• Korean Journal of Computational Design and Engineering
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• v.18 no.1
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• pp.36-48
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• 2013

In general, the product is used under several circumstances including environmental and usage conditions. According to the circumstances, the product has various performance degradation processes. In order to optimize the lifecycle of product usage, it is important to observe the degradation process and make suitable decisions on product operations. However, there are not much research works in evaluating the degree of product degradation based on product usage data. Recently, due to emerging ICT (Information and Communication Technology) technologies, it becomes possible to get the product usage data. Based on the gathered data, it is possible to analyze the degree of product degradation. The analysis of product usage data can improve product use and product design with advanced decisions. To this end, this study addresses one approach based on FMEA/FMECA method, called PDMCA (Performance, Degradation Modes and Criticality Analysis) for evaluating product degradation status and making suitable decisions.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.2
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• pp.84-94
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• 2018

In recent years, the diminishing of operation and maintenance cost using advanced maintenance technology is attracting many companies' attention. Especially, the heavy machinery industry regards it as a crucial problem since a failure of heavy machinery requires high cost and long downtime. To improve the current maintenance process, the heavy machinery industry tries to develop a methodology to predict failure in advance and to find its causes using usage data. A better analysis of failure causes requires more data so that various kinds of sensor are attached to machines and abundant amount of product usage data is collected through the sensor network. However, the systemic analysis of the collected product usage data is still in its infant stage. Many previous works have focused on failure occurrence as statistical data for reliability analysis. There have been less works to apply product usage data into root cause analysis of product failure. The product usage data collected while failures occur should be considered failure cause analysis. To do this, this study proposes a methodology to apply product usage data into failure cause analysis. The proposed methodology in this study is composed of several steps to transform product usage into failure causes. Various statistical analysis combined with product usage data such as multinomial logistic regression, T-test, and so on are used for the root cause analysis. The proposed methodology is applied to field data coming from operated locomotive and the analysis result shows its effectiveness.

• Asia pacific journal of information systems
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• v.16 no.3
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• pp.159-176
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• 2006

Collaborative filtering is one of the popular techniques for personalized recommendation in e-commerce. In collaborative filtering, user profiles are usually managed per product category in order to reduce data sparsity. Product diversification of Internet storefronts and multiple product category sales of e-commerce portals require cross-product category usage of user profiles in order to overcome the cold start problem of collaborative filtering. In this paper, we study the feasibility of cross-product category usage of user profiles, and suggest a method to improve recommendation performance of cross-product category user profiling. First, we investigate whether user profiles on a product category can be used to recommend products in other product categories. Furthermore, a way of utilizing user profiles selectively is suggested to increase recommendation performance of cross-product category user profiling. The feasibility of cross-product category user profiling and the usefulness of the proposed method are tested with real click stream data of an Internet storefront which sells multiple product categories including books, music CDs, and DVDs. The experiment results show that user profiles on a product category can be used to recommend products in other product categories. Also, the selective usage of user profiles based on correlations between subcategories of two product categories provides better performance than the whole usage of user profiles.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.3
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• pp.629-637
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• 2001

The objective of this study was to identify the cultural characteristics affecting advertising contents of the consumer products. Hofstedes(1991) five cultural characteristics such as individualism-collectivism, power distance, masculinity-feminity, avoidance of uncertainty, confucian dynamism were used. Ten kinds of consumer products were included and data were collected from France, Japan, Korea, and U. S. during 1999∼2000. All ads were evaluated and compared their cultural characteristics in terms of country, product involvement and usage, and magazine type. ANOVA, Duncan test, and Pearson correlation-coefficient were applied to analyze data. The results were shown as follows: First, most ads tended to be individual, less power oriented, feministic, and showed high tendency of uncertainty avoidance as well as long term confucianism for all the countries. And some cultural characteristics were different among countries. Japan, France, U. S. and Korea in order showed higher individualism and lower power distance. Also Korea and Japan showed relatively short term confucian culture while U. S. and France did ling term perspectives in the ads. Second, product involvement and usage type had a significant impact on the characteristics of individualism-collectivism and feminity-masculinity. That is, product ads of lower involvement and personal use were likely to show individualistic messages and to have more feministic appeals. Third, magazine type had an impact on some cultural characteristics. Womens magazines would have more individualistic, less power oriented, and feministic appeals of ads. In conclusion, global ads should be localized and differentiated in terms of some cultural characteristics and differ depending on product characteristics.

