• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.577-588
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• 2020

The purpose of this study is to conduct the Korean translation and validity of the Unconditional Positive Self-Regard Scale(UPSR) that Patterson and Joseph(2006) originally developed based on the Rogerian person-centered theory. K-UPSR was adapted, modified and validated from the UPSR Scale. This study verified reliability and validity, and factor structure of K-UPSR. The preliminary study was proceeded with twelve adapted questions to 131 undergraduate and graduate students. As a result, three questions were deleted for the low reliability. The exploratory factor analysis of the nine questions showed two sub factors. The internal consistency reliability of nine questions with two sub factors was .89 in this study. The study was conducted by 419 male and female adults and verified confirmatory factor analysis and the validity. The study data was evaluated for the suitability of convergent and discriminant validity of K-UPSR. Through the correlation analysis of other five scales, the result was mostly corresponded to the preliminary study.

• Industry Promotion Research
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• v.9 no.1
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• pp.65-79
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• 2024

This study analyzed the failure cases of new products for relative benefits among various factors related to the characteristics of innovation, which is an important factor in the consumer persuasion process among Rogers (1995)'s innovation diffusion theory. This is because relative profits are the most influential factor in consumers' intention to adopt among the characteristics of various innovative products (Holak and Lenmann, 1990). As a result of analyzing the failure cases of new products of six companies, these products lacked relative profits for existing products in common. Relative profits are factors that are measured in the economic sense or are measured by social advantages, convenience, and satisfaction, and are the most important factors compared to other factors such as suitability, complexity, observability, and applicability. In the end, it was found that relative profits compared to existing products are an important success factor in persuading consumers of new products.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.685-692
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• 2007

본 연구에서는 로저스의 개혁확산이론(Rogers, 2003)과 데이비스의 기술수용모형(Davis, 1989)을 바탕으로 실감공간기술에 대한 잠재적 사용자의 태도를 분석하였다. 개혁확산이론과 기술수용모형을 바탕으로 한 선행 연구들을 통해 새로운 미디어의 채택에 영향을 미치는 다양한 요인들을 고찰할 수 있었다. 개혁확신이론을 통해서는 개인의 심리적 수준은 물론 인구통계학적 수준, 사회적 수준 등 다양한 요인과 그 하부 요인이 도출되었으며, 기술수용모형을 통해서는 개혁확산이론을 통해 도출된 다양한 변인들이 실감공간기술에 적용될 수 있다는 가설을 설계할 수 있었다. 개혁확산 이론과 기술수용모형을 통해 이미 설명된 기존의 뉴미디어들과 달리 실감공간기술이 개발 진행 중이라는 점과 그 다양한 발전 가능성이라는 특징을 고려했을 때, 실감공간기술의 확산을 어떻게 예측하고 설명할 수 있는지 고찰하는 것 또한 본 연구의 목적이라고 할 수 있다. 본 연구에서는 실감공간기술에 대한 잠재적 사용자들의 사용의도에 영향을 미치는 요인의 영향력을 살펴봄으로써 실감공간기술의 다양한 활용 방안에 대하여 모색하였다.

• Journal of the Korean Society of Costume
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• v.57 no.9
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• pp.32-48
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• 2007

This study analyzed image components of make-up image between fashion and advertisement of Christian Dior, also, this study examined, compared and analyzed their aesthetic characters. Then, it researched whether brand image was shaped exactly as the same method or not. The study was theoretical and established method; using more than a graduate student-major in clothing and make up, survey$(2004.5{\sim}6.)$ and SPSS 10 program statistics method. As the results, in Dior fashion and make-up, this study analyzed the factors of shape, color, material and texture, and both of them indicated the aspects of chic, classic, gorgeous and romantic image. Also, consumers understood them as a same image. This demonstrated that Christian Dior fashion and make-up have been shaping toward a same image as a same meaning.

