• Proceedings of the Korean Geotechical Society Conference
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• 2010.03a
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• pp.1417-1424
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• 2010

To provide more safe road and better travelling service for Expressway customer, we minimize settlement of bridge backfill and properly repair the occurred settlement. So, we devide this study to two parts one is construction part and the other is management part, in construction part we remove settlement occuring elements and in management part we grasp proper repair time, and then we produce general settlement management program. In construction part, for the purpose of developing construction method of reducing settlement, we developed construction method models and they are composed of abutment back section alteration and backfill material alteration by literature reviews and site investigation of backfill settlement. And then, we carried out laboratory model test and full size field test of some developed models.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.7 no.4
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• pp.68-75
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• 2008

This paper investigates the correlation between surface roughness and gloss of aluminium sheet painted waterborne paint. One customer criterion of automotive quality is the as-painted appearance of the final products. Especially, the current emphasis on control of surface roughness of sanded aluminium sheet has been prompted by the automotive industry's concern with the as-painted appearance. because the influence of such characteristics on paintability, and painted appearance is important in defining outer panel requirements for automobile. This paper is dedicated primarily to the issue of painted appearance and reviews for improvement of roughness. The conclusions are obtained as follows ; 1) Painted aluminium sheet appearance is strongly affected by surface roughness of base-metal and influenced by sand paper and sanding method. 2) The painted appearance of aluminium sheets was determined and related to surface roughness parameters, combination of sand paper.

• Knowledge Management Research
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• v.13 no.2
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• pp.95-109
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• 2012

Changing customer expectation, global competition, and technological requirements force firms to develop agile supply chain capabilities sustaining competitive advantage and business success. To respond, firms are seeking to enhance supply chain agility across the inter-organizational, this study explores the relationship between supply chain competence and supply chain agility on firm performance. The research reviews literature on supply chain capability and classifies capability into two categories as competence and capability based on resource based view and dynamic capabilities. It describes a framework to explore the relationships among supply chain competence (IT flexibility, supply chain flexibility, shared value), supply chain capability (supply chain agility), and firm performance (supply chain performance). The purpose of this study is to find the determinants of supply chain agility and improving firm performance in the perspective of vendor companies. The results indicate strong, positive, and direct relationships between supply chain competence and supply chain agility. Supply chain agility have significant relationships with firm performance. Implication for future research and practice are offered.

• Journal of information and communication convergence engineering
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• v.18 no.1
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• pp.55-60
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• 2020

As personalized customer services create a society that emphasizes the personality of an individual, the number of product reviews and quantity of user data generated by users on the internet in mobile shopping apps and sites are increasing. Such product review data are classified as unstructured data. Unstructured data have the potential to be transformed into information that companies and users can employ, using appropriate processing and analyses. However, existing systems do not reflect the detailed information they collect, such as user characteristics, purchase preference, or purchase priority while analyzing review data. Thus, it is challenging to provide customized recommendations for various users. Therefore, in this study, we have developed a product recommendation system that takes into account the user's priority, which they select, when searching for and purchasing a product. The recommendation system then displays the results to the user by processing and analyzing their preferences. Since the user's preference is considered, the user can obtain results that are more relevant.

• Journal of the Korean Society of Food Culture
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• v.20 no.2
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• pp.243-252
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• 2005

This study identified how family restaurant customers' attitude toward yield management strategies, which include reservation, time, menu, and service factors. Generally, yield management explains how price and dining duration maximize the revenue of family restaurants. There are three ways to improve family restaurant yield; improving table turns, upgrading seat occupancy, increasing price per customer. The 45 items of yield management strategies are developed by literature reviews, web sites analysis, and interviews with family restaurant employers. Factor analysis and reliability analysis from present study found out 11 important factors, which represent the study's dependent variables. Regression analysis may be helpful to test whether demographic and socio-economic factors have relationships with family restaurant customers' attitude toward yield management strategies. As a regression result, gender, family size, age in demographic factors and education and occupation in socio-economic factors have relationships with family restaurant customers' attitude toward yield management strategies significantly.

• Culinary science and hospitality research
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• v.13 no.2
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• pp.35-46
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• 2007

The food service industry is maturing day by day. Nowadays, people recognize the importance of menu. Menu is not just for the communication of information about menu items. It is also an important marketing tool. Past research was about the choice of menu items. However, the colors and legibility of menu are also important. The basic color and legibility of menu may affect the choice of menu items. Also, customers have different preferences when it comes to menu design. In the past, however, food service industry experts did not work closely with menu designers. The next section reviews the research on the chromatology of menu and lettering preferred by customers. In addition, a method to plan the design of menu is suggested.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.330-332
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• 2001

This paper reviews technology for power quality differentiated supply in power system. Since price and power quality has been single goods in the light of customer-side view point but hereafter it is essential for power market to introduce multiple goods which is composed of differentiated combination between them. This paper should like to work out strategy for power quality differentiated supply in domestic power system by comparison characteristics of differentiated background and its relevant various theory.

• Asia-Pacific Journal of Business
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• v.1 no.2
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• pp.1-21
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• 2010

A good brand name is very important for the success of a product. A thoughtful brand name can convey information that can influence potential customers in a positive way. Thus marketers often formulate brand names intended to explicitly or implicitly play a role in influencing customer perceptions. One way of doing this is to have a brand name bearing connotations to a foreign country. In general, prior research on country-of-origin effects has not adequately focused on exploring brand name connotation and its effect on product evaluation. This research presents a conceptual framework for determining if/how brand name connotation to a foreign country affects product evaluation. Specifically, this paper reviews relevant literature pertaining to country-of-origin and brand name connotation, discusses a conceptualization, proposes research hypotheses, and outlines procedures for collecting data to evaluate the proposed hypotheses.

• Annual Conference on Human and Language Technology
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• 2009.10a
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• pp.151-154
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• 2009

인터넷이 크게 발전하면서 현재는 인터넷으로 쉽게 쇼핑을 할 수 있다. 이 때 물건의 구입에 큰 영향력을 미치는 것이 바로 그 물건의 상품평이다. 하지만 실제로 수많은 상품평을 사용자가 일일이 확인하고 판단하는 데에는 많은 시간이 소모된다. 이러한 문제점을 해결하기 위해서 본 논문에서는 상품평 문장을 일반, 긍정, 부정의 세 단계로 나누는 시스템을 제안한다. 감정을 판단하는데 중요한 역할을 하는 품사에 따라 우선순위를 달리하여 자질을 추출한다. 추출된 자질을 사용하여 Paul Graham을 사용하여 가중치를 계산하고 기계학습을 한다. 실험은 일반과 감정(긍정, 부정)으로 분류하는 실험과 긍정과 부정으로 분류하는 실험을 하였다. 실험 결과 품사에 우선순위를 사용하여 만든 시스템이 기본 시스템보다 더 적은 자질을 사용하고 더 높은 성능을 보였다.

• Journal of the Korea Society of Computer and Information
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• v.21 no.11
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• pp.127-134
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• 2016

In this paper, we propose factors that influence on the mobile commerce satisfaction conducted by data mining and a PLS regression analysis. We extracted the most frequent words from mobile application reviews in which there are a large number of user's requests. We employed the content analysis to condense the large number of texts. We took a survey with the categories by which data are condensed and specified as factors that influence on the mobile commerce satisfaction. To avoid multicollinearity, we employed a PLS regression analysis instead of using a multiple regression analysis. Discovered factors that are potential consequences of customer satisfaction from direct requests by customers, the result may be an appropriate indicator for the mobile commerce market to improve its services.