• Nutrition Research and Practice
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• v.14 no.4
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• pp.401-411
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• 2020

BACKGROUND/OBJECTIVES: The expansion of menu labeling to restaurants has created a need to study customers' behavior toward nutrition information. Therefore, the purpose of this research was to compare college students' behavior toward nutrition information communication between Korea and the US. This study consisted of three objectives: 1) to compare the frequency of usage as well as degree of trust regarding smartphone-based communication channels in the acquisition of nutrition information among college students between Korea and the US, 2) to compare knowledge-sharing behavior related to nutrition information among college students between Korea and the US, and 3) to identify the role of country in the process of knowledge-sharing behavior. SUBJECTS/METHODS: A survey was distributed via the web to college students in Korea and the US. Data were collected in the 2nd week of March 2017. Completed responses were collected from 423 Koreans and 280 Americans. Differences between Koreans and Americans were evaluated for statistical significance using a t-test. In order to verify the effects of knowledge self-efficacy and transactive memory capability on knowledge-sharing behavior related to nