• Knowledge Management Research
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• v.20 no.3
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• pp.1-16
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• 2019

Jobless Growth, one of the most issue keywords for Korea's economy at this moment, stands for an economic situation where the unemployment rate once edging up at the downturn does not fall sharply even after a business cycle is on the stage of its recovery. A remarkable progress of ICT has intensified the apprehension of technology displacing human labor. A remarkable progress of ICT has intensified the apprehension of technology displacing human labor historically. Nowadays, ICT as the main cause for recent jobless growth in Korea ends up with pointing out. This study is to investigate whether the ICT leads to an economic situation of jobless growth. We served an empirical analysis using firm-level panel data from 2009 to 2013 and estimated the effects of ICT on both firm's employment and productivity. A result suggests not only does the employment increase with the rise of ICT investment, but also the employment becomes a complete mediator in terms of linking ICT and firm's productivity. It turns out to be a groundless fear that the ICT rules out human labor causing jobless growth for Korea's economy according to the result revealed.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.119-129
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• 2007

In January 2005, the BTL private investment project was introduced in the Korean construction market as part of the plan to provide high-quality public service and expand the required facilities in a timely manner. Nonetheless, problems such as the low earning rate at the beginning of the business, burden of service compared to the cost of the proposed business, and limitations of the local small and medium-sized companies in relation to their participation in the project arose. The LCC analysis system for the BTL projects was developed as part of efforts toward efficiently investigating the investment eligibility. Specifically, methods for LCC analysis were selected for each stage of the BTL project in relation to the requests of experts for military residential facilities and public educational facilities. Variables were then extracted to derive an accurate analysis value, LCC for the 5 cost items (initial investment cost, operating expenses, maintenance expenses, energy cost, and disposal cost), analyzed, and system enabling comparative analysis for single and multiple initiatives by year and item, developed. Thus, we have to clearly require the accumulation of data to examine the appropriateness of the results of LCC analysis based on data and results.

• The Journal of Economics, Marketing and Management
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• v.12 no.5
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• pp.1-8
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• 2024

Purpose: The purpose of this study is to study promotion strategies so that the research results of national strategic technologies can lead to technology commercialization. National strategic technology is being promoted in various fields, but the reality is that review of the commercialization aspect is lacking. In order to lead to commercialization, the strategic goals and direction of the promotion process must be consistent, and a strategic review must be conducted in terms of technology commercialization. Research design, data and methodology: In this study, the direction of strategic technology was analyzed and commercialization problems and solutions were presented based on case studies and existing literature research. Although technology commercialization methods have been discussed, research on specific strategies is lacking. Results: It is necessary to pursue full-cycle technology commercialization to solve various problems for commercialization of cutting-edge science and technology and advance to the commercialization stage. We will cover topics such as understanding successful commercialization of special strategic technology fields, establishing appropriate commercialization strategies, government-wide cooperation, and investment support. Conclusions: Research results showed that discovery of excellent technologies, investment support, and multi-ministerial cooperation support are necessary to commercialize strategic technologies based on cutting-edge science and technology. This study should discuss various promotion strategies for strategic technologies to improve the efficiency of research and development investment.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.11-19
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• 2020

This study examines the factors that affect firm's liquidity in manufacturing companies listed in Vietnam. Factors studied include the board size, the board independence, the firm size, the firm age, and its return. We use different metrics to measure firm's solvency status, including the cash ratio, the quick ratio, and the cash conversion cycle. Accordingly, three econometric models are built to test hypotheses proposed by researchers in order to explain the relationship between the five factors above and liquidity's measures. The study used the data set of manufacturing companies listed on the Ho Chi Minh City Stock Exchange in the period from 2015 to 2019. The final sample group comprises 139 firms with 633 observations. The results show that in manufacturing firms, while the cash ratio and the quick ratio are positively associated to the board size, the board independence, and the firm's profitability, the net operating cycle is negatively correlated to the board size, the firm size, the board independence, and the profitability. Therefore, larger firms with larger board size and more independent members can help to improve capital management efficiency.There is no evidence for the relationship between the firm age and solvency measurements, between cash conversion cycle and firm's profitability.

