• Journal of Korea Technology Innovation Society
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• v.10 no.3
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• pp.383-405
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• 2007

In this paper we estimate knowledge production function for 15 South Korean industry sectors using panel data. To accommodate the influence of inter-sectoral interactions on the creation of knowledge, we estimate parameters for related knowledge production functions using the Dynamic Seemingly Unrelated Regression(DSUR) model proposed by Mark et al. (2005). We find the elasticity of knowledge production with respect to the size of research staff to be 0.25 and that with respect to the existing stock of knowledge to be 0.35. The fact that the elasticity of new knowledge creation with regard to the existing knowledge stock is below 1 in South Korea corroborates the view that the rate of long-term growth of her economy is chiefly determined by the elasticity related to production functions of goods and services and the rate of population growth, and that her government policy, to ensure a continued growth for the Korean economy, must shift the focus of R&D policies from the current direct intervention-centered model to one consisting of indirect measures, namely supporting knowledge management and diffusion and the creation of a knowledge sharing system. In terms of R&D policy implications it could be consider that the national knowledge production system should strengthen the cumulative process of knowledge accumulation and population for research and development. Our country R&D policy, also, need to adopt a global approach to increase knowledge stock at the highest levels of a country.

• Korea Trade Review
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• v.42 no.2
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• pp.277-296
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• 2017

More than 95% of imports and exports in the World are being transported by vessels. In other words, marine transportation accounts for a large portion of share in the world trade. The purpose of this study is to analyze factors of seaborne trade volume according to items affecting on the world economy. This study conducted a linear regression analysis between seaborne trade volume and the world economy (world GDP) to estimate the correlation between them. Panel data analysis and random effects model analysis have been applied to examine the effect of seaborne trade volume. For this study, the seaborne trade volume is categorized into 10 items, and estimated how much global GDP will be affected when the trade volume changes. In addition, the granger causality test was conducted to verify the relationship between seaborne trade volume and the world GDP. As a result, seaborne trade volume and the world GDP were mutually influenced each other. However, seaborne trade volume affects the world economy more significantly. The items affecting world economic growth include petroleum products, crude oil, chemical products, and so on. The estimated value of the coefficients of petroleum products, crude oil and chemical products were 1.014, 1.013 and 1.010, respectively. The estimated value 1.014 of petroleum products means that the growth rate is 1.014 times higher than the current world GDP growth rate when the seaborne trade volume of petroleum products increased by one unit Lastly, this study examines the seaborne trade volume of 10 categories and then verifies whether the growth rate of world GDP will increase when the volume of seaborne trade increased. This study is expected to provide policy-makers with useful information about formulating policies related to international trade.

• IE interfaces
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• v.24 no.2
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• pp.139-150
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• 2011

The EPCglobal Network is a computer network used to share product data among trading partners. It provides the supply chain with improved visibility and traceability by using Electronic Product Code (EPC), which is stored on an RFID tag. Although this network model is widely accepted as a global standard and the growth of EPCglobal-subscriber base is considerable, the EPC technology adoption process is still in its infancy. This is because some of the critical issues on this model still remain to be verified such as scalability, data management, security, privacy and the economic value of data sharing. In this paper, we focus on scalability issue among the challenges to overcome and we regard performance of the EPCglobal Network only as a track and trace query-processing cost in the network. We developed performance models consisting of three elements of the EPCglobal Network : Discovery Services (DS), EPC Information Services (EPCIS), Object Naming Services (ONS). Then we abstracted out the track and trace query execution model to evaluate performance of the overall EPCglobal Network. Finally using the proposed models, we carried out simulation analysis based on an RFID-based inbound logistics process of automobile parts. This work is an important step towards the EPC technology diffusion and provides guidelines for businesses looking to buy or build the EPCglobal Network-based systems.

• Information Systems Review
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• v.13 no.1
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• pp.115-141
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• 2011

One consequence of the new economic imperative of developing an environment-friendly and sustainable economy has been the growing importance of green management as a corporate management strategy. In Korea, the government has put forth a green growth vision, and followed suit with policy measures reflecting this vision. Companies, in their turn, have announced various new management plans reflecting this green vision. But, thus far, no tangible progress has been made. This is mainly due to the lack of concreteness, both in the government's policy and green management plans by companies. The government's green IT vision, for instance, was formulated without an accurate assessment of the current level of maturity in terms of green IT in Korea. This study presents a model for assessing the level of green IT maturity, developed by taking into consideration the informatization and regulatory environments of Korean firms. We use this model to evaluate a sample of Korean firms selected as representatives of their respective industry sectors to assess the overall level of green IT maturity among Korean companies. Improvement strategies, based on the results of assessment, are presented as well.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.24 no.69
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• pp.23-35
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• 2001

This paper attempts to identify the relationship between the business model and its financial performance through the construct of business paradigm, fit which may be defined as the congruence between the customer needs (the demand side) and the firm competence( supply side) to meet them, Each business model\`s business paradigm fit reflects how well the technology that business model has taken is interconnected with market. Basically, the business paradigm fit consists of two parts, product fit dealing with the product(s) to meet the customer needs well and process fit focusing on producing and/or providing that product(s) at the lowest costs. For empirical tasting the business paradigm fit matrix and the measures for them were developed and the data about 73 companies as sample were collects with questionnaires. The findings are: First business paradigm fit can be used as a strong empirical indicator for the firm performance, Second. balance fit in product or process gives to the most desirable outcomes and no fit brings about the worst ones. Third the over fit(the case of doing more excessive innovative efforts than to be needed) shows much better outcomes than the under fit(the case of doing less innovative efforts) Fourth, this paper shows where, in what situation, and what type of innovation has to be taken for firm success at firm level, whereas Schumpeter(1934) already indicated the importance of innovation for economic growth at the economy /industry level. However, further study should be done later with more refined measures and expanded sample data.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.4
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• pp.13-24
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• 2017

