• Korean Journal of Community Nutrition
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• v.15 no.1
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• pp.83-93
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• 2010

The purpose of this study is to investigate consumer perception and importance of food tourism properties and performance of the properties in Sangju province of Gyeongsangbuk-do. The study has found that persons who have food tourism experiences (75 persons, 50.7%) had slightly more than not experience persons (72 persons, 48.6%). Additionally, most of the respondents were usually satisfied with the local foods. Also, it was found that food tourism had been taken 1-2 times per 6 months (48 persons, 64.0%) on average, and 135 persons (91.2%) had intention of experiencing food tourism. According to the result of Importance-Performance Analysis (IPA) on consumers' food tourism properties, high importance was on 'There are attractive landscapes.' ($4.52\;{\pm}\;0.56$), 'Accommodations with reasonable price.' ($4.18\;{\pm}\;0.80$), and 'The food of the area is famous.' ($4.15\;{\pm}\;0.73$); and the properties such as 'There are local specialty shops or markets selling local produce.' ($3.03\;{\pm}\;0.83$), 'The climate is temperate.' ($3.03\;{\pm}\;0.87$), and 'There are attractive landscapes.' ($3.02\;{\pm}\;0.98$) showed average performance. A factor analysis about consumers' importances to the food tourism properties shows that the factors were divided into four kinds and each of the factors were named as 'convenience-stable propensity', 'valued-oriented propensity', 'adventurous-aggressive propensity' and 'traditional-active propensity'. Variance ratios of each factor were 22.319%, 10.286%, 8.723% and 6.239%, respectively. According to the result of a reliability analysis, Cronbach's alpha value was 0.8621, implying that reliability of each item was very high. Therefore, it is considered that development of food tourism products and promotion strategies therefore should be designed based on the importance of food tourism properties hereafter.

• Journal of Korea Trade
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• v.26 no.2
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• pp.65-83
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• 2022

Purpose - The purpose of this study is to evaluate the economic effects of FTAs using the concept of value-added exports. So far, the economic effects of FTAs have been dependent on decrease in import prices due to tariff cuts in importing countries, but the actual tariff reduction need to consider the value added of the exporting countries. Design/methodology - Value-added export refers to the added value created in the exporting country out of total exports. Among value-added exports, direct value-added export is interpreted as the Regional Value Contents (RVC), from which the economic effect of the FTA can be analyzed. A modified GTAP-VA model takes into account RVC in order to estimate accurate effects of FTAs. Findings - By the re-evaluation of the FTA based on the RVC, this paper makes it clear that the economic effects of the existing FTA methodology have the possibility of overestimation. In addition, as a new FTA with a strengthened Rules of Origin (ROO) is being initiated, a negative impact on international trade and GVC utilization may occur. Originality/value - This study introduces the concept of value-added export in analyzing the effects of FTAs. The new analysis methodology of this paper emphasizes the importance of value-added exports. Re-organization of GVCs would change regional trade agreements and empower ROO by weakening existing GVCs and transforming the value chain from global into regional scope.

• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.527-532
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• 2007

Differentiation strategies have been suggested as the critical sources of competitive advantage in B2C industry where customers can switch internet shopping mall with one click with virtually no transaction cost. Indeed, competition on low pricing cannot be a viable strategy in B2C industry. Moreover, cultivating customer loyalty to attain profitability is still a challenging task for most internet shopping mall. In this study, we provide empirical analysis results on key managerial variables that indicate the difference between the product categories in terms of customer perception on relative value importance. We first identified comprehensive managerial variables and organized them in terms of customer decision stage. Next, with reference to extant literatures on product characteristics based e-commerce strategy, hypotheses are developed to formalize the customer value differences on the key managerial variables. Empirical testing results indicated that there are significant differences on customer perceived value of the key managerial variables between the product groups. The findings provide useful insight for further study on e-commerce differentiation strategy.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.267-273
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• 2015

For newly incoming technologies owing to the advancements in information and communications technology, the new form of information occurs due to the combination form of personal information. In turn, personal information which is combination with existing personal information is on the increase. It is difficult to equalize the method in order to analysis the degree of risk for personal information because it is qualitative method which is defined on the current Personal Information Protection Law. This dissertation presents the model to assess the degree of risk by using the IPA(Importance-Performance Analysis) after measuring the importance and the weighted value for the personal information based on the existing the method of risk assessment. Through the model suggested in this dissertation, the subjective judgement can be excluded, the combination of personal information can be assessed and the standard criteria which is used as the objective indicators from the quantitative degree of risk can be suggested.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.6
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• pp.853-864
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• 2002

The purpose of this study was to measure consumption values and to investigate the differences in the process of decision making when purchasing apparel products among groups divided by consumption values. A self-administered questionnaire was distributed to 550 subjects in their 20's and 30's from Sepember 29th to October 25th in 2001; 463 were used for the data analysis. The results of this study were as follows; Consumption values were classified into five factors: Practical/functional value, Social/conformitive value, Subjective/aesthetic value, Epistemic value and Conspicuous value. Subjects were classified into 4 groups based on consumption values: the Conspicuous, the Epistemic, the Social/conformitive and the Indifferent. There were significant differences among the four groups in selected motives in the problem recognition process. Significant differences were found among the groups in own taste & personality in the information search process. Significant difference were also found in the importance of design, color, price, coordination, fashion and self-image in the alternative evaluation process.

