• Journal of Technology Innovation
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• v.11 no.1
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• pp.125-145
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• 2003

In the knowledge-based economy, the accumulation of technological knowledge is undoubtedly the core competency to reinforce the competitiveness of individual firms and to raise the innovation capability of social and economic systems. Thus far, however, only single or fragmentary indicators, such as R&D expenditure, R&D stock, the number of researchers and the number of R&D employees have been adopted to measure the amount of technological knowledge. In this research, we suggest an approach for aggregating and structuring respective indicators. Applying correlation and factor analysis, we examine the relationship among nine conventional proxy measures for technological knowledge and present a new approach for gauging an aggregated measure.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.05a
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• pp.177-180
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• 2012

Korean government has developed and implemented a five-year master plan in order to enhance construction technology competitiveness and its level of development. However, without detailed assessment of past plans it is not likely to retain feasibility and sustainability of a new five-year plan, This study analyses adequacy of the 4th five-year master plan in terms of evaluation strategies such as indicators, methods, targeted performance through benchmarking various construction policies utilized by developed countries. In addition, this manuscript provides the basis structure and critical factors for establishing future construction policies or plans.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.567-574
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• 2011

The purpose of this paper is to identify factors that influence knowledge sharing and determine the attitudes of quantity surveyors towards knowledge sharing based on the factors. The analysis was based on an online questionnaire survey of Registered Quantity Surveyors from Selangor and Kuala Lumpur. Individualism and collectivism were identified as two major factors that influence attitude towards knowledge sharing. Indicators of individualism include individual attitude, competitiveness, care, incentives and rewards; while the indicators of collectivism are trust, social behaviors and motivation. The findings show that the level of attitudes towards knowledge sharing among quantity surveyors is generally high under enabling organizational environment. However, this is a cautious conclusion as the valid sample on which the analysis is based is relatively small. Willingness to share was found to be highest when incentives and rewards are involved as well as when there is a knowledge management system to promote continuous learning and sharing of knowledge.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.12
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• pp.1868-1875
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• 2016

This paper presents the mega trends of technology and competitiveness analysis results based on patent analysis for establishing effective research and development (R&D) strategy on UAV (Unmanned Aerial Vehicle) in the aerial ICT industry. In order to analyze mega trends of UAV technologies, patent analysis is conducted focusing on published/registered patents of Korea, the U.S., Japan, and Europe. We divided the target technologies into 3 main category levels based on the converging technology of UAV and ICT. The 3,433 patents are collected. Patent indicators such as patent activity (PA), cites per patent (CPP), and major market expansion (MME) are extracted for grasping the technology competitiveness and Korea's competitiveness per sub category levels of UAV. We suggest the R&D strategy of each technology areas based on patent analysis results. We analyzed Korea's technology levels, advanced companies' R&D trends, and patent trends through patent information and expected that this paper would be utilized for establishment of R&D strategy of UAV in the future.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.6
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• pp.1695-1705
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• 2016

With the rapid development of global economic and trade, the ports in the North-east Asia region have developed greatly. In such a fierce competition, how to ascertain right evaluation methods to assess the competitiveness of the ports, and make scientific and rational development strategy for upgrading the overall level of competitiveness of ports in North-east Asia, has become the first task for all the ports for coping with the challenges. As China's sustained economic growth of more than 30 years, the economic power and comprehensive national strength has been changed, China's international status has been greatly improved. Also China has achieved remarkable new results in the construction of peripheral diplomacy, and further has consolidated the relationship of countries along the Silk Road Economic Belt. The strong position of RMB in foreign exchange market and the implementation of the strategy of "area" opening to the outside world accelerated economic belt along the silk road in China to the west open pace. On the basis of the SWOT analysis of the Lianyungang Port, combined with the comprehensive and practical port competitiveness evaluation indicators system and competitiveness evaluation method, calculate the competitiveness level of Lianyungang port in East China, and find out the problems must be solved. The development strategies for Lianyungang port under One Belt One Road were suggested.

• Journal of Korean Library and Information Science Society
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• v.38 no.4
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• pp.441-462
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• 2007

As country try expand R&D investment and enhance its efficiency to improve the national competitiveness, research is needed to conduct qualitative enhancement and derive progressive future strategy in relation to the academic information distribution project in scientific technology field. In this study, BSC-based performance indicators were applied to an institute that is the representative of domestic academic information distribution institutes in the field of scientific technology to evaluate project performance, and then to analyze portfolio of using such evaluation results. As for the items of evaluation for the performance indicators of academic information distribution project in the scientific technology field, 12 items that includes information resource quality, information service quality, user satisfaction and economically useful value of academic information from four(4) viewpoints such as information resource, information service, user and economic viewpoints. In the portfolio analysis, it was conducted by performance indicators and by elements of the individual performance indicators as well. Based on the results of performance evaluation and portfolio analysis, the improvement method by viewpoints on academic information distribution project of an institute was suggested.

