• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.5
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• pp.879-893
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• 2016

This study explores the determinants of clothing disposition and examines their effect on the dimensions of clothing disposition behavior. The data of 316 women were collected nationwide using an online self-administered questionnaire. This study initially identified five types of disposition behavior as revising, permanent separation, giving away, selling, and donating to charity. Exploratory and confirmative factor analysis identified the underlying determinants of clothing disposition as self-concept, reusability, economic factor, social environment, affective association, storage, fashionableness, and a sense of belongingness. Structural equation modeling was conducted to examine the relationships between variables. The results demonstrated that six out of eight determinants significantly affected clothing disposition behavior. The effects of social environment and a sense of belongingness were relatively strong determinants that influenced the four types of disposition behaviors. However, self-concept and affective association did not influence the disposition behaviors. A series of one-way MANOVA was conducted to determine the effect of the eight demographic variables on the four modes of clothing disposition. Giving away, permanent separation, and donating to charity differed significantly in the groups of three demographic variables such as age, monthly income, and marital status. This study empirically elucidates what criteria consumers use when confronted with unused clothing and how the determinants of clothing disposition influence the modes of clothing disposition behavior. This study provides a framework for clothing disposition behavior and its determinants as well as suggests a new approach to clothing disposition behavior and improvements in marketing decisions.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.2
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• pp.222-226
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• 2010

With the continuously increasing volume of e-commerce transactions, it is now popular to buy some products and to evaluate them on the World Wide Web. The product reviews are very useful to customers because they can make better decisions based on the indirect experiences obtainable through these reviews. However, since online shopping malls do not provide ranking results, it is not easy for users to read all the relevant review documents effectively. Product reviews include subjective and emotional opinions. Thus, the review search is different from the general web search in terms of ranking strategy. In this paper, we propose an effective method of ranking the reviews that can reflect user's intention by using opinion mining techniques. The proposed method analyzes product reviews with query words, and sentimental polarity of subjective opinions. Through diverse experiments, we show that our proposed method outperforms conventional ones.

• The Journal of Information Systems
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• v.26 no.4
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• pp.107-135
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• 2017

Purpose Along with the growth of smart phones and social networking service (SNS), social commerce continues to expand. Although online reviews have become an important source of the information that consumers use to make purchasing decisions, theoretical development and empirical testing in this area are still limited. Thus, there is a need to develop further understanding about the influence of electronic word-of-mouth (eWOM). Drawing upon the heuristic - systematic model (HSM) which is one of the dual-process theories, this study develops a research model that explains key factors influencing consumers' eWOM credibility. Furthermore, this study verifies that consumer's eWOM credibility is a key determinant of eWOM and purchase intentions. Design/methodology/approach The proposed model is empirically tested with 493 users who have experience in WeChat-based social commerce. The structural equation model (SEM) analysis is used to evaluate the research model and hypotheses. Findings The major findings are as follows. First, argument quality of eWOM (a systematic factor) has a positive effect on eWOM credibility. Second, source credibility and recommendation consistency of eWOM (heuristic factors) are positively associated with eWOM credibility. Finally, purchase and eWOM intentions greatly depend on eWOM credibility. These results confirm the effectiveness of HSM in explaining eWOM mechanisms in SNS-based social commerce. The details of findings and implications are presented.

• Journal of the Korea Society of Computer and Information
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• v.17 no.5
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• pp.157-167
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• 2012

The purpose of this paper is to develop an OLAP (online analytical processing) database system that supports the SMBA (Small and medium Business Administration) policy funding. A heterogeneous dimension schema will be central in staged support of policy funds. In this paper, therefore, we designed the FREQUENCY dimension table which has a heterogeneous dimension schema structure. In this paper, we made a model of measuring SME (small and medium-sized enterprise) size first. The model is composed of six determinants of firm growth such as sales, employment, own technology, the operating profit to sales ratio, the debt ratio, and the current ratio. We developed the OLAP database system by using three dimensions including the FREQUENCY dimension, and using the model of measuring SME size. Also we assessed past decisions on policy funding in the Small Business Policy Funds Support Project (2004-2007) by using the OLAP database system.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.2
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• pp.209-223
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• 2020

This study examined consumers' perceived anxiety regarding how safe the clothing and lifestyle products are as well as influencing factors. Data was collected using a self-ministered online survey of 1,126 adult consumers. The results of this study showed that consumer anxiety about chemicals and hygiene product safety had a greater impact on the anxiety perception of general safety than clothing and beauty products. It was confirmed that the reliability of information source (government agency, mass media, expert group, and internet community/blog) varies depending on the level of consumers' overall safety anxiety. The study also found the effect of consumers' subjective perception of health on safety anxiety about clothing and lifestyle products. Further, the moderating effect of age in the research model was confirmed. This result can be a useful guide to marketing communication for developing consumer safety-related policies to reduce consumer anxiety. The information will also help consumers make informed decisions that lead to safe and sustainable consumption.

• The Research Journal of the Costume Culture
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• v.24 no.4
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• pp.511-529
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• 2016

The current study aims to segment Chinese female consumers using their lifestyle dimensions in the cosmetics market, and analyze their cosmetics purchasing behavior based on that segmentation. Specifically, lifestyle groups were examined to see if there is any group difference(s) in consumer behavior for Korean cosmetics. Lifestyle groups were examined based on: consumers' demographic characteristics, perceived brand attributes, loyalty toward Korean cosmetics, usage of Korean cosmetics products, preferred stores of shopping for Korean cosmetics, and use of information sources in purchase decisions. An online survey was administered to female consumers who live in Beijing and Shanghai. A total of 493 surveys were used for data analyses. The results of the study were as follows: First, factor analysis revealed 11 significant lifestyle dimensions. Second, using these 11 lifestyle dimensions, cluster analysis was conducted, which revealed four distinct groups of consumers: (1) "timid inactive group," characterized by having low scores in most lifestyle dimensions; (2) "showcase goers," who tend to be highly fashion/appearance-conscious and brand-oriented; (3) "practical buyers," who tend to be price-conscious, sensitive and timid; and (4) "sensible buyers," who enjoy finer meals and wellbeing lifestyles, as well as hardworking in everything and impulse-buy things. Third, consumer behavior of purchasing Korean cosmetics brands were examined; significant differences among the four lifestyle groups were found. The study concludes with a discussion of the results and practical implications.

• Journal of Intelligence and Information Systems
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• v.16 no.2
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• pp.1-17
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• 2010

Association rules among product items by association analysis suggest sales effect among products. These are useful for marketing strategies such as cross-selling and product display etc. However, if we evaluate more practical product values reflecting cross-selling effects, they will be also more useful for the decisions of companies such as product item selection for product assortment and profit maximization etc. This study proposes product value evaluation models with the concept of effective value based on single-item association chain and itemset association chain. In addition to that, we performed experiments with transaction data related to clothing of an online shopping mall in Korea to show the performances of our models. In result, we confirmed that some items increased in effective values compared with their pure values while the others decreased in effective values.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.81-89
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• 2020

Online reviews we encounter commonly on SNS, although a complex range of assessment information affecting the consumer's preferences are included, it is general that such information is just provided by simple numbers or star ratings. Based on those review types, it is not easy to get specific information that consumers want and use it to make a decision for purchase. Therefore, in this study, we propose a prediction methodology that can provide ratings broken down by evaluation items by performing sentiment analysis on restaurant reviews written in Korean. To this end, we select 'food', 'price', 'service', and 'atmosphere' as the main evaluation items of restaurants, and build a new sentiment dictionary for each evaluation item. It also classifies review sentences by rating item, predicts granular ratings through sentiment analysis, and provides additional information that consumers can use to make decisions. Finally, using MAE and RMSE as evaluation indicators it shows that the rating prediction accuracy of the proposed methodology has been improved than previous studies and presents the use case of proposed methodology.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.4
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• pp.45-65
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• 2021

This study was conducted to obtain a better understanding of Korean researchers' motivations and experience regarding open access publishing. An online survey was conducted with the Korean authors of PLOS ONE, a major open access mega journal (OAMJ). A total of 238 responses were collected; the analysis was based on 202 valid responses. The results of the survey were compared and constrated with the results of a major international study that investigated similar issues. For Korean authors with open access publishing experience, journal impact factor (JIF) is still the most important factor in making publishing decisions. There was a significant difference between general publishing venue decision making versus open access publishing venue decision. Overall, Korean authors are far less satisfied with open access publishing than the authors in the international study. The results suggest comparatively low level of expectation among Korean researchers toward open access publishing. Open access policy and training initiatives are needed to promote open access.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.2
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• pp.65-80
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• 2019

With the advent of the ICT-based 4th industrial revolution, the convergence of the manufacturing industry and ICT seems to be the new breakthrough for achieving the company's competitiveness and play a role on the key element for accelerating the revival of the manufacturing industry. When the smart factory is implemented, each plant can analyze the quantity of data collected, build the data-driven operation systems which can make decisions, and ultimately discover the correlation among many events in the manufacturing sites. As the customers' needs become diversified more and more, it is required for the company to change its operating method from large quantity batch production systems to customizable and flexible manufacturing systems. For performing this requirements, it is essential for the company to adopt the smart factory. Based on technology acceptance model (TAM), this study investigates the factors influencing continuous use intention and switching intention of the smart factory. To do so, a questionnaire survey is conducted both online and offline. 122 samples are used for the study analysis. The results of this study will provide many implications with many researchers and practitioners relevant smart factories.