• Knowledge Management Research
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• v.24 no.2
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• pp.241-262
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• 2023

The phenomena and game records that occur in sports matches are being analyzed in the field of sports game analysis, utilizing advanced technologies and various scientific analysis methods. Among these methods, social network analysis is actively employed in analyzing pass networks. As football is a representative sport in which the game unfolds through player interactions, efforts are being made to provide new insights into the game using social network analysis, which were previously unattainable. Consequently, this study aims to analyze the changes in pass networks over time for a specific football team and compare them in different scenarios, including variations in the game's nature (Qatar World Cup games vs. A match games) and alterations in the opposing team (higher FIFA rankers vs. lower FIFA rankers). To elaborate, we selected ten matches from the games of the Korean national football team following Coach Bento's appointment, extracted network indicators for these matches, and applied four indicators (efficiency, cohesion, vulnerability, and activity/leadership) from a football team's performance evaluation model to the extracted data for analysis under different circumstances. The research findings revealed a significant increase in cohesion and a substantial decrease in vulnerability during the analysis of game performance over time. In the comparative analysis based on changes in the game's nature, Qatar World Cup matches exhibited superior performance across all aspects of the evaluation model compared to A matches. Lastly, in the comparative analysis considering the variations in the opposing team, matches against lower FIFA rankers displayed superior performance in all aspects of the evaluation model in comparison to matches against top FIFA rankers. We hope that the outcomes of this study can serve as essential foundational data for the selection of football team coaches and the development of game strategies, thereby contributing to the enhancement of the team's performance.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.1251-1262
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• 2011

K-company, being in charge of domestic railway construction and facilities management, got a success rate of 41% with the implement of a improvement scheme by prosecuting of 6 Sigma and the achievement of CTQ (Success criteria : more than 0.5 in achievement of CTQ). It is clear that the factors having an effect on achievement of CTQ are the level of project when pushing forward the project(Big Y and small y according to the scope of the work), the degree of interest of an officer in charge like sponsors, and the continuous feedback toward the implement of a improvement scheme. For improvement CTQ achievement, firstly redefine about a type of project. Secondly, derive small y by Big Y and derives a unit work by small y. Then grouping the unit works and achieve Big Y by performing of every unit work as an executive subject. Thirdly organize a committee of subject selection which is supervised by the general manager. Therefore exhibit staff's leadership, for example motivation, by strong incentives. Lastly, provide ongoing learning and enhance system monitoring about a result management of an betterment execution department.

• Information Systems Review
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• v.13 no.3
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• pp.27-46
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• 2011

Many business managers claim that treasury management is their leading concern. Managing cash flows is the center of treasury management. However, in reality, companies has experienced the difficulty in monitoring and controling this flow initiated by business transactions. To resolve this problem, Webcash Inc. developed an innovative systems called Branch Solution. Branch Solution stands in between banking systems and a company's ERP system to connect them. This system provides the company with an ability to control the financial flow in accordance with the physical flow of materials. Due to this solution many companies accomplish a high efficiency and visibility in their cash management. This study analyses a treasury management case from the perspective of supply-chain processes integration.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.1
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• pp.257-263
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• 2010

We studied about the difference of division public announcements by corporation size and ownership structure from 1999 to 2005. The results is as follow : First, we found most positive numbers in division corporation's CAR. This supports the existing research that corporation division is evaluated positively in the market. We found CAR as largest shareholders' holding more than 40%, which is greater than 0-20% & 20-40%, that shows relatively more negative CAR. So, the exceeded largest shareholders' holding rate (i.e., over 40%) can be a factor for decreasing corporations' value. Also, most positive CAR shows relatively small variation regarding corporation size knowing that big sized corporations have relatively small variation than small sized corporations. Second, we studied about relationship between corporate ownership structure and division public effects and found relatively a little effect by large shareholders, foreign investors' holding variables on division public.

• Journal of Service Research and Studies
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• v.13 no.4
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• pp.191-205
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• 2023

Artificial Intelligence (AI), especially in the domain of text-generative services, has witnessed a significant surge, with forecasts indicating the AI-as-a-Service (AIaaS) market reaching a valuation of $55.0 Billion by 2028. This research set out to explore the quality dimensions characterizing synthetic text media software, with a focus on four key players in the industry: ChatGPT, Writesonic, Jasper, and Anyword. Drawing from a comprehensive dataset of over 4,000 reviews sourced from a software evaluation platform, the study employed the Latent Dirichlet Allocation (LDA) topic modeling technique using the Gensim library. This process resulted the data into 11 distinct topics. Subsequent analysis involved comparing these topics against established AI service quality dimensions, specifically AICSQ and AISAQUAL. Notably, the reviews predominantly emphasized dimensions like availability and efficiency, while others, such as anthropomorphism, which have been underscored in prior literature, were absent. This observation is attributed to the inherent nature of the reviews of AI services examined, which lean more towards semantic understanding rather than direct user interaction. The study acknowledges inherent limitations, mainly potential biases stemming from the singular review source and the specific nature of the reviewer demographic. Possible future research includes gauging the real-world implications of these quality dimensions on user satisfaction and to discuss deeper into how individual dimensions might impact overall ratings.

