• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.493-498
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• 2024

With the rapid advancement of generative artificial intelligence technology, there is growing interest in how to utilize it in practical applications. Additionally, the importance of prompt engineering to generate results that meet user demands is being newly highlighted. Exploring the new possibilities of generative AI can hold significant value. This study aims to utilize ChatGPT 4.0, a leading generative AI, to propose an effective method for evaluating user experience through the analysis of online customer review data. The user experience evaluation method was based on the six-layer elements of user experience: 'functionality', 'reliability', 'usability', 'convenience', 'emotion', and 'significance'. For this study, a literature review was conducted to enhance the understanding of prompt engineering and to grasp the clear concept of the user experience hierarchy. Based on this, prompts were crafted, and experiments for the user experience evaluation method were carried out using the analysis of collected online customer review data. In this study, we reveal that when provided with accurate definitions and descriptions of the classification processes for user experience factors, ChatGPT demonstrated excellent performance in evaluating user experience. However, it was also found that due to time constraints, there were limitations in analyzing large volumes of data. By introducing and proposing a method to utilize ChatGPT 4.0 for user experience evaluation, we expect to contribute to the advancement of the UX field.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.15-21
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• 2024

The purpose of this study is to propose a framework for the introduction and evaluation of artificial intelligence (AI) services not only in general applications but also in public policies. To achieve this, the study explores AI service management and governance toolkits, providing insights into how to introduce AI services in public policies. Firstly, it offers guidelines on the direction of AI service development and what aspects to avoid. Secondly, in the development phase, it recommends using the AI governance toolkit to review content through checklists at each stage of design, development, and deployment. Thirdly, when operating AI services, it emphasizes the importance of adhering to principles related to 1) planning and design, 2) the lifecycle, 3) model construction and validation, 4) deployment and monitoring, and 5) accountability. The governance perspective of AI services is crucial for mitigating risks associated with service provision, and research in risk management aspects should be conducted. While embracing the advantages of AI, proactive measures should be taken to address limitations and risks. Efforts should be made to efficiently formulate policies using AI technology to create high value and provide meaningful societal impacts.

• Communications of Mathematical Education
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• v.38 no.1
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• pp.1-26
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• 2024

As the limitations of professional development programs and individual attempts to improve teaching expertise have been reported, mathematics teachers have operated various types of teacher learning communities as alternative teacher professional programs. A teacher learning community can be considered a Community of Practice(CoP) in that it satisfies three factors of Cop, which are common purpose, mutual participation, and shared repertoire, so the 'learning' of a teacher community can be interpreted based on the theory of CoP. The purpose of this study is to investigate the process of identity development of five mathematics teachers who have been continuously involved in teacher communities. For this, the researcher collected data on the entire process of community activities through participant observation and conducted individual follow-up interviews to explore mathematics teachers' narratives and personal experiences. Results indicated that mathematics teachers experienced the development of practical knowledge related to mathematics teaching and learning, improvement of teaching practice through continuous reflection and introspection, and recognization the shared value of togethering through community immersion. Based on these experiences, implications for the effective operation of learning communities such as national support of teacher learning communities and horizontal and cooperative teacher norms were discussed, and follow-up research was proposed.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.159-164
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• 2024

The domestic petroleum market is highly sensitive to changes in international oil prices. So, it is important to identify and respond to those changes. In particular, it is necessary to clearly understand the factors causing the price fluctuations of gasoline, which exhibits high consumption. International gasoline prices are influenced by global factors such as gasoline supplies, geopolitical events, and fluctuations in the U.S. dollar. However, previous studies have only focused on gasoline supplies. In this study, we explore the causal relationship between economic indicators and international gasoline prices using various machine learning-based regression models. First, we collect data on various global economic indicators. Second, we perform data preprocessing. Third, we model using Multiple linear regression, Ridge regression, and Lasso(Least Absolute Shrinkage and Selection Operator) regression. The multiple linear regression model showed the highest accuracy at 96.73% in test sets. As a result, Our Multiple linear regression model showed the highest accuracy at 96.73% in test sets. We will expect that our proposed model will be helpful for domestic economic stability and energy policy decisions.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.3
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• pp.173-186
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• 2024

