• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.9
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• pp.1342-1353
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• 2002

The purpose of this study was to provide the basic information to be helpful in establishing more rational prices discount strategy in prices discount advertising. The experiment design for study was a $3{\times}2{\times}3$ between subject factorial design in which the factors were discount presentation types(discount price presentation/discount rate presentation/discount price and discount rate presentation), existence of normal price presentation(presentation/ non-presentation) and semantic cues(regular sales/markdown on the previous season's product/storehouse opening sales). Thirty subjects were randomized in one of 18 experimental conditions. The subjects of this study were 540 female university students in Kwangju, Korea. The results were as follows; 1. Significant interaction effects between discount presentation types and the semantic cues were found in perceived transaction value(p<.01), perceived acquisition value(p<.05), and purchase intention(p<.05)- It means that discount presentation types in prices discount advertising need to present differently according to price discount types. 2. Significant interaction effects between existence of normal price and the semantic cues were not found. It means that normal price need to present in prices discount advertising regardless of price discount types.

• Korean Journal of Organic Agriculture
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• v.31 no.4
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• pp.309-325
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• 2023

GMO labeling system in South Korea stipulates three labeling methods: GMO labeling, no labeling and Non-GMO labeling. Products labeled as Non-GMO are not allowed for unintentional commingling of GMO without tolerance. However, consumers vary their acceptance of Non-GMO label on the unintentionally commingled products and willingness to pay according to the mixing rate, rather than devalue the whole products as useless. Additionally, consumers do not believe that the acceptable mixing rate should be discriminated between non-labeled products, which allow up to 3% of unintentional GMO contamination, and Non-GMO labeled products. Information on unintentional GMO mixing mainly refers to the mixing rate, but the Non-GMO content remaining even after commingling is also important information. The decline in value is alleviated when consumers are exposed to positive information, such as Non-GMO content, rather than when exposed to negative information, such as the mixing rate. Loss Aversion Coefficient is relative depending on whether the information representing the loss is positive or negative. Information that a Non-GMO labeled product contains X% GMO is more sensitive than information that (100-X)% Non-GMO remains.

• Asia pacific journal of information systems
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• v.24 no.4
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• pp.443-472
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• 2014

To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.

• The Korean Journal of Community Living Science
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• v.23 no.3
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• pp.291-305
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• 2012

The purpose of this study was to explore the consumer responses such as willingness to pay premium and purchasing cost for fair trade coffee as an ethical product while considering the treatment effect of consumer knowledge. First, the levels of consumer knowledge, willingness to pay premium and purchasing cost were presented. Then, the influencing factors on willingness to pay premium and purchasing cost of fair trade coffee were analyzed by applying the treatment effect model. From the results, first, the level of willingness to pay premium was high and consumers having purchasing experience of fair trade coffee spent 9,923 won at once, while less than half of the consumers knew the fair trade coffee. Second, consumer knowledge, ethical judgement, perception of price value, education level and pocket money significantly influenced to willingness to pay premium, while consumer knowledge, information evaluation, importance of fair trade criteria and level of education significantly influenced to purchasing cost for fair trade coffee. Especially, consumer knowledge of fair trade coffee was an important influencing factor for willingness to pay premium and purchasing cost indirectly as well as directly. Thus, this study might provide some useful information for consumers to choose the ethical behavior and the related companies to create effective promoting strategies for ethical products.