• Journal of Industrial Convergence
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• v.22 no.8
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• pp.19-28
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• 2024

This study proposes a new method for predicting the wage grades of soccer players using big data and artificial intelligence. Predicting the salaries of soccer players is a crucial task that involves accurately assessing players' performance and potential, and reflecting this in their salaries to enhance the economic efficiency of the soccer industry. This research analyzes player ability data provided by FIFA 22 and employs various big data and artificial intelligence techniques to predict players' salary grades. Key methodologies used include decision trees, artificial neural networks, random forests, and boosting, which were utilized to compare the accuracy of the salary prediction models. The results show that the random forest and boosting methods exhibited the highest prediction accuracy. This study demonstrates the process and utility of using big data and artificial intelligence technologies to predict soccer players' salary grades, offering a new perspective on the soccer industry.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.753-757
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• 2008

The objects of this study are to increase the efficiency and competitiveness for construction management and field supervision by using IT technology which is a trend of construction industry thesedays. Using RFID technology can play an important role to achieve the goal, but it is necessary to research a standard of using frequency, specific, protocol, package method and reading method because it is hard to apply RFID to physical, chemical, environmental specifics. In this study as a part of planning research to standardize, a limitation item Is conducted with RFID tag attached building materials, and RFID Tag goods which solve the restriction are produced to conduct a field application test. From the result, available reading distance is different according to physical and environmental specifics. Furthermore because the different application method and attaching method make a various management efficiency, the current management of construction materials is analyzed and applied to a construction field to provide to various limitation items and recovery plan.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.190-199
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• 2019

This study was conducted to expand the distribution of new technology efficiently by analyzing the structure relationship based on the innovation resistance model and partial least square structural equation model (PLS-SEM). This study selected innovative propensity, relative advantage, compatibility, complexity, trialability, risk, and extension service consisting of educational, technical, and funding services as factors affecting innovation resistance. This study constructed a questionnaire that measured 11 factors including acceptance intention of new technology using 33 indicators. Data was from April to October, 2017, targeting 180 farmers who did not join in projects to spread new technologies of the Rural Development Administration. Results showed the factors positively and significantly affecting innovation resistance include complexity and risk. Innovative propensity did not have any effect on innovation resistance. However, it positively affected acceptance intention of new technology. The service of the extension organizations had a negative effect on innovation resistance, but did not affect acceptance intention of new technology. This study suggests that extension services should promote activities such as education, consulting, publicity and pilot projects related with new technologies in order to minimize the antipathy toward new agricultural technologies.

• The Journal of Society for e-Business Studies
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• v.20 no.2
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• pp.37-71
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• 2015

At present, the importance of organizational effectiveness is highlighted even more as business environment enters into a new type of work setting, the smartwork environment. This new type of work environment could be significantly influential in promoting organizational effectiveness of office administrators who carry out atypical types of tasks in general and are exposed to emotional labor excessively. Organizational effectiveness of office administrators could also be controlled by their concerns at work, their personal values and the increasing demand for work-life balance. The main purpose of this research is to investigate how smartwork environment perceived by office administrators is related with organizational effectiveness. In addition, this research places the focus on how concerns and work-life balance moderate the relationship between smartwork environment and organizational effectiveness. The survey was conducted among 102 office administrators, and data were analyzed by moderated multiple regression analysis method. Job autonomy of smartwork environment showed positive effect on job satisfaction, organizational commitment, and innovative behavior. IT dependence of smartwork environment showed negative effect on job satisfaction and organizational commitment and positive effect innovative behavior. It was found that concerns with impact positively moderate the effects of job autonomy on job satisfaction and innovative behavior; concerns with self negatively moderate the effects of job autonomy on organizational commitment and innovative behavior. Also, it was found that work-life balance moderates the effects of job autonomy on organizational commitment and the effects of IT dependence on innovative behavior. The result of this research can be taken into consideration when a strategic human resource development plan is prepared for office administrators in smartwork environment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.405-412
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• 2018

The budget is an essential tool for the systematic management of the organizational performance and for diagnosing the status of an organization. Effective budget execution is important to hospital management due to the nonprofit nature of hospitals. On the other hand, there are few studies regarding the budgetary slack of hospitals in Korea. The purpose of this study was to investigate the effects of the university hospital budgeting system characteristics on the budgetary slack. For this purpose, the data from 118 staff of a university hospital located in Seoul were collected by self-administered surveys. Frequency analysis, correlation analysis, and multiple regression analysis were carried out using Stata Ver. 14. The main results of this study were as follows. First, information asymmetry has a positive influence on the budgetary slack. Second, budget feedback and budget motivation have a negative effect on the budgetary slack. These findings suggest that the sharing of budget-related information among hospital staff is important for efficient hospital management. In addition, it is necessary to establish ways to enhance the feedback and motivation in budgetary activities for managing the budgetary slack systematically. The major strength of this study is that it draws attention to research concerning the budgetary slack of hospitals in the absence of research on the budgetary slack. The significance of this study was to provide an empirical basis for improving the efficiency of hospital management.