• Journal of Korean Library and Information Science Society
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• v.51 no.3
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• pp.197-221
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• 2020

This study aims to compare the statistical indicators of libraries of 57 Korean universities and 116 North American universities using Rinfo and ARL statistics respectively. The authors compared twelve similar statistical indicators and found that North American academic libraries were superior in 'volumes in library', 'electronic books', 'total staff', 'total library materials expenditures', 'total items borrowed', 'total items loaned', 'library presentations to groups', and 'participants in group presentations', compared to Korean academic libraries. Although Korean academic libraries showed higher numbers in 'annual gate count', 'reference transactions', 'initial circulations', and 'full-text article requests', there exist some differences in definitions and scopes of these indicators between Rinfo and ARL, needing cautious interpretation of results. The findings of the study imply the needs of expanding support for academic libraries that play pivotal roles in increasing competitiveness of teaching and research of universities. It was also found that systematic management and improvement for statistical indicators of Rinfo are necessary.

• Journal of Distribution Science
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• v.19 no.12
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• pp.33-43
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• 2021

Purpose: This paper aims to determine features of the relationship between human development, tourism and national brand. Research design, data and methodology: ranking indicators, cluster analysis, K means method, correlation analysis. Results: The analysis covers data for 95 countries for 2019. The number of countries is justified by the availability of comparable data for calculations. A direct relationship between the indicators for the entire sample has been revealed in the result of the correlation analysis. However, this relationship has not been confirmed for the groups of countries that were formed through the cluster analysis. Spearman Rank Order and Kendall Tau Correlations have been calculated for the five obtained clusters. In two of the five clusters, the relationship between the indicators has not been found. A strong negative link between all the indicators has been detected in the cluster with average index values. A strong positive link between TTCI and BSI has been revealed in the group of countries with the best index values. A strong positive link between TTCI and HDI has been found in the group of countries with the worst index values. Conclusions: The analysis demonstrates that there is a relationship between BSI, TTCI and HDI, and while this link is observed for the sample as a whole, it is not homogeneous for groups of countries.

• Journal of Practical Engineering Education
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• v.16 no.3_spc
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• pp.309-325
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• 2024

The purpose of this study was to develop self-evaluation criteria for objective verification and performance analysis of LINC 3.0. To achieve this goal, evaluation indicators in the fields of human resources development and skill development and commercialization were developed and their validity was verified. We investigated previous evaluation-related studies and similar cases to construct an evaluation model and system and develop indicators. The validity of the developed evaluation indicators was secured through two round Delphi surveys. As a result of the research, LINC 3.0 evaluation indicators can be divided into the field of human resources development and skill development and commercialization. A total of 66 evaluation indicators were developed. CIPP in the field of human resources development was developed with 13 categories and 38 evaluation indicators, and CIPP in the field of skill development and commercialization was developed with 12 categories and 28 evaluation indicators. The significance of this study is that it suggests a way to increase the objective verification and validity of the university industry-academia cooperation model by developing self-evaluation indicators for the LINC 3.0 project. The evaluation indicators developed in the research need to be continuously upgraded based on field usability, and it is necessary to improve the quality and competitiveness of university education by sharing and spreading excellent affairs.

• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.121-142
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• 2007

The purpose of this study is to construct the evaluation model for the major science research facilities and equipments to enhance the competitiveness of the science and technology and also to test the reliability and validity of the model. To achieve the purposes, this study theoretically reviews the concept of the major science research facilities and equipments and their characteristics. Through a review of literature, this study draws 11 criteria for evaluating the priorities of the major science research facilities and equipments. These criteria are categorized as two dimensions - 'science & technology' and 'national policy'. The dimension of science & technology includes scientific importance, technological readiness, utilization rate, common utilization rate, and ability of management and operation. The national policy dimension contains degree of correspondence with national science development, imperativeness of national policy, science and technical effectiveness, economic and industrial effectiveness, responsiveness of research demand, and equity among the related institutions. The competitiveness of the science and technology consists of these two dimensions. The evaluation model is established on the framework of criteria. The 18 major science research facilities and equipments are selected through a series of Delphi. The survey of experts (BT, ET, IT, NT and ST) is also implemented to evaluate the 18 major science research facilities and equipments by 11 criteria. The overall results indicate that the reliability and validity of the model are good. The reliability tests show that the five indicators of science & technology and the six indicators of national policy have high internal consistencies. The confirmatory factor analyses reveal that the two constructs - 'science & technology' and 'national policy' - have high convergent and discriminant validity. The correlational analyses also show that the criteria-related validity between them is high. Furthermore, the results of higher order factor analysis indicate that the fit indices of the model are high and suggest a good fit to the data. Based on these findings, the policy implications of the model are discussed.