• Communications for Statistical Applications and Methods
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• v.9 no.1
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• pp.155-166
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• 2002

Neural networks have been studied as a popular tool for classification and they are very flexible. Also, they are used for many applications of pattern classification and pattern recognition. This paper focuses on Bayesian approach to feed-forward neural networks with single hidden layer of units with logistic activation. In this model, we are interested in deciding the number of nodes of neural network model with p input units, one hidden layer with m hidden nodes and one output unit in Bayesian setup for fixed m. Here, we use the latent variable into the prior of the coefficient regression, and we introduce the 'sequential step' which is based on the idea of the data augmentation by Tanner and Wong(1787). The MCMC method(Gibbs sampler and Metropolish algorithm) can be used to overcome the complicated Bayesian computation. Finally, a proposed method is applied to a simulated data.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.492-499
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• 2002

Technology Management and R&D(Research and Development) have been one of the most difficult divisions for measurement and evaluation. In spite of these difficulties, the concern and importance of R&D has been dramatically increased. However, it is actually very difficult to manage more efficiently and effectively than any other departments of production, finance, marketing and so on. As criticizing the shortcomings of the traditional evaluation system in making decisions for corporate management which has only been focused on financial indices, so Kaplan & Norton has suggested the Balanced Scorecard (BSC) which can be managed Critical Success Factors(CSF) in accordance with corporate's strategy. The Analytic Network Process(ANP), though based on the Analytic Hierarchy Process, allows the decision makers to leap beyond the traditional hierarchy to the interdependent environment of network modeling. Basing on BSC, this study has developed the evaluation system for R&D which has used ANP transforming quantitative and qualitative indices to the quantifying scales in evaluating R&D.

• Industrial Engineering and Management Systems
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• v.12 no.2
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• pp.130-142
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• 2013

Social Networking Service (SNS) is prevailing rapidly in Japan in recent years. The most popular ones are Facebook, mixi, and Twitter, which are utilized in various fields of life together with the convenient tool such as smart-phone. In this work, a questionnaire investigation is carried out in order to clarify the current usage condition, issues and desired functions. More than 1,000 samples are gathered. Bayesian network is utilized for this analysis. After conducting the sensitivity analysis, useful results are obtained. Differences in usage objectives and SNS sites are made clear by the attributes and preference of SNS users. They can be utilized effectively for marketing by clarifying the target customer through the sensitivity analysis.

• Journal of Information Technology Services
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• v.11 no.1
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• pp.305-323
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• 2012

This study examines online social media diffusion across different countries that will help to provide a picture of current global online social network services (SNSs). Analyzing country-level data drawn from 78 nations, we find that non-technological factors such as culture and language as well as technological factors including Internet penetration rate and smartphone adoption rate have significant effects on online social media diffusion. These findings, derived from a broad range of different countries, not only provide theoretical insights into understanding critical factors that enable successful global expansion of online social media services but also help practitioners plan their marketing strategies more effectively in a global context.

• The Korean Journal of Applied Statistics
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• v.20 no.3
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• pp.441-447
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• 2007

The conjoint analysis is widely accepted in the field of marketing as a way to understand and incorporate the structure of customer preferences into the new product design process. We apply the conjoint analysis for understanding preferences about after school computer courses in elementary schools. We show that the artificial neural network analysis in addition to the conjoint analysis is very useful to understand the needs of elementary school students about after school computer courses.

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.39-42
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• 2021

The article examines the opit of foreign authors on the problem distance education, it was found that at present there are many opinions about distance and e-education, but there is no single accepted definition; clarified the definition of distance education in the framework of this work; the main tools of Internet marketing were highlighted, outlined main characteristics, as well as advantages and disadvantages; the tools of promotion on the Internet have been analyzed.

• Journal of Distribution Science
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• v.7 no.1
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• pp.35-53
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• 2009

Sees the market where home appliance and network equipment, the communication service enterprises are new recently the home network market of the most which has an interest in the home network is being activated the newly-built high-class apartment in the center. The company building leads because not being option of the case last customer of newly-built market and must do a business . marketing. So newly-built market the demand grasp which is individual leads sale activation with difficult and that to creates a benefit there is a limit judges and axis market in the object hereafter demand at even the popular house the function to prepare in being magnified is simple and there is a possibility of saying that a more effort is demanded in supply style video phone market opening up where the price is cheap. Saw with like this reason from, analyzes the concept and a market trend of the video phone, grasps distribution channel forms and A/S handling systems and there is the goal finds the video phone sale revitalization plan which is suitable in all market.

• Fashion & Textile Research Journal
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• v.22 no.4
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• pp.469-480
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• 2020

The study investigated the effects of SNS usage on 20s and 30s female SNS users' internalization of thin body, body surveillance, appearance upper comparison, body dissatisfaction and eating disorders based on objectification theory and social comparison theory. The study examined differences on SNS usage and body image variables between high and low groups of SNS envy and self-compassion. Social Network Service (SNS) is used as a contemporary marketing tool for brands and companies. It also influences the body image of female SNS users. The survey used an online survey company for female SNS users in their 20s and 30s to analyze the effect of SNS usage. The results showed that SNS usage significantly impacted the internalization of a thin body, body surveillance and appearance upper comparison. The internalization of thin body also had a significant impact on body surveillance and appearance upper comparison. Appearance upper comparison positively affected body dissatisfaction and eating disorders. Finally, the group with higher SNS envy showed higher SNS usage, internalization of thin body, body surveillance, appearance upper comparison, body dissatisfaction and eating disorders. The group with higher self-compassion showed opposite results. This study provided a theoretical expansion for a SNS and female body image study with objectification theory and social comparison theory. It also suggests positive SNS marketing strategies use for brands. Lastly, this study emphasized the importance of the proper use of SNS to protect the body image of SNS users.

• Journal of the Economic Geographical Society of Korea
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• v.5 no.1
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• pp.25-48
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• 2002

This study is to clarify the effect of changes of cultural industries, specialized products and regional festival, in "Junwon culture region". According to this study, "Junuon culture region", as border region of Koguryo, Baekje, Silla kingdom, which has not constituted its original culture, must develop its own specialized products based on culture and history of the three kingdoms in modern meaning. In 21st century, cultural industry of "Junuon culture region" must emphasize the role of linking of Koguryo culture which consists of major culture in North Korea. Because regional festival of "Junuon culture region" as place marketing is concentrated in spring and autumn, regional festival must be a package type of interregional network. In 21st century, "Junwon culture region" as border region of Koguryo, Baekje, and Silla, must be the peace place of cultural industry with maximized merit and high accessibility at present time. And with development of knowledge and information society, cultural industry estate must bring up regional network centralizing Cheongju city.ng up regional network centralizing Cheongju city.

• Journal of Fashion Business
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• v.23 no.3
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• pp.85-100
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• 2019

This study examines changes in consumer perceptions of fashion shows, which are critical elements in the apparel industry and a means to represent a brand's image and originality. For this purpose, big data in clothing marketing, text mining, semantic network analysis techniques were applied. This study aims to verify the effectiveness and significance of fashion shows in an effort to give directions for their future utilization. The study was conducted in two major stages. First, data collection with the key word, "fashion shows," was conducted across websites, including Naver and Daum between 2015 and 2018. The data collection period was divided into the first- and second-half periods. Next, Textom 3.0 was utilized for data refinement, text mining, and word clouding. The Ucinet 6.0 and NetDraw, were used for semantic network analysis, degree centrality, CONCOR analysis and also visualization. The level of interest in "models" was found to be the highest among the perception factors related to fashion shows in both periods. In the first-half period, the consumer interests focused on detailed visual stimulants such as model and clothing while in the second-half period, perceptions changed as the value of designers and brands were increasingly recognized over time. The findings of this study can be utilized as a tool to evaluate fashion shows, the apparel industry sectors, and the marketing methods. Additionally, it can also be used as a theoretical framework for big data analysis and as a basis of strategies and research in industrial developments.