• Journal of Digital Convergence
• /
• v.9 no.1
• /
• pp.37-49
• /
• 2011

The purpose of this study is to develop a new equipment acceptance model in the industrial market and test it empirically using a field survey. To define new equipment acceptance factors of employees in the organization, we used the TAM as a useful model to analyze the acceptance process of new equipment. All of the data for the TAM were collected from the employees. Prior research studied the usage of general information technology using a computer and particular software, while we apply the TAM to the new equipment adoption. In this study, both theoretical review and empirical study were conducted and the model was set through the theoretical study which was tested through the empirical analysis. Management support and training/education were shown to have a positive effect on PU and PEOU. Personal innovativeness, management support, perceived usefulness and perceived ease of use were shown to have a positive effect on behavioral intention.

• Journal of Korea Multimedia Society
• /
• v.25 no.8
• /
• pp.1085-1096
• /
• 2022

The manufacturing industry is continuously pursuing advanced technology and smartization as it converges with innovative technology. Improvement of manufacturing productivity is achieved by monitoring, analyzing, and controlling the facilities and processes of the manufacturing site in real time through a network. In this paper, we proposed a new OPC-UA based digital twin model for smart factory facilities. A testbed system for USB flash drive packaging facility was implemented based on the proposed digital twin model and OPC-UA data communication scheme. Through OPC-UA based digital twin model, equipment and process status information is transmitted and received from PLC to monitoring and control 3D digital models and physical models in real time. The usefulness of the developed digital twin testbed system was evaluated through usability test.

• International journal of advanced smart convergence
• /
• v.13 no.2
• /
• pp.265-275
• /
• 2024

Smart factory is a remarkable development from traditional manufacturing systems to data-based smart manufacturing systems that can connect and process data continuously, collected from machines, production equipment to production and business processes, capable of supporting workers in making decisions or performing work automatically. Smart factory is the key and center of the fourth industrial revolution, combining improvements in traditional manufacturing activities with digital technology to help factories achieve greater efficiency, contributing to increased revenue and reduce operating costs for businesses. Besides, the importance of smart factories is to make production more quality, efficient, competitive and sustainable. Businesses in Vietnam are in the process of learning and applying smart factory models. However, the number of businesses applying the pine factory model is still limited due to many barriers and difficulties. Therefore, in this paper we conduct a survey to assess the needs and current situation of businesses in applying smart factories and propose some specific solutions to develop and promote application of smart factory model in Vietnamese businesses.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.42 no.3
• /
• pp.116-130
• /
• 2019

This study investigates passenger-authored online reviews of airline services using social network analysis to compare the differences in customer perceptions between full service carriers (FSCs) and low cost carriers (LCCs). While deriving words with high frequency and weight matrix based on the text analysis for FSCs and LCCs respectively, we analyze the semantic network (betweenness centrality, eigenvector centrality, degree centrality) to compare the degree of connection between words in online reviews of each airline types using the social network analysis. Then we compare the words with high frequency and the connection degree to gauge their influences in the network. Moreover, we group eight clusters for FSCs and LCCs using the convergence of iterated correlations (CONCOR) analysis. Using the resultant clusters, we match the clusters to dimensions of two types of service quality models ($Gr{\ddot{o}}nroos$, Brady & Cronin (B&C)) to compare the airline service quality and determine which model fits better. From the semantic network analysis, FSCs are mainly related to inflight service words and LCCs are primarily related to the ground service words. The CONCOR analysis reveals that FSCs are mainly related to the dimension of outcome quality in $Gr{\ddot{o}}nroos$ model, but evenly distributed to the dimensions in B&C model. On the other hand, LCCs are primarily related to the dimensions of process quality in both $Gr{\ddot{o}}nroos$ and B&C models. From the CONCOR analysis, we also observe that B&C model fits better than $Gr{\ddot{o}}nroos$ model for the airline service because the former model can capture passenger perceptions more specifically than the latter model can.

