• Smart Structures and Systems
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• v.29 no.1
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• pp.251-266
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• 2022

Structural Health Monitoring (SHM) of critical infrastructure comprises a major pillar of maintenance management, shielding public safety and economic sustainability. Although SHM is usually associated with data-driven metrics and thresholds, expert judgement is essential, especially in cases where erroneous predictions can bear casualties or substantial economic loss. Considering that visual inspections are time consuming and potentially subjective, artificial-intelligence tools may be leveraged in order to minimize the inspection effort and provide objective outcomes. In this context, timely detection of sensor malfunctioning is crucial in preventing inaccurate assessment and false alarms. The present work introduces a sensor-fault detection and interpretation framework, based on the well-established support-vector machine scheme for anomaly detection, combined with a coalitional game-theory approach. The proposed framework is implemented in two datasets, provided along the 1st International Project Competition for Structural Health Monitoring (IPC-SHM 2020), comprising acceleration and cable-load measurements from two real cable-stayed bridges. The results demonstrate good predictive performance and highlight the potential for seamless adaption of the algorithm to intrinsically different data domains. For the first time, the term "decision trajectories", originating from the field of cognitive sciences, is introduced and applied in the context of SHM. This provides an intuitive and comprehensive illustration of the impact of individual features, along with an elaboration on feature dependencies that drive individual model predictions. Overall, the proposed framework provides an easy-to-train, application-agnostic and interpretable anomaly detector, which can be integrated into the preprocessing part of various SHM and condition-monitoring applications, offering a first screening of the sensor health prior to further analysis.

• Journal of Korea Trade
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• v.26 no.7
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• pp.185-202
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• 2022

Purpose - As overseas direct purchase transactions using e-commerce increase, the scale and scope of international trade are diversified, and the transaction volume using online platforms in e-commerce is increasing. The e-commerce market share will become more important because it is not only a medium connecting B2C, but also because it will expand the scope of trade. This study aims to reveal the factors that influence purchase intention according to Korean-Chinese consumers in e-commerce. In addition, the study has comprehensively confirmed the influence between each factor in the e-commerce environment by integrating and analyzing the characteristic factors of online information sources and platforms in one structural equation. Finally, the study confirmed that there is a significant difference in the influence relationship between Korean and Chinese consumers. Through this, the study will contribute to content production in the e-commerce market according to the target market and the expansion of the mutual entry of Korea and China. Design/methodology - This study aims to confirm the mediating effect of the details of the online information source characteristics and platform characteristics when the perceived quality affects purchase intention. It is confirmed that the factors affecting Korean and Chinese consumers differ. Findings - It was confirmed that differences exist according to the group of Korean or Chinese consumers for the entire research model. In the case of Korean consumers, the mediating factors when perceived quality affects purchase intention are expertise, reliability, entertainment, informativity, and convenience; in the case of Chinese consumers, the factors are expertise and informativity. Originality/value - This study proved that Korean and Chinese consumers cannot be regarded as having the same characteristics, and therefore, strategies aimed at each e-commerce market should be differentiated. In addition, although previous studies on online information sources and platform characteristics were not integrated, this study confirmed a significant influence relationship among the factors that could affect purchase intention in the actual e-commerce environment.

• Korean small business review
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• v.41 no.3
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• pp.95-106
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• 2019

The Economic Gab-Jil, where the stronger are forcing the weaker to sacrifice, is not only a serious social problem, but also it exhausts the vitality of the national economy. Especially, the issue of 'cost reduction (CR) of delivery price' in automobile industry, and the issue of 'tolls' and 'retaliating' in the franchise business are becoming more controversial. This paper suggests some measures to rectify the problems by an analysis using a game-theoretic model. One of the ways to change the 'bad equilibrium', where economic Gab-Jil is prevalent, to the 'good equiblium' is to strengthen the bargaining power of the weak by legal and institutional measures. It is also a more market-friendly system that is self-enforcing, where the regulation is automatically enforced by the incentives of the participants, without relying solely on the enforcement power of regulatory or supervisory bodies

• Korea Trade Review
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• v.41 no.5
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• pp.285-304
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• 2016

e-Commerce in Small and Medium-sized Enterprises(SMEs) provides a platform for fair competition between SMEs and large enterprises, and brings economic benefits to SMEs. Thus in the recent years, the e-Commerce in SMEs developed rapidly. However, the overall proportion of e-Commerce in SMEs in China remains low, and many SMEs' decision-makers tend to feel that their business is relatively weak in terms of information construction of scale and financial management, thus they keep the 'wait and see' attitude about the e-Commerce development decisions. Therefore, SMEs are facing three puzzles about e-Commerce application. First, if the companies need to implement e-Commerce, what are the e-Commerce adoption decision factors. Second, what are the successful implementation factors of e-Commerce. And how about the relationship between them. The third is how to measure the implementation effect of e-Commerce. What is the performance evaluation factors of e-Commerce. In this paper, the theoretical and empirical exploration and research are conducted towards these SMEs. Considering the actual situation of SMEs, this paper builds a theoretical model, then puts forward relevant hypothesis. This paper analyzes present influencing factors based on enormous research papers, and finally discovers the critical successful factors in doing business with e-Commerce in SMEs by conducting Structural Equation Modeling. Five critical factors are verified by cases of enterprise by demonstration study. Lastly, we can draw a conclusion that the innovation ability of leaders, the IT support of leaders and e-Commerce strategies are the success factors of e-Commerce for Chinese SMEs.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.2D
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• pp.183-190
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• 2009

In order to improve continuous success and stabilization of high-speed rail in the future, Using Frequency of high-speed rail should be enhanced by improving satisfaction of high-speed rail passenger. High-speed rail is needed to hold the priority in competition means by comparing the traits of service of domestic air lines. This study utilizes structural equation modeling to develop model for estimating factors influencing to service through conducting survey questionnaire. It also uses reliability analysis, correlation analysis, factor analysis to examine the rationalization of items and to establish hypothesis of this research. The results show that KTX contains 'inner service' item that is considered to be ameliorated and that domestic airline present low performance of 'outer service' item. In other words, moving section which partly is under a limited condition is needed to be improved. In addition, access to airport and transfer to other transportations have to be improved as they show the lowest satisfaction.

• The Korean Journal of Franchise Management
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• v.8 no.3
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• pp.7-16
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• 2017

Purpose - Recently, as the franchise market has grown rapidly and competition has intensified, the creation of competitive advantage by companies has become important as a corporate survival strategy. Based on previous studies, this study proposed a theoretical framework for the structural relationship between psychological ownership (organization and job), job performance, and customer orientation. Research design, data, and methodology - This research examines the structural relationship between psychological ownership, job performance, and customer orientation in terms of employees. More specifically, in this model, psychological ownership consists of two sub-dimensions of organization and function. Research models and hypotheses have been developed for this purpose. A total of 409 respondents responded via surveys. 2 out of 409 respondents have been removed and a total of 407 were used for this study. The data were analyzed using frequency analysis, confirmatory factor analysis, correlation analysis, and structural equation modeling with SPSS 21.0 and Amos 21.0 statistical program. Result - The results of the study are as follows. First, psychological ownership (organization and job) has a statistically significant positive effect on job performance. Second, psychological ownership of the job has a statistically significant positive effect on customer orientation. On the other hand, psychological ownership did not have a significant effect on customer orientation. Conclusions - The implications of this study are following as: From the theoretical point of view, this study distinguishes the psychological ownership of employees of a franchise corporate into two dimensions, organization and job, rather than a single dimension. Based on this, we examined the effect of psychological proprieties on job performance and customer orientation. This study also provides several implications. In a fiercely competitive franchise market, it is very important to analyze your employees to gain a competitive advantage over other competitors. It is meaningful to study the employees who work in the franchise. In addition, psychological ownership is an important variable that enhances job performance and leads to customer orientation, so the company needs to pay attention. Therefore, it needs to develop an internal marketing strategy that promotes psychological ownership.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.301-311
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• 2023

In university liberal arts education, learners' achievement goals are an important research topic, and this also applies to liberal arts software education. In this paper, we analyzed changes in learning motivation of learners taking liberal arts software courses according to course classification using a 3 × 2 achievement goal model. The analysis was conducted on a discussion-oriented class taken together by learners receiving credits for different purposes, such as required and elective. As a result, it was confirmed that learners begin the semester with similar achievement goals. However, the avoidance goals of learners taking elective courses decreased, showing a significant difference at the end of the semester. It was a different result from the existing liberal arts software education studies that pointed to mandatory enrollment as the cause of lack of motivation to learn. In addition, it was confirmed that learners who take elective courses relatively focus on achievement rather than competition.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.3
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• pp.119-132
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• 2023

