• Journal of Distribution Science
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• v.12 no.11
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• pp.67-76
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• 2014

Purpose - PB (Private Brand) refers to the product for which the distribution company plans the production independently, consigns the production to the manufacturer, or attaches the self-developed trademark and sells it. To reinforce competitiveness in such a market environment, diverse products development, systematic management activities, and marketing efforts to analyze and understand the consumers' behavior regarding PB products are emphasized. Therefore, this study aims to investigate the relationships among PB product attributes, consumption emotion, brand attitude, and brand loyalty in general supermarkets. First, PB product attributes were defined using the five categories of perceived price, store image, familiarity, perceived service, and perceived quality, based on preceding studies. This study examined the influence of PB product attributes on consumption. Further, this study examined the relation among consumption emotion, brand attitude, and brand loyalty. This study provides more detailed and concentrated strategic implications. Research design, data, and methodology - In this study, the research model was designed to examine the relation among PB product attributes, consumption emotion, brand attitude, and brand loyalty. For the data collection method, the questionnaire survey comprised multiple items for each component and the direct interview method was employed. To collect data, the questionnaire survey was conducted for customers who personally visited the general supermarket after verifying the PB product purchase experience. The questionnaire survey was performed for one month, May 2014. A total of 300 questionnaires were distributed and 240 questionnaires were used for the analysis, excluding the unanswered and insincere questionnaires. The data were analyzed using SPSS ver. 20.0. Results - First, PB product attributes had a significantly positive effect on consumption emotion. The PB product attributes perceived by the customer at the point of service contact are important to form the positive consumption emotion. Second, consumption emotion had a significantly positive effect on brand attitude. Third, the consumption emotion had a significantly positive effect on brand loyalty. Such consumption emotion is an important factor in causing the positive evaluation on the brand attitude perceived by the customer. Fourth, brand attitude had a significantly positive effect on brand loyalty. The consumption emotion was positively represented to invoke the relational continuance behavior. The relational continuance behavior accompanies the repetition of purchase, word of mouth, and recommendation activities, and influences trust regarding the brand, for which the customer maintains the transaction continuously. Conclusions - The PB product attributes perceived by the customer at the point of service contact are important factors to form the positive consumption emotion. Based on this result, the discount store service provider would prepare the measures that can make the customer recognize the positive value, and make more detailed efforts. Consumption emotion is an important factor to cause the positive evaluation on the brand attitude perceived by the customer. Based on this result, the general supermarket must make efforts to provide fun or convenience in the purchase process for consumers.

• The Journal of Industrial Distribution & Business
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• v.10 no.7
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• pp.39-48
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• 2019

Purpose - The purpose of this study was to explore the impact of chatbots' innovation attributes on the innovation acceptance for consumers who have used chatbots to purchase fashion products that account for a large share of transactions in mobile shopping. Research design, data, and methodology - Data were collected from Korean consumers aged 20 to 49 who had experience using chatbots when purchasing fashion-related products via mobile circumstances. After a pilot survey of 31 customers, pre-questionnaire was revised for the final test, and the final questionnaire was distributed to 1,500 subjects. Out of these, 244 were retrieved. After excluding 48 inappropriate responses, 196 were used for statistical analysis. Frequency analysis, exploratory factor analysis, one-way ANOVA, regression analysis and independent t-test using SPSS 23.0 were employed for data analyses. Results - First, four factors of chatbots' attributes were extracted: relative advantages and compatibility, complexity, sensibility, and diversity. Second, two factors were extracted for fashion leadership: fashion opinion leadership and fashion innovativeness. Two groups based on the fashion leadership were identified: active innovation adopters and passive innovation adopters. Third, relative advantages and compatibility, diversity, sensibility of innovation attributes were found to have effects on the innovation acceptance in order. Fourth, significant differences were found in sensibility of innovation attributes and innovation acceptance in groups by marital status and age. The married in their 30s and 40s perceived sensibility as a more important attribute of chatbots than the unmarried in their twenties. Among the groups of different income levels, meaningful differences were found in diversity of innovation attributes and innovation acceptance. Fifth, there were significant differences found in relative advantages and compatibility, sensibility of innovation attributes, and acceptance of Innovation among the groups by fashion leadership. Active innovation adopters were found to be more aware of the importance of relative advantages and compatibility, and sensibility of innovation attributes, and innovation acceptance. Conclusions - The present study provides chatbots' marketing strategies for fashion items need to be modified by demographic characteristics and fashion leadership. Particularly, fashion leadership was found to be an important factor in determining the perception of innovation attribute as well as innovation acceptance.