• The Korean Journal of Financial Management
• /
• v.25 no.1
• /
• pp.177-196
• /
• 2008

The megatrend of convergence in finance, telecommunication, and service industries is being spread over the whole industry. It has generated various kinds of contractual alliance or joint venture. Our paper builds a theoretical model for the profit sharing between two firms that participate in a joint venture. The model shows how the profit sharing rule affects the incentives of the participants, and, eventually, the efficiency. We derive the first-best solution of the profit sharing, where no incentive distortion exists. Then, we compare the incentive-affecting cases with the first best outcome, and assess the efficiency and the fairness of distribution. Our analysis shows that if we properly design the decision-making structure on transfer price and production quantity, we can reach the socially optimal efficiency.

• Journal of the Korea Convergence Society
• /
• v.11 no.10
• /
• pp.329-335
• /
• 2020

The purpose of this study is to examine how the motivational factors for beauty waxing affect the waxing care intention through information search types. To this end, a research model was established and 160 response data obtained by conducting a questionnaire survey on adult men and women in Seoul and Gyeonggi Province were used for structural model analysis. As a result, it was found that the motivational factors (i.e., interest, importance, and other's eye) for beauty waxing influenced the waxing management intention through the information search type (i.e., exploration and observation). This study has expanded the academic field of beauty by exploring the predecessors of waxing care intention and its process, and it has implications that it can practically improve understanding of potential users of beauty waxing. It is thought to be able to contribute to the activation of the waxing market.

• Journal of Convergence for Information Technology
• /
• v.8 no.5
• /
• pp.211-217
• /
• 2018

The purpose of this paper is to explore the possibility and strategic directions of Korean agriculture in the future by analyzing domestic and foreign successful cases leading to the 6th industrialization of agriculture by utilizing 4th Industrial Revolution technologies. To do this, we surveyed the key technologies of the 4th Industrial Revolution, and examined successful cases of the US, Korea and China. As results of these case studies, we recognized that 4th Industrial Revolution technologies could play important roles in the 6th industrialization of agriculture, and suggested meaningful strategic implications using ABCD model.

• Journal of the Korea Convergence Society
• /
• v.10 no.6
• /
• pp.157-164
• /
• 2019

This research examines how IoT makes a significant contribution to the innovation of media firms. The media firms will be able to find new reveue sources and strengthen firms' competence through innovating product, process and business model. While IoT increases the experience of interactivity and immersion for consumption, it improves the way ads are exposed and its impact is measured, leading to revenue increase. For these benefits fulfilled, innovation friendly media eco-system must be established. It is the most critical that media firms should change skeptical attitude toward IoT's potential and actively invest it to employ IoT. The government should create regulatory framework to best utilize the innovative advantages of IoT.

• Journal of Industrial Convergence
• /
• v.15 no.2
• /
• pp.7-16
• /
• 2017

The 6th industrialization of agriculture, which promotes the virtuous cycle of creating new value with through the convergence integration of agriculture and contributing to the vitalization of local economy etc. Accordingly, the purpose of this research is to provide implication for the efficiency, vitalization of domestic 6th industrialization per regions Analysis is use of the "2015~2016 Food Agriculture 6th Industrialization Basic Reality Survey Research" report data. As an analytical method DEA(Data Envelopment Analysis), Tobit model were used for results. The following are the summary of hypothesis test. First, 6th industrialization of agriculture identify improve income growth and increase efficiency, Second, Efficiency influence factor analysis shows have a minus (-) relation that yearly rural population increase rate, and secondary industry participation rate. Third, 6th industrialization recognition of the business is plus(+) relation influenced. Through this research, There may be a limit of research data and qualitative factor etc, explanatory power, but it is meaningful in the sense that objective implication was drawn for the enhancement of the 6th industrialization per regions.

• Journal of Convergence for Information Technology
• /
• v.11 no.9
• /
• pp.84-93
• /
• 2021

The purpose of this study is to analyze whether the spread of COVID-19 infectious diseases acts as a fear to investors and affects the direction and volatility of stock returns. The investor fear index was proposed using the domestic confirmed patient information of COVID-19, and the influence on stock prices was empirically analyzed. The direction and volatility models of stock prices used the Granger causality and GARCH models, respectively. The results of empirical analysis using the KOSPI index from February 20, 2020 to June 30, 2021 are as follows: First, the COVID-19 fear index showed causality to future stock prices. Second, the COVID-19 fear index has a negative effect on the volatility of KOSPI index returns. In future studies, it is necessary to document the cause by using individual business performance and stock price instead of the stock index.