• Korean journal of food and cookery science
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• v.28 no.1
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• pp.33-40
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• 2012

The purpose of the study is to examine the importance and performance degrees between Selection Attributes of American beef by IPA(Importance-Performance Analysis) for university students in Seoul and Gyeonggi Area. A total of 590 questionnaires were distributed, and 481 questionnaires were used in the study (81.5% of response rate). According to the IPA results of 12 selection attributes for American beef, the selection attributes with relatively low satisfaction but high importance(II quadrant) were 'country of origin', 'safety', 'cleanliness and hygiene'. The factor to be improved relatively through to the results of IPA was consumer confidence factor ('country of origin', 'safety', 'cleanliness and hygiene') and it was confirmed that university students had a low satisfaction in large degrees compared to the significance of American beef. Therefore, recovery of consumer confidence of American beef is urgent as well as the need to increase satisfaction of consumers. From now on, based on these results, it is considered that many efforts are necessary to increase the trust of consumers by planting awareness that American beef is safe by setting institutional conditions to vitalize purchase of American beef. Moreover, it is considered that these efforts would be significant for the vitalization of restaurants with beef as their main menu, and vitalization of consumption of Korean beef as well as American beef henceforth.

• Journal of Fashion Business
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• v.21 no.2
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• pp.30-44
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• 2017

The purposes of this study were to (a) identify dimensions of relational benefits in the social commerce market, (b) predict the effects of relational benefits on satisfaction, repurchase intention, and word of mouth (WOM) intention, (c) examine the mediating effects of satisfaction, and (d) compare the differences in the effects of relational benefits on satisfaction, repurchase intention, and WOM intention between the two groups of market mavenism. For collecting data, a self-administered questionnaire was undertaken by an online research agency. A total of 490 usable responses were obtained from consumers who have used social commerce sites. The sample included a slightly higher number of females (50.8%) than males and age was ranged from 20 years to 40 years. An exploratory factor analysis generated four factors of relational benefits such as confidence, convenience, special treatment, and information. Multiple regression models showed that confidence, convenience, and special treatment benefits were significant predictors of satisfaction and repurchase intention; the confidence and convenience benefits were significant for WOM intention. Satisfaction significantly mediated the relationship between relational benefits and repurchase intention, and the relationship between relational benefits and WOM intention. The group with high level of market mavenism more highly perceived the relational benefits than the other groups. Confidence benefit had a significant effect on repurchase intention regardless of the level of market mavenism, while convenience benefit had a significant effect on repurchase intention in the non-market maven group. This study discussed the managerial implications for customer relationship management in the social commerce marketplace.

• Fashion & Textile Research Journal
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• v.22 no.2
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• pp.149-157
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• 2020

The current study tests the effect of fashion product knowledge and confidence in fashion coordination on innovative fashion product acceptance, mediated by creative fashion consumer efficacy. Creative fashion consumer efficacy refers to a consumers' belief in the ability to consume fashion products in a creative way. The survey was conducted on 474 people between 20 and 40 years of age in a panel of online survey firms. Data was analyzed using reliability analysis and frequency analysis by SPSS 20.0 along with confirmatory factor analysis and structural equation modeling done by AMOS 20.0. The results reveal that creative fashion consumer efficacy consists of original thinking efficacy, usage expansion efficacy, problem solving efficacy, and method variation efficacy that is consistent with the original structure of creative consumption efficacy. In addition, fashion product knowledge and confidence in fashion coordination do not affect innovative fashion product acceptance. The effects of fashion product knowledge and confidence in fashion coordination on innovative fashion product acceptance are fully mediated through creative fashion consumer efficacy. The results of this study demonstrate that people who are knowledgeable, confident and associated with fashion product consumption can have a high level of creative fashion consumer efficacy that increases innovative fashion product acceptance.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.2
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• pp.284-295
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• 1999

