• Journal of Platform Technology
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• v.11 no.3
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• pp.45-55
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• 2023

This paper presents a model that supports decision-makers in the Korean film industry to maximize the success of online movies. To achieve this, we collected historical box office movies and clustered them into types to propose a model predicting each type's online box office performance. We considered various features to identify factors contributing to movie success and reduced feature dimensionality for computational efficiency. We systematically classified the movies into types and predicted each type's online box office performance while analyzing the contributing factors. We used automated machine learning (AutoML) techniques to automatically propose and select machine learning algorithms optimized for the problem, allowing for easy experimentation and selection of multiple algorithms. This approach is expected to provide a foundation for informed decision-making and contribute to better performance in the film industry.

• Journal of Korean Institute of Industrial Engineers
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• v.28 no.2
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• pp.201-215
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• 2002

In this paper, we use a structural equation model to diagnose success factors on commercialization of information and communication technology considering the characteristics of commercialization process in terms of the type of technology, technology provider and technology receiver. The results of our study indicated the following. The transferor's research ability has significant effects on the commercialization by small businesses with low R&D expenditure to sales ratio, and the business management ability plays an important role in the commercialization by the relatively large (over 100 employees) companies with low R&D expenditure ratio. During the commercialization of the technology independently researched by government run institute or university, the transferee's business management ability is crucial to success. To those companies which run the existing business with high R&D expenditure ratio, their ability to utilize technology is essential. When the independently researched technology is used in the new business, the companies' business management ability and the role of technology transfer center are the important factors on the commercialization. Based on these findings, we suggest some strategies to effectively promote R&D efforts for successful commercialization.

• Korea Journal of Hospital Management
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• v.17 no.4
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• pp.167-187
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• 2012

Organizational growth is achieved through the process of finding opportunities in the environment and establishing a business model with internal and external resources. Bestian Hospital, which primarily focuses on saving the lives of patients with severe burns, has enlarged its business domain through deep understanding of burn patients' problems, including pain and complications during treatments, long-term treatments, skin reconstruction, and so on. Now Bestian is accelerating research for development of antipyretics and cosmetics for burn patients. The success of Bestian has been due to utilization of human and material resources that are essential to performance in the medical field. Also, Bestian properly used a management service organization(MSO) model and constructed an information technology(IT) system for supporting its businesses. However, previous successes do not guarantee continued success. Bestian is entering a new domain with different challenges than it has experienced so far, and how it deals with these challenges will decide its future.

• Journal of Korean Society for Quality Management
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• v.43 no.3
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• pp.421-438
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• 2015

Purpose: The purpose of this study was to grasp the level of effects innovative features and quality of the appliance system on organizational performance and ultimately analyze the willingness of the IT staff to adopt an appliance system. Methods: The survey was conducted on 350 vendors' clients and partners who currently use an appliance system from March to May 2014. A total of 331 effective questionnaires were collected and analyzed using PASW18 and SmartPLS. Results: The results show that relative advantage, facilitating condition and trialability and quality factors all had an effect on organizational performance expectations. Further, when an appliance system is adopted, it was shown that cost and reliability emphasized by a vendor did not produce any significant effects on organizational performance expectations. Conclusion: This study is significant as it is the first to combine such models as Innovation Diffusion Theory, Information Systems Success Model, and Unified Theory of Acceptance and Use of Technology with a new external variable. In addition, it illustrated how variables affect the adoption of an appliance system such as a new innovation system.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.285-293
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• 2009

The purpose of this paper is to examine IT governance mediated the effect of human resource capability on information systems outsourcing success. The survey method was used for this paper, and data from a total of 108 companies that were listed greater than $10 million were used for the analysis. And structural equation model was used to analyze the data. The results of this empirical study is summarized as followings. First, human resource capability do not have a direct effect on information systems outsourcing success but IT governance mediates the effect of human resource capability. Second, preparedness capability and relationship capability have positive effect on the IT governance. The findings have significant implications for IT governance in information systems outsourcing.