• Journal of Distribution Science
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• v.17 no.10
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• pp.125-134
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• 2019

Purpose - Environment-friendly behaviors are diverse and can be motivated by different factors. For example, magnitude of factors affecting recycling behavior could be different from those affecting purchasing of environmentally-friendly products. In this study, the focus is on usage satisfaction of consumers who have purchased environmentally-friendly products. Research design, data, and methodology - For this purpose, data were collected from a total of 345 users of environmentally-friendly products, consisting of 177 users of electric vehicles and 168 users of environmentally-friendly detergents. The study analyzed the relationships among consumer's innovation propensity, consumer's environmental concern, and usage satisfaction. In addition, the moderating effect of the product's innovativeness was examined. Results - The result shows that there is a relationship between consumer's innovation propensity and consumer's environmental concern. In particular, it is shown that both consumer's innovation propensity and consumer's environmental concern have positive effects on usage satisfaction. Further, there was a moderating effect of the product's innovativeness. Namely, products rated higher in innovativeness showed a greater effect of consumer's innovation propensity on usage satisfaction. The degree of the product's innovativeness also affected the directional paths of the relationships. In the electric vehicle (i.e., high product innovativeness) case, consumer's innovation propensity had a direct effect on usage satisfaction, as well as an indirect effect through consumer's environmental concern. In the environmentally-friendly detergent (i.e., low product innovativeness) case, consumer's innovation propensity only had an indirect effect on usage satisfaction, through consumer's environmental concern. Conclusions - Theoretical contributions of this study are as follows. Foremost, this is the first study that suggests an existence of a relationship between consumer's innovation propensity and consumer's environmental concern. Second, this study showed the positive effect of consumer's innovation propensity on usage satisfaction of environmentally-friendly products. Third, this study expanded the scope of previous studies by showing the interaction between consumer's innovation propensity and consumer's environmental concern. Lastly, this study showed that the effect of these variables on usage satisfaction can differ by the degree of innovativeness of the environmentally-friendly product. The results of the study will have implications for marketers and policy makers in formulating marketing activities and policies.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.342-351
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• 2002

A personalized product recommendation is an enabling mechanism to overcome information overload occurred when shopping in an Internet marketplace. Collaborative filtering has been known to be one of the most successful recommendation methods, but its application to e-commerce has exposed well-known limitations such as sparsity and scalability, which would lead to poor recommendations. This paper suggests a personalized recommendation methodology by which we are able to get further effectiveness and quality of recommendations when applied to an Internet shopping mall. The suggested methodology is based on a variety of data mining techniques such as web usage mining, decision tree induction, association rule mining and the product taxonomy. For the evaluation of the methodology, we implement a recommender system using intelligent agent and data warehousing technologies.

• The Journal of Industrial Distribution & Business
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• v.12 no.5
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• pp.47-58
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• 2021