This paper analyzes a case of successful faculty entrepreneurship through a coupled process of open innovation in a university context, using the core competency theory perspective. Initially, the current state of faculty entrepreneurship is examined, and the effects of interdisciplinary coupled processes of open innovation are explored, focusing on the case of 'Omotion Inc.,' a startup utilizing generative AI technology for hyper-realistic 3D virtual human experiences. The research methodology involves in-depth interviews with Omotion Inc.'s co-founders, technology commercialization professionals, and experts in the field, followed by analysis based on foundational theories. Applying the core competency theory, this paper scrutinizes the process of integrating diverse expertise and technologies from various academic disciplines. The analysis goes beyond the limitations of faculty entrepreneurship confined to a single technology-centric research domain. Instead, it explores the possibilities of enhancement and value creation through coupled processes, providing practical implications for the university entrepreneurial ecosystem. The aim is to extend the traditional roles of education and research within the university, presenting a role in economic value creation beyond the boundaries of conventional faculty entrepreneurship. Through the collaboration of two faculty members, this study showcases the creation of novel technology and business models. It establishes that successful coupled processes of open innovation in faculty entrepreneurship, from a core competency theory perspective, require the entrepreneurial firm to possess (1) entrepreneurial capabilities, (2) technological capabilities, and (3) networking capabilities. The implications of this research highlight the positive impact of coupled processes of open innovation in faculty entrepreneurship, as evidenced by the Omotion Inc. case, offering guidance on entrepreneurial directions for university members preparing for entrepreneurship.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.1-31
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• 2017

Modern businesses are adopting new technologies to serve their markets better as well as to improve efficiency and productivity. The advertising industry has continuously experienced disruptions from the traditional channels (radio, television and print media) to new complex ones including internet, social media and mobile-based advertising. This case study focuses on proposing intelligent advertising business model in Seoul's metro network. Seoul has one of the world's busiest metro network and transports a huge number of travelers on a daily basis. The high number of travelers coupled with a well-planned metro network creates a platform where marketers can initiate engagement and interact with both customers and potential customers. In the current advertising model, advertising is on illuminated and framed posters in the stations and in-car, non-illuminated posters, and digital screens that show scheduled arrivals and departures of metros. Some stations have digital screens that show adverts but they do not have location capability. Most of the current advertising media have one key limitation: space. For posters whether illuminated or not, one space can host only one advert at a time. Empirical literatures show that there is room for improving this advertising model and eliminate the space limitation by replacing the poster adverts with digital advertising platform. This new model will not only be digital, but will also provide intelligent advertising platform that is driven by data. The digital platform will incorporate location sensing, e-commerce, and mobile platform to create new value to all stakeholders. Travel cards used in the metro will be registered and the card scanners will have a capability to capture traveler's data when travelers tap their cards. This data once analyzed will make it possible to identify different customer groups. Advertisers and marketers will then be able to target specific customer groups, customize adverts based on the targeted consumer group, and offer a wide variety of advertising formats. Format includes video, cinemagraphs, moving pictures, and animation. Different advert formats create different emotions in the customer's mind and the goal should be to use format or combination of formats that arouse the expected emotion and lead to an engagement. Combination of different formats will be more effective and this can only work in a digital platform. Adverts will be location based, ensuring that adverts will show more frequently when the metro is near the premises of an advertiser. The advertising platform will automatically detect the next station and screens inside the metro will prioritize adverts in the station where the metro will be stopping. In the mobile platform, customers who opt to receive notifications will receive them when they approach the business premises of advertiser. The mobile platform will have indoor navigation for the underground shopping malls that will allow customers to search for facilities within the mall, products they may want to buy as well as deals going on in the underground mall. To create an end-to-end solution, the mobile solution will have a capability to allow customers purchase products through their phones, get coupons for deals, and review products and shops where they have bought a product. The indoor navigation will host intelligent mobile-based advertisement and a recommendation system. The indoor navigation will have adverts such that when a customer is searching for information, the recommendation system shows adverts that are near the place traveler is searching or in the direction that the traveler is moving. These adverts will be linked to the e-commerce platform such that if a customer clicks on an advert, it leads them to the product description page. The whole system will have multi-language as well as text-to-speech capability such that both locals and tourists have no language barrier. The implications of implementing this model are varied including support for small and medium businesses operating in the underground malls, improved customer experience, new job opportunities, additional revenue to business model operator, and flexibility in advertising. The new value created will benefit all the stakeholders.

