• Proceedings of the Safety Management and Science Conference
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• 2001.05a
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• pp.235-239
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• 2001

The purpose of this study is to develop an insurance system for product quality liability(PQL) by reviewing some legal issues concerning the product liability It is concluded that the purpose and the function of PQL insurance have to be considered with robust experience data for the life of product, quality system of the company, size of company, the number and amount of products produced by a company and the type of company etc. And this article reviews some problems of policy including the possibility of anti-selection and reverse selection.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.7
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• pp.2455-2475
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• 2021

Patient Navigation Program (PNP) is considered as an important implementation of health care systems that can assist in patient's treatment. Due to the feasibility of PNP implementation, a systematic reuse is needed for a wide adoption of PNP computerized system. SPL is one of the promising systematic reuse approaches for creating a reusable architecture to enabled reuse in several similar applications of PNP systems which has its own variations with other applications. However, stakeholder decision making which result from the imprecise, uncertain, and subjective nature of architecture selection based on quality attributes (QA) further hinders the development of the product line architecture. Therefore, this study aims to propose a quality-driven approach using Multi-Criteria Decision Analysis (MCDA) techniques for Software Product Line Architecture (SPLA) to have an objective selection based on the QA of stakeholders in the domain of PNP. There are two steps proposed to this approach. First, a clear representation of quality is proposed by extending feature model (FM) with QA feature to determine the QA in the early phase of architecture selection. Second, MCDA techniques were applied for architecture selection based on objective preference for certain QA in the domain of PNP. The result of the proposed approach is the implementation of the PNP system with SPLA that had been selected using MCDA techniques. Evaluation for the approach is done by checking the approach's applicability in a case study and stakeholder validation. Evaluation on ease of use and usefulness of the approach with selected stakeholders have shown positive responses. The evaluation results proved that the proposed approach assisted in the implementation of PNP systems.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.8
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• pp.1128-1140
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• 2002

As consumers' alternatives in fashion store selection increase, they select different store types to purchase different product types. Therefore, the probability of patronage mix behavior according to product type increases. Understanding consumers patronage mix behavior, finding out the determinant attributes of fashion stores for each product type are important to retailers and marketers for building a successful merchandising and marketing strategies. Most of the previous researches in store selection and patronage assume consumer behavior as single store patronage, and thus relatively little is known about patronage mix behavior. Also, little attention has been given to product characteristics as an important variable in store patronage behavior. The purposes of this study were to determine the effects of product characteristics in consumers patronage mix behavior. In this study, a theoretical model including product characteristics as an intervening variable between store attributes and patronage behavior was developed. A Questionnaire was developed and data were collected form 464 adult women living in Seoul area in Korea. Factor analysis, paired t-test, ANOVA, Duncan test and discriminant analysis were employed to analyze the data. As a result, the suggested model was partially verified. First, the product characteristic was found to have an effect on perceived importance of store attributes and on determinant attributes of stores. Consumers were found to use different evaluative criteria for store attributes when they purchase different product types. Second, the perceived importance of store attributes was determined by consumer characteristics as well as product characteristics. Third, the determinant attributes in store selection were affected not only by the perceived importance of store attributes but also by the type of product to be purchased.

• The Research Journal of the Costume Culture
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• v.7 no.1
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• pp.141-153
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• 1999

To be successful, Korean exporters must understand how importers identify and select suppliers. This empirically based study investigate Korean exporter\`s perceptions of the supply selection criteria and information sources in US importers use. The specific purposes of this study were to identify the importance of the supply selection criteria and information sources and to examine the effects of the amount of export on the supply selection criteria and information sources in US importer use. For this study, data were obtained from Korean exporters by means of self-administered questionnaires. The questionnaires consisted of a series of statements covering a broad of specific selection criteria and information sources and exports\` characteristics including average annual amount of export. Using a base of 312 exporters, data were analysed by using mean, one-way ANOVA, and Ducan test. Major findings if this study summarized as follows; 1) Korean exporters perceived that US importers would place importances on product price, deliverly reliability, product wordsmanship-quality, and length of deliverly lead-time, in orders. Also, the more amount of export was, the higher product wordsmanship-quality, availability of piece goods and trims, and communication channel were importantly rate. 2) Korean exporters considered the third party sources, such as recommendation from trade association and buying office and import agency, as the most important information source in US importer use. Also, There was tendency that the more amount of export was, the more information sources on suppliers was importantly evaluated. From this study, several recommendation were suggested forward to encourage export in international apparel market.