Purpose - Current research aimed at exploring the effect differences between the two types of processing product information such as the imagining and the considering on psychological product ownership which could influence the intent to purchase or use the product, and focused on identifying the interaction effects of activated memory information type and advertising information type on each of the information processing types. Research design, data, and methodology - This study divided the information processing types into imagining and considering, and the consumer's memories were divided into autobiographical or episodic and semantic memory. The advertising information was approached in each of event information being together with the product and product feature information. At empirical study, 2(two types of memory activation: episodic and semantic memory activation) ∗ 2(two types of advertising information: event-focused and product feature-focused advertising information) between-subjects design was used to make four types of questionnaire according to the type of experimental groups. Through the survey platform, 'questionnaire stars' of 'WeChat' in China, 219 questionnaire data were collected for empirical study. The structural equation model in AMOS 26 and Anova were used to verify hypotheses. Results - First, the ownership affected the usage intent positively. Second, the imagining did not affect the psychological ownership but did directly affect the usage intention, and the considering affected the ownership positively. Third, the episodic memory activation positively influenced the imagining and negatively affected the considering, whereas the semantic memory activation positively influenced the considering and negatively affected the imagining. Fourth, event-advertising information increased the effects of the activated episodic memory on the imagining, and feature-advertising information increased the effects of the activated semantic memory on the considering. Conclusions - marketers should develop and advertise their product-related event message to trigger the imaging that directly increase the intent to purchase or use their product, when consumers are under the activation of their episodic memory. And marketers should advertise their product feature-related message to trigger the considering that could induce consumers' ownership for their product to increase the intent to purchase or use their product, when they are under the activation of their semantic memory.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.6
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• pp.977-987
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• 2018

This study tests the effect of recommended product presentation on consumers' usage intentions of a website, mediated by mental simulation. Mental simulation refers to perceptual experience, a more automatic form of mental imagery, initiated by exposure to the representations of objects. This study expects that when compliments of clothes (coordination items) are vertically presented online, consumers are likely to feel as if they wear the outfits due to the activation of mental simulation. The survey was conducted on 147 women in an age group between 20 and 40 years in a panel of an online survey firm. Data are analyzed using exploratory factor analysis and bootstrapping analysis by SPSS 20.0. The results show that when compliments (vs. substitutes) of clothes are presented, participants perceive a greater mental simulation. When compliments of clothes are vertically presented (vs. horizontally presented), mental simulation is also highly driven. In addition, mental simulation mediates the effects of online product presentation on consumers' usage intentions of a website. The findings of this study contribute to marketing strategies of online retailers in terms of how product recommendation can be offered to consumers with more psychological benefits.

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.361-379
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• 2014

With the rapid increase of social network usage, there are emerging trends of adopting social information among online users in building recommendation system. This study aims to investigate whether the additional usage of social information can improve recommendation performance in recommendation system and how much the improvement can be different according to the product involvement level. As an experiment result, social information does not affect positively to the recommendation accuracy but affect significantly to the recommendation quality. Also social information contributed more sensitively to the improvement of recommendation quality in high product involvement domain.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.4
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• pp.625-639
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• 2015

The number of Chinese tourists visiting Korea has rapidly increased over the last decade. It is important to understand Chinese consumption patterns and shopping behavior because they have become major customers in the Korean fashion market. This study focuses on how Chinese tourists feel while shopping in Korea and how emotions influence their attitude towards purchased products. We examine how planned purchase and unplanned purchase impact shopping emotions and product usage satisfaction. A survey was conducted on 550 women between 20 and 60 years of age who have visited Seoul more than once with an online panel from an international survey firm. Data are analyzed using structural equation modeling by AMOS 20.0. Respondents were asked to recall most impressive fashion product that they bought in Korea during their recent visit and to answer if it was a planned or unplanned purchase. This study also measures emotions during product purchases and usage satisfaction. The respondents are categorized into heavy and light buyers according to purchasing power to determine the moderating effects of purchase amount. The results indicate that planned purchases tend to deliver positive emotions that enhance product usage satisfaction. In the case of unplanned purchases, without the mediating role of positive shopping emotions, it has a negative impact on product attitude and shows the importance of positive emotions during shopping. The influence of unplanned purchases on shopping emotions or product attitude in light buyers is not significant for the moderating effect of purchasing power. Only planned purchases trigger product usage satisfaction when it is mediated by positive emotions.