• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4177-4183
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• 2014

This study estimated and decomposed the productivity changes into technological change and efficiency change components for the photonics industry and examined ways of imporving the productive efficiency. Unlike most previous studies, this study employed a non-oriented Malmquist productivity index, which is a non-radial method and deals directly with the input surpluses and output shortfalls. The empirical results show that the productivity of the photonics industry has increased. The main reason for this is the increase in technical efficiency. In addition, there was a statistically significant difference in the productivity changes according to the firm's geographic location and participation in government support programs. These findings suggest that the government's regional strategic industry promotion policy has contributed to improvements in the productive efficiency of photonics industry. The approach presented in this study could be used as a practical reference guide to help enhance the competitiveness of the photonics industry.

• Korean Journal of Construction Engineering and Management
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• v.7 no.6
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• pp.151-164
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• 2006

Numerous efforts are currently underway to automate pavementcrack and joint sealing activities. Productivity improvements, improved safety and quality, and reduced road user costs motivate these developments. Recently, an automated pavement crack sealing machine has been developed to automate the process of sealing pavement cracks and joints in Korea. This paper mainly describes the results of the economic feasibility analysis revealed through its overall performance evaluation and field tests. Finally, it is concluded that the automated machine exceeds the performance in terms of productivity, safety, and quality required in conventional method, thus making the machine economically feasible.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.10
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• pp.6066-6075
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• 2014

The aim of this study was to analyze the productivity changes in government-funded research institutes for Economics & Humanities and Social Sciences. From Malmquist total factor productivity index analysis, the average productivity decreased 6.5% between 2006 and 2010. Further analysis showed that technical efficiency increased 4.7% annually while the technology change rate decreased 10.8% on average. Under pressure for innovation from the outside, research institutes responded to managerial efficiency improvement, which lead to increases in technical efficiency. On the other hand, for productivity improvement of government funded research institutes, they must pursue technological advances by securing an outstanding research workforce, expanding the R&D budget, and changing the R&D method. Each institute must perceive the cause of an individual institute's productivity change, and establish strategies for increasing productivity.

• Korean Journal of Construction Engineering and Management
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• v.15 no.4
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• pp.30-38
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• 2014

Achieving high productivity and constructability are very important issues in construction industry. Study on constructability have been conducted actively, and many researches referred that improving constructability can enhance cost, quality, schedule, productivity and so on. However, there are lack of quantitative analysis, since most studies have proved correlation between productivity and constructability using questionaries and by case studies. Also, researches are mostly about specific detail scope of work to improve constructability, thus it is hard to apply constructability factors on various work in construction. In this paper, will deduct general factors affecting on constructability and evaluate effects of factors affecting on each work. Furthermore this paper will verify impact of factors affecting on productivity by multi regression anlaysis using actual data sets of high-rise building construction site.

• Journal of Korea Technology Innovation Society
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• v.21 no.3
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• pp.1077-1100
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• 2018

The present study analyzed the effect of firms' external research and development (R&D) on corporate productivity, while investigating the moderating effect of firm size on the external R&D-productivity nexus. In the empirical analysis, we estimated South Korean manufacturing firms' total factor productivity (TFP) using the firm level data drawn from the Survey of Business Activities (Korea National Statistical Office) for the years 2006-2015. Thereafter, focusing on the role of external R&D and its interaction with the firm size in determining firms' TFP, the productivity function was estimated as well. To this end, we used ordinary least squares (OLS) and quantile regression to highlight the heterogeneous impacts of external R&D by companies' productivity level. Empirical results confirmed that firms' external R&D significantly enhanced corporate productivity in all manufacturing industries, from high-tech to low-tech. The moderating effect of firm size in determining the productivity effect of external R&D was not as prominent as in the case for internal R&D, which exhibited some degree of the size premium in the productivity-enhancing effect. These results suggest that regardless of the firm size, external R&D can be an important channel for corporate productivity improvement, and can be a particularly effective strategy for SMEs with relatively limited internal R&D capacities.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.04a
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• pp.385-392
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• 2004

The objective of this study is to evaluate the effectiveness of new operation system for port container terminals. We assumed that the operation system of container terminal consists of monitorig ＆ control system, operation system, planning system, and information technology, and we selected total 19 technology alternatives. Through the results of questionnaire and interview received from field expert, we established the evaluation model and analyze the productivity improvement by estimating the weight and the priority of productivity for operation system. From the developed model, we provide useful implications to introduce new technologies of operation system for domestic container terminals.

