• Economic Analysis
• /
• v.24 no.3
• /
• pp.1-36
• /
• 2018

When it comes to explaining the relationship between inventory investment and business fluctuations, the production smoothing theory and the stock-out avoidance theory take contradictory stances. Decision-making related to inventory investments of corporations is thought to be influenced by both motives, but the relative sizes or directions of their respective influences can differ depending upon the phase of the business cycle. Against this backdrop, this paper differs from existing studies in that it theoretically tests the relative significances of the production smoothing and stock-out avoidance motives in the inventory investment dynamics, while placing its analytical focus on determining the existence and patterns of the asymmetric dynamics of inventory investment over the business cycle phases. To this end this paper sets up a non-linear model that is expanded from the existing linear inventory investment model, and checks whether its predictive power is better than that of the existing model. The results of analysis confirm the nature of the asymmetric dynamics of inventory investment over the business cycle phases. A stock-out avoidance motive appears but there is no significant production smoothing motive in boom times. In downturns, in contrast, the stock-out avoidance motive is insignificant, but a quality of asymmetric dynamics in which changes in inventory cause the deepening of recessions, due to the non-convexity of production costs proposed by Ramey (1991), is detected. This paper confirms that a model considering the asymmetric dynamics of inventory investment can have better predictive power than one that does not consider it, through within-sample and out-of-sample predictions and various predictive power tests. These research results are expected to be useful for economic forecasting, through their enhancement of the understandings of the inventory investment dynamics and of the nature of its business cycle destabilization.

• Information Systems Review
• /
• v.23 no.3
• /
• pp.201-223
• /
• 2021

Smart home is an advanced Internet of Things (IoT) service that enhances the convenience of human daily life and improves the quality of life at home. Recently, with the emergence of smart home products and services to which artificial intelligence (AI) technology is applied, interest in smart home is increasing. To gain a competitive edge in the smart home market, companies are providing "personalized service" to users, which is a key service that can promote smart home use. This study investigates the factors affecting the value awareness of personalized service and intention to use smart home. This research focuses on four-dimensional motivated innovativeness (cognitive, functional, hedonic, and social innovativeness) and privacy risk awareness as key factors that influence the value awareness of personalized service of smart home. In particular, this study conducts a comparative analysis between the generation MZ (young people in late teens to 30s), who are showing socially differentiated characteristics, and the generation X and baby boomers in 40s to 50s or older. Based on the analysis results, this study derives the distinctive characteristics of generation MZ that are different from the older generation, and provides academic and practical implications for expanding the use of smart home services.

• Journal of The Korean Association For Science Education
• /
• v.28 no.6
• /
• pp.565-578
• /
• 2008

The purpose of this study is to search for the factors that influence students' understanding of the nature of science through the experience of the cognitive processes of authentic open inquiries. The freshmen of a science high school practiced authentic open inquiries reflecting epistemological characteristics of authentic science. The case study was conducted with four focus students who were successful or unsuccessful at learning the nature of science during the authentic open inquiry activity. Questions that the focus students asked during the inquiries as well as students' answers to pre- and post-VNOS (C type) were analysed, and then elaborated in the semi-structured interview. The findings suggest that open inquiry activities provide the inquiry contexts that help science high school students to understand the nature of science, and that the characteristics of students' cognition influence the understanding of the nature of science. For instance, designing experiments with their own research questions had an influence on the students' understanding about the scientific methods and the diversity of research types, and drawing conclusions from their own data made students experience scientific reasoning. In addition, the experience of collecting anomalous data helped students to understand the role of inferences in generating scientific knowledge and the creative nature of scientific knowledge. In this inquiry context, the reflective thinking that came from proactive discussion among students, made students think about the validity of the designing experiments and interpreting data, and helped them to understand the uncertain nature of reasoning and the diverse nature of scientific methods. Moreover, divergent thinking linked to analogical thinking helped students to understand the creative nature of science.

