• Asia pacific journal of information systems
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• v.30 no.2
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• pp.420-438
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• 2020

Recently, with the advance of the wireless Internet access via mobile devices, a myriad of game development companies have forayed into the mobile game market, leading to intense competition. To survive in this fierce competition, mobile game developers often try to get a grasp of the rapidly changing needs of their customers by operating their own official communities where game users freely leave their requests, suggestions, and ideas relevant to focal games. Based on the heuristic-systematic model (HSM) and the data quality (DQ) framework, this study derives key content, non-content, and hybrid cues that can be utilized when game developers accept suggested postings in these online communities. The results of hierarchical multiple regression analysis show that relevancy, timeliness, amount of writing, and the number of comments are positively associated with mobile game developers' knowledge adoption. In addition, title attractiveness mitigates the relationship between amount of writing/the number of comments and knowledge adoption.

• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.15-26
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• 2020

This study examined the effects of a social tourism information platform on platform users' experiential value and e-loyalty and performed an empirical analysis with the aim to propose methods and implications regarding what strategies can enable practical application for sustainable growth in the operation of a social tourism information platform in the future tourism industry. The results of the analysis are as follows. First, the analysis supported the hypothesis that sub-factors of a social tourism information platform, such as interactivity, information reliability, and usefulness, have statistically significant positive effects on experiential value. Second, the analysis did not support the hypothesis that the sub-factors of a social tourism information platform, such as interactivity, information reliability, and usefulness, have statistically significant positive effects on e-loyalty. Third, the analysis supported the hypothesis that experiential value has a statistically significant positive effect on e-loyalty. Consequently, tourism companies should improve customers' experiential value by supplementing their existing platforms, considering the interactivity, information reliability, and usefulness of users based on these characteristics of social tourism information platforms. To increase e-loyalty to their social tourism information platforms, tourism companies should clearly and rapidly provide the information needed by users in addition to improving the visual design of such platforms. Moreover, to increase e-loyalty, the companies can incorporate their own killer content into platforms for users to have an enjoyable time, using platforms that stimulate their interest and give pleasure and fun, and this way, they can satisfy the users' needs for experiential value.

• 대한공업교육학회지
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• v.43 no.1
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• pp.134-157
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• 2018

This study surveyed and analyzed satisfaction and issues about an intellectual property education system, and educational needs for intellectual property NCS (intellectual property management, intellectual property information survey analysis, intellectual property assessment trade), in order to introduce and operate NCS-based education system that trains practical manpower in the field. The results of this study are as follows. First, satisfaction for intellectual property education system showed education contents (M=3.86), followed by lecture (M=3.79), teaching method and environment (M=3.66) and education assessment (M=3.50). The issues to be improved are low application in the current occupation due to no reflection of demands of industrial fields, as well as insufficient education contents system, lectures who fall short of education capability and interactions with students tend to stress theoretical knowledge more than practical ability, teaching method lacks application of educational medium, insufficient interest and motivation, assessment methods that fall short of theoretical knowledge and practical ability achievement, and that is theory-centered. Second, educational needs for intellectual property NCS showed intellectual property assessment trade (4.33), followed by intellectual property management (3.68), and intellectual property information survey analysis (2.99), which should be reviewed to reform or newly develop NCS-based education course. Conclusively, intellectual property education showed satisfaction above the average, but a job-centered education is demanded to elevate application in the industrial field, which puts emphasis more on practical ability than theory. For this, it is necessary to introduce intellectual property NCS reflecting demands of industrial field, and to reform or newly develop into NCS-based education course. In addition, intellectual property education needs to be operated by changed education paradigm, such as user-centered teaching method, not provided-centered, and performance and course-centered assessment method, not theoretical knowledge-centered.

• International Commerce and Information Review
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• v.13 no.3
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• pp.275-298
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• 2011

In 2010, it appears that Korean economic growth rate heavily depends on its international trade. Thus, a sustainable growth of the international trade is very important to Korea. To increase export, a continuous making profits is the most important to companies and TSO(Trade Support Organization) needs to provide a trade support services to the exporting firms. In this context, this study aims to provide a comprehensive analysis of the correlation between company performance and service quality, utilization and customer satisfaction of TSO. Some implications from the results of this study are suggested. First, TSO needs to boost the utilization of its services by enhancing systemizing, reliability and empathy of its service qualities. And then, TSO needs to encourage companies to focus on export-oriented business mind, since these companies have tendency to show a better practical application and high degree of performance as well. Third, TSO needs to develop some exceptional services for the companies with the low weight of export in turnover since those groups tend to have higher customer satisfaction. Our major findings contribute to the trade support service planning of TSO.