• Journal of Navigation and Port Research
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• v.29 no.1 s.97
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• pp.97-104
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• 2005

The objective of this study is to evaluate the expected effectiveness of new operation system for port container terminals. We assumed that the operation system of container terminal consists of monitoring & control system, operation system, planning system, and information technology, and we selected total 19 technology alternatives. Through the results of questionnaire and interview received from field expert, we established the evaluation model and analyzed the productivity improvement by estimating the weight and the priority of productivity for operation system From the developed model, we provide useful implications to introduce new technologies of operation system for domestic container terminals.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.5 no.4
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• pp.51-68
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• 2010

The article analyses economic effect of medium size aircraft development project. It is based on the measurement of induced production and increased productivity by the investment on the development project. The analysis shows around 5.2 trillion KRW induced production and 65 billion KRW productivity are expected, if 1.4 trillion KRW is invested as planned. The economic effects with the same size of investment across different manufacturing industries - shipbuilding, auto, general machinery and emiconductor - are also measured for comparison. The result reports ircraft anufacturing is positioned as middle in terms of induced production nd productivity nhancement. he results in this article support the investment, which has economic asibility as well as strategic and military importance as argued.

• Journal of Korea Port Economic Association
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• v.32 no.3
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• pp.1-20
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• 2016

The objective of this study was to select world top 20 major container terminals that belong to Korea and China as comparison units to analyze their efficiency and productivity trend. Super Efficiency Data Envelopment Analysis(SE-DEA) and Malmquist Productivity Index(MPI) models were applied to this study. Compared with previous studies, we narrowed down the scope of the comparison units to terminals and conducted more detailed analysis to present more meaningful implications to the actual operation. The different result from existing studies, SE-DEA analysis implied that the major terminals of Busan New Port showed similar efficiency and productivity with China's terminals. In MPI analysis, the average index of Korean and China's terminals is 1.051 and 1.049. The analysis indicates that the productivity was improved 5.1% and 4.9% annually. From 2012 to 2015, the average terminal TCI index of South Korea and China were 1.032 and 1.0318-the main factor which influences MPI. This means improving productivity mainly rely on investment in new equipment and technology upgrades rather than improve operational efficiency over the past few years. Future management decisions should consider more aggressive marketing to increase the volume and improve operational efficiency to enhance productivity. Further research should apply the overall efficiency of the methodology considering the financial diversification, terminal capacity, service levels, and other factors.

• Journal of Korea Port Economic Association
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• v.32 no.2
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• pp.91-103
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• 2016

The purpose of this study is to analyze the efficiency and productivity of domestic trucking transportation companies using DEA-CCR, BCC, and Malmquist indexes. Here, we analyze the top 14 domestic trucking transportation companies, based on cargo volume. The number of freight agents, trucks, and assets are used as input variables, and cargo volumes and sales are used as output variables. The efficiency of trucking transportation companies is examined using a DEA approach, and Malmquist indexes are applied to analyze productivity. According to the DEA results, the efficiency levels of the CCR, BCC, and scales for three companies (DMU 4, 5, and 10) are 1, indicating that these companies are operated efficiently. At the same time, the Malmquist indexes show that all companies have values smaller than 1, except for the period 2012-2013, indicating that their productivity decreased. Furthermore, the TECI indexes were all larger than 1, except for the period 2012-2013, indicating that the companies are efficient. Lastly, all TCI indexes are smaller than 1, except for the period 2012-2013, indicating regressing trends.