• 한국디지털정책학회:학술대회논문집
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• 2004.05a
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• pp.95-118
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• 2004

In industrialised countries, innovation is a key source of economic growth. Research is a key driver of technological innovation and involves the process of systematic investigation and/or experimentation to discover new knowledge. The Governments' industry innovation policy supports a business focus on Research and Development (R&D) through a range of programs in order to achieve these aims. The Innovation Statement (DISR 2000, 20010, launched by the Australian Prime Minister?in January 2001, commits an additional $3 billion over five years to encourage and support innovation. The Australian Government aims to?build world competitive firms and strong research capability in industry to strengthen Australia's international competitiveness and increase national prosperity.?It develops policies and programs to enhance investment in innovation. The Australian Government has established a number of R&D funding support programs aimed at increasing the level of R&D in Australia. The backbone of these programs is the tax concession program, which is made up of the 125 per cent R&D tax concession, the 175 per cent premium tax concession and the tax offset. Over 4000 businesses take advantage of the tax concession scheme, which costs the government around $400?million a year. This cost is expected to rise to over half a billion by 2005-06 (Commonwealth of Australia, 2003). Ensuring these resources are invested where they provide significant national economic benefits is a major policy issue. In this sense, this paper looks at the appropriateness, effectiveness and efficiency of the R&D tax concession with costs and benefits analysis.

• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.4
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• pp.675-683
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• 2013

Purpose: Nineteen articles were analyzed to gather opinions and nursing implications about NIPT recently launched. Methods: Nineteen articles were selected from EBSCO (eBook business collection), Google Scholar, and two Korean academic d-bases with key words 'prenatal screening testing', 'prenatal genetic diagnostic testing', NIPT or 'cell free DNA (cfDNA)'. Authors developed a framework for analyzing the 19 articles including opinions and suggestions for future implications. Results: Eleven articles written by the first author affiliated with medicine or genetics, viewed NIPT as promising because of safety, accuracy, early detectability and cost effectiveness. Articles written by journalists or authors affiliated with history and ethics were concerned with the possible risk of ELSI (ethical, legal, social issues), erratic interpretation of test results, and lack of genetic counseling service. Conclusion: With consideration of Korean clinical, and legal circumstances, not only pregnant women and families but also health professionals must prepare for clinical NIPT implications including updating prenatal genetic testing, counseling services, protecting ELSI and amulticultural team approach.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2010.05a
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• pp.115-118
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• 2010

The concept of construction information systems (IS) is very comprehensive and subjective. Acronyms in relation to the construction IS may include BIM, CIC, IT, nD-CAD, ERP, CALS, KM and so on. These terminologies are used in a somewhat mixed way causing possible misunderstandings in research and practice of construction information systems. Moreover, ever-changing construction business environment has widely affected the roles and methods of utilizing construction IS. Examples of these changes are dissemination of alternative project delivery systems, global standardization under highly competitive overseas market, and advancement of information and communication technologies. In this context, the purpose of this paper is to propose a high-level framework for information systems in the construction industry. Several different concepts in the area of construction IS were investigated first in order to identify the major variables of the framework. Trends of research and real-world implementations were then analyzed to support the rationale of the variables. Finally, a framework was proposed by re-arranging the relevant issues. Findings of this paper indicate that different acronyms commonly share many similar concepts in their definitions, however, in each acronym, the motivations and approaches to implementing construction IS are very different. Different approach can provide maximum effectiveness, while overlaps may happen causing practical inefficiency.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.3
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• pp.59-69
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• 2017

The best 'hub' to communicate with the citizen is using social media to marketing the business. However, there has several issued and the most common issue that face in critical is a capital issue. This issue is always highlight because most of automatic sentiment detection tool for Facebook or any other social media price is expensive and they lack of technical skills in order to control the tool. Therefore, in directly they have some obstacle to get faster product's feedback from customers. Thus, the personal online retailing need to struggle to stay in market because they need to compete with successful online company such as G-market. Sentiment analysis also known as opinion mining. Aim of this research is develop the tool that allow user to automatic detect the sentiment comment on social media account. RAD model methodology is chosen since its have several phases could produce more activities and output. Soppy tool will be develop using Microsoft Visual. In order to generate an accurate sentiment detection, the functionality testing will be use to find the effectiveness of this Soppy tool. This proposed automated Soppy Tool would be able to provide a platform to measure the impact of the customer sentiment over the postings on their social media site. The results and findings from the impact measurement could then be use as a recommendation in the developing or reviewing to enhance the capability and the profit to their personal online retailing company.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.27-37
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• 2014