• Journal of KIBIM
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• v.6 no.4
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• pp.9-17
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• 2016

Currently whole-house refurbishment for substantial energy efficiency improvement of existing housing stock is needed to achieve the targeted 80% CO2 emission reduction. As whole-house refurbishment requires a larger capital investment for lower CO2 emission, the simultaneous use of Life Cycle Costing (LCC) and Life Cycle Assessment (LCA) methodologies are recommended to generate affordable refurbishment solutions. However, two methodologies are difficult to use due to a lack of proper LCC and LCA datasets. As a response to the current problems, many researchers explore potentials in Building Information Modelling (BIM) to improve current construction practice. As a result, a BIM tool - IES IMPACT (Integrated Material Profile And Costing Tool) - has been introduced to the UK construction industry for simultaneous calculation of LCC and LCA. Thus, this research aims at examining the capability and limitation of the IES VE/IMPACT as a BIM tool for whole-house refurbishment. This research reveals that the IES VE/IMPACT is feasible for whole-house refurbishment by providing LCC and LCA information simultaneously for informed decision on refurbishment solution selection. This research shed lights on the current problems lying on the data exchange between two different BIM tools. It is revealed that additional efforts from construction professionals and industry are required to make reliable BIM objects library with LCC and LCA datasets.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1189-1194
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• 2009

A gutter-shaped U grating is a facility that is installed at the sides of a road to provide pedestrians with a rainwater-free road. The previous studies on this facility focused mainly on the progress of the efforts that are being made to improve its performance and interception efficiency so as to prevent damages in regional areas due to the heavy rains caused by climate change. The studies on its maintenance, however, are still inadequate. Therefore, this study was conducted to analyze and compare the life cycle costs and performance evaluations of the steel and magic gratings, which are installed in apartments. The results of the study show that the replacement period and rate of gratings differ depending on where they are installed. The initial capital investment cost of a magic grating installed at a road where many vehicles pass is quite high, but in terms of its maintenance and entire-life-cycle costs, its total expenses are lower than those of a steel grating. The results of this study are expected to serve as preliminary data for the selection of an adequate grating that is suitable for particular places in the design phase of construction projects.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.107-129
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• 2022

It is important to preempt new technology because the technology competition is getting much tougher. Stakeholders conduct exploration activities continuously for new technology preoccupancy at the right time. Gartner's Hype Cycle has significant implications for stakeholders. The Hype Cycle is a expectation graph for new technologies which is combining the technology life cycle (S-curve) with the Hype Level. Stakeholders such as R&D investor, CTO(Chef of Technology Officer) and technical personnel are very interested in Gartner's Hype Cycle for new technologies. Because high expectation for new technologies can bring opportunities to maintain investment by securing the legitimacy of R&D investment. However, contrary to the high interest of the industry, the preceding researches faced with limitations aspect of empirical method and source data(news, academic papers, search traffic, patent etc.). In this study, we focused on two research questions. The first research question was 'Is there a difference in the characteristics of the network structure at each stage of the hype cycle?'. To confirm the first research question, the structural characteristics of each stage were confirmed through the component cohesion size. The second research question is 'Is there a pattern of diffusion at each stage of the hype cycle?'. This research question was to be solved through centralization index and network density. The centralization index is a concept of variance, and a higher centralization index means that a small number of nodes are centered in the network. Concentration of a small number of nodes means a star network structure. In the network structure, the star network structure is a centralized structure and shows better diffusion performance than a decentralized network (circle structure). Because the nodes which are the center of information transfer can judge useful information and deliver it to other nodes the fastest. So we confirmed the out-degree centralization index and in-degree centralization index for each stage. For this purpose, we confirmed the structural features of the community and the expectation diffusion patterns using Social Network Serice(SNS) data in 'Gartner Hype Cycle for Artificial Intelligence, 2021'. Twitter data for 30 technologies (excluding four technologies) listed in 'Gartner Hype Cycle for Artificial Intelligence, 2021' were analyzed. Analysis was performed using R program (4.1.1 ver) and Cyram Netminer. From October 31, 2021 to November 9, 2021, 6,766 tweets were searched through the Twitter API, and converting the relationship user's tweet(Source) and user's retweets (Target). As a result, 4,124 edgelists were analyzed. As a reult of the study, we confirmed the structural features and diffusion patterns through analyze the component cohesion size and degree centralization and density. Through this study, we confirmed that the groups of each stage increased number of components as time passed and the density decreased. Also 'Innovation Trigger' which is a group interested in new technologies as a early adopter in the innovation diffusion theory had high out-degree centralization index and the others had higher in-degree centralization index than out-degree. It can be inferred that 'Innovation Trigger' group has the biggest influence, and the diffusion will gradually slow down from the subsequent groups. In this study, network analysis was conducted using social network service data unlike methods of the precedent researches. This is significant in that it provided an idea to expand the method of analysis when analyzing Gartner's hype cycle in the future. In addition, the fact that the innovation diffusion theory was applied to the Gartner's hype cycle's stage in artificial intelligence can be evaluated positively because the Gartner hype cycle has been repeatedly discussed as a theoretical weakness. Also it is expected that this study will provide a new perspective on decision-making on technology investment to stakeholdes.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.396-400
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• 2007