• Journal of information and communication convergence engineering
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• v.9 no.6
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• pp.637-640
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• 2011

The hybrid neural networks have characteristics such as fast learning times, generality, and simplicity, and are mainly used to classify learning data and to model non-linear systems. The middle layer of a hybrid neural network clusters the learning vectors by grouping homogenous vectors in the same cluster. In the clustering procedure, the homogeneity between learning vectors is represented as the distance between the vectors. Therefore, if the distances between a learning vector and all vectors in a cluster are smaller than a given constant radius, the learning vector is added to the cluster. However, the usage of a constant radius in clustering is the primary source of errors and therefore decreases the recognition success rate. To improve the recognition success rate, we proposed the enhanced hybrid network that organizes the middle layer effectively by using the enhanced ART1 network adjusting the vigilance parameter dynamically according to the similarity between patterns. The results of experiments on a large number of calling card images showed that the proposed algorithm greatly improves the character extraction and recognition compared with conventional recognition algorithms.

• Journal of Information Technology Services
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• v.7 no.1
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• pp.63-87
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• 2008

This study investigates the effects of individual and group level factors on the use of GSS (Group Support System) and task performance from GSS use. GSS facilitates the group work, so that GSS adoption is not necessarily influenced only by individual perceptions on information systems as TAM insists. Adaptive Structuration. Theory (AST) joins with TAM in our study to explain the adoption and success from GSS use. AST contends that the success of IS is not necessarily the technical fit between tasks and technology, instead the political outcome among user socializations. We found that collected data from 303 individual IT staffs in a national bank. Our results demonstrate that traditional theories on TAM (Technology Acceptance Model) need to be refined, when considering the TTF(task-technology fit). TTF render high influences on PU(perceived usefulness). PEU(perceived ease of use) and FOA(faithfulness on appropriation). And FOA influences highly on our dependent variable. Implications and directions for future research are discussed.

• Journal of Technology Innovation
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• v.12 no.3
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• pp.159-177
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• 2004

Technological innovation is one of the critical success factors determining firm's Technological innovation is one of the critical success factors determining firm's value in the knowledge based economy. The study examines whether the information release on technological innovation has information contents in the stock market. The abnormal returns and cumulative abnormal return were calculated by using Market and Risk Adjusted Return Model. The results say that the market positively reacts to the information release of technological innovation on the event date. Especially, the disclosure on technology development causes stable increase of the firm's value. It is concluded that the market reacts favorably to technological innovations.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.113-128
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• 2021

In the rapidly developing 4th industrial revolution. RPA is increasing in use at home and abroad due to its advantages of simplifying workflow and providing flexibility and scalability at the same time. Thus, this paper conducted an empirical study on companies using RPA to determine which factors affect the intention to use the services provided by RPA systems. As system characteristics, exogenous variables were selected as information quality, system quality, and service quality of the information system success model. The endogenous variables were selected as the system acceptance factors for the performance and effort expectancy of the integrated technology acceptance model, and the perceived economic values and functional values were additionally selected. For the purpose of this study, a structured questionnaire was used for empirical analysis and the proposed hypothesis was verified through the path analysis of structural equations. As a result of the study, there was no significant relationship between service quality and effort expectancy, between service quality and economic value, and it was verified that the relationship between other factors was positively significant.

• Knowledge Management Research
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• v.14 no.5
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• pp.15-34
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• 2013

In a turbulent environment, it is important for a firm to obtain competitiveness through acquiring new technologies and new knowledge. Many studies has shown that R&D has positive effects on innovation and performance. However, the limitation of resources and research personnel for SMEs leads to the needs of collaboration between government R&D and SMEs. The quantitative results of government R&D comes in the form of patents or publication of papers while the qualitative results comes in the form of commercialization (revenue increase or cost reduction) of the SMEs acquiring the technology through technology transfer. Korean government invested 16.9 Trillion Won in 2013 and achieved remarkable quantitative results but the qualitative results are still yet to be improved. The technology transfer rate in 2011 was 26.0% while the success rate of commercialization of the transferred technology is only 23.6%. Therefore it is meaningful to study the success factors of the technology commercialization in Korea. In this study, a case of technology commercialization between ETRI and Initech is studied. Initech was a venture firm which started in 1997 with 2 employees and after transfer of technology from ETRI in 1999, it has grown to a firm of 238 employees. In this study, Jolly's commercialization model was used to analyze the success factors of the commercialization. It was shown that four main factors that leads to the success are (1) mobilizing interest and endorsement through customer oriented R&D by ETRI, (2) mobilizing resources for demonstration through systematic technology commercialization process by ETRI, (3) mobilizing market constitutents through government standardization that leads to the reliability of the participants, and (4) mobilizing complementary assets for delivery by management strategies of Initech.