• East Asian Journal of Business Economics (EAJBE)
• /
• v.12 no.2
• /
• pp.1-7
• /
• 2024

Purpose: This study delves into the application of the Ohlson 1995 valuation model, particularly addressing the intricacies of the "Other information" variable. Our goal is to pinpoint the most suitable variables for substitution within this category, focusing specifically on the Mongolian Stock Exchange (MSE) context. Research design, data, and methodology: Employing data spanning from 2012 to 2022 from 60 MSE-listed companies, we conduct a comprehensive analysis encompassing both financial and non-financial indicators. Through meticulous examination, we aim to identify which variables effectively substitute for the "Other information" component of the Ohlson model. Results: Our findings reveal significant outcomes. While all financial variables within the model exhibit importance, certain non-financial indicators, notably the company's level and state ownership participation, emerge as particularly influential in determining stock prices on the MSE. Conclusions: This study not only contributes to a deeper understanding of valuation dynamics within the MSE but also provides actionable insights for future research endeavors. By refining key variables within the Ohlson model, this research enhances the accuracy and efficacy of financial analysis practices. Moreover, the implications extend to practitioners, offering valuable insights into the determinants of stock prices in the MSE and guiding strategic decision-making processes.

• Journal of Korean Society for Quality Management
• /
• v.52 no.1
• /
• pp.115-133
• /
• 2024

Purpose: The purpose of research is to explore the factors influencing the intention to adopt altcoin investments, based on the Unified Theory of Acceptance and Use of Technology. Through this, it seeks to elucidate the key factors impacting altcoin investment adoption, and provide a comprehensive understanding of the crypto-currency market and investor behavior. Methods: This study analyzed factors affecting altcoin investment intentions using frequency and descriptive analyses, and verified socio-demographic differences with t-tests and ANOVA. Exploratory factor and correlation analyses were conducted for research tool validity and relationship assessment among variables. Hypotheses were tested through regression analysis, integrating control, independent, and moderating variables, along with interaction terms, to establish the model and examine moderating effects. Results: As a result, it is revealed that higher age and experience in crypto-currency investment are associated with intention to invest. Among the independent variables, performance expectancy, social influence, facilitating conditions, and personal innovativeness have positive effects to investment intention to invest, while effort expectancy had a negative effect. The moderating variable, perceived risk, also negatively affected the intention to invest. Notably, significant moderating effects of perceived risk were observed in the relationships between investment intention and both performance expectancy and personal innovativeness. Conclusion: This study provides empirical verification into consumers' intentions to invest in altcoins, offering insights into investors' behavior and decision-making processes based on a practical understanding of altcoin investment acceptance.

• The Research Journal of the Costume Culture
• /
• v.32 no.2
• /
• pp.148-163
• /
• 2024

With the digitalization of production and consumption environments, consumers are no longer merely targets of marketing, but key players in creating value jointly with companies by participating in various decision-making processes. Much virtual content in particular, such as fashion shows, exhibitions, games, social activities, and shopping, which fashion brands implement in virtual worlds, cannot be completed without consumers' active engagement and interaction. Thus, this study considers consumers' participation in virtual content provided by fashion brands as value co-creation in virtual worlds. This study aims to examine how consumer (i.e., consumer smartness) and fashion firm (i.e., perceived intellectual capital) factors influence value co-creation behavior intention in virtual worlds. Data were collected from 410 consumers in their 20s nationwide through an online survey, and a higher-order structural equation modeling analysis was conducted to test the research model. The results showed that both consumer smartness and perceived intellectual capital positively influenced customer participation behavior and citizenship behavior intentions. Specifically, perceived intellectual capital had a greater impact on value co-creation behavior in the virtual world than consumer smartness. The findings provide empirical evidence that the fashion firms' intangible assets and consumers' competence in the digital shopping environment encourage their intentions to co-create value in virtual worlds.

• Journal of Information Technology Applications and Management
• /
• v.30 no.1
• /
• pp.53-70
• /
• 2023

Artificial intelligence has become familiar with modern society, not the distant future. As artificial intelligence and machine learning developed more highly and became more complicated, it became difficult for people to grasp its structure and the basis for decision-making. It is because machine learning only shows results, not the whole processes. As artificial intelligence developed and became more common, people wanted the explanation which could provide them the trust on artificial intelligence. This study recognized the necessity and importance of explainable artificial intelligence, XAI, and examined the trends of XAI research by analyzing social networks and analyzing topics with IEEE published from 2004, when the concept of artificial intelligence was defined, to 2022. Through social network analysis, the overall pattern of nodes can be found in a large number of documents and the connection between keywords shows the meaning of the relationship structure, and topic modeling can identify more objective topics by extracting keywords from unstructured data and setting topics. Both analysis methods are suitable for trend analysis. As a result of the analysis, it was found that XAI's application is gradually expanding in various fields as well as machine learning and deep learning.

• Journal of the Korean Society of Industry Convergence
• /
• v.27 no.4_2
• /
• pp.925-933
• /
• 2024

Identification of potential technology convergence opportunities is crucial to drive innovation and growth in modern enterprises. In this study, we proposed a framework to explore technological convergence opportunities based on CPC code sequences from patents by utilizing the BERT model. We relied on the BERT architecture to train a new model using about 1.3 million patents registered at the Korean Intellectual Property Office, and achieved an accuracy of approximately 73% based on HitRate@10 metric. A case study using patents related to wearable technologies was conducted to demonstrate practicability and effectiveness of the proposed framework. The key contributions of this research include: (1) enabling in-depth analysis that takes into account the complex interactions between CPC codes and contextual variability; (2) enabling the exploration of diverse technology convergence scenarios beyond simple sequential patterns. This study is one of the first studies to apply the BERT model for exploring technology convergence opportunities, and is expected to contribute to the establishment of technology innovation and R&D strategies by providing a more accurate and practical tool for enhancing the speed and efficiency of technology opportunity-related decision-making processes.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.47 no.2
• /
• pp.40-47
• /
• 2024