• The Journal of Economics, Marketing and Management
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• v.11 no.1
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• pp.13-19
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• 2023

Purpose: This study aims to determine which optional attributes are more important for the MZ generation when purchasing luxury fashion goods. Although sales are slowing down in all industries due to COVID-9, sales of luxury fashion goods are instead increasing, centered on the MZ generation. Companies are expanding online sales channels and transforming to gain more attention. Research design, data and methodology: Selection attributes are considered to be more crucial, when customers select luxury fashion products such as prestige image, brand awareness, reasonable price, and product quality, were researched and also find the correlation between satisfaction and purchase intention were analyzed. A survey was conducted focusing on the MZ generation, and the contents of the survey were analyzed using the SPSS 22.0 program and the Amos 26.0 program. Results: As a result of the study, selection attributes as prestige image, brand awareness, and product quality were proved to influence significantly on satisfaction. Moreover, the path of satisfaction to purchase intention proved significant. But reasonable price did not influence on MZ generations satisfaction. Conclusions: The research results present the selection attributes of luxury fashion products and provide significant implications when the MZ generation selects the attributes of luxury fashion products.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.130-137
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• 2019

We conducted this study to identify the composition factors for consumers' selection attributes of accommodation applications and to identify the differences in the selection attributes perception of accommodation applications based on demographic characteristics and use status. According to the study, 6 factors were derived as the components of the selectivity of accommodation application and were named convenience, interactivity, economic efficiency, transaction reliability, product reliability and informativeness. And the respondents differed in their selection attributes perception of the accommodation application they used. In particular, it was found that the highest perception of informativeness and interactivity, and the lowest perception of product reliability. Finally, there were differences in the selection attributes perception of the accommodation application they used by demographic characteristics and use status. Based on the results of this study, we should strive to derive the effective marketing strategy needed for travel industry-related companies.

• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.171-177
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• 2019

This paper aims to find the most effective feature selection method for the sake of opinion mining tasks. Basically, opinion mining tasks belong to sentiment analysis, which is to categorize opinions of the online texts into positive and negative from a text mining point of view. By using the five product groups dataset such as apparel, books, DVDs, electronics, and kitchen, TF-IDF and Bag-of-Words(BOW) fare calculated to form the product review feature sets. Next, we applied the feature selection methods to see which method reveals most robust results. The results show that the stacking classifier based on those features out of applying Information Gain feature selection method yields best result.

• Journal of Distribution Science
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• v.21 no.11
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• pp.103-111
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• 2023

Purpose: This research aims to study the selection attributes influencing the purchasing decisions of the MZ generation in online luxury stores and explores the moderating effects of consumer value. The research aims to validate the impact of reasonable pricing, brand reliability, product variety, comprehensive product information, and user-friendly interfaces on customers' decision to purchase products from online luxury stores. Research design, data and methodology: A survey was conducted with 101 participants, and data analysis included exploratory and confirmatory factor analysis, as well as covariance structure model analysis. Results: The findings reveal that brand trust, product variety, and information sufficiency significantly influence brand affect, which in turn influences purchase intention. Additionally, the study identifies that consumers prioritizing hedonic value are more influenced by brand trust and information, while those prioritizing utilitarian value are more responsive to factors like reasonable price, product variety, and ease of use. Conclusions: The study provides insights into the preferences and behaviors of the MZ generation, highlighting their digital proficiency, mobile-centric lifestyle, desire for product variety, price-consciousness, social media influence, and the availability of personalized shopping experiences as factors contributing to their preference for online luxury stores. These findings contribute to understanding consumer behavior and decision-making processes in the context of online luxury shopping.

• Culinary science and hospitality research
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• v.23 no.4
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• pp.10-21
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• 2017

The purposes of this study were to verify the effects of HMR (Home Meal Replacement) selection attributes on satisfaction and loyalty for HMR. In addition, the moderating role of customer value was examined among selection attributes of HMR, satisfaction and loyalty for HMR. Using a convenience sampling method, the data were collected from those who have bought HMR in Seoul and Kyonggi area. After a total of 235 responses were collected, 220 were used for the analyses. The multiple regression analyses were conducted to test the hypotheses. The results are as follows. First, it was found that product practicality and cooking convenience of HMR selection attributes had an effect on satisfaction of HMR but that ingredients safety and package & circulation period did not have an effect on satisfaction of HMR. Second, satisfaction of HMR significantly impacted loyalty for HMR. Third, in low group for customer value, product practicality of HMR selection attributes had an positive effect on satisfaction of HMR, and ingredients safety of HMR selection attributes had an negative effect on satisfaction of HMR. In high group for customer value, cooking convenience of HMR selection attributes had an positive effect on satisfaction of HMR. In low group as high group for customer value, satisfaction of HMR had a greater impact on loyalty for HMR.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.12
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• pp.1169-1172
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• 2006

The prices of chemical products are fluctuated by several factors. The chemical companies can't predict and be ready to all of these changes, so they are exposed to the risk of a profit fluctuation. But they can reduce this risk by making a well-diversified product portfolio. This problem can be thought as the optimization of the product portfolio. We assume that the profits come from the 'spread' between a naphtha and a chemical product. We calculate a mean and a variation of each spread and develop an automatic module to calculate the optimal portion of each product. The theory is based on the Markowitz portfolio management. It maximizes the expected return while minimizing the volatility. At last we draw an investment selection curve to compare each alternative and to demonstrate the superiority. And we suggest that an investment selection curve can be a decision-making tool.