While organizations are making a considerable effort to leverage formal and informal control mechanisms (e.g., policies, procedures, organizational culture) to improve security, their impact and effectiveness is under scrutiny as employees seldom comply with information security procedures. The best way to ensure the viability of a security policy is to make sure users understand it and accept necessary precautions. From an organization's perspective, a lack of security knowledge and awareness on the part of employees is a major problem. However, previous studies suggest that effect of security awareness education is inconsistent. Thus, this study is to find the answer why security awareness education is not effective. Conclusions and implications are discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.7
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• pp.3128-3149
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• 2018

A number of effective methods for multiple-attribute group decision making (MAGDM) with interval-valued intuitionistic fuzzy numbers (IVIFNs) have been proposed in recent years. However, the different methods frequently yield different, even sometimes contradictory, results for the same problem. In this paper a novel criterion to determine the advantages and disadvantages of different methods is proposed. First, the decision-making process is divided into three parts: translation of experts' preferences, aggregation of experts' opinions, and comparison of the alternatives. Experts' preferences aggregation is considered the core step, and the quality of the collective matrix is considered the most important evaluation index for the aggregation methods. Then, methods to calculate the similarity measure, correlation, correlation coefficient, and energy of the intuitionistic fuzzy matrices are proposed, which are employed to evaluate the collective matrix. Thus, the optimal method can be selected by comparing the collective matrices when all the methods yield different results. Finally, a novel approach for aggregating experts' preferences with IVIFN is presented. In this approach, experts' preferences are mapped as points into two-dimensional planes, with the plant growth simulation algorithm (PGSA) being employed to calculate the optimal rally points, which are inversely mapped to IVIFNs to establish the collective matrix. In the study, four different methods are used to address one example problem to illustrate the feasibility and effectiveness of the proposed approach.

• Journal of Engineering Education Research
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• v.20 no.5
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• pp.23-33
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• 2017

It is examined that how flipped learning and mind-wandering affect an idea generation task. For the purpose, the participants in the idea generation task are divided into two groups to learn SIT(Systematic Inventive Thinking) and BCC(Business Creativity Codes) as idea generating tools in advance. One group learned the tools in a classroom, and the other group through an online education program. The creativity level of an idea is evaluated in the dimensions of originality, practicality, and realizability. The creativity levels of the ideas from the two groups are not statistically different in all the three creativity dimensions. To examine the effect of mind-wandering, another group generated ideas two hours a day in four days instead of eight hours in one day. The creativity levels of the ideas from the third group are higher in the dimensions of originality and practicality. This shows that the effectiveness of flipped learning is not so different from the face-to-face learning in a classroom, and mind-wandering has a positive effect in the learning.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.1
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• pp.49-61
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• 2017

This paper proposes an R&D project selection methodology for green technology centered on developing country-oriented technology commercialization. Eight selection criteria are derived from the R&BD logic model : technology needs of developing countries, effectiveness of green technology, technological potentials, domestic technological capability, commercialization feasibility, economic benefits, business feasibility, and spillover effects of developing countries. 21 qualitative and quantitative indicators are then defined for each criterion. The analytic hierarchy process is conducted to produce relative importance of evaluation indicators and to set final priority scores of R&D project candidates. The working of the proposed methodology is provided with the help of a case study example of Green Technology Center. The proposed methodology is expected to be effectively utilized for policy practices of R&D project selection in the field of green technology.

• The Journal of the Korea Contents Association
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• v.11 no.2
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• pp.88-100
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• 2011

This thesis suggests fixed quantity model and detailed performance procedures of an information system audit. In addition, an identification of the check-items with high operating risk and factors that might lead to serious effects on the business are made. Then, this thesis proposes the information system audit model that can grant priorities. By using this model, the orderer can evaluate objectively with digitized mark. The model can improve the effectiveness, reliability, and objectivity of the audit by minimizing the discrepancies of different opinions about audit evaluation results between auditee and the orderer. The proposed model is adapted to an application system and audit projects of the database construction. As a result, the model has received an equal mark from the result of the general reviews, thus the propriety of the proposed model was verified.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.4
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• pp.145-154
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• 2020

The paper aims to investigate the interactions between rule of law, economic growth and the shadow economy in 18 selected transition economies. This study uses annual data over the period 2002-2015 for 18 transition countries to estimate the effects of rule of law and other factors on the size of shadow economy. The transition country group is classified based on International Monetary Fund resources and is selected on the basis of the availability of data. The data examined in this research are derived from the World Bank, Worldwide Governance Indicators project and Working Paper from International Monetary Fund. This study employs GMM method. The results show that the economic growth indicators have negative and statistically significant impact on the shadow economy. Additionally, these results also reveal that in transition countries the size of shadow economy is negatively related to the quality of rule of law. However, the findings of this research also point out that there are positive relationships between inflation, public expenditure and the size of shadow economy. Hence the results from this study suggest that the size of shadow economy could be controlled by improving the effectiveness of rule of law and the growth of economy particularly in transition countries.