• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.3
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• pp.464-476
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• 2021

This study empirically investigated the relationship benefits perceived by consumers from a live commerce channel and verified effects on trust in seller/product relationship and purchase intention to establish a strategy for a live commerce channel. An online survey was conducted among 204 women residing in Korea who had watched a video on fashion products shown by the NAVER Shopping channel. The perceived relational benefits from the live commerce channel were extracted into four groups: psychological, social, economic, and customerization benefits. Psychological benefits were found to have a positive effect on trust in seller but not trust in product. Social benefits and customization benefits had a positive effect on both trust in seller and product, but economic benefits had no effect. Trust in seller and in product had positive effects on purchase intention. Understanding consumer response in relation to perceived relationship benefits in live commerce can contribute strengthen consumer behavior research on live commerce channels. These results can guide fashion companies as they develop live commerce marketing strategies.

• The KIPS Transactions:PartD
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• v.12D no.6 s.102
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• pp.857-862
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• 2005

MND(Ministry of National Defense) has developed MND AF(Ministry of National Defense Architecture Framework) and CADM(Core Architecture Data Model to guarantee interoperability among defense information systems. But, it is very difficult to manage architecture product documented through MND AF and CADM. So, there Is necessity for development of modeling tool and repository system which can develop architecture products and manage architecture product informations in common repository In this paper, we developed architecture product management system which supports development and management of meta model and architecture product of MND AF and CADM. Through architecture product management system architect of each agency can construct architecture product in a more effective and efficient way with modeling method and a user can search and refer useful architecture product informations using query function. Also, architecture product management system provides the basis for system integration and interoperability with integration, analysis and comparison of architecture product.

• Journal of KIISE:Databases
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• v.36 no.4
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• pp.254-262
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• 2009

As the trend of e-business activities develop, customers come into contact with products through on-line shopping sites and lots of customers refer product reviews before the purchasing on-line. However, as the volume of product reviews grow, it takes a great deal of time and effort for customers to read and evaluate voluminous product reviews. Lately, attention is being paid to Opinion Mining(OM) as one of the effective solutions to this problem. In this paper, we propose an efficient method for opinion sentiment classification of product reviews using product specific context information of words occurred in the reviews. We define the context information of words and propose the application of context for sentiment classification and we show the performance of our method through the experiments. Additionally, in case of word corpus construction, we propose the method to construct word corpus automatically using the review texts and review scores in order to prevent traditional manual process. In consequence, we can easily get exact sentiment polarities of opinion words in product reviews.

• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.395-408
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• 2005

Ubiquitous computing spans a very broad range of technologies and needs very complicated user's requirements. There are many scenarios and technologies involved in ubiquitous computing. We need new software development tools and methodology to meet the requirements. A software product line is one of promising new technology for it. A software product line is a set of software intensive systems that share a common, managed set of features satisfying the specific needs of a particular market segment or mission and that are developed from a common set of core assets. Software architecture-based development is the exploration and maturation of the role of software architecture in the product line life cycle. In this thesis, we identify the foundational concepts underlying software product lines and the essential activities to develop the mobile application systems. So, we define, design, and implement the Mobile Application System Architecture(MASA) that includes the development process for applying into mobile business domain and encompass scoping and gathering requirements for the Product line based on Component Based Development(CBD).

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.2
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• pp.11-18
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• 2016

Product liability (PL), which began enforcement in 2002, refers to the legal responsibility of the manufacturers or sellers (wholesales or retailers) for the property damage or bodily harm caused by their product. With a strong enforcement of the Product Liability (PL) Act, companies are required to structure and operate a response system to defend or prevent product accidents efficiently, but small and medium enterprises (SMEs) are unable to respond more aggressively due to limitation of management resources. In this manner, it is important to develop response strategies for SMEs to efficiently cope with the PL Act. In this paper, the PEST (Political, Economic, Social, and Technological) analysis is performed to reveal the impact of the PL Act on SMEs in macro-economic point of view. To formulate SME's PL response strategy, SWOT analysis is performed to categorize each factors from PEST analysis and AHP is applied to identify the intensities of SWOT factors. The prioritized SWOT factor, results of PEST-SWOT-AHP analysis, are used to formulate SME's PL response strategies. The study results are briefly summarized as follows. To reduce product defects, it is necessary for SMEs to formulate PL response strategies for each phase of the product life cycle by continuously collecting and analyzing PL cases in the same industry or for similar products. In addition, SMEs should invest more technological effort to ensure product safety. Further, SMEs should spread PL awareness to all staff members by training internal PL experts. Moreover, a SME should enroll in PL insurance and spread this information to its customers so that they become aware that the company is proactively conforming to the PL law.

• 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.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.5
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• pp.41-52
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• 2019

The rapidly changing business environment requires small and medium-sized suppliers to develop creative new products. Therefore, many previous studies have attempted to identify important factors for successful new product development. However, despite the importance of firm learning has generated considerable interest in new product development, the central issue of firm learning remains unanswered. Therefore, this study investigated the effect of adaptive learning of small and medium suppliers on creativity and new product performance in new product development. As a result, it was confirmed that adaptive learning positively affects both novelty creativity and meaningfulness creativity. On the other hand, meaningfulness creativity has a positive effect on new product performance, but novelty creativity has no effect on new product performance.