• Fashion & Textile Research Journal
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• v.17 no.3
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• pp.372-381
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• 2015

This study investigates differences in fashion products attributes, mobile shopping mall attributes, impulse buying behavior, and satisfaction according to mobile shoppingconsumption value. The findings provide new information on marketing strategy for mobile shopping malls. A total of 283 usable questionnaires were obtained from college students. Data were analyzed by frequency analysis, factor analysis, and ANOVA using SPSS 21.0 for Windows. The results were as follows. First, according to the consumption value, consumer were classified into 3 groups: social/functional oriented, indifference and epistemic/emotional oriented. Second, the conspicuous-functional pursuit group considered utility and exhibition more important in regards to fashion products attributes for the consumption value group, the personality pursuit group also considered aesthetics and utility more important than other groups. Third, conspicuous-functional pursuit group considered continuous management more importantin regards to the importance ofmobile shopping mall attributes for the consumption value group, the personality pursuit group considered informationexchange more important than the other groups. Fourth, the conspicuous-functional pursuit group and Personality pursuit group considered impulse purchase behavior more important than the emotionalpursuit group. The conspicuous-functional pursuit group considered satisfaction after impulse purchase behavior more important than other groups.

• Journal of Digital Convergence
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• v.9 no.3
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• pp.105-116
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• 2011

The innovation is an important element controlling national economic growth and the competitive power reinforcement of the company. The developed nations concentrate interest on upbringing and investment in knowledge intensive industry and advanced technology base industry for national competitive power reinforcement. I support in particular it as Korean representative industry in the case of the advanced technology base industry positively in the government. Though a patent can become the important competition predominance element of the company by such an advanced technology base industry, this and the proof study in the country to be concerned with are the facts that are not enough now. As for the article of the book, what kind of difference there is in importance by IT and BT industry distinction comment on current events value factors of the patent valuation; of the study is aimed. I derived an importance factor among factors shown in the valuation model of the patent valuation organization and an existing precedent study for comparison analysis in the study and used it. In addition, it was analysis hello it utilized AHP technique, and what kind of difference patent value evaluation important factors showed by IT and BT industry distinction. Analysis, Because patent value evaluation important factors showed a difference by industrial distinction, I appeared.

• The International Journal of Costume Culture
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• v.7 no.1
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• pp.17-27
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• 2004

Using semiotic analysis, visual images in selected postmodern fashion advertisements were analyzed. Semiotics is the study of the structure of the meanings of signs. Semiotic analysis involves deconstruction, and thus draws on the researcher’s value-mediated introspection and subjective interpretation of texts i.e., ads). Through deconstruction, culturally assigned meanings, which represent consumers and culture, were revealed. Postmodern characteristics including open interpretation, use of the human body as an object, multi page format, new mood, black and white scenes, use of real people, and new ideology were identified in the ads. The importance of analyzing visual images in fashion ads was stressed in the findings of the study, as was the importance of educating consumers on how to read the visual images.

• Journal of the Korean Applied Science and Technology
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• v.40 no.5
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• pp.1043-1054
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• 2023

Amidst the rapid growth of the vegan cosmetics market, consumer orientation towards environmental and ethical values has been intensifying. However, research on this subject remains limited. This study delves into the relationship between consumer value perception, environmental motivations, and perceived barriers influencing the purchase intentions of vegan cosmetics. Conducting a PLS-SEM analysis on a sample of 300 women with experience using vegan cosmetics, it was discerned that monetary value, social value, brand value, emotional value, quality value, and environmental knowledge play significant roles in influencing purchase intentions. The moderating effect analysis highlighted image barriers and value barriers as crucial factors. Through Importance-Performance Map Analysis, emotional value emerged as a pivotal element in strategizing to strengthen the purchasing intentions for vegan cosmetics. This research contributes both theoretically and practically to enhancing the competitive edge of the vegan cosmetics market and promoting sustainable consumption behavior.

• Journal of Korean Society on Water Environment
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• v.38 no.6
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• pp.292-305
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• 2022

The Yeongsan River, one of the four largest rivers in South Korea, has been facing difficulties with water quality management with respect to algal bloom. The algal bloom menace has become bigger, especially after the construction of two weirs in the mainstream of the Yeongsan River. Therefore, the prediction and factor analysis of Chlorophyll-a (Chl-a) concentration is needed for effective water quality management. In this study, Chl-a prediction model was developed, and the performance evaluated using machine and deep learning methods, such as Deep Neural Network (DNN), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost). Moreover, the correlation analysis and the feature importance results were compared to identify the major factors affecting the concentration of Chl-a. All models showed high prediction performance with an R² value of 0.9 or higher. In particular, XGBoost showed the highest prediction accuracy of 0.95 in the test data.The results of feature importance suggested that Ammonia (NH₃-N) and Phosphate (PO₄-P) were common major factors for the three models to manage Chl-a concentration. From the results, it was confirmed that three machine learning methods, DNN, RF, and XGBoost are powerful methods for predicting water quality parameters. Also, the comparison between feature importance and correlation analysis would present a more accurate assessment of the important major factors.