• Management & Information Systems Review
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• v.37 no.2
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• pp.283-297
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• 2018

This research focuses on the perceived marketplace influence(PMI: A belief that recognizes the effect that an individual's actions will have on the behavior of other consumers in the market and thus drives them to act on fair trade consumption) of consumers who may act as a more fundamental explanatory alternative to the gap in attitudes and behaviors of fair trade products. The purpose of this study is to investigate the relationship between consumer's self - determination psychological needs (autonomy, competence, relevance), influence (personal influence, market influence), and the assets of fair trade products. As a result of the empirical analysis, it was found that among the major psychological needs related to self-determination, the variables other than competence and the perceived influence relations of consumers can be directly formed, and the perceived consumer effectiveness(PCE) has a positive influence on perceived marketplace influence(PMI). It is also found that the perceived influence of consumers(PCE, PMI) has an influence on the consumers' perceived equity of Fair Trade products. The results of this study will provide an opportunity to theoretically explain the gap between consumers' attitudes and behaviors of Fair Trade products, which is a part of ethical consumption, and provide important implications for the establishment of marketing strategies.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.4
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• pp.197-212
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• 2019

The purpose of this study is to identify the maturity stages of venture firms through classification analysis, which is widely used as a big data technique. Venture companies should develop a competitive advantage in the market. And the maturity stage of a company can be classified into five stages. I will analyze a difference in the growth stage of venture firms between the survey response and the statistical classification methods. The firm growth level distinguished five stages and was divided into the period of start-up and declines. A classification method of big data uses popularly k-mean cluster analysis, hierarchical cluster analysis, artificial neural network, and decision tree analysis. I used variables that asset increase, capital increase, sales increase, operating profit increase, R&D investment increase, operation period and retirement number. The research results, each big data analysis technique showed a large difference of samples sized in the group. In particular, the decision tree and neural networks' methods were classified as three groups rather than five groups. The groups size of all classification analysis was all different by the big data analysis methods. Furthermore, according to the variables' selection and the sample size may be dissimilar results. Also, each classed group showed a number of competitive differences. The research implication is that an analysts need to interpret statistics through management theory in order to interpret classification of big data results correctly. In addition, the choice of classification analysis should be determined by considering not only management theory but also practical experience. Finally, the growth of venture firms needs to be examined by time-series analysis and closely monitored by individual firms. And, future research will need to include significant variables of the company's maturity stages.

• Journal of Korean Society for Geospatial Information Science
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• v.12 no.2 s.29
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• pp.61-66
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• 2004

By the advent of the high-resolution Satellite imagery, there are increasing needs in image mosaicking technology which can be applied to various application fields such as GIS(Geographic Information system). To mosaic images, various methods such as image matching and histogram modification are needed. In this study, automated image mosaicking is performed using image matching method based on the multi-resolution wavelet analysis(MWA). Specifically, both area based and feature based matching method are embedded in the multi-resolution wavelet analysis to construct seam line.; seam points are extracted then polygon clipping method are applied to define overlapped area of two adjoining images. Before mosaicking, radiometric correction is proceeded by using histogram matching method. As a result, mosaicking area is automatically extracted by using polygon clipping method. Also, seamless image is acquired using multi-resolution wavelet analysis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.1027-1031
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• 2006

Recently, mobile-type analysis system when emergency patient can check his blood condition in the transportation or vessel has being required. Under the present system, it takes lots off-time to know the blood analysis result of patient, so, it may lead to a dangerous situation. But, in this study, analysis time makes to fall down to $1{\sim}min$. to emergency treatment patient more quickly, and you can check the information by wireless PC through Bluetooth base. It is able to measure in about 7minutes from 25minutes of warming-up time in existing facilities by testing temperature peculiarity curve, to operate system without error even minute temperature change by adoption DUAL heating. And Bluetooth base was adopted to reduce power consumption and be able to hospital networking by keeping and sending analyzed data when it needs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.1
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• pp.98-115
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• 2012

New trend called ubiquitous leads the recent business by standardization and integration. It should be the main issue how to guarantee the integration and accountability on each business, especially in mission critical system which is mainly supported by M2M (Machine to Machine) control mechanism. This study is from the analysis of digital forensics case study that is from the M2M Sensing Control Mechanism problem of the "Imjin River" case in 2009, where a group of family is swept away to death by water due to M2M control error. The ubiquitous surroundings bring the changes in the field of criminal investigation to real time controls such as M2M systems. The needs of digital forensics on M2M control are increasing on every crime scene but we suffer from the lack of control metrics to get this done efficiently. The court asks for more accurately analyzed results accounting high quality product development design. Investigators in the crime scene need real-time analysis against the crime caused by poor quality of mission critical systems. It seems to be every need of Real-Time-Enterprise, so called ubiquitous society on the case. We try to find the efficiency and productivity in discovering non-functional design defects in M2M convergence products focusing on three metrics in study model with quick implementation. Digital forensics system in present status depends on know-how of each investigator and is hard to expect professional analysis on every field. This study set up a hypothesis "Co-working of professional investigators on each field will qualify Performance and Integrity" especially in mission critical system such as M2M and suggests "Online co-work analysis model" to efficiently detect and prevent mission critical errors in advance. At the conclusion, this study proved the statistical research that was surveyed by digital forensics specialists around M2M crime scene cases with quick implementation of dash board.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.857-866
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• 2022

The current study is a meta analysis study to identify the factors related to infection management performance and the effect size according to the factors. Data collection was included from the data of KMBASE, RISS, KISS, DBpia, National Library of Korea, Pubmed, and EMBASE. R3.5.1 was used for the data analysis. A total of 22 factors were identified. The meta analysis showed the effect size as follows: gender(.16), age(.30), education(.32), beds(.28), needs of education in infection management(.44), participating in education of infection management(.25), recognition/knowledge in infection management(.70). Based on the findings, evidence based programs need to be provided to improve the infection management performance of health workers at Long-Term Care Hospitals.