• Journal of Fashion Business
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• v.27 no.3
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• pp.50-62
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• 2023

The e-commerce fashion market has experienced a remarkable growth, leading to an overwhelming availability of shared information and numerous choices for users. In light of this, chatbots have emerged as a promising technological solution to enhance personalized services in this context. This study aimed to develop user-product attributes for a chatbot-based personalized fashion recommendation service using big data text mining techniques. To accomplish this, over one million consumer reviews from Coupang, an e-commerce platform, were collected and analyzed using frequency analyses to identify the upper-level attributes of users and products. Attribute terms were then assigned to each user-product attribute, including user body shape (body proportion, BMI), user needs (functional, expressive, aesthetic), user TPO (time, place, occasion), product design elements (fit, color, material, detail), product size (label, measurement), and product care (laundry, maintenance). The classification of user-product attributes was found to be applicable to the knowledge graph of the Conversational Path Reasoning model. A testing environment was established to evaluate the usefulness of attributes based on real e-commerce users and purchased product information. This study is significant in proposing a new research methodology in the field of Fashion Informatics for constructing the knowledge base of a chatbot based on text mining analysis. The proposed research methodology is expected to enhance fashion technology and improve personalized fashion recommendation service and user experience with a chatbot in the e-commerce market.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.67-90
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• 2008

Prior to making choices among online products and services, consumers often search online product reviews written by other consumers. Online product reviews have great influences on consumer behavior because they are believed to be more reliable than information provided by sellers. However, ever-increasing lists of product reviews make it difficult for consumers to find the right information efficiently. A customized search mechanism is a method to provide personalized information which fits the user's requirements. This study examines effects of a customized search mechanism and perceived similarity between consumers and product reviewers on consumer behaviors. More specifically, we address the following research questions: (1) Can a customized search mechanism increase perceived similarity between product review authors and readers? (2) Are product reviews perceived as more credible when product reviews were written by the authors perceived similar to them? (3) Does credibility of product reviews have a positive impact on acceptance of product reviews? (4) Does acceptance of product reviews have an influence on purchase intention of the readers? To examine these research questions, a lab experiment with a between-subject factor (whether a customized search mechanism is provided or not) design was employed. In order to enhance mundane realism and increase generalizability of the findings, the experiment sites were built based on a real online store, cherrya.com (http://www.cherrya.com/). Sixty participants were drawn from a pool that consisted of undergraduate and graduate students in a large university. Participation was voluntary; all the participants received 5,000 won to encourage their motivation and involvement in the experiment tasks. In addition, 15 participants, who selected by a random draw, received 30,000 won to actually purchase the product that he or she decided to buy during the experiment. Of the 60 participants, 25 were male and 35 were female. In examining the homogeneity between the two groups, the results of t-tests revealed no significant difference in gender, age, academic years, online shopping experience, and Internet usage. To test our research model, we completed tests of the measurement models and the structural models using PLS Graph version 3.00. The analysis confirmed individual item reliability, internal consistency, and discriminant validity of measurements. The results show that participants feel more credible when product reviews were written by the authors perceived similar to them, credibility of product reviews have a positive impact on acceptance of product reviews, and acceptance of product reviews have an influence on purchase intention of the readers. However, a customized search mechanism did not increase perceived similarity between product review authors and readers. The results imply that there is an urgent need to develop a better customized search tool in order to increase perceived similarity between product review authors and readers.

• Proceedings of the Korean Society of Postharvest Science and Technology of Agricultural Products Conference
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• 2002.08a
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• pp.99-108
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• 2002

Since the introduction of carbonated drinks in the 1950s, 'cola' and 'cider'along with orange juice, the dominator of the juice market, have been two main streams of the Korean beverage market. This market pattern has caused the following effects; a. Economical loss due to the import of foreign brands - royalty payments to x company. b. Loss of opportunity to develop a domestic beverage market. c. Inflow of an unfiltered foreign culture. This study shows a change in the Korean beverage market. In the 1980s. consumers' tastes started to change as a trend of developing beverages using traditional Korean ingredients started to begin. On the basis of this change, I would like to discuss the desirable path in developing beverages using traditional ingredients. 'Traditional ingredients'refers to the ingredients that the Korean people have enjoyed within the course of their life, whether it be via food or beverage. These ingredients have been chosen by our people as first rate for centuries. How to modernize and develop these work-in-progress products is the desirable direction for the development of drinks using traditional Korean ingredients. This study also shows various examples of how Korean traditional ingredients and the Western scientific civilization can fuse together to develop a modern and value-added product. One project in particular, created a method of producing a beverage using rice a simple traditional ingredient, marking it a hit product. Through this example, I present the desirable direction of how to develop a modernized drink using traditional ingredients that can change both the consumers' current value on the Korean beverage market as well as create a new pattern of consumer tastes.