This paper presents a sequentially combined method of determining location conditions, the number of unmanned parcel service box and their optimal locations. First of all, block, accessibility and main public facilities are considered as location conditions and then set-covering model and p-median model are adopted for deciding the number of unmanned parcel service box and optimal locations, respectively. A case study for a region composed of small housings and multiplex housings in Ansan is conducted to prove the validation and application of the proposed method. The result indicates that 2 unmanned parcel service boxes are necessary in specific public places. The research contributes to resonable choice of unmanned parcel service boxes, crime reduction relevant to delivery man impersonation and economic benefit due to parcel service industry growth.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.3
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• pp.627-637
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• 2015

As game item trading becomes more popular with the rapid growth of online game market, the market for trading game items by cash has increased up to KRW 1.6 trillion. Thanks to this active market, it has been easy to turn these items and game money into real money. As a result, some malicious users have often attempted to steal other players' rare and valuable game items by using their account. Therefore, this study proposes a detection model through analysis on these account thieves' behavior in the Massive Multiuser Online Role Playing Game(MMORPG). In case of online game identity theft, the thieves engage in economic activities only with a goal of stealing game items and game money. In this pattern are found particular sequences such as item production, item sales and acquisition of game money. Based on this pattern, this study proposes a detection model. This detection model-based classification revealed 86 percent of accuracy. In addition, trading patterns when online game identity was stolen were analyzed in this study.

• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.275-285
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• 2008

The "logistics industry" is recommended as an economic growth power in the future in Korea. In the past, Korea has handled China's freight volume overflow as a transfer hub. However, recently China has been constructing its own port facilities and many mega fleets have been moving to China's ports. As a result, the position of Korea's hub-ports facing a crisis. Now, new strategies are necessary for renovating Korea's logistics industry and international competitiveness. This study proposes a "value-added logistics cluster" as a new strategy. In particular, this study proposes a Korean value-added logistics cluster that maximizes Korea's locational and industrial advantages. Additionally, a model for a value-added logistics cluster is proposed for the rehabilitation of Korea's ports as logistics hubs in Northeast Asia. Many analyses are executed step-by-step to develop a Korean value-added logistics cluster model, such as an analysis of the relationship between the logistics industry and other industries for the definition of cluster components. Lastly, the Korean value-added logistics cluster model is applied to Kwangyang port, which is currently confronted with a crisis because of the decrease of freight volume.

• Design & Manufacturing
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• v.16 no.1
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• pp.36-42
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• 2022

Globally, as population growth and economic development continue, resource consumption is increasing rapidly. As an alternative to electric vehicles was suggested as the environmental pollution problem emerged, the number of registered electric vehicles in Korea increased by more than 137 times compared to 2013. Secondary batteries are expected to expand into various markets such as small IT devices and electric vehicles, and the most important part of electric vehicles is the battery (secondary battery). Therefore, in this study, to analyze the stability of the CSM (Classifier Separator Mill) grinding disc that crushes secondary battery raw materials, structural analysis and vibration analysis of the 1st to 4th grinding discs and the final model were performed. The change of bending by the weight of the Grinding Disc is at least 0.065㎛ and maximum 0.075㎛, and the change by the standard gravity is judged to be very low. The strain is at least 0.00031㎛/㎛ and maximum 0.00078㎛/㎛, and even if the number of Hamer increases, the change by the weight is judged to be insignificant. When the Grinding Disc rotates at a maximum of 6000rpm, the deformation and deformation rate of the first to third models are similar, but the fourth model (Hamer 10EA) is more than three times and the final model (Hamer 12EA) is about four times. However, the maximum deformation is 28.21㎛, which is considered to be insignificant when the change is 6000rpm. Six modes of natural Frequency analysis of the 1st~4th order and final model of the grinding disc appeared to be bent or twisted.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.4_2
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• pp.961-972
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• 2024

As the global elderly population rapidly increases, the mental health of the elderly, particularly depression, has emerged as a significant social issue. This study analyzes the various factors influencing depression in the elderly based on the ICF model. Utilizing data from the Korea Welfare Panel Study, the study identifies the types of changes in depression among individuals aged 65 and older and examines the factors influencing these changes. This longitudinal secondary data analysis research uses the most recent three years of data (2021-2023) from the Korea Welfare Panel. The study sample consisted of 965 elderly individuals, and a latent class growth model was applied to identify the types of depression changes, while a multinomial logistic regression analysis was conducted to analyze the influencing factors. The analysis revealed that elderly depression could be categorized into four types: high-level decrease, high-level maintenance, low-level increase, and low-level maintenance. Main influencing factors included gender, age, education, poverty, social trust, social relationships, participation in economic activities, participation in religious activities, and health status. Particularly, social relationships and health status were significant factors affecting the types of depression changes. To mitigate depression in the elderly, a multifaceted approach considering both individual characteristics and social relationships and health status is required. The study suggests the development of community-based programs and trust-building activities at the community level to maintain and strengthen the social relationships of the elderly. These findings can serve as important foundational data for policies and practices aimed at improving the mental health of the elderly.