• International Journal of Costume and Fashion
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• v.4
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• pp.47-61
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• 2004

This study analyzed the buying patterns of American and Korean female college students in terms of criteria for clothing selection； store preferences； criteria for store selection； fashion information sources； expressions of customer dissatisfaction； purchasing frequency and motivations for purchasing clothes. The study was implemented through self-administered questionnaires which were back translated for validity. The samples consisted of 730 female college students majoring in the fields related to clothing and textiles： 310 U.S. and 412 Korean students. Likert scales were used for most measures with 1＝never or very unimportant and 5＝always or very important. Data were analyzed by factor analysis, analysis of covariance, Duncans multiple comparison, and t-test. Results are as follows： 1) Design factor was the most important criteria in clothing selection with no differences between country groups. There were, however, significant differences for psychological exhibition factors, practical and economic factors. 2) Both groups preferred specialty and department stores, with department stores more popular in Korea. 3) Merchandise was the most important store selection criterion and fashion magazines and self-experience were rated as the most important information sources for the both groups. 4) Korean group expressed their dissatisfaction with and observable problem with a product before purchase more often than U.S. group, but the U.S. group was more vocal about color loss or shrinkage after care procedures. 5) Some clear differences between the two countries emerged. Marketers targeting American consumers should pay more attention to practicality and service； to Korean consumers more symbolic meaning of products.

• Journal of the Korean Operations Research and Management Science Society
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• v.22 no.2
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• pp.79-97
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• 1997

Many dispatching rules have been developed for the on-line control of product flow in a job shop. The introduction of a flexible manufacturing system (FMS) has added a new requirement to classical job shop control problem : the selection of machines by parts of different types. An FMS can keep a great deal of information on the status of the system, such as information on what is scheduled in the near future, with great accuracy. For example, the knowledge of the time when the next part will arrive at each machine can be neneficial for the routing. This paper tests the effects of the use of this knowledge for part routing on the parts flow time (sum of the time for waiting and service) under a simple routing procedure- a look-ahead routing procedure. A test under many operating conditions shows that the reduction of part flow time from the cases without using this information is between 1% and 11%, which justifies more study on this routing procedure at real production sites when machine capacity is a critical issue. The test results of this paper are also valid for other highly automated systems such as the semi-conductor fabrication plants for routing when the arrivals of parts in the near future are known.

• The Journal of Korea Robotics Society
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• v.15 no.1
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• pp.48-54
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• 2020

Home robot arms require a payload of 2 kg to perform various household tasks; at the same time, they should be operated by low-capacity motors and low-cost speed reducers to ensure reasonable product cost. Furthermore, as robot arms on mobile platforms are battery-driven, their energy efficiency should be very high. To satisfy these requirements, we designed a lightweight counterbalance mechanism (CBM) based on a spring and a wire and developed a home robot arm with five degrees of freedom (DOF) based on this CBM. The CBM compensates for gravitational torques applied to the two pitch joints that are most affected by the robot's weight. The developed counterbalance robot adopts a belt-pulley based parallelogram mechanism for 2-DOF gravity compensation. Experiments using this robot demonstrate that the CBM allows the robot to meet the above-mentioned requirements, even with low-capacity motors and speed reducers.

• Journal of Distribution Science
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• v.17 no.6
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• pp.65-75
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• 2019

Purpose - Vietnamese customers have a crowd psychology when choosing and buying cars, they believe the advice and comments of those who have used the product. This paper aims to explore how factors in the relation between employees and customers affect to the customer's positive word of mouth (WOM) through customer satisfaction. Research design, data, and methodology - A survey was conducted with 250 customers. This research focus on six factors: (1) familiarity, (2) care, (3) personal connection, (4) employee competence, (5) customer satisfaction, (6) positive WOM. By using Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM), this research determined the impact of relation between eployees and customers to the customer satisfaction in order to have the positive WOM to another customers. Results - This result shows that 3 factors: care, personal connection and service quality, have positive effects to customer satisfaction. Moreover, the similar relationship is found between customer satisfaction and positive WOM. The familiarity is not significant in this research. Conclusions - The research results indicate that positive WOM has an important impact of market development for automobile business enterprises in Vietnam. Therefore, administrators should have appropriate strategies to encourage positive WOM to customers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.3
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• pp.1275-1278
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• 2012

Compositional design and optimization of processing parameters are key factors for controlling and improving the properties of electroconductive ceramic composites. Temperature rising time of sheath heater is 1.1 times faster than SiC ceramic heater. Heating insulation of SiC ceramic heater is 2.7 times larger than sheath heater. If SiC ceramic heater is one body type of a product application, contact resistance will decrease. I think that temperature initial rising time is faster than now. The more SiC ceramic heater is used for a long time, the more economic benefit is larger in the view point of heat insulation.

• Earthquakes and Structures
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• v.12 no.1
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• pp.55-65
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• 2017

Earthquake resilience of substations is essential for reliable and sustainable service of electrical grids. The majority of substation equipment consists of cylindrical porcelain components, which are vulnerable to earthquake shakings due to the brittleness of porcelain material. Failure of porcelain equipment has been repeatedly observed in recent earthquakes. Hence, proper seismic modelling of porcelain equipment is important for various limit state checks in both product manufacturing stage and detailed substation design stage. Sheds on porcelain core and cemented joint between porcelain component and metal cap have significant effects on the dynamic properties of the equipment, however, such effects have not been adequately parameterized in existing design guidelines. This paper addresses this critical issue by developing a method for taking these two effects into account in seismic modelling based on numerical and analytical approaches. Equations for estimating the effects of sheds and cemented joint on flexural stiffness are derived, respectively, by regression analyses based on the results of 12 pieces of full-scale equipment in 500kV class or higher. The proposed modelling technique has further been validated by shaking table tests.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.3070-3075
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• 2010

Through Web 2.0 days, the end users express their opinions and thoughts for blogs and community spaces on the Internet. These opinions and thoughts are used to purchase products, however, users only refer to a few comments not overall opinions. Opinion Analysis System is an opinion search, developed from a natural language search, which analyzes the product's positive or negative evaluations using opinions of products and services on the Internet. In this paper, we suggest a syntactic analysis and inverse processing system that studies and processes 'Positive', 'Negative', 'Neutral' in addition to 'Inverse' information to analyze 'positive' or 'negative' for the core of sentences in Opinion Analysis Service.

• Journal of Korean Library and Information Science Society
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• v.33 no.4
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• pp.61-83
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• 2002

This study is to investigate extensively the complaint responses of the academic library users, with a special regard to those in Daegu Metropolitan City and in Kyungpook Province. It selects and analyzes empirically some of the antecedents of the complaining intentions including perceived severity of dissatisfaction perception of free use, attitude toward complaining, cost of the complaining, likelihood of success, product/service importance, external attributions and loyalty; and complaint intentions including exit intention, voice(redress seeking) intention, negative word-of-mouth intention and third party complaints intention of the academic library users, based on the theoretical backgrounds. Final data through questionnaires are obtained from 582 unsatisfied academic library users in 5 universities in those areas, 542 of them analysed with SPSS 11.0 for Windows.

• Journal of Distribution Science
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• v.18 no.5
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• pp.15-23
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• 2020

Purpose: This research focused on the fact that the Internet platform is integral to IoT products such as Smart home and studied consumer buying decisions when products are sold bundled with internet service. Contrary to the sales strategies of telecommunication companies, some companies sell IoT products alone, for example Google, Kakao, and Naver. In this market situation, the sales strategies of Korean telecommunication companies were analyzed with bundling theory and technology acceptance model, then it was conducted to figure out which sales and distribution strategies could affect consumers' purchase behavior. Research design, data, methodology: Data was collected by149 questionnaires from groups who are familiar with IoT smart home systems, then exploratory factor analysis and regression were used to analyze the research model. Results: The results revealed that the perceived ease of use and the perceived usefulness affect the purchase intention of IoT-based products; however, this effect was not found in the case of bundled products. In other words, it is found that selling and distributing Internet services and IoT products together does not affect consumers' purchases. Conclusion: It is suggested that Korean telecommunications companies' existing sales and distribution strategies for IoT products need to be changed according to its characteristics.

• Knowledge Management Research
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• v.15 no.3
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• pp.121-140
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• 2014

Many firms have been utilizing SNSs such as Facebook and Twitter actively in order to boost interactions with customers that promote product and service innovations and effective marketing. Although positive outcomes of the customer interactions in SNSs are expected, there exist few studies on the effects of interactions between customers and firms in the SNS context. This study empirically examines how customer experiences in multi-dimensional interactions (i.e., pragmatic, sociability, usability, and hedonic interaction) in corporate SNSs influence customer trust in the firm, and how customer learning benefits are associated with firm benefits such as gaining customer trust. The results indicate that all four dimensions of customer interactions in SNSs have significant effects on customer learning benefits, which in turn significantly influence customer trust in the firm. Meanwhile, the results reveal that there are also direct relationships between specific dimensions of customer interactions in SNSs and the two dimensions of customer trust (i.e., ability-based and benevolence/integrity-based). Based on the findings, this study diagnoses the status of corporate SNSs in terms of collaboration with customers and provides practical implications for firms which attempt to capitalize on the multi-dimensional customer interactions in SNSs and to facilitate innovative activities with customers.