The purpose of this study was to investigate characteristics on Department stores consumers and to compare consumer characteristics among shopper types and department store types. For this purpose an ethnographic approach which is a kind of qualitative analysis was performed first. And then The data were collected from 600 female consumers over twenties and residing in Pusan Finally 499 data were used for the statistical analysis. 1. The results of clothing shopping orientations study were as follows : As a result of qualitative analysis those who patronize department stores were recreational/convenience shoppers. From quantitative analysis clothing shopping orientations were factor analyzed. which resulted in eight factors ; Recreational Shopping Convenience Shopping. Sensibility Seeking Well-Known Brand Preference Fashion Seeking Economic Shopping Sel-confidence in clothing shopping Convenient store shopping. 2. The results of store choice criteria study were as follows: As a result of concentrative observation eight store choice criteria dimensions were categorized : Service Store Atmosphere Promotion/Facilities Product Convenience Advertisement VMD Traffic/Location Convenience. From quantitative analysis eight store choice criteria factors emerged; Service Store Atmosphere Promotion/Facilities Assortment Shopping Convenience Advertisement VMD Traffic/Location Convenience. 3. According to the factor scores of recreational shopping and Convenience shopping consumers were segmented into four shopper types ; High Shopping-involved Shopper Recreational Shopper Convenience Shopper and Low Shopping-involved Shopper. Department types were divided into a large enterprise department stores and local department stores. Consumer characteristics such as clothing shopping orientations store choice criteria purchase behavior variables and demographic variables were significantly different in shopper types and department store types were significantly different in clothing shopping orientations and tore choice criteria.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.127-141
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• 2017

Advances in Internet technologies and the proliferation of mobile devices enabled consumers to approach a wide range of goods and services, while causing an adverse effect that they have hard time reaching their congenial items even if they devote much time to searching for them. Accordingly, businesses are using the recommender systems to provide tools for consumers to find the desired items more easily. Association Rule Mining (ARM) technology is advantageous to recommender systems in that ARM provides intuitive form of a rule with interestingness measures (support, confidence, and lift) describing the relationship between items. Given an item, its relevant items can be distinguished with the help of the measures that show the strength of relationship between items. Based on the strength, the most pertinent items can be chosen among other items and exposed to a given item's web page. However, the diversity of the measures may confuse which items are more recommendable. Given two rules, for example, one rule's support and confidence may not be concurrently superior to the other rule's. Such discrepancy of the measures in distinguishing one rule's superiority from other rules may cause difficulty in selecting proper items for recommendation. In addition, in an online environment where a web page or mobile screen can provide a limited number of recommendations that attract consumer interest, the prudent selection of items to be included in the list of recommendations is very important. The exposure of items of little interest may lead consumers to ignore the recommendations. Then, such consumers will possibly not pay attention to other forms of marketing activities. Therefore, the measures should be aligned with the probability of consumer's acceptance of recommendations. For this reason, this study proposes a model-based approach to combine those measures into one unified measure that can consistently determine the ranking of recommended items. A regression model was designed to describe how well the measures (independent variables; i.e., support, confidence, and lift) explain consumer's acceptance of recommendations (dependent variables, hit rate of recommended items). The model is intuitive to understand and easy to use in that the equation consists of the commonly used measures for ARM and can be used in the estimation of hit rates. The experiment using transaction data from one of the Korea's largest online shopping malls was conducted to show that the proposed model can improve the hit rates of recommendations. From the top of the list to 13th place, recommended items in the higher rakings from the proposed model show the higher hit rates than those from the competitive model's. The result shows that the proposed model's performance is superior to the competitive model's in online recommendation environment. In a web page, consumers are provided around ten recommendations with which the proposed model outperforms. Moreover, a mobile device cannot expose many items simultaneously due to its limited screen size. Therefore, the result shows that the newly devised recommendation technique is suitable for the mobile recommender systems. While this study has been conducted to cover the cross-selling in online shopping malls that handle merchandise, the proposed method can be expected to be applied in various situations under which association rules apply. For example, this model can be applied to medical diagnostic systems that predict candidate diseases from a patient's symptoms. To increase the efficiency of the model, additional variables will need to be considered for the elaboration of the model in future studies. For example, price can be a good candidate for an explanatory variable because it has a major impact on consumer purchase decisions. If the prices of recommended items are much higher than the items in which a consumer is interested, the consumer may hesitate to accept the recommendations.

• Journal of Korea Technology Innovation Society
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• v.5 no.2
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• pp.245-256
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• 2002

Measurement standards, as being widely recognized, is necessary for national economic development and advanced industrialization. Also measurement standards give reliability and fair trade to the producers and consumers. Macro-effect of measurement standards using estimation of cost function has four effects: 1) value-added causing effect, 2) effect of employment, 3) reduction effect transaction cost, 4) reduction effect defect rates. In this study, to investigate the impacts between specific and the other industries, we used I-O Table of Korea Bank. The relation between the value-added produced by original production factors and final use is determined through production level, and the relation can be investigated with production causing coefficient matrix. In this study, it was showed that the measurement standards investments including measurement only man power of industries were increased from 1995 rapidly. The establishment and maintenance of measurement standards contributes to reduce the defect rate of products in production process and improve the confidence of the product quality. The results from this study show that measurement technology contributes to improve quality, decrease defect rate, improve production process, develope new products, reduce prime cost and increase the consumer's confidence on the firms. Since these results indicate that measurement standards are very important in the point of their vast contribution, we hope our findings can contribute to encourage measurement activities in industries.