• Journal of Internet Computing and Services
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• v.16 no.4
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• pp.13-23
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• 2015

In order to reduce public medical expenses as well as to provide effective medical services, telemedicine between doctors and patients is considered as an alternative to the conventional hospital visit. But the medical community has been protesting the introduction of telemedicine for the efficacy and safety reasons. Korean government has been conducting a number of pilot projects to demonstrate the efficacy and safety of telemedicine for more than 10 years. However, still the system is not yet legalized. In this study, we have conducted a telemedicine pilot project in Cambodia for one year, where telemedicine can be more freely exercised. After the project, we conducted a survey based on the 'Rogers diffusion' theory. Survey results show that both physicians and patients are positive about the relative advantage of the telemedicine. However, the complexity and high cost of the equipment used in telemedicine has been found to be a possible obstacle. In addition, we found that there is no problem for providing telemedicine services under challenged environment, such as in Cambodia.

• Journal of Life Science
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• v.25 no.11
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• pp.1290-1297
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• 2015

Studies of the inactivation of a gene encoding pyruvate decarboxylase, pdc, in an ethanol-producing bacterium, Zymomonas mobilis, identified a mutant strain with 50% reduced PDC activity. To evaluate the possibility of a carbon-flux shift from an ethanol pathway toward higher value fermentation products, including pyruvate, succinate, and lactate, fermentation studies were carried out. Despite attempts to silence pdc expression in the wild-type strain ZM4 using cat-inserted pdc and pdc-deleted homologs by electroporation, the strain isolated showed partial gene activation. Fermentation experiments with the PDC mutant strain showed that the reduced expression level of PDC activity resulted in decreased rates of substrate uptake and ethanol production, together with increased pyruvate accumulation of 2.5 g l^-1 , although lactate and succinate concentrations were not significantly enhanced in these modified strains. Despite numerous attempts, no strains were isolated in which complete pdc inactivation occurred. This result indicates that the ethanol fermentation pathway of this bacterium is totally dependent on the activity of the PDC enzyme. To ensure a redox balance of intracellular NAD and NADH levels, other enzymes, such as lactate dehydrogenase for lactate, and enzymes involved in the production of succinic acid, such as pyruvate dehydrogenase (PDH) and malic enzymes, may be needed for their increased end-product production.

• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.251-262
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• 2020

The purpose of this study is to analyze musical styles emerging in modern musical history from the perspective of integration and deconstruction, and to academically investigate the characteristics contained in each style. The style of musicals can be divided into periods of non-integrity, integration, deconstruction, and convergence. The rise of musical styles and the associated meanings can be studied from the perspective of modernism and postmodernism. In modernism, the energies of 'integration' and 'concentration' form the major trend while in early postmodernism, the powers of 'deconstruction' and 'dispersion' play the main role. Late postmodernism is a dialectic result of both trends in which the philosophy of 'convergence' and 'harmony' operates as the main theme. The principle of integration and deconstruction, which forms the base of musical creation, emerged after the development of the unstable style of non-integrity in the early days of musical. Later, with the advent of Rogers and Hammerstein II, the principle of integration was established for book musicals, emphasizing the linearity of drama, and the principle of deconstruction was born for concept musicals to contain new contents. The 'convergence' found in later musical works turn the theme from non-integrity to integration, and from deconstruction to integration again, which indicates that integration is embracing the concept of deconstruction again in a more advanced sense. Such convergent compromise that constantly influences each other and develops in a better direction can contribute to the development of musical styles.