As environmental concerns escalate, the increase in recycling of aluminum scrap is notable within the aluminum alloy production sector. Precise control of essential components such as Al, Cu, and Si is crucial in aluminum alloy production. However, recycled metal products comprise various metal components, leading to inherent uncertainty in component concentrations. Thus, meticulous determination of input quantities of recycled metal products is necessary to adjust the composition ratio of components. This study proposes a stable input determination heuristic algorithm considering the uncertainty arising from utilizing recycled metal products. The objective is to minimize total costs while satisfying the desired component ratio in aluminum manufacturing processes. The proposed algorithm is designed to handle increased complexity due to introduced uncertainty. Validation of the proposed heuristic algorithm's effectiveness is conducted by comparing its performance with an algorithm mimicking the input determination method used in the field. The proposed heuristic algorithm demonstrates superior results compared to the field-mimicking algorithm and is anticipated to serve as a useful tool for decision-making in realistic scenarios.

• Journal of KIBIM
• /
• v.2 no.1
• /
• pp.1-6
• /
• 2012

With the increased awareness of energy consumption as well as the environmental impact of building operations, architects, designers and planners are required to place more consideration on sustainability and energy performance of the building. To ensure most of those considerations are reflected in the building performance, critical design decisions should be made by key stakeholders early during the design development stage. The application of BIM during building energy simulations has profoundly improved the energy analysis process and thus this approach has gained momentum. However, despite rapid advances in BIM-based processes, the question still remains how ordinary building stakeholders can perform energy performance analysis, which has previously been conducted predominantly by professionals, to maximize energy efficient building performance. To address this issue, we identified two leading building performance analysis software programs, Energy Plus and IES (IES ), and compared their effectiveness and suitability as BIM-based energy simulation tools. To facilitate this study, we examined a case study on Building Performance Model (BPM) of a single story building with one door, multiple windows on each wall, a slab and a roof. We focused particularly on building energy performance by differing building orientation and window sizes and compared how effectively these two software programs analyzed the performance. We also looked at typical decision-making processes implementing building energy simulation program during the early design stages in the U.S. Finally, conclusions were drawn as to how to conduct BIM-based building energy performance evaluations more efficiently. Suggestions for further avenues of research are also made.

• Journal of the Korean Society of Costume
• /
• v.57 no.5 s.114
• /
• pp.123-139
• /
• 2007

Since the late 1980's, the number of research papers published in the Journal of the Korean Society of Costume(JKSC) has increased. The JKSC is usually known for its focus on issues relevant to the aesthetics of dress, fashion design, and the history of Western or Oriental dress. The main goal of this paper is to link the academic importance of the fashion marketing field to the expansion of the journal and society. First, we defined the scope of the fashion marketing field, based on a literature review and general practices of other competitive societies and journals. First, we reviewed the curricula of the fashion marketing field from 49 universities in Korea. Next, we examined the research topics and methodology of 271 papers in the fashion marketing field published in JKSC since its first issue in 1977. By comparing the findings from the curricula and research, we drew conclusions for the fashion marketing field of the journal and society. We found that the approximately 80% of the fashion marketing courses provided at the undergraduate level are related to merchandise planning and selling processes from the company perspective. However, in more than 85% of the research papers, consumer characteristics and decision-making processes were the main focus and were used as key variables. These findings imply that more various methodological approaches are required for the research to enrich the theoretical background which, in turn, can support curricular development in fashion marketing field. The fashion marketing field in JKSC and society should make the most of accumulated knowledge in product design, symbolic aspects of fashion, and the qualitative approach in the research topics of the JKSC and society.

• The Journal of Society for e-Business Studies
• /
• v.9 no.1
• /
• pp.105-122
• /
• 2004

The advance of information technology has changed the business environment, and the business process between the trading partners has been evolved with these changes. However, the business process between trading partners requires human interface for interchanging information or making a decision even though they collaborate each other or are coupled tightly, and this interrupts seamless business processes between them. To overcome this limitations, a new concept of self-integration has been emerged. The self-integration means a true integration among enterprise applications without human interface, and it might be the future direction of integrations. In this study, we introduced the concept of self-integration environment and business process model for supply chain planning. And, we analyzed the negotiation processes and classified the negotiation patterns for integrated supply chain planning in self-integration environment, and then we proposed a generic business process model for negotiation of extended and integrated supply chain planning by integrating the suggested negotiation pattern with business scenarios.

• Journal of Families and Better Life
• /
• v.27 no.1
• /
• pp.89-105
• /
• 2009

A family resilience approach aims to identify and fortify key interactional processes that enable families to withstand and rebound from disruptive life challenges. Walsh(1998) described family belief systems, organizational patterns, and communication processes as the three main keys of family resilience. The purpose of this study was to identify the three key factors of family resilience in case of divorced female single-parent families in Korea. The study participants were seven divorced mothers who were living in the institutional facility for female single-parent families. Using a qualitative approach, in-depth interviews were audiotaped and transcribed verbatim for analysis. The study findings were as follows. First, the participants showed positive thinking rather than fear about the adversity induced by the divorce. They also showed the senses of competence, control, and self-esteem. However, the senses of transcendence and spirituality were barely evident. Second, emotional and economic supports from parents, brothers and sisters, and community networks (i.e., mother-child protection institution, healthy family support center) enhanced the family resilience of the participants. Third, the participants showed clear communication, open emotional expression, and shared decision making. This study suggests that more counseling services and parent education be provided by healthy family support center and institutional facilities as important family resilience factors for divorced female single-parent families who are below the poverty line.