• Journal of Fashion Business
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• v.23 no.1
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• pp.74-88
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• 2019

The purpose of this study is to explore university students' Hanbok rental behavior and to examine factors that influence their intention to rent Hanbok. Questionnaires were distributed in Universities in the Seoul metropolitan area, and the final 202 responses were used for data analysis. For data analysis, descriptive statistics, factor analysis, cluster analysis, t-tests, and multiple regressions analysis were used. Sixty-one percent of those who have experienced Hanbok rental said they rented Hanboks to experience tourism and 22 percent said they rented Hanboks to take pictures, and the main rental places are tourist attractions such as Jeonju Hanok Village. Respondents indicated that the design and color of Hanbok were important product attributes when they consider renting a Hanbok. They also indicated that the opinions of other users posted on the Internet/Social Network were their main source of information for Hanbok rental. The result of cluster analysis showed that there were two groups of Hanbok rental consumers based on clothing consumption values: novelty-seeking group and practicality-seeking group. The two groups were different in terms of few factors of the benefit sought of Hanbok rental, product attributes, and information sources. Regression analysis revealed that traditional culture perception, purpose-built Hanbok pursuit benefit, pragmatic pursuit benefit, attitude toward Hanbok, and the previous Hanbok rental experience significantly affected respondents' intention to rent Hanbok. Based on the results, this study summarizes the key features of each group and provides suggestion for developing strategic marketing activities.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.197-208
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• 2020

Social enterprises are entities to pursue solving societal problems with maintaining commercial viability. In order for a social enterprise to achieve commercial viability, it must be able to provide products that consumers can satisfy, to make social enterprise trustable, and to establish a lasting relationship with customers. This study suggests that perception of value congruence, price fairness and service quality will affect customer performance such as trust, satisfaction and customer loyalty. And this structural relationship was confirmed through structural equation modelling. The empirical results show that customer trust and satisfaction can be improved when the value congruence is high and service quality is high. Meanwhile, the perception of price fairness has a negative effect on customer trust. However, considering the influence of price fairness on customer satisfaction, the total effect of price fairness on trust is not significant. This result implies that customers are less sensitive to social enterprise product prices than general companies. And customer satisfaction for the social enterprise is positively affecting trust and loyalty, and customer trust is also positively affecting customer loyalty. After the empirical analysis, this study suggests implications for social enterprises to improve customer performance and secure commercial viability.

• Archives of design research
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• v.17 no.3
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• pp.313-322
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• 2004

Product design has direct effects on sales, exciting consumer's interest in purchasing. With the draft bill of Road Traffic Law passing the National Assembly, drivers have been entirely prohibited by the law from using a cell phone while driving since June 30, 2001, As a result, the demand for and the sales of hands-free Kit products for vehicles have been skyrocketing, and more and more of them have been introduced in the market and competing each other in sales. In these situations, the study attempted to present a case study showing the whole process of product design by a small company, which intended to gain an advantage over the competitors in the sector of hands-free products for vehicles with differentiated design. The product whose design development process was presented in the study has many characteristics. Among them it is the most remarkable in removing the connection between the cell phone terminal and the stationary hands-free product. The study was aimed to increase the investment value of design by helping understand that the ultimate goal of technology is commercialization and that how great the role of design is from the beginning to the final stage of product development. It also emphasized the point that one of the goals of design development should lie in providing a more accurate perception of the importance of design to the industry, by establishing a design process throughout the whole stages of product development including initiation, designing and commercialization.

• Journal of the Korean Dietetic Association
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• v.11 no.3
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• pp.341-352
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• 2005