• Journal of Korea Port Economic Association
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• v.35 no.4
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• pp.1-16
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• 2019

The purpose of this study is to Analyze the problems that container shipping companies exist through the commercialization of container shipping for Non-Arctic countries and the opportunity factors for the transport of the Arctic shipping to improve cooperation cross-border relation Arctic policy and the use of transport. In order to design a hierarchy analysis method study model, four high and 17 low factors were extracted by designing a hierarchy analysis method study model based on results by prior study and in-depth interview. The first of the higher factors is the internal strength of assessing the value of the Arctic, the will and capabilities of the shipping companies in creating new markets with the vision and goals of the shipping companies. Second, the internal constraints associated with the shipping companies advance to the NSR mean the negative factors for the entry into the NSR and the internal weaknesses that cause the shipping companies capacity limitations. Third, the economic benefits from the use of NSR are external factor for shipping companies in cooperation with the future economic value of the Arctic and with respect to Arctic sea and Arctic advance and development from Arctic coastal countries. Finally, external pre-emptive tasks means to respond to use NSR by external restrictions on transport to prepare the possibility of severe weather conditions, the customs policy change of coastal countries.

• Journal of the Korean Institute of Landscape Architecture
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• v.44 no.6
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• pp.98-106
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• 2016

This paper has attempted to reexamine current international circumstance and the meaning of regionality and discover the practical design strategy in the process of observing the trend of contemporary landscape architecture from the perspective of regionality. Contemporary landscape architecture has started to discover possibility in the local value and create identity. This tendency can be classified as follows: First, regionality is re-examined as a medium which can integrate nature, culture and city. As a concept which contains time and spatial continuity, landscape is a matter of the identity of land and area. Second, regionality has been reinterpreted and recreated by designers. Landscape designers attempt to restore the past memories and traces instead of adding a new concept after erasing previous physical features. This design attitude has spatialized time continuity. Third, site is seen as a palimpsest, not tabula rasa in contemporary landscape architecture. It has been attempted to visually materialize the natural and ecological processes and spatial features. Fourth, site is approached in a tectonic approach instead of analytical approach. It is attempted to organize and restore the geological and archeological memories and ecological processes. Differentiation has emerged as a critical design strategy in contemporary landscape architecture. However, regionality is also formed through an interaction with continuity as well as through differentiation. In this sense, the following possibilities can be reviewed as practical design strategies to realize regionality: First, a terra-tectonic approach discovers and selects possibility in the site and expresses the site, creating practical possibility which strengthens regionality. If the memory and conditions of the site are different, the identity would different as well. Second, continuity of region itself is a gene pool with comparative advantage. As a rough sketch of design, it acts as a loose conformity on designers' experience and practice. Of course, this approach is not absolute with some limitations. It is necessary to explore practical strategies.

