• IE interfaces
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• v.7 no.2
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• pp.133-144
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• 1994

The problem of productivity improvement is one of the most challenging problems facing the world economy. This paper studies an analysis of improving personal-computer(PC) company productivity through factory automation. It attempts to analyze value added productivity at the company level. The index measured will effectively help managers supervise their companys. This study justifies that the proposed approach will stimulate manager's profit-motivation by providing them with value-oriented management instead of quantity-oriented method.

• Journal of Information Management
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• v.42 no.2
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• pp.151-165
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• 2011

Patent information as the innovative index for activity of industry, science and technology reflects the inventive outcome of the nation, region, technology, or company etc.. and is able to be used as a tool evaluating the R&D product and technology diffusion. In this study, the index for analysing the productivity, innovation, and activity of the technology is provided to evaluate the technology in fields of the pharmaceutic, transport, biotechnology, textile, construction, machine parts, information media, and electric/telecommunication, which are becoming the national core technology. As a result of analysis, the technology activity in fields of the construction, pharmaceutic, and biotechnology shows a growing trend which reflect the interest in the quality and the extension of the life, but vice versa in fields of the textile, and information media. The innovation index in fields of the construction, pharmaceutic, and biotechnology index more than average, but vice versa in fields of the information media and electric/telecommunication. In case of technology productivity, more than 2 patentees are included in one patented technology. It has been determined that the technology productivity is decreased because of an increasing number of researcher participating the technology development, which is the recent trend of technology advancement.

• Asian Journal of Innovation and Policy
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• v.6 no.1
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• pp.85-93
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• 2017

This paper focuses on the relationship between the characteristics of network and the productivity of scientists, which is rarely examined in previous studies. Utilizing a unique dataset from the Korean Citation Index (KCI), we examine the overall characteristics of the research network (e.g. distribution of nodes, density and mean distance), and analyze whether the network centrality is related to the scientific productivity. According to the results, firstly we have found that the collaborative research network of the Korean academics in the field of statistics and computer science is a scale-free network. Secondly, these research networks show a disciplinary difference. The network of statisticians is denser than that of computer scientists. In addition, computer scientists are located in a fragmented network compared to statisticians. Thirdly, with regard to the relationship between the researchers' network position and scientific productivity, a significant relation and their disciplinary difference have been observed. In particular, the degree centrality is the strongest predictor for the scientists' productivity. Based on these findings, some policy implications are put forward.

• Korean Management Science Review
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• v.34 no.2
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• pp.57-66
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• 2017

The purpose of this study is to analyze the multidimensional productivity of the shipbuilding performance and to explain the role of different factors, such as man-hour, dock period, number of building block, launching process rate, automatic welding percent, and drawing fault rate which are important production-related variables in most shipbuilding companies. The shipbuilding productivity is obtained using Data Envelopment Analysis (DEA) approach. Then, a Tobit model is considered to measure the influence of different factors on the measured productivity. The results reveal that this productivity measure can substitute a representative shipbuilding productivity index (CGT/man-hour) in shipbuilding industries. Also, this multidimensional productivity analysis using DEA and Tobit reveals complex relationships between production-related variables and CGT and sale.

• Journal of Korea Port Economic Association
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• v.34 no.1
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• pp.51-64
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• 2018

The purpose of this paper is to analyze the productivity change of the Korean shipbuilding industry between 2001-2008 and 2008-2015 by using MPI(Malmquist Productivity Index) to decompose the sources of total factor productivity growth into technical efficiency change, scale efficiency change, pure efficiency change, technical change. The empirical results are as follows. In the first half of the year (2001-2008), productivity increased by 2.8%, which was due to technological advances rather than technical efficiency. In the second half (2008-2015), productivity change declined by -3.4%. This is attributable to the technical efficiency deterioration and technological degeneration caused by a decrease in shipbuilding orders due to the global economic downturn after the global financial crisis and the rise of Chinese shipbuilding industry. In the first half of the period, productivity change was higher than in the second half. Especially, the difference between the two periods is attributed to the technical change and it was proved by statistical verification. The policy implications of this paper suggest that the government and each DMU need to develop new technologies to cope with changes in the global shipbuilding industry environment and strategies to eliminate inefficiencies in order to increase productivity in the future.

