• The Research Journal of the Costume Culture
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• v.10 no.3
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• pp.248-260
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• 2002

The purpose of this study were 1) to examine underlying dimensions of two aspects of attitudes - cognitive beliefs and consumption feelings of well-known name brand apparel and 2) to examine predictiveness of those two variables in predicting buying intentions of well-known name brand apparel. The data were collected through questionnaire from convenient samples of 207 female college students. Statistical analysis of factor analysis, t-test and multiple regression analysis were performed in analysing the data. The major findings were as fellows: 1. The dimensions of evaluation criteria of well-known name brand apparel were design/brand name, clothing construction, and practicality. 2. The dimensions of consumption feelings were pleasure/confidence, active and regret. 3. In predicting buying intension of name brand apparel, consumption feelings fecund to be as more robust predictors than cognitive variables.

• The Research Journal of the Costume Culture
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• v.26 no.1
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• pp.109-124
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• 2018

As fashion and distribution companies have increasingly turned to implementing marketing activities that use omni-channel strategies, it is imperative to explore consumer-oriented evaluations of omni-channel shopping for fashion products. Through contributing to the growing research flow of consumer behavior within omni-channel contexts, the current study explores consumer motivations for omni-channel fashion shopping and their impacts on the decision-making stages of fashion products. The authors first performed in-depth interviews with six Korean consumers and confirmed the four types of consumer motivation for omni-channel shopping, and how decision-making processes react to fashion companies' omni- channel marketing strategies. These findings were used to set survey items for the main study. Based on the results and findings of previous literature, an online survey was conducted with 300 participants who had actual experience with omni-channel shopping for fashion products. The statistic results from the survey revealed the following: First, the in-depth interviews allowed the authors to confirm four factors of omni-channel shopping motivation (ubiquity, efficiency, convenience, and impulsiveness). Second, the survey showed the authors that among the four factors of omni-channel shopping orientation, impulsiveness had the greatest effect on consumer behaviors at the preand on-purchase stages, while the ubiquity factor had the greatest effect at the post-purchase stage. As such, the study empirically tested the omni-channel-specific factors of shopping orientation and motivation. In addition, it showed the effect of omni-channel marketing on various stages of the decision- making process and the study's limitations and implications were discussed.

• Journal of Distribution Research
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• v.9 no.1
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• pp.25-45
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• 2004

As electronic commerce establishes itself as a viable and competitive channel, this research compares the attractiveness of online and offline purchase from a transaction cost perspective. In the process, we propose a framework that integrates transaction cost with purchase decision process and product type. Specifically, the paper proposes and tests hypotheses regarding the difference between online and offline channels with respect to the transaction costs incurred in each stage of the purchase decision process. These differences are further compared across different product types categorized according to the FCB Grid. A total of 24 hypotheses were tested by conducting a questionnaire survey on university students. The results showed that 19 out of 24 hypotheses were supported. Following a detailed presentation of the analysis results, the paper concludes by discussing the academic and managerial implications of the findings.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.229-234
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• 2021

This study identified the characteristics of video contents related to waste cycle in Korean social media. The contents of broadcasting companies were the most popular among production entities, and mainly current affairs contents and educational contents were popular. Among the solutions to recycle wastes, 'Improvement of systems and policies' was predominantly covered in the video as solutions to the waste circulation problems. 'Broadcasting companies', 'local governments', 'non-profit private organizations' and 'central administrative agencies' actively used the social media to deliver solutions and engage consumers. However, very few contents were produced by companies that are socially responsible for waste. The results of this study show the importance of communication-oriented, public-friendly content development in the process of video production related to waste cycle. These are expected to be useful guidelines for decision-making supporting the development and improvement of related systems and policies.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.27-42
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• 2020