This study was based on the information provided by 1,180 elementary school children (630 boys and 550 girls) of 5th or 6th grade in Changwon and Gimhae of Gyeongnam province. They were asked about perception and preference for rice foods by questionnaires. The purpose of this survey was to find the way of encouraging rice intake and preference which is currently getting lower because of increasing simple westernized eating habits, and to provide basic information needed for inheriting and improving our traditional rice-based dietary culture. The results are summarized as follows. Most of subjects (91.2%) thought that steamed rice is better than bread for own health. The reason why they chose to eat steamed rice was 'because it is good for health' (61.2%), and 'because it is staple food item that we eat everyday' (26.4%). Seventy one percent of girls and 52.7% of boys gave the answer 'because it is good for health' as the reason for eating steamed rice. The reasons for the importance of the rice-based dietary culture were 'because of its superior nutritional value' (40.8%), and 'because it is our traditional eating culture' (28.6%). While significantly more girls (42.9%) answered as 'because of its superior nutritional value', more boys (39.0%) answered as 'because it is our traditional dietary culture'. More boys (59.0%) preferred noodles than girls' (54.7%), and fruits were preferred more by girls than boys as substitution foods for steamed rice showing significant difference (p<0.01). They wanted rice product developed in the forms such as Ssalamyun (29.8%), Ssalmandoo (24.1%), rice noodles (20.6%), and rice bread (15.6%). The preference score on rice products of subjects was one dish meals (4.27) and drinks (4.26), snacks (3.72), convenience foods (3.61), and steamed rice (3.44) in order. Preferred food showing points over 4 were Ssalbap (plain steamed rice) (4.29) in steamed rice type food, Kimchi bokeumbap (4.56), Bokeumbap (4.55), Bibimbop (4.45), Omelet rice (4.44), Kimbap (4.42), Ddukkuk (4.33), Curried rice (4.33), Jajangbap (4.28), and Ddukmandookuk (4.24) in one dish meal type food, Samgak Kimbap (4.26) in convenience type food, Songpyun (4.48), Injulmi (4.18), Teokbokki (4.71), Ddukkochiguyi (4.46), and rice cookies (4.24) in snack type food, and Shikhye (4.61) and Misugaru (4.28) in drink type food. Based on these results, it may be said that elementary school children think the rice-based diet is good for health and this dietary culture should be inherited and developed not only in a traditional aspect but also in a nutritional aspect. Therefore, more studies are needed to develop various forms of rice food products and cooking recipes.

• Science of Emotion and Sensibility
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• v.21 no.3
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• pp.3-16
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• 2018

Despite the substantial changes made in the product design field to adopt light as an essential design element, there has been little effort to define how customers respond emotionally to the light design of products. Therefore, it is necessary to analyze the emotional effect of light as a new design element. However, previous research focuses solely on deriving optimal lighting conditions to achieve particular emotional effects. Therefore, this paper investigates the customers' desired emotional effects of product's light design. We studied refrigerators that utilize light as the main design element of the product. We applied mixed methods by combining close-ended questions and open-ended question to efficiently derive the desired emotion. Participants were asked to choose the most favorable refrigerator image in each of the twelve image groups and indicate why they choose that image with the short-answer survey form. Approximately one thousand terms were collected, and those terms were classified into 29 groups using thesaurus relationships. The term groups were again classified into the four big emotion categories and labelled as "abstract quality," "light property," "space perception," and "visual comfort." Also, a model of the relationship between desired light style and light properties was proposed, since we observed the light properties related to three other categories. This study used mixed methods to identify the emotional value of a new design element. We suggest that the emotional categories derived and the proposed relationship model could be used to evaluate the product's light design.

• Journal of the Korean Society of Food Culture
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• v.36 no.5
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• pp.421-429
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• 2021

Local non-timber forest products can be easily accessed by tourists. These also provide opportunities for tourists to experience the local culture. Many local governments are paying constant attention to the development of non-timber forest product brands to revitalize the local economy and increase the profits of local farmers. Although there are many forest products and tourism resources in each region of Korea, there is no local specialized strategy to sell non-timber forest products and promote consumers' purchase intentions. In this study, we aimed to explore the consumers' perceived creating shared value (CSV) and its association with purchasing behavior of non-timber forest products in Jeongeup city, Korea. Data were collected from 1,066 consumers who had purchased non-timber forest products. Purchasing patterns of local specialty products differed depending on consumers' perceived CSV levels. In addition, consumers with higher levels of perceived CSV showed higher awareness and familiarity with Jeongeup city and experienced Jeongeup city's non-timber forest products. Our findings suggest that improving consumer perception towards CSV of non-timber forest products can be used as a marketing strategy for local non-timber forest products to revitalize the local economy.