• Journal of the Korean Dietetic Association
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• v.6 no.2
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• pp.136-147
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• 2000

The aim of this research was to examine the management practices related to foodservice.clinical nutrition service provided by hospital foodservice operations. A survey of 30 hospital food nutrition service departments was undertaken and detailed information was collected from each, including surveys of 176 dietitians and 30 foodservice managers. Statistical data analysis was completed using the SAS/win 6.11 package for descriptive analysis and t-test. The results of this study can be summarized as follows : Out of 30 hospitals, 73.3%(22) were directly operated and 26.7%(8) were under contract foodservice management. Licensed number of beds were 768.7, with an average length of 11.4 days. The general characteristics of the dietitians were that 49.4% were aged between 25-29, and 60.8% were ordinary dietitians. 76.7% had bachelor's degree, 15.9% with master's degree and 7.4% were college graduates. Most hospital dietitians had internship training and 35.2% took a training course of 6 to 12 months. The average space of kitchen was 452.52 $m^2$, with 133.63$m^2$ for modified diet space and 18.13$m^2$ for nutrition counselling room space. The total number of normal meals was 1,255.47, with 502.93 of modified meals. The average calorie of normal meals was 2,145.04kcal, with 91.9g of protein contained in normal meal. The total food waste was 351.40kg. An average monthly cost for disposing food waste was 745,171.67 won. 83.3% of the kitchens were on the 1st basement and only 66.7%(20) of 30 hospitals had its own nutrition counselling room. 80% used dishwashers and 66.7% had an exclusive elevator for delivering meals. 80.0% of hospitals used centralized delivery service. 90% had established an area for hygiene division, 70% used dry zone within the dishwashers for sterilization, 66.7% provided spoon and chopstick, and 100% used dish cover. As means of food waste treatment, most hospitals(56.7%) used animal feed by contracters, followed by means of collection by contracters(30%) and in-house high speed fermentation machines(13.3%). It was found that only 33.3% hospitals regularly checked temperatures of the meals given to patients. Total productivity index was 3.72(meals/hour) in average, with an average productivity index for normal diet of 5.41. Average productivity index for modified diet was 4.62. Productivity indices for patient meals and clinical nutrition were 5.01(meals/hour) and 1.12(cases/hour) respectively and hospitals under self-operated foodservice management received higher points on clinical nutrition productivity index(P<0.01) than hospitals under contract foodservice management.

• 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.

• The Korea Swine Journal
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• v.17 no.5 s.189
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• pp.133-136
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• 1995

• The Journal of the Korea Contents Association
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• v.9 no.5
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• pp.224-229
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• 2009

This study measures the relative efficiency and productivity change of the Korean Non-Life Insurance Firms using DEA model and Malmquist Index for 2004-2007. The main results of this study can by summarized as follows. First, in case of efficiency of CCR for 2004-2007, the number of efficient firms(CCR value is one) are one firm, one firm, one firm, one firm respectively. Second, in case of efficiency of BCC for 2004-2007, the number of efficient firms(BCC value is one) are five firms, five firms, six firms, six firms respectively. Third, In case of return to scale for 2004-2007, DRS are five firms, DRS are five firms, DRS are six firms, DRS are six firms respectively, Fourth, Malmquist Index representing productivity change for 2004-2007 are 0.99 in 2004-2005, 1.04 in 2005-2006, 1.06 in 2006-2007.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.93-107
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• 2014

Interests on collaborative research and academic relationship among researchers have been increased. Collaborative researchers can maximize productivity, time and cost savings, and reduce the risk of research. An empirical study on the research productivity of co-authors' network and review efficiency of the reviewer network was conducted based on co-author networks and reviewer networks in Korea Society of IT Service. This study aims to find the characteristics of the co-author and reviewer networks, and to analyze research productivity and review efficiency in order to draw some implications. The meaning of interactions among professional groups was analyzed. Research productivity index was calculated using 728 authors' papers submitted to the society. In order to verify the effects of indicators of social network analysis on research productivity and review efficiency, correlation and regression analyses were used. As a result, the indicators of network centrality did not affect the review efficiency, but affect the research productivity.