• Asian Journal of Innovation and Policy
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• v.3 no.2
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• pp.193-215
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• 2014

This study analyzes the factors on the determinants of research productivity. In addition, this study uncovers the relationships between research productivity and various explanatory variables, and between explanatory variables. As for research productivity, 3 indices were used such as the number of papers, patents, and a combination of them. The data is the 3-year average from 2010-2012 by 1,383 researchers from 6 disciplines such as physics, chemistry, biology, mechanical engineering, electricity and electronics, and chemical engineering, reported to the National Research Foundation of Korea. Personal factors such as sex, age, academic rank and location of affiliation show the group difference for productivity. In addition, most resource factors such as the number of graduate students and research funds showed the same result with personal factors. As for the determinants, master and doctoral students and government funds are the most powerful factors for research productivity, but industry funds for patent and overall productivity.

• 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.

• Journal of Korea Technology Innovation Society
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• v.11 no.3
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• pp.400-429
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• 2008

Global R&D environment is entering on more complicated aspect gradually and tends to increase sharply in a quantitative manner. Technology competition is getting higher. This study intends to raise recognition of a necessity of productivity in a rapidly-changing R&D field and to suggest alternatives for improving its research productivity. For it, the research productivity was analyzed by utilizing two processes of patent analysis and paper analysis. According to the analysis result, it can be confirmed that Korea has the low research productivity compared to advanced countries such as USA and Japan. Government-supported research institute showed the relatively low research productivity, compared to foreign research institutes. It is confirmed that the company research institute has better research productivity than the government-supported research institute. Analyzing the present situation of research productivity through such the patent and paper analysis, seems to contribute to suggest how the research must be done in order to identify the factor of hampering the competitiveness acquisition and to improve the future R&D productivity.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.58-65
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• 2011

Construction Productivity is one of the most important elements in construction management. It is used in construction process scheduling and cost management, which are significant sector in construction management. It is important to make appropriate schedule and monitor how works are done within schedule. But construction project contains uncertainty and inexactitude, modifying construction schedule is being an issue to manage construction works well. Even though prediction and monitoring of productivity can be principal activity, it is hard to predict productivity with manager's experience and a standard of estimate. A large number of factors influencing productivity, such as drawing, construction method, weather, labor, material, equipment, etc. But current calculation of productivity depends on empirical probability, not consider difference of each influencing factor. In this research, the aim is to present a productivity predicting regression model of form work, which includes effectiveness of influences factors. 5 variables existed inside form work are selected by interview and site research based on literature review of existed various productivity influencing factors. The effectiveness and correlation of productivity influencing factors are analyzed by statistical approach, and it is used to make productivity regression model. The finding of this research will improves monitoring and controlling of project schedule in construction phase.

• Journal of Technology Innovation
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• v.5 no.1
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• pp.44-66
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• 1997

This study is a critical assessment of research productivity through publication among scientists and engineers. Through the analysis of the 223 mail questionnaires collected from professors of mechanical engineering, electrical engineering, chemistry and physics, this study obtains the particular determinants of publication productivity at the science and engineering schools in Korea. The data are analyzed using correlation, ANOVA, multiple regression analysis and path analysis. The result shows that early research productivity and the number of doctoral students are very important to publish good research articles. Also the qualities of professors' Ph.D. institution and the quality of employing university are critical influencing factors to publication productivity.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2005.10a
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• pp.319-325
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• 2005

The objective of this paper is to forecast the port productivity of container terminal to response very large container ship. In general, the productivity of container terminal is evaluated by productivity of stevedoring system including container cranes, yard cranes, and yard tractors. Therefore, we analyzed the current productivity of container crane as port productivity in Pusan ports and forecast net productivity and gross productivity of container cranes to handle the containers cf very large container ship. In order to improve the productivity, we summarize alternatives of stevedoring system and operation system.

• KDI Journal of Economic Policy
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• v.38 no.2
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• pp.63-85
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• 2016

This paper examines the effects of major funding projects for graduate education in Korea, specifically the BK21 and the WCU programs, on the research productivity of professors and young researchers. We apply the standard DID method, which compares the increase in research outputs as measured by papers per year between groups before and during the project period. The DID estimates show that the effects are quite different for different fields, but they mostly indicate that the BK21 project is more effective in terms of the research productivity of the participating professors, especially those who study science and engineering areas. With regard to the productivity of graduate students, the results show that there was an increase in the research productivity of locally educated Korean doctoral degree holders after the graduate funding programs, mainly in natural science and engineering fields.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.154-157
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• 2015

Construction industry still requires a lot of laborers to perform a project despite of advance in technologies, and improving labor productivity is an important strategy for successful project management. Since repetitive construction works exhibits learning effect, understanding laborers' learning phenomenon therefore allows managers to have improved labor productivity. In this context, previous research efforts quantified individual laborer's learning effect, though numerous construction works are performed in group. In other words, previous research about labor learning assumed that sum of individual's productivity is same as group productivity. Also, managers in construction sites need understanding about group learning behavior for dealing with labor performance problem. To address these issues, the authors investigate what variables affect laborers' group level learning process and develop conceptual model as a basic tool of productivity estimation regarding group learning. Based on the result of this research, it is possible to understand forming mechanism of learning within the group level. Further, this research may contribute to maximizing laborers' productivity in construction sites.

• Journal of Distribution Science
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• v.13 no.2
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• pp.45-53
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• 2015

Purpose - This study strives to discern trends in research productivity in the Journal of Consumer Behavior. It will identify prolific authors and institutions in articles over ten years (2004-2013). Research design, data, and methodology - The Journal of Consumer Behavior was chosen and articles over ten years were analyzed. Research productivity was determined by categorizing the data into four themes: number of authors per article, author affiliated institutions, a list of prolific authors over a ten-year period, and author-affiliated countries. Results - Authors have a propensity to collaborate on a research paper, yielding a high frequency of articles with two or three authors in a single publication. In addition, author and institution productivity was highest in North America and Europe. Conclusions - The research productivity of the Journal of Consumer Behavior is unprecedented. The trends and insights from this study will allow academics in the area of consumer behavior to observe leading authors and institutions. Moreover, speculations about the leading countries and institutions, not to mention top prolific authors in consumer behavior, will be elucidated in this study.

• Knowledge Management Research
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• v.17 no.1
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• pp.49-72
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• 2016

Extant research on firm innovation productivity is limited in measuring the innovation productivity, in which they measured firm innovation productivity by using either inputs or outputs of innovation. The present study complemented the extant research by employing Data Envelopment Analysis (DEA) approach to measure firm innovation productivity. Furthermore, this paper examined the effects of firms' external knowledge search, as one of open innovation practices, on firm innovation productivity, for open innovation activities are regarded as an influencing factor on firm innovation productivity in the previous literatures. Using the data of the Korean Innovation Survey (KIS) of manufacturing industries conducted in 2008, this study developed hypotheses in which we considered not only two dimensions of external knowledge search (breadth and depth) but also two subtypes of external knowledge search (market-driven and science-driven). The results found that searching deeply and market-driven search are positively related to firm innovation productivity, but science-driven search is somewhat negatively related to firm innovation productivity. Furthermore, market-driven search can mitigate the negative effect of science-driven search on innovation productivity.