Various ways of automated guideway transit construction are being planned recently owing to the policies of the national government and local municipalities as well as increasing investment from the private sector. Particularly, the increase in the private investment is increasing greatly in SOC (Social Overhead Cost). This trend of promoting private sector investment must be conducted on the basis of a thorough analysis of the economic feasibility of the project from the government and construction companies in the private sector. In other words, an accurate cost analysis of initial investment cost (Construction cost), maintenance/repair cost, profit making through the operation of the concerned facilities, cost of dissolution, etc. in terms of the life cycle is very much in need. Nevertheless, the analysis of uncertainty factors and its probabilistic theory are in need of development so that they can be used in the analysis of the economic feasibility of a construction project. First of all, the actual studies on maintenance/repair cost of automated guideway transit are scarce as of yet, prohibiting an accurate computation of the cost and its economic analysis. Accordingly, this study focused on the uncertainty analysis of the economic feasibility for civil engineering structures among automated guideway transit construction projects based on the rapidly increasing investment on such structures from the private sector. For this research purpose, a cost classification system for the automated guideway transit is proposed, first of all, and the data On the cost cycle of the civil structure facilities and their unit cost are collected and analyzed. Then, the uncertainty in the cost is analyzed from the perspective of LCC. In consideration of the current status with almost no. studies on maintenance/repair of such facilities, it is expected that the cost classification system and the uncertainty analysis technique proposed in this study will greatly enhance LCC analysis and economic feasibility studies for automated guideway transit projects in the future.

• World Technopolis Review
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• v.1 no.3
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• pp.186-191
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• 2012

To understand South Korea's economic success several contending paradigms have emerged, ranging from a neo-classical explanation to a statist perspective, and Schumpeterian structuralism. The Korean miracle can be seen as a product of multiple factors involving the strategic choice of export-led growth, timely and active human-capital investment, business activism, and individual innovative ideas. However, South Korea needs more complex and innovative ideas to continue its both economic growth and S&T Development. The ideas of Schumpeterian structuralist needs to be more emphasized. Changing state-society relations and subsequent policy choice are greatly influenced by the industrial life cycle. The industrial life cycle is closely related to the historical sequencing and diffusion of technology. The complex mixture of statist-market-Schumpeterian structuralist perspectives could lead more technologically advanced society in South Korea.

• Journal of the Korean Operations Research and Management Science Society
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• v.25 no.3
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• pp.49-64
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• 2000

A vendor supplies a product to a sole/major buyer on a lot-for-lot basis under deterministic inventory control conditions. The basic premise is that the setup cost reduction technologies are available to both the buyer and the vendor, and that the vendor's inventory and setup reduction investment costs differ from the buyer's. Therefore, an individually designed ordering and setup cost reduction policy will likely cause mismatches between the vendor's and the buyer's optimal cycle times. For this situation, we show that a joint optimal setup cost reduction and ordering policy, together with an appropriate side payment(quantity discount or premium price) schedule, can be designed in a spirit in a spirit of coordination to eliminate mismatches in individual optimal cycle times.