• Journal of The Korean Association For Science Education
• /
• v.44 no.3
• /
• pp.273-299
• /
• 2024

This is a qualitative research study in which three families focused on scientific culture and conducted the process of forming a family fandom using ethnography. The ultimate goal of science education is the "cultivation of scientifically literate persons.", The researcher examines families who regularly participate in informal science educational programs, such as those offered by the National Marine Biodiversity Institute of Korea, to understand the cultural ans sociological significance of these activities as part of their daily routines. This study analyzes and summarizes the experiences of three families in different home environments as to the completion of the family fandom through the process of self-sustaining cultural practice formation through family education activities, and science activities. This study found that the process tword completion is more meaningful than the completion itself, in the context of science, culture, family and fandom. The findings of this study are as follows: 1) The process of forming a family fandom began with the individual purpose of each family member. 2) The process of fandom formation was created in an organic relationship through the interaction between parents and children, and the self-sustaining cultural practice strengthened the bond and expanded the consensus on scientific culture. 3) Parents and children together share scientific culture, and unique culture in the form of sharing in their own cultural life as becoming scientifically literate people. The self-sustaining cultural practice of selecting and enjoying these scientific activities is not simple consumption of popular culture, but the role of parents as cultural designers. This has conducted experiential consumption as "refined (or sophisticated) cultural consumers," and family leisure activities as meaning production of family members so it has social and cultural implications that can be developed into a scientific culture.

• The Transactions of the Korea Information Processing Society
• /
• v.13 no.4
• /
• pp.199-207
• /
• 2024

Local reservoirs are crucial sources for agricultural water supply, necessitating stable water level management to prepare for extreme climate conditions such as droughts. Water level prediction is significantly influenced by local climate characteristics, such as localized rainfall, as well as seasonal factors including cropping times, making it essential to understand the correlation between input and output data as much as selecting an appropriate prediction model. In this study, extensive multivariate data from over 400 reservoirs in Jeollabuk-do from 1991 to 2022 was utilized to train and validate a water level prediction model that comprehensively reflects the complex hydrological and climatological environmental factors of each reservoir, and to analyze the impact of each input feature on the prediction performance of water levels. Instead of focusing on improvements in water level performance through neural network structures, the study adopts a basic Feedforward Neural Network composed of fully connected layers, batch normalization, dropout, and activation functions, focusing on the correlation between multivariate input data and prediction performance. Additionally, most existing studies only present short-term prediction performance on a daily basis, which is not suitable for practical environments that require medium to long-term predictions, such as 10 days or a month. Therefore, this study measured the water level prediction performance up to one month ahead through a recursive method that uses daily prediction values as the next input. The experiment identified performance changes according to the prediction period and analyzed the impact of each input feature on the overall performance based on an Ablation study.

• Journal of Service Research and Studies
• /
• v.14 no.1
• /
• pp.77-90
• /
• 2024

This research aims to investigate methods of leveraging generative artificial intelligence in service sectors where consumer sentiment and experience are paramount, focusing on minimizing hallucination phenomena during usage and developing strategic services tailored to consumer sentiment and experiences. To this end, the study examined both mechanical approaches and user-generated prompts, experimenting with factors such as business item definition, provision of persona characteristics, examples and context-specific imperative verbs, and the specification of output formats and tone concepts. The research explores how generative AI can contribute to enhancing the accuracy of personalized content and user satisfaction. Moreover, these approaches play a crucial role in addressing issues related to hallucination phenomena that may arise when applying generative AI in real services, contributing to consumer service innovation through generative AI. The findings demonstrate the significant role generative AI can play in richly interpreting consumer sentiment and experiences, broadening the potential for application across various industry sectors and suggesting new directions for consumer sentiment and experience strategies beyond technological advancements. However, as this research is based on the relatively novel field of generative AI technology, there are many areas where it falls short. Future studies need to explore the generalizability of research factors and the conditional effects in more diverse industrial settings. Additionally, with the rapid advancement of AI technology, continuous research into new forms of hallucination symptoms and the development of new strategies to address them will be necessary.