Traditional companies with offline stores were unable to secure large display space due to the problems of cost. This limitation inevitably allowed limited kinds of products to be displayed on the shelves, which resulted in consumers being deprived of the opportunity to experience various items. Taking advantage of the virtual space called the Internet, online shopping goes beyond the limits of limitations in physical space of offline shopping and is now able to display numerous products on web pages that can satisfy consumers with a variety of needs. Paradoxically, however, this can also cause consumers to experience the difficulty of comparing and evaluating too many alternatives in their purchase decision-making process. As an effort to address this side effect, various kinds of consumer's purchase decision support systems have been studied, such as keyword-based item search service and recommender systems. These systems can reduce search time for items, prevent consumer from leaving while browsing, and contribute to the seller's increased sales. Among those systems, recommender systems based on association rule mining techniques can effectively detect interrelated products from transaction data such as orders. The association between products obtained by statistical analysis provides clues to predicting how interested consumers will be in another product. However, since its algorithm is based on the number of transactions, products not sold enough so far in the early days of launch may not be included in the list of recommendations even though they are highly likely to be sold. Such missing items may not have sufficient opportunities to be exposed to consumers to record sufficient sales, and then fall into a vicious cycle of a vicious cycle of declining sales and omission in the recommendation list. This situation is an inevitable outcome in situations in which recommendations are made based on past transaction histories, rather than on determining potential future sales possibilities. This study started with the idea that reflecting the means by which this potential possibility can be identified indirectly would help to select highly recommended products. In the light of the fact that the attributes of a product affect the consumer's purchasing decisions, this study was conducted to reflect them in the recommender systems. In other words, consumers who visit a product page have shown interest in the attributes of the product and would be also interested in other products with the same attributes. On such assumption, based on these attributes, the recommender system can select recommended products that can show a higher acceptance rate. Given that a category is one of the main attributes of a product, it can be a good indicator of not only direct associations between two items but also potential associations that have yet to be revealed. Based on this idea, the study devised a recommender system that reflects not only associations between products but also categories. Through regression analysis, two kinds of associations were combined to form a model that could predict the hit rate of recommendation. To evaluate the performance of the proposed model, another regression model was also developed based only on associations between products. Comparative experiments were designed to be similar to the environment in which products are actually recommended in online shopping malls. First, the association rules for all possible combinations of antecedent and consequent items were generated from the order data. Then, hit rates for each of the associated rules were predicted from the support and confidence that are calculated by each of the models. The comparative experiments using order data collected from an online shopping mall show that the recommendation accuracy can be improved by further reflecting not only the association between products but also categories in the recommendation of related products. The proposed model showed a 2 to 3 percent improvement in hit rates compared to the existing model. From a practical point of view, it is expected to have a positive effect on improving consumers' purchasing satisfaction and increasing sellers' sales.

• Journal of Global Scholars of Marketing Science
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• v.15 no.1
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• pp.41-60
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• 2005

The purposes of this study were 1)to examine the conceptual structure of purchasing motives and information seeking of beauty service, 2)to find out the effects of purchasing motives on information seeking, and 3)to investigate the differences of purchasing motives and information seeking according to the demographic variables. The questionnaire was developed based on pretest and previous studies, and completed by 331 female consumers living in Seoul and Busan. Data were analyzed by factor analysis, Cronbach's a, regression analysis, Pearson's correlation, ANOVA, and Duncan test. The results are as follows; First, factor analysis showed that the purchasing motives of beauty services consisted of five factors, such as Fashionableness, Impulse purchase, Special event, Mood & Recreation, and Practical purchasing needs. And the information seeking for beauty services consisted of four factors, such as Mass media, Opinions of neighbors, Experience & Observation, and Sales hook. Second, mass media was effected by fashionableness, impulse purchase, special event, and mood & recreation. Experience & Observation was effected by fashionableness, special event, and mood & recreation. Sales hook was effected by fashionableness, and impulse purchase. Third, the dimensions of purchasing motives and information seeking of beauty service were significantly different according to age, marriage or unmarried, and duties.

