2015
DOI: 10.3390/su7055120
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Labor Union Effects on Innovation and Commercialization Productivity: An Integrated Propensity Score Matching and Two-Stage Data Envelopment Analysis

Abstract: Abstract:Research and development (R&D) is a critical factor in sustaining a firm's competitive advantage. Accurate measurement of R&D productivity and investigation of its influencing factors are of value for R&D productivity improvements. This study is divided into two sections. The first section outlines the innovation and commercialization stages of firm-level R&D activities. This section analyzes the productivity of each stage using a propensity score matching (PSM) and two-stage data envelopment analysis… Show more

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Cited by 24 publications
(15 citation statements)
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“…Although different variations of network DEA models have been proposed ( Kao, 2014 ), the vast majority of studies considers two-stages. Regarding innovation and R&D efficiency, two-stage DEA models have been discussed by Cai and Hanley (2012), Cullmann et al (2011), Lv (2011), Wu, Zhou, and Liang (2010 and Chun, Woo, Seo, and Ko (2015) . Other approaches focus on the dynamic efficiency evaluation of innovation systems ( Kou, Chen, Wang, & Shao, 2016 ) or the characteristics of networkbased innovation systems ( Choi, Sang-Hyun, & Cha, 2013;Garcia & Chavez, 2014 ).…”
Section: Multistage Evaluation Of National Innovation Systemsmentioning
confidence: 99%
“…Although different variations of network DEA models have been proposed ( Kao, 2014 ), the vast majority of studies considers two-stages. Regarding innovation and R&D efficiency, two-stage DEA models have been discussed by Cai and Hanley (2012), Cullmann et al (2011), Lv (2011), Wu, Zhou, and Liang (2010 and Chun, Woo, Seo, and Ko (2015) . Other approaches focus on the dynamic efficiency evaluation of innovation systems ( Kou, Chen, Wang, & Shao, 2016 ) or the characteristics of networkbased innovation systems ( Choi, Sang-Hyun, & Cha, 2013;Garcia & Chavez, 2014 ).…”
Section: Multistage Evaluation Of National Innovation Systemsmentioning
confidence: 99%
“…A survey method may be subject to some issues about the reliability of responses because it collects the data based on self-reports, which may lead to response biases such as self-enhancement bias. While KIS 2014 survey is systematically conducted by an authoritative and reliable research institute with supports of Korean government and used as a reliable data source by prior innovation studies [56][57][58][59], the use of the data collected through survey may be pointed out as a potential limitation of our study. In future studies, a more objective measure of sustainable innovation outcomes is recommended, if available, to rule out such restrictions (e.g., the actual decrease of energy-related costs in monetary unit).…”
Section: Methodological Considerationsmentioning
confidence: 94%
“…As the data collected through the CIS is used as an official data source for the European Union (EU) to formulate the policies for companies' innovative activities, the KIS data is also utilized by the Korean government as a credible data source to develop the innovation-related policies for companies. Owing to such reliable features, a growing number of recent innovation-related studies have used the KIS data as a main empirical data source [9,[35][36][37][38].…”
Section: Datamentioning
confidence: 99%