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Featured researches published by Dongphil Chun.


Technology Analysis & Strategic Management | 2015

Impact of firm size and industry type on R&D efficiency throughout innovation and commercialisation stages: evidence from Korean manufacturing firms

Dongphil Chun; Yanghon Chung; Sungsig Bang

Technological innovation through R&D is a critical element in enhancing and fostering firm performance. In particular, measurement of R&D efficiency throughout the innovation and commercialisation stages is important. However, almost of R&D efficiency-related studies assumed that R&D is a single stage. This study aims at analysing relative efficiency scores throughout the stages of the R&D process using a two-stage data envelopment analysis (DEA) model with a sample of 1039 Korean manufacturing firms. Based on our preliminary results, this study was extended by comparing subsample groups categorised by firm size and industry type. The key findings include: (1) firms show imbalanced R&D efficiency throughout the two stages and (2) R&D efficiency is different by firm size and industry type. The empirical results and findings may assist policy- and decision-makers to enhance R&D efficiency at the firm level. Moreover, introduction of the two-stage DEA model and comparative analysis methods to firm-level data contributes to scholars.


Management Decision | 2015

Value capture mechanism: R & D productivity comparison of SMEs

Hangyeol Seo; Yanghon Chung; Dongphil Chun; Chungwon Woo

Purpose – The purpose of this paper is to examine which value capture strategies are efficient in the invention stage and commercialization stage for small and medium enterprises (SMEs). Design/methodology/approach – According to the characteristic of four primary value capture strategies, the authors categorized the formal-oriented strategy (patent), informal-oriented strategies (secrecy, lead-time), mix strategies (both formal and informal strategies), and whether to invest in complementary assets. In order to assess R & D productivity based on value capture strategy, this paper applied the two-stage data envelopment analysis for data collected from Korea Innovation Survey 2010. The sample was made up of 640 SMEs in manufacturing industry. Findings – The results suggest that informal strategy (secrecy, lead-time) is efficient in the invention stage. Furthermore, mixed use of formal (patent) and informal strategies results in higher productivity in the commercialization stage. Lastly, the results suggest...


Science and Technology of Nuclear Installations | 2016

Cost Estimation and Efficiency Analysis of Korean CANDU Spent Fuel Disposal Alternatives in Consideration of Future Price Volatility

Sungsig Bang; Yanghon Chung; Dongphil Chun; Chulhong Kwon; Sungjun Hong

In Korea, spent fuel is temporarily stored in spent fuel pools at nuclear reactor sites and it is predicted to become saturated between 2020 and 2024. For this reason, four disposal alternatives (KRS-1, A-KRS-1, A-KRS-21, and A-KRS-22) have been developed in order to carry out the direct disposal of the CANDU spent fuel. The objective of this study is to conduct cost efficiency analysis of the disposal alternatives in consideration of price volatility for the radioactive waste repository. To derive future price volatility, this study used the ARIMA model. As a result, A-KRS-1 is the most efficient in terms of price per bundle using 2015 price. As for the results using ARIMA model, except in the case of KRS-1, the cost per bundle of A-KRS-1, A-KRS-21, and A-KRS-22 is decreased. Cost estimation using ARIMA model shows little change or decreases in cost while cost estimation using inflation rates for 2020 resulted in approximately 7.2% increases compared to 2015 for all options. As for the results of scenario analysis, A-KRS-1 earned 8,160 points, while A-KRS-22 followed closely behind with 7,980 points among the total 24,300 points. The results of this study provide invaluable policy data for any nation considering the construction of spent nuclear fuel repository.


Renewable & Sustainable Energy Reviews | 2015

The static and dynamic environmental efficiency of renewable energy: A Malmquist index analysis of OECD countries

Chungwon Woo; Yanghon Chung; Dongphil Chun; Hangyeol Seo; Sungjun Hong


Renewable & Sustainable Energy Reviews | 2016

Analysis on the level of contribution to the national greenhouse gas reduction target in Korean transportation sector using LEAP model

Sungjun Hong; Yanghon Chung; Jongwook Kim; Dongphil Chun


Business Strategy and The Environment | 2014

Impact of Green Innovation on Labor Productivity and its Determinants: an Analysis of the Korean Manufacturing Industry

Chungwon Woo; Yanghon Chung; Dongphil Chun; Seung Hun Han; Dukhee Lee


International Journal of Hydrogen Energy | 2014

The role of hydrogen energy development in the Korean economy: An input–output analysis

Dongphil Chun; Chungwon Woo; Hangyeol Seo; Yanghon Chung; Sungjun Hong; Jong-Wook Kim


Sustainability | 2014

Exploring the Impact of Complementary Assets on the Environmental Performance in Manufacturing SMEs

Chungwon Woo; Yanghon Chung; Dongphil Chun; Hangyeol Seo


Renewable & Sustainable Energy Reviews | 2016

Influencing factors on hydrogen energy R&D projects: An ex-post performance evaluation

Dongphil Chun; Sungjun Hong; Yanghon Chung; Chungwon Woo; Hangyeol Seo


Sustainability | 2015

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

Dongphil Chun; Yanghon Chung; Chungwon Woo; Hangyeol Seo; Hyesoo Ko

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