• Culinary science and hospitality research
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• v.17 no.4
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• pp.74-87
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• 2011

This study applies the Technology Acceptance Model to grasp the effect of the food traceability system on consumer confidence and usage intention. To verify the causal relationships between the factors, the consumers who use grocery stores in Seoul were selected. From February 20, 2011 to February 28, 2011, a total of 300 copies of the questionnaire were distributed, and 284 copies except for those unsuitable for analysis were collected. SPSS 12.0 and AMOS 5.0 factors analysis and a reliability test were conducted, in older to validate the proposed hypotheses. The results are summarized as follows. First, the food traceability system bad a significant effect on the technology acceptance model. Second, the food traceability system bad a significant affect on consumer confidence. Third, the food traceability system bad a significant effect on usage intention. Fourth, the technology acceptance model didn't have a significant effect on consumer confidence. Fifth, the technology acceptance model and consumer confidence bad significant effects on usage intention. Based on these results, this study suggests useful implications for the food traceability system.

• Journal of Service Research and Studies
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• v.11 no.2
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• pp.21-36
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• 2021

This study investigated the means-end chain theory more concretely through the APT hard laddering technique. This is carrying out a questionnaire survey targeting users by hair salon type, and the items drawn from the qualitative laddering technique are applied. The technique is a comparative analysis of each attribute, consequences, and value item by analyzing each step's questions. The results are as follows. First, hairdresser's ability, acceptance of individual-customized opinions, and cheap price were the most mentioned items in the selection attributes. As for the consequences items, image transformation, neatness, novelty, and psychological stability were drawn in order. The items indicated as important among the value items were satisfaction, followed by happiness, confidence, beauty, and bond. Second, the remarkable selection attributes, irrelevant of hair salon type, was revealed as hairdresser's ability and the key values pursued when using a hair salon were drawn as satisfaction, confidence, and beauty. From this result, it was found that meeting the desire of consumers using hair salons can be linked with ultimately pursued values. It was also verified that partial differences were shown by hair salon type and this meant that consumers' desire and expected benefits were different by hair salon type. Although this study drew value perception through comparison with hair salon types based on the means-end chain theory, it was confirmed that the most important selection attribute was hairdresser's ability and they select and use hair salons to gain satisfaction and confidence.

• The Journal of Industrial Distribution & Business
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• v.5 no.2
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• pp.21-28
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• 2014

Purpose - This study aims to understand the brand marketing of agricultural products and redefine their status in South Korea by analyzing impacts on consumer buying behaviors. Research design, data, and methodology - Products, with independent variables, were divided into agricultural brand products and generic products. Dependent variables were limited to expanding sales of a specialty brand through consumer awareness, consumer buying behavior, and confidence in agricultural products' quality. Control variables were based on characteristics of products such as freshness, safety, quality, and their category. Moderating effects were examined on consumer characteristics, including income levels and age. Results - Consumers increasingly purchased agricultural brand products rather than generic agricultural products because of the general reliability of quality assurance. Conclusions - Large agricultural specialty stores have enhanced the perceptions of quality assurance, freshness, safety, and diversity. Through a critical analysis of the domestic consumer income levels and age, gender, and demographic factors, such as agricultural consumer buying behavior not affecting consumers' health and life, this study proposes positive changes in quality perception.

• Korean Journal of Organic Agriculture
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• v.4 no.1
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• pp.13-28
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• 1995

This study analyzed marketing activities of producers' organization on organic farming products(O.F.Ps), and was inquired into direction of consumption increase by it. As a result, in order to raise marketing efficiency and to increase consumption of O.F.Ps, the present questions and issues which are to be solved is as follows: Consumer's confidence for O.F.Ps should be obtained broadly and formally. Particulary, the use of brand such as 'no pollution' or ' no pesticides' should be forbidden without institutional certification. Thus cosumers should be able to distinguish O.F.Ps from general farming products(G.F.Ps) by the brand. Also physical marketing is inefficient since many items are marketed in small amount, and marketing cost is spendedtoo much relatively. Physical marketing center to cut down this expenses should be constructed under government support largely. And the consumers' price of O.F.Ps tends to be fixed all the year round. Owing to this feature, the consumers' price of G.F.Ps have severely influece upon at once demand and supply of O.F.Ps. The associations of consumer and producer should allow O.F.Ps price to fluctuate in proportion to G.F.Ps price. Besides, both should vary marketing patterns. Finally, government should help both associations legally and institutionally to improve all economic activities.