• Journal of Digital Convergence
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• v.3 no.2
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• pp.73-116
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• 2005

When people contact the government they can use a variety of channels. That is, they go in person to an office, use a telephone service, access information via the Internet, send a letter, or use a third party. Since the Australian Government first recognised the potential of online technology to improve service delivery in its 1997 Investing for Growth statement, it has articulated its policies and strategies for e-government in a number of papers. E-government involves government agencies delivering better programs and services online through the use of new information and communication technologies. The policy papers included Government Online-The Commonwealth's Strategy, launched in April 2000, and a new framework for e-government, Better Services. Better Government, launched in November 2002. Most recently, the Government released Australia's Strategic Framework for the Information Economy in July 2004. These papers outlined the broad directions and priorities for the future of e-government in Australia, and sought to maintain the momentum of agencies' actions under Government Online. One of its key objectives was for agencies to achieve greater efficiency in providing services and a return on their investments in ICT (Information and Communication Technology)-based service delivery. They also stated that investing in e-government should deliver tangible returns, whether they take the form of cost reductions, increased efficiency and productivity, or improved services to business and the broader community Implementation of the Government policy has led to considerable agency investment in ICT-based service delivery. However government policy also requires managers to ensure that program and service delivery is efficient and effective. Efficient and effective use of ICT has the potential to improve service delivery and to make financial savings. This paper outlines how people are using the channels to contact the government in Australia. It also examines the level of satisfaction they have with those services and their preferences and expectations. In addition, this paper aims at identifying the methods used by Australian Government to measure the efficiency and effectiveness of their delivery of services, and at assessing the adequacy of these methods.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.27-43
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• 2024

Recently, the importance of trademarks as a core resource of corporate competitiveness to protect and differentiate products and services is increasing. Global companies are focusing hard to secure trademark rights to manage brands that reflect their core values and to respond to increasingly frequent trademark disputes, while start-ups and individuals are working hard to secure trademark to run stable businesses and attract investment funds. Meanwhile, this study conducts an empirical analysis to identify the relationship between the brand and business strategy of domestic venture startups. The analysis data used was the response data of 2,230 corporate companies from the 2021 Venture Business Precision Survey, and the propensity score matching method, structural equation model analysis, and binomial logit analysis were used as analysis methods. As a result of the analysis, it was confirmed that domestic venture startups' trademark ownership does not make a significant difference in terms of the level of business strategy. This was confirmed to be because the brands of domestic venture start-ups mainly advance their business strategies only through the internal competency process, while the advancement of business strategies through the external competency process is very minimal. Meanwhile, it was confirmed that the level of cost advantage strategy among the business strategy levels of venture start-ups strengthens the tendency to hold trademarks, indicating that the higher the completeness of the cost advantage level, the more likely it is to expand trademark ownership for stable sales and supply of products and services through trademark ownership and to convert to high value-added in the future.

• The Journal of Information Systems
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• v.15 no.3
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• pp.1-34
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• 2006

The purpose of this study Is to develop empirically validated instrument for business model. The previous researches related to business model were almost taxonomies. And the focus of those researches were the classification by the degree of integration and innovation the origin, and the main source of revenue etc. In the emerging fields such as IT, e-commerce, and e-business, it tends to overlook methodological issue in its substantive relationships and also measurement. Business model is taken an interest in recent years. However, as the non-establishment of construct on business model has made no empirical study, this, study tries to develop an empirical validated instrument that identifies the dimensions of business model by uncovering meaningful group or categories. For this, the outlined domain of business model are defined as an organizational level that competes in the industry through the literature reviews. And the traits such as process integration, value chain reconstruction, strategic alliance with another business model, specialty in a certain wet sustainability of essential capabilities, differentiation, convertibility, customer orientation, revenue stream, newness, innovation leadership: and vision sharing are identified in those respective domains, and then the traits are classified into five dimensions such as interlinkageableness, valueness, functionalness, preemptiveness, and goalness by their characteristics. Generating items are continued on the basis of operationalization. Confirmatory factor analysis is performed in order to develop validated instrument with LISREL measurement model. Finally the instrument is developed through the previous procedure. The implication of this study is the first empirical effort to assess business model. The resulting instrument can be used with dependent variables in the future study related to business model. And the establishment of construct of business model is able to make a basis to rise an additional issue consequently. In the practical side, the instrument also can be employed as an assessment framework that can assess whether the expected value success or not. The instrument with the measurement can be used on competitor's business model, In. When an investment into a i-m with a specific business model, these instrument developed can be presented as the basic framework of assessment.

• Journal of Technology Innovation
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• v.10 no.1
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• pp.98-123
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• 2002

This study develops a Korean R&D Scoreboard which has originated from the R&D Scoreboard in United Kingdom. The Scoreboard contains details of the R&D investment, sales, growth, profits and employee numbers for Korean companies which are extracted from company annual reports and key ratios calculated, with some movements over time. Companies are classified by the Korea Standard Industrial Classification. The Scoreboard contains 190 companies which consist of 100 largest companies and 30 middle-or small-sized firms listed in Korea Stock Exchange (KSE), and 30 ventures and 30 other firms listed in KOSDAQ. The overall company R&D intensity (R&D as a percentage of sales) is 2.1% compared to the international average of 4.2%. Korea has an unusually large R&D percentage of sales in IT hardware (4.9%) and telecommunication (3.7%). R&D intensity is positively correlated with company performance measures such as profitability, sales growth, productivity and market value. For largest companies listed in KSE and ventures listed in KOSDAQ, the ratio of operating profit to sales is greater for high R&D intensity companies. Sales growth is in proportion to R&D intensity for all companies. Plots of value added per employee or sales per employee vs R&D per employee rise together for the sectors studied, especially for the chemical sectors and automobile sectors, demonstrating a correlation with productivity. The average market value of high R&D companies in the KSE has risen more than 1.6 times that of the KOSPI 200 index. Given the correlation between R&D intensity and company performance and given that R&D is a smaller percentage of surplus (profits plus R&D) than international level (both overall and in several sectors), the challenges facing Korean companies are to maintain the leading position in IT hardware and telecommunication, and to increase the intensity of R&D in many medium-intensive R&D sectors where Korea has an average intensity well below international or US levels.