• Korean Journal of Human Ecology
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• v.22 no.2
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• pp.343-355
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• 2013

E-reviews, electronic reviews, are generally perceived as trustworthy and credible by the consumers, because it is based on the experiences of other consumers who are independent of the marketers. Therefore, consumers may rely more on the review information as an important cue than direct experience or advertising. This paper explored the structural equation model to investigate the relationships among search motives of e-reviews, attributes of e-review, trust, and purchase intention for cosmetics. A self-questionnaire was developed based on previous researches. Data were collected from 300 female university students experienced purchasing cosmetics at the Internet and were analyzed by AMOS 20.0. Results showed that e-review attributes consisted of three factors: expertise/visuality, quality/functionality and advertising/design. Utilitarian and hedonic search motives were significantly related to expertise/ visuality attributes of e-review and then influenced the purchase intention for cosmetics, mediated by the trust of e-review. However, quality/functionality attributes related by utilitarian motive did not have a significant effect to trust of e-review and purchase intention for cosmetics. Regardless of search motives and trust of e-review, advertising/design attributes of e-review directly related to purchase intention of cosmetics. As predicted, the trust of e-review was an important mediated variable to stimulate the purchase intention of cosmetics at internet. The implications of findings for research and practice are discussed.

• The Journal of Korean Academic Society of Nursing Education
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• v.29 no.1
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• pp.27-40
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• 2023

Purpose: The study aimed to examine the concept and attributes of the quality of clinical nursing education for new graduate nurses. Methods: This study adopted a hybrid model introduced by Schwartz-Barcott and Kim. In the theoretical stage, the meaning and attributes of the quality of clinical nursing education for new graduate nurses were determined by analyzing eight articles. In the fieldwork stage, data were collected using semi-structured interviews with five new graduate nurses and seven experienced nurses. The data were analyzed by qualitative content analysis methods developed by Elo and Kyngӓs. In the final analysis, a final result was arrived at comparing, contrasting, and integrating the attributes of the concepts derived in the theoretical and field-work stages. Results: The quality of clinical nursing education for new graduate nurses was identified as excellence or the standard of education for new graduate nurses that would support them in adapting to clinical settings and transitioning to professional nurses. The attributes of the quality of clinical nursing education were founded to possess three dimensions, six categories, and 18 attributes. The multidimensional attributes of the quality of clinical nursing education for new graduate nurses were confirmed as education resources, design, method, content, evaluation, interaction, and outcome under the three dimensions of input, process, and output. Conclusion: The concept and nature of the quality of clinical nursing education observed in this study can be utilized as a basis for the future development, evaluation, and improvement of clinical nursing education for new graduate nurses in healthcare organizations.

• Science of Emotion and Sensibility
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• v.15 no.4
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• pp.565-574
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• 2012

This study focuses on a consumer-based design process that overcomes practical drawbacks of the previously used design process. On the contrary of the existing method of attracting design attributes by designers' own insights, it present the PRETREE model that attracts the important design attributes of the products based on consumer preferences. The PRETREE model has the advantage that it does not require identifying design attributes a priori. For the wire-wireless telephones, this study presents the identifying process the important design attributes empirically using PRETREE Model. The PRETREE Model has been widely used in the fields of psychology, consumer science, economics and business administration. It might also be useful in the design field because it can identify the important design attributes objectively without designers' own insights.

• Journal of the Korean Home Economics Association
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• v.43 no.7 s.209
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• pp.117-128
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• 2005

The purposes of this study were 1) to examine the conceptual structure of shopping value, fashion shopping mall attributes and emotions related to internet shopping, 2) to compare between hedonic consumers and utility consumers of fashion shopping mall attributes, emotions and purchasing intention and 3) to investigate the effects of shopping value, fashion shopping mall attributes, emotions and purchasing intention on purchasing behavior in internet fashion shopping malls. Data were obtained from 423 internet fashion shopping mall consumers who have bought products or visited an internet fashion shopping mall. The data were analyzed by using factor analysis, Cronbach's alpha, t-test and discriminant analysis. The results showed that shopping values perceived by internet fashion shopping mall consumers consisted of two factors: Hedonic value and Utility value. Internet fashion shopping mall attributes were composed of Visual information, Loading speed, Space composition, Product assortment, Checkout service and Help desk. Emotions were composed of Excitement Confidence, Displeasure and Uneasiness. There results demonstrated that hedonic consumers were more likely to perceive the factors of fashion shopping mail attributes, to experience various, emotions and to have more purchasing intention than utility consumers. Additionally, the findings suggest that shopping value is important in predicting the purchasing behavior of consumers' at internet fashion shopping malls. They gave insights into the promotion development of internet fashion shopping malls. Implications are drawn for the information useful to consumer behavior researchers and retailers of internet fashion shopping malls.