• Journal of the Korean Society of Food Science and Nutrition
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• v.34 no.5
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• pp.667-673
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• 2005

The purposes of this study were 1) to analyze the preference of leadership style among ${\lceil}$Transformational leadership$\rfloor$ and ${\lceil}$Service leadership$\rfloor$, 2) to examine the differences of the job satisfaction between the high level of service leadership group and low level of the service leadership group and 3) to testify the hypothesis that the service leadership and its 4 elements (belief, attitude, ability, insight) affect the job satisfaction. The questionnaires were developed to measure the service leadership, the preference of leadership style (transfer-mational leadership and service leadership) and Job satisfaction. The surveys were distributed to 120 managers and employees in the family restaurant in Korea, and 104 questionnaires were responded (response rate: $86.7\%$). The SPSS 12.0 package program was used to conduct the descriptive analysis, correlation analysis, t-test and multiple regression analysis. The result of leadership style preference showed the followers preferred the service leadership $(75.0\%)$ to the transformational leadership $(25.0\%)$. Comparing the job satisfaction of high level of service leadership group and that of low level of service leadership group, the job satisfaction of high level of service leadership group was significantly (p<0.001) higher than that of low level of service leadership group (high level of service leadership group: 4.03, low service leadership group: 3.27, measured on a 5-point likert scale). All three factors of job satisfaction (human factor, service system and company image) in high level of leadership group were significantly (p<0.001) higher than those of lower level of service leadership group. The result of multiple regression analysis presented that the service leadership and it's 4 elements (concept, mind, skill, insight) have significant (p=0.000) effects on the job satisfaction. As a conclusion, we examined theoretical framework of service leadership model and testified the applicability in the field of family restaurants. But the service leadership was the new conceptual theory, so there should be the more empirical studies on managers and employees in the service industry.

• Journal of Yeungnam Medical Science
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• v.2 no.1
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• pp.221-227
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• 1985

Thirty-four patients with suspected ectopic pregnancy whose serum hCG levels had been measured by beta-hCG EIA before surgery were evaluated retrospectively. The results were as follows: 1. Final diagnosis of thirty-four patients with suspected ectopic pregnancy comprised twenty- eight tubal pregnancy, five ruptures of hemorrhagic corpus luteum and, one tubo-ovarian abscess. One of the five patients with rupture of hemorrhagic corpus luteum was accompanied by missed abortion. 2. Range of serum hCG levels in twenty-eight patients with tubal pregnancy was 59-21,980 mIU/ml and that of four patients with rupture of hemorrhagic corpus luteum and one patient with tubo-ovarian abscess was 0.6-6.6mIU/ml. Serum hCG level of a patient with rupture of hemorrhagic corpus luteum who was accompanied by missed abostion was 200 mIU/ml. 3. Serum hCG levels in twenty-two of twenty-eight patients with tubal pregnancy were lower than 3,000 mIU/ml. Low serum hCG level below 100mIU/ml and high serum hCG level above 6,500 mIU/ml were noticed in four and six patients with tubal pregnancy, respectively. 4. Mean serum hCG levels (${\pm}SD$) of twelve patients with tubal pregnancy who had intra-abdominal free blood of less than 500ml and sixteen patients with tubal pregnancy who had intra-abdominal free blood of more than 500ml were 4,131 (${\pm}7,801$) mIU/ml and 3,208 (${\pm}5,081$) mIU/ml, respectively. There was no statistical difference in the mean level of serum hCG between both group (P>0.05). 5. Mean serum hCG levels (${\pm}SD$) of thirteen patients with unruptured tubal pregnancy and fifteen patients with ruptured tubal pregnancy were 2,628 (${\pm}5,448$) mIU/ml and 4,449 (${\pm}6,938$) mIU/ml, respectively. Mean level of serum hCG was statistically higher in ruptured tubal pregnancy (P<0.01). 6. Positive rate of urine pregnancy test in the diagnosis of ectopic pregnancy was 64% (16/25) and mean range of serum hCG level of nine patients with false negative result were 353 mIU/ml and 59-933 mIU/ml.