• Journal of the Korean Wood Science and Technology
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• v.46 no.5
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• pp.577-596
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• 2018

ASEAN countries consist of vast coastal areas and thousands of islands that are vulnerable to the effects of climate change on sea level rise. It is believed that this will play an important role in reducing greenhouse gas emissions globally in order to minimize the damage suffered by ASEAN countries. To overcome this issue, biofuels have been used to minimize the impact on the environment by replacing fossil fuels and to reduce greenhouse gas emissions. In those cases of United States, Brazil and Europe, where biofuels are highly utilized, research, development and investment in this field have been actively conducted in the past. In ASEAN countries, however, it has not been a long time since the biofuel policies were established. To overcome this problem, we investigated the renewable fuel policy in the United States, Brazil and the European Union. Based on this, we suggested the utilization plan and prospect of biofuel policy in ASEAN countries.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.38-45
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• 2017

As the competitiveness of SMEs (small and medium enterprises) is getting more and more improved and globalized, the government provides various consulting services to secure the competitiveness of small and medium firms and support stable growth. However, the assessment of the result from the government's support is generally focused on non-financial factors, such as customer satisfaction and analysis of improvement effect. This paper is in regards to the statistical analysis of how much the government's support in the form of providing consulting services contributes to financial outcomes in terms of profitability and growth. ROA (return on asset) and ROS (return on sales), which are investment profitability and sales profitability respectively, are chosen as an indicator of profitability. For analysis of growth, sales revenue and total asset growth are used. The samples are 44 corporations which are supported by government, and 150 corporations which are selected for comparison, with corporate growth support center program by the Ministry of Trade, Industry, and Energy chosen as the consulting model. After gathering the yearly balance sheets and income statements of the samples from CRETOP, Korea Enterprise Data, the analysis is conducted in the way of identifying the statistical significance of financial difference in the same period between corporates taking consulting services and corporates which have not, and the difference of financial outcomes from the corporates taking consulting services before and after consulting services. As a result, in terms of business growth, it is turned out to have positive difference both in growth ratio and profitability compared to the compared corporations at the significant level. Therefore, it is obvious that the consulting program which government provides to SMEs have direct influence practically to the corporates' management performance.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.1603-1614
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• 2010

As the Kyoto protocol and Bali road-map, our country is expected to be included to the emission reduction controlled country of greenhouse gas, so we are now urgent situation to take an action in the level of government. In this research, environment friendly rail logistics and combined transport were treated to meet with the green growth policy of our government. Major problems of Ui-wang ICD suggested in this research are short of yards, unutilized public CY, inconvenience use by non-share holders. It is necessary to improve rail logistic infrastructure, that is, additional expansion of yard, direct operation by KORAIL and regular unloading system are needed. such improvement can not be solved just by the endeavor of business body. Rail logistic infra & Integrated freight terminal has a tendency of SOC, which require tremendous amount of investment, so there are some limit in doing by private sector itself, now it's time to do by the government level. The improvement of rail logistic infrastructure in the level of government is possible by the policy of environment friendly green logistic support which is related with Logistic Policy Basic Law, so government should prepare detailed directives to activate Integrated freight terminal.

• 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.

• International Journal of Highway Engineering
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• v.13 no.4
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• pp.151-158
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• 2011

Tunnel sections on the expressway are different from rest of sections on the expressway in terms of velocity, the number of passing cars, and vehicle density which, in particular, affect drivers' behavior before and after drivers pass through the tunnel. However, literature review reveals that former studies are too focused on quantitative indicator to consider qualitative aspects. Thus, this study tried to find out qualitative factors affecting speed reduction in tunnel sections based on questionnaire surveys and its analysis in tunnel sections selected by taking consideration of diverse conditions. Analysis showed that factors concerning tunnel configuration (lane width, shoulder width, and tunnel length) related to very long tunnels increasingly popular recently had some effects on reduced speed inside of tunnels. It appeared that visual environment such as visibility of tunnel entrance had an impact in speed reduction and vehicle speed tended to change according to lighting illumination level inside of tunnels. It is expected that continual investment would be made in technological development related to expressway tunnel design and service improvement based on this study.

• Journal of Animal Environmental Science
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• v.2 no.1
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• pp.13-25
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• 1996

This study was conducted to analyze the technological levels of the domestic industries manufacturing the machinery and equipment for livestock production facilities and to lay out a scheme for upgrading the technical improvement. The results of this study are as follows : 1 . According to the study results, the technological levels of the domestic industries for livestock production facilities lag far behind those of the advanced countries in this field. 2. It was found that the ratio engaged in the areas of R&D was 10.7% and lower than that engaged in the other areas and the ratio of junior college graduated engineers engaged in the areas of research and design was 44.4%. Therefore, the amounts of investment for the areas of R&D and design should be increased. 3. In the design area, it was found from the study that the most weakness technologies which should be developed in near future were the universal harvester and the mechanical designing. Therefore, the multipurpose universal harvester suitable to the domestic farmland conditions should be developed and strength, hardness, and durability of materials in the mechanical designing should be improved.