• Smart Media Journal
• /
• v.13 no.4
• /
• pp.94-103
• /
• 2024

The eyeball input system is a text input system designed based on 'eye tracking technology' and 'virtual keyboard character-input technology'. The current virtual keyboard structure used is a rectangular QWERTY array optimized for a multi-input method that simultaneously utilizes all 10 fingers on both hands. However, since 'eye-tracking technology' is a single-input method that relies solely on eye movement, requiring only one focal point for input, problems arise when used in conjunction with a rectangular virtual keyboard structure designed for multi-input method. To solve this problem, first of all, previous studies on the shape, type, and movement of muscles connected to the eyeball were investigated. Through the investigation, it was identified that the principle of eye movement occurs in a circle rather than in a straight line. This study, therefore, proposes a new key arrangement wherein the keys are arranged in a circular structure suitable for rotational motion rather than the key arrangement of the current virtual keyboard which is arranged in a rectangular structure and optimized for both-hand input. In addition, compared to the existing rectangular key arrangement, a performance verification experiment was conducted on the circular key arrangement, and through the experiment, it was confirmed that the circular arrangement would be a good replacement for the rectangular arrangement for the virtual keyboard.

• Journal of Agricultural Extension & Community Development
• /
• v.30 no.4
• /
• pp.243-257
• /
• 2023

Rural life improvement programs (RLIPs) have been implemented with a central goal of improving the quality of rural life and promoting rural welfare and cultural life. However, different factors may influence the effect of rural life improvement programs on rural communities or households. This study aimed to investigate the determinants of perceived effects of RLIPs on quality of life of rural women in South Korea. We used a mixed research design to generate data for this study. We collected survey data from 311 rural women who participated in the RLIPs and also conducted a focus group discussion. We analyzed the quantitative data using descriptive statistics and hierarchical regression to identify the variables that predicted effects of RLIPs on quality of life of rural women. Our study finds that age, type of residence in the community, leadership experience, level of education, community satisfaction and community participation influenced respondents' perceived effects of RLIPs. The results imply that the benefits of a development intervention could not be uniformly reaped by residents of a community.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.4 no.3 s.8
• /
• pp.33-43
• /
• 2005

Traffic condition monitoring system serves as the foundation for all intelligent transportation system operation. Loop detectors and Video Image Processing are the most widely common technology approach to condition monitoring in korea Highways. Lane Usage is defined as the proportion of total link volume served by each lane. In this research, the lane Usage(LU) of two lane link for one day. Interval is 56% : 44%. The LU of three lane link is 39% : 37% : 24%. The LU of four lane link is 25% : 29% : 26% : 21%. These analysis reveal that each lane distributions of link are not same. This research investigates the general concept of lane usage by using collected loop detector data and the investigated that lane distribution is different by traffic lane and lane usage is consistent by time of day.

• Korean Security Journal
• /
• no.41
• /
• pp.153-183
• /
• 2014

Nowadays, proactive intelligence activities are required because of enhanced nation wide threats of terrorism and complexity of multidimensional factors of national security. South Korea not only need to draw up plans of information sharing among agencies for more effective national intelligence activities, but also have to evaluate the structure of Domestic Intelligence Agency and its right direction of activities. In this vein, this paper conducts comparative studies of structures and range of activities of intelligence Agencies by reviewing U.K, U.S.A, and France cases and suggests a potential model of 'domestic information specified agency' that we can adopt and methods to share information among agencies. The focus of this paper is on the reviewing of necessity of establishing new 'domestic information specified agency' which will mainly conduct anti-terrorism and counterintelligence activities, and its appropriate form. After reviewing the cases of U.K, U.S.A. and France, we conclude that overcoming the people's distrust about an invasion of freedom and rights caused by centralized and integrated independent intelligence agency is a prerequisite. Disputable issues of FBI, DHS, and South Korea's intelligence agency cases suggest that plans for restoring trust have to be considered if a new 'domestic information specified agency' is established in NIS. If it is established under government ministries such as MSPA focusing on implementing anti-terrorism and counterintelligence activities, organizations such as NCTC, NIC, that can carry out information sharing and cooperating with agencies concerned have to be established. Additionally, measures to solve structural problems caused by carrying out law enforcement functions by domestic information specified agency should be considered.