• Journal of the Korean Home Economics Association
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• v.46 no.5
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• pp.63-71
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• 2008

The purposes of this study were (1) to analyze the absolute and relative importance of tourists' choice attributes of restaurants and (2) to compare tourists' choice patterns with the prediction of restaurant operators in the tourism provinces of Gangwon-do, Empirical data for this study were collected from the 77 tourists and 66 restaurants operators. The attributes and attribute levels for the hypothetical profiles were decided from a focus group interview and 15 profiles were selected from fractional factorial designs. The SPSS/WIN 12,0 conjoint procedure was used to calculate the utility scores and simulate the profiles, According to the analysis on the relative importance of tourists' choice attributes of restaurants, food taste was the most important attribute(36.9%), followed by facility cleanliness(28.5%), dishes cleanliness(24.5%), price(19.3%) and service(18.3%). The tourists' ratings of the importance of the individual attributes differed from the ranking of the relative importance of the same attributes as derived from the conjoint analysis. The operators rated dishes cleanliness(27.6%) as also important, followed by food taste(27.7%), in choosing a restaurant Tourists' preference and operators' prediction of hypothetical profiles showed significant difference in L(p < .05), O(p < .01), M(p < .05), and H(p < .01) restaurants. Operators who want to differentiate themselves from their competitors should make decisions based on an increased understanding of tourists' restaurant choice decision process and measure the latent needs of tourists in the tourism provinces.

• Journal of Korea Technology Innovation Society
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• v.21 no.3
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• pp.1127-1154
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• 2018

This paper aims to contribute to estimating the value of a patent by explaining the unobservable attributes of patent quality using observable patent citation indices. The paper first constructs patent citation data and identifies firm, university, and research institute among assignees, and then tries to explain attributes of patent quality using backward citation indices. Backward citation indices carrying information about technological sources which a given patent is based on turn out to be good predictors of forward citation indices carrying information about attributes of patent quality. Finding the functional relationships between attributes of patent quality and backward citations will lead to the improved estimation and prediction of patent value. It is found out that backward citation indices are strongly correlated the technological diversity of a patent. The paper also suggests that with whom an organization chooses to collaborate affects the attributes of patent quality.

• The Korean Journal of Franchise Management
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• v.12 no.1
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• pp.7-19
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• 2021

Purpose: According to the growth of technology in the service industry, the interaction service between customer and employee has recently been transformed into between customer and technology by Self Service Technology (SST) requiring direct interaction with customers. In this context, self service technology such as unmanned ordering system installed at the store is actively introduced at the work place to reduce labor costs by food and retail company and the research for self-service technology which is rapidly replacing existing face-to-face service is needed. As the growth speed of SST is rapid, many researchers have studied the characteristics of SST, in every sector of business worldwide. Among the characteristics, attributes, Self Service Technology Quality (SSTQUAL) to evaluate SST is important because it may cause the customer's behavior. Thus, this research focuses on the effects of SSTQUAL on SST Satisfaction and SST continuance usage intention. This research suggests the guidelines for how Restaurant Company should prepare SST and build their customer satisfaction and continuance usage that increase the sales. Research design, data and methodology: This study tests the structural relationship between SSTQUAL of unmanned ordering system, SST satisfaction and SST continuance usage. SSTQUAL divided into four sub-dimensions and two categories, cognitive service attributes (Convenience, Functionality) and affective service attributes (Enjoyment, Assurance). In order to achieve the purposes of this research, research model and hypotheses were developed based on previous researches. All constructs were measured with multiple items developed and tested in the previous studies. The data were collected from 524 customers experiencing SST and were analyzed through SPSS 25.0 and SmartPLS 3.0 statistical package program. Results: The findings of this research are as follows. First, all SSTQUAL have significant positive impacts on SST satisfaction. Second, SST satisfaction has significant positive impact on SST continuance intention. Third, cognitive service attributes and affective service attributes had wealth of explanation of service attribute more than a single dimension. Conclusions: The implications of this study are as follows. Overall, Restaurant Company should manage SSTQUAL consisting of not only cognitive service attributes (Convenience, Functionality) but also affective service attributes (Enjoyment, Assurance) to satisfy customers basically regardless of the type of restaurant.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.122-127
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• 1998

This paper suggests an integrated method for discovering knowledge from a large database. Our approach applies an attribute-oriented concept hierarchy ascension technique to extract generalized data from actural data in databases, induction of decision trees to measure the value of information, and knowledge reduction of rough set theory to remove dispensable attributes and attribute values. The integrated algorithm first reduce the size of database for the concept generalization, reduces the number of attributes by way of elimination condition attributes which have little influence on decision attribute, and finally induces simplified decision rules removing the dispensable attribute values by analyzing the dependency relationships among the attributes.