• International Commerce and Information Review
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• v.14 no.4
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• pp.109-130
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• 2012

In recent years, the volume of global fair trade has been increased rapidly. As the quality of life improves, consumers are increasingly concerned about fairness and environment and show positive attitudes toward ethical products. Fair trade is a social movement that aims to set fair prices for products, alleviate poverty, and assist producers marginalized by the traditional economic model. The study attempt to investigate empirically fair trade products purchase intention, so consumers attitude toward fair trade product purchase, normative belief, fairness restoration expectation, ethical responsibility are defined and their impacts on the purchase intention were analyzed. The statistical method used to test the hypotheses was multi-regression using SPSS 18 for window. The results of this study are follows. Purchase attitudes toward fair trade products and ethical responsibility had a significant effect on the purchase intention. The Effectiveness of the ethical responsibility had greater than that of the purchase attitudes. The result of the empirical study provides important implications for the fair trade related organizations and businesses.

• Journal of Convergence for Information Technology
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• v.10 no.1
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• pp.235-242
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• 2020

This study aims to provide direction for improvement of the hospital's management environment for customer satisfaction management, which is ultimately consumer-oriented in practice. this study was analyzed the relationship between hospital use satisfaction relative to expected level and medical service provision process for inpatients. The study method collected data from September 10 to September 30, 2018 for patients with inpatient care at hospitals and general hospitals under 300 beds, and conducted a t-test, ANOVA, and logistic regression. According to the analysis, hospital brands were the most frequently chosen reason for hospitalization, followed by doctor brands. The satisfaction level of the inpatient medical service provision process showed no statistical differences depending on the general characteristics. It has been confirmed that the hospital's satisfaction level relative to the expected level of inpatients has a causal relationship that significantly affects the hospitalized procedure the course of the provision of medical services.

• Science of Emotion and Sensibility
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• v.12 no.3
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• pp.289-298
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• 2009

An analysis was carried out for this study to figure out if there exists any differences in the model consumers accept for commercialized MP3-playing clothing and bio-signal sensing clothing. To analyze the differences of the structural variables of the products types, t-test was conducted with SPSS 15.0 package and multi-group analysis with AMOS 5.0 to find out the differences of each path goes with product types in structural equation model. In analytical results of effective sample of 557 copies of questionnaire, consumers' were highly aware of MP3-playing clothing in perceived ease of use, while they were aware relatively high of bio-signal sensing clothing in perceived usefulness, attitudes, consumer acceptance. The perceived value which was input to find out consumers awareness about sale price of commercialized products, was proven to do very important moderating role in forming consumers' attitudes and acceptance intention. Besides, consumers showed a difference in path in accepting model goes with product types. In bio-signal sensing clothing case, 'the perceived usefulness$\rightarrow$attitudes' path which was backed up in MP3-playing clothing was rejected, and 'perceived value$\rightarrow$attitudes' path appeared relatively high with moderating role of perceived value higher than MP3-playing clothing. Considering the results above, as the smart clothing is in the initiative commercialization stage while consumers were in the inquiry stage into awareness or information necessary in the course of purchase decision-making, and so an effective commercialization strategy seems to be necessary.

• Information Systems Review
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• v.12 no.1
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• pp.209-227
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• 2010

One type of innovative multimedia platform environments is mobile data services (MDS), exemplified by Nate, Show, and OZ. In the context of MDS, enhancing user's continuance intention is a significant challenge to the continuing growth and long-term viability of MDS. Because the cost of using MDS is borne mainly by users, they are likely to evaluate it based on perceptions of what is received and what is given. This study identifies perceived usefulness and perceived enjoyment as the 'get'components, and perceived fee and perceived anxiety as the 'give' components. To understand the role of get and give components in the MDS post-adoption environment, this study incorporates these components into expectation confirmation model. We collected data from 204 users who had direct experiences with MDS within recent 3 months. The data was analyzed by employing PLS (partial least squares). Theoretical and practical implications of our findings are discussed.