to Measurement Patent Performance of Medical Instruments Industry

Shuenn Ren Cheng; Cheng Chung Wu; Shu Hsia Lee Wu

doi:10.4028/www.scientific.net/AMR.213.454

Paper Titles

The Effect of Heat Treatment Temperature on Property and Structure of Ni Group Core-Shell Particles ER
p.437

Application of Imprinted Functionalized Silica Gel Sorbent for Selective Removal of Cadmium (II) from Industial Wastewaters
p.441

Analysis of Influence Factors on Anti-Rutting Performance of Fiber Asphalt Mastic and Fiber Asphalt Mixture
p.445

Manufacturing Process Planning to Evaluation on Failure Causes for Lithography Machine: Analytic Hierarchy Process
p.450

Using Data Envelopment Analysis to Measurement Patent Performance of Medical Instruments Industry
p.454

Preparation of Steel Slag Adsorbent and its Removal Phenol Property
p.460

Determinition of Optimal Coiling Temperature and Cold Reduction Ratio of Adding P High Strength if Steel
p.465

Morphology of High-Pressure Crystallized Poly (Ethylene Terephthalate)/Bisphenol-A Polycarbonate Blends
p.470

GC/MS Analysis on Benzene/Alcohol Extractives of Manglietia Glauca Leavies for Biomedicine Engineering
p.475

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 213Using Data Envelopment Analysis to Measurement...

Using Data Envelopment Analysis to Measurement Patent Performance of Medical Instruments Industry

Abstract:

This study analyzes 6,626 patents related to the medical instruments industry, and develops a subsequent patent analysis and performance assessment by means of DEA analysis. From the upper or lower ranking and comparing by DEA models this study found that the mix analysis could provide the results deeply with patents performance of DMUs in medical industries and worth to debate that would be difficult to see in traditional patent analysis. Finally, important elements that influence the performance of DMUs can also be found after sensitivity analysis. This study shows that less input may promote efficient performance while output is equal, but for traditional patent that would be different status with citation rate and R&D capacity. For medical industries’ top companies, they would be more considerate the different character of each correlative variable which have impact for three above input at least for comparison with the others by average efficient score.