In recent years, the competition for employment among college students has become more intense. It is also the time when strong personal beliefs and will to develop careers are required for successful employment through stable major study. Therefore, in this study, we tried to find out the effect on major attitude and employment efficacy according to the level of aviation safety perception, which is an important issue in the aviation industry. For analysis, survey is conducted targeting college students majoring in aviation service who are enrolled in universities in the metropolitan area and Chungcheong area. To verify the hypotheses of the study, demographic characteristics are identified based on questionnaires, reliability and validity of measurement items are verified, and structural equation model analysis is performed to verify the hypotheses. The analysis results are as follows. First, it is found that safety knowledge and safety consciousness, which are sub-factors of aviation safety perception of college students majoring in aviation service, have a positive (+) effect on subject recognition, learning process recognition, and career recognition of major recognition. Second, subject recognition, learning process recognition, and career recognition, which are sub-factors of major recognition, are found to have a positive effect on major commitment. Third, it is found that major commitment have a positive (+) effect on employment efficacy. Based on the research results, practical support plans and strategies for effective major study and successful employment are presented.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.3
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• pp.121-135
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• 2024

Entrepreneurship is essential in education or courses related to startup. Despite the importance of entrepreneurship, studies on the preceding factors that influence entrepreneurship are insufficient. This study analyzed the relationship between the founder's curiosity and entrepreneurship. In the relationship between curiosity and entrepreneurship, a research model and hypothesis using stress tolerance as a mediation variable was presented and empirically analyzed. As a result of collecting and analyzing data from prospective entrepreneurs and entrepreneurs, it was found that playful inquiry, social curiosity, and pursuit of stimulus had a statistically significant effect on innovation and competition pursuit through stress tolerance. This study is significant in that it analyzed curiosity in multiple dimensions. However, there is a limitation in that the survey is limited to Daegu and Gyeongbuk and the results cannot be generalized.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.33-49
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• 2018

The impact of TV Drama success on TV Rating and the channel promotion effectiveness is very high. The cultural and business impact has been also demonstrated through the Korean Wave. Therefore, the early prediction of the blockbuster success of TV Drama is very important from the strategic perspective of the media industry. Previous studies have tried to predict the audience ratings and success of drama based on various methods. However, most of the studies have made simple predictions using intuitive methods such as the main actor and time zone. These studies have limitations in predicting. In this study, we propose a model for predicting the popularity of drama by analyzing the customer's viewing pattern based on various theories. This is not only a theoretical contribution but also has a contribution from the practical point of view that can be used in actual broadcasting companies. In this study, we collected data of 280 TV mini-series dramas, broadcasted over the terrestrial channels for 10 years from 2003 to 2012. From the data, we selected the most highly ranked and the least highly ranked 45 TV drama and analyzed the viewing patterns of them by 11-step. The various assumptions and conditions for modeling are based on existing studies, or by the opinions of actual broadcasters and by data mining techniques. Then, we developed a prediction model by measuring the viewing-time distance (difference) using Euclidean and Correlation method, which is termed in our study similarity (the sum of distance). Through the similarity measure, we predicted the success of dramas from the viewer's initial viewing-time pattern distribution using 1~5 episodes. In order to confirm that the model is shaken according to the measurement method, various distance measurement methods were applied and the model was checked for its dryness. And when the model was established, we could make a more predictive model using a grid search. Furthermore, we classified the viewers who had watched TV drama more than 70% of the total airtime as the "passionate viewer" when a new drama is broadcasted. Then we compared the drama's passionate viewer percentage the most highly ranked and the least highly ranked dramas. So that we can determine the possibility of blockbuster TV mini-series. We find that the initial viewing-time pattern is the key factor for the prediction of blockbuster dramas. From our model, block-buster dramas were correctly classified with the 75.47% accuracy with the initial viewing-time pattern analysis. This paper shows high prediction rate while suggesting audience rating method different from existing ones. Currently, broadcasters rely heavily on some famous actors called so-called star systems, so they are in more severe competition than ever due to rising production costs of broadcasting programs, long-term recession, aggressive investment in comprehensive programming channels and large corporations. Everyone is in a financially difficult situation. The basic revenue model of these broadcasters is advertising, and the execution of advertising is based on audience rating as a basic index. In the drama, there is uncertainty in the drama market that it is difficult to forecast the demand due to the nature of the commodity, while the drama market has a high financial contribution in the success of various contents of the broadcasting company. Therefore, to minimize the risk of failure. Thus, by analyzing the distribution of the first-time viewing time, it can be a practical help to establish a response strategy (organization/ marketing/story change, etc.) of the related company. Also, in this paper, we found that the behavior of the audience is crucial to the success of the program. In this paper, we define TV viewing as a measure of how enthusiastically watching TV is watched. We can predict the success of the program successfully by calculating the loyalty of the customer with the hot blood. This way of calculating loyalty can also be used to calculate loyalty to various platforms. It can also be used for marketing programs such as highlights, script previews, making movies, characters, games, and other marketing projects.