• Information Systems Review
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• v.19 no.1
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• pp.75-100
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• 2017

Today, firms are constantly transforming and innovating to survive under the rapidly changing business environment. The introduction of cloud computing services has become popular throughout society as a whole and is expected to result in many changes and developments not only in firms and but also in the public sector subject to innovation. The purpose of this study is to investigate the effect of the characteristics of cloud computing services on the perceived expected performance according to innovativeness based on innovation diffusion theory. The results of the analysis of the data collected from this research are as follows. The convenience and understanding of individuals' work as well as the benefits of cloud computing services to them depend on the innovative trend of cloud computing services. Further, the expectations for personal benefit and those for organizational benefit of cloud computing services are different from each other. Leading firms in the global market have been actively engaged in the utilization of cloud computing services in the public sector as well as in private firms. In consideration of the importance of cloud computing services, using cloud computing services as the target of innovation diffusion research is important. The results of the study are expected to contribute to developing future research models for the diffusion of new technologies, such as big data, digital convergence, and Internet of Things.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.127-146
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• 2017

Services using artificial intelligence have begun to emerge in daily life. Artificial intelligence is applied to products in consumer electronics and communications such as artificial intelligence refrigerators and speakers. In the financial sector, using Kensho's artificial intelligence technology, the process of the stock trading system in Goldman Sachs was improved. For example, two stock traders could handle the work of 600 stock traders and the analytical work for 15 people for 4weeks could be processed in 5 minutes. Especially, big data analysis through machine learning among artificial intelligence fields is actively applied throughout the financial industry. The stock market analysis and investment modeling through machine learning theory are also actively studied. The limits of linearity problem existing in financial time series studies are overcome by using machine learning theory such as artificial intelligence prediction model. The study of quantitative financial data based on the past stock market-related numerical data is widely performed using artificial intelligence to forecast future movements of stock price or indices. Various other studies have been conducted to predict the future direction of the market or the stock price of companies by learning based on a large amount of text data such as various news and comments related to the stock market. Investing on commodity asset, one of alternative assets, is usually used for enhancing the stability and safety of traditional stock and bond asset portfolio. There are relatively few researches on the investment model about commodity asset than mainstream assets like equity and bond. Recently machine learning techniques are widely applied on financial world, especially on stock and bond investment model and it makes better trading model on this field and makes the change on the whole financial area. In this study we made investment model using Support Vector Machine among the machine learning models. There are some researches on commodity asset focusing on the price prediction of the specific commodity but it is hard to find the researches about investment model of commodity as asset allocation using machine learning model. We propose a method of forecasting four major commodity indices, portfolio made of commodity futures, and individual commodity futures, using SVM model. The four major commodity indices are Goldman Sachs Commodity Index(GSCI), Dow Jones UBS Commodity Index(DJUI), Thomson Reuters/Core Commodity CRB Index(TRCI), and Rogers International Commodity Index(RI). We selected each two individual futures among three sectors as energy, agriculture, and metals that are actively traded on CME market and have enough liquidity. They are Crude Oil, Natural Gas, Corn, Wheat, Gold and Silver Futures. We made the equally weighted portfolio with six commodity futures for comparing with other commodity indices. We set the 19 macroeconomic indicators including stock market indices, exports & imports trade data, labor market data, and composite leading indicators as the input data of the model because commodity asset is very closely related with the macroeconomic activities. They are 14 US economic indicators, two Chinese economic indicators and two Korean economic indicators. Data period is from January 1990 to May 2017. We set the former 195 monthly data as training data and the latter 125 monthly data as test data. In this study, we verified that the performance of the equally weighted commodity futures portfolio rebalanced by the SVM model is better than that of other commodity indices. The prediction accuracy of the model for the commodity indices does not exceed 50% regardless of the SVM kernel function. On the other hand, the prediction accuracy of equally weighted commodity futures portfolio is 53%. The prediction accuracy of the individual commodity futures model is better than that of commodity indices model especially in agriculture and metal sectors. The individual commodity futures portfolio excluding the energy sector has outperformed the three sectors covered by individual commodity futures portfolio. In order to verify the validity of the model, it is judged that the analysis results should be similar despite variations in data period. So we also examined the odd numbered year data as training data and the even numbered year data as test data and we confirmed that the analysis results are similar. As a result, when we allocate commodity assets to traditional portfolio composed of stock, bond, and cash, we can get more effective investment performance not by investing commodity indices but by investing commodity futures. Especially we can get better performance by rebalanced commodity futures portfolio designed by SVM model.