• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.229-231
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• 2012

The supply chain in plant construction project can be defined as a network combined between elements which is engineering, procurement, construction, start-up. For successfully leading construction project, close relation and mutual cooperation should be preceded and Supply Chain Management(SCM) system is needed to improve the relation. In particular, because safety is a top priority for the companies work in the construction of Nuclear Power Plant(NPP), it is necessary to control all parties realated with NPP construction systematically. In this situation, it is important to purchase high-quality equipment in timely manner by developing Integrated cooperative systems. Therefore, this study aimed to propose developing solutions of SCM such as JIT and Envelop Design system, which can reduces difficulties of decision making between the parties involved in the project and will increase the efficiency of the engineering process in NPP.

• The Journal of Society for e-Business Studies
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• v.9 no.1
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• pp.123-137
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• 2004

Despite the increasing interest in web contents and the rapid growth of CMS(Content Management System) market, the studies on the evaluation criteria for determining the purchase of the CMS solution are very rare. We introduce previous researches on the evaluation models of IT solution, and develop new criteria for evaluating CMS solutions. We calculate the relative importance of the evaluation criteria using scores from the IT experts based on the "Pair-wise Comparison" using the AHP. Based on the analyses of IT specialists′ responses, the results of the study show that, among the ten criteria, "the function of content management", "the contribution to the company′s business process" and "the fit with Information Strategic Plan" are the three most important ones over the remaining others. The developed model and criteria for the evaluation of the CMS solutions are expected to contribute on effective purchasing decision of the solutions and their successful implementation.

• Journal of Information Technology Services
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• v.17 no.2
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• pp.165-177
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• 2018

Recently, online commerces are becoming more common due to factors such as mobile technology development and smart device dissemination, and online review has a big influence on potential buyer's purchase decision. This study presents a set of analytical methodologies for understanding the meaning of customer reviews of products in online transaction. Using techniques currently developed in deep learning are implemented Hierarchical Attention Network for analyze meaning in online reviews. By using these techniques, we could solve time consuming pre-data analysis time problem and multiple topic problems. To this end, this study analyzes customer reviews of laptops sold in domestic online shopping malls. Our result successfully demonstrates over 90% classification accuracy. Therefore, this study classified the unstructured text data in the semantic analysis and confirmed the practical application possibility of the review analysis process.

• Korean Journal of Computational Design and Engineering
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• v.14 no.3
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• pp.150-158
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• 2009

In these days, the importance of design becomes increasing and the design aspect that customers decide to purchase products such as television, mobile phone is more important than functional one. And the progress of virtual reality technology enables us to feel the reality from the virtual prototype as the real one. In this paper, we introduce the collaboration design review system consist of MEMPHIS, CORE. We can create a realistic virtual prototype more fastly, conveniently and efficiently using MEMPHIS and carry out the design review through collaboration using CORE. As a result of this study, it would be possible that decision making can be done effectively at early stage of the design process.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.211-220
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• 2004

This paper suggests a collaborative business process between the companies that each has a restricted physical branch in its own area and wants to extend globally sales and delivery service. The companies integrate their business processes for sales and delivery using a shared product taxonomy table. We also suggest a similar product finding algorithm to make the product taxonomy table that defines product relationships to exchange them between the companies. The main idea of the proposed algorithm is using a multi-attribute decision making (MADM) to find the utility values of products in a same product class of the companies. Using the values we determine what products are similar. It helps the product manager to register the similar products into a same product sub-category. The companies then allow consumer to shop and purchase the products at their own residence site and deliver them or similar products to another sites.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.18 no.33
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• pp.45-53
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• 1995

The Purpose of this paper is to describe and demonstrate a quantitative procedure for evaluating alternative material handling systems that are being considered for possible purchase. The procedure considers both quantitative factors(i.e. costs) and qualitative factors(i.e. equipment productivity) that should be considered in the evaluation process. Since these factors are not always quantifiable it is necessary that the procedure be able to quantify all factors in commensurable units. This is accomplished via a modification of the Brown and Gibson model for facility site location and selection. The model was demonstrated via a case example that encompassed the derivation of performance measures for three material handling systems.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.121-132
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• 2017

In this study, there is a purpose of research to secure competitiveness through the effective utilization of intangible corporate resources of founded enterprises. For this research, we conducted a survey on the way the customers who used the products of the BI center and founders less than 7 years evaluated the founded company. Schmitt's empirical element was examined as a theoretical background, and it was examined whether these empirical factors and attitudes acted as a preprocess in the decision-making process as a repurchase intention. The Result of research is as follows. First, It clearly indicated that customer experience and search experience affected the degree of re-purchase. Second, customer's experience (use experience, search experience, contact experience) were grasped with significant influence on customer's attitude. Third, we discovered that customer's attitude had mediated between customer's experience (use experience, search experience) and re-purchase. This research suggests that if we manage empirical factors well, we can increase the degree of re-purchase and cope appropriately with the limitations of small and medium enterprises.

• Journal of Distribution Science
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• v.13 no.12
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• pp.33-40
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• 2015

Purpose - Given an increase in the consumption of plums, prices have fluctuated in an unstable manner, making it difficult for farmhouses to sell the product. This study intends to provide information on the cultivation and sale of plums to consumers, thus enabling producers to utilize relevant information to analyze the types of plums that are preferred and consumed by users. Research design, data, and methodology - In this study, a survey was conducted on plum consumption by a consumer panel established and operated by the Rural Development Administration in December 2009. The objective was to identify the purchasing awareness of plums and to analyze panel data from 2010 to 2013 using a linear regression model, a Tobit model, and a panel regression model to derive the purchase characteristics. Results - The outcome of the survey on plums is as follows. Plums are purchased because they are good for the health (90.6%), which means that most customers purchase plums for their health benefits. When plums are in season, the purchase rate is 94.8%, indicating that most plums are purchased when they are in season and that selling plums when they are out of season is difficult. Therefore, we sell most plums in the correct season, and the rest of the plums need to be processed and then sent to markets. The strongest reason for not purchasing plums is that they are difficult to process for consumption (63.1%), followed by the reason that the fruit is unfamiliar (15.5%). Regarding solutions for increasing the consumption of plums, the answers were as follows: distribute a recipe for plums (36.9%), advertise its effect through TV or the press (31.1%), and develop various processed products (15.6%). When customers decide to pick out plums, the major considerations were freshness (4.43), safe to eat (4.16), price (3.96), size (3.87), brand (3.28), and discount event (2.62). Freshness is important for decision making and safe to eat was more important than price because plums are washed and processed into plum jam. According to the results of the linear regression model, a higher family income results in a higher purchasing amount. However, the amount of plums purchased by a person was reduced if his or her income increased. Compared with individuals who used other purchasing agents on weekdays, those who used the traditional market turned out to purchase a higher amount of plums on the weekdays. Conclusions - Considering that numerous people purchase plums for their health benefits, promoting the consumption of plums is anticipated as being successful if they can be produced safely for consumption and for inclusion in recipes and various processed foods, and to promote eco-friendly agricultural practices.

• Asia Marketing Journal
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• v.13 no.3
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• pp.209-231
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• 2011

Internet is having strong impact on the consumer's decision making process. Information search has been done actively through internet today. The online reviews can be crucial information cue to evaluate the alternarive products. The online WOM(Word-Of-Mouth) effect depends on the characteristics of information sender, receiver, and WOM. This study is to examine the influence of the online word of mouth on the consumer purchase intention and the moderating role of product involvement, consumer regulatory focus and self-efficacy. Positive customer reviews on the products influence the purchase intention positively and negative customer reviews influence it negatively. Moderating role of involvement in the causal relation between the valence of online reviews and purchase intention is tested. In case of positive WOM, it is predicted that purchase intention for high involvement products is higher than that of low involvement. In case of negative WOM, purchase intention for high involvement product is lower than that of low involvement product. And this study invetigate the moderating role of regulatory focus. In case of positive WOM, it is predicted that promotion focus oriented consumers have higher purchase intention than prevention focus oriented consumers. In case of negative WOM, prediction is that prevention focus oriented consumers have lower purchase intention than promotion focus oriented consumers. Then we examine the moderating role of self efficacy in the causal relation between the valence of online reviews and purchase intention. In case of positive WOM, it is predicted that consumers with low self efficacy have higher purchase intention than consumers with high self efficacy. In case of negative WOM, it is predicted that consumers with low self efficacy have lower purchase intention than consumers with high self efficacy. Emprical results support our prediction and four hypotheses derived from our conceptual framework are all accepted. This study suggest that the level of product involvement, consumer regulatory focus and the level of self-efficacy influence the consumer responses of the valence of online reviews. Therefore marketers need to manage online reviews based on the level of product involvement, regulatory focus orientation and the level of self-efficacy of target consumers.

• The Journal of Society for e-Business Studies
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• v.16 no.4
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• pp.241-256
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• 2011

The present study examines the impact of eWOM on consumer decision making process by viewing eWOM as the product information supplier. We employ the concept of information entropy which was proposed in the information theory to explain different consumer responses to various types of product information in eWOM. Information entropy is the degree of uncertainty associated with the information in the message. In eWOM, a variety of information with different levels of entropy is available, and these different entropy levels result in different impacts on consumer behavior. The preliminary hypotheses are formulated to examine the impact of eWOM on consumer behavior, at the product attribute level and the purchase action level separately. An experiment was conducted to online shopping mall users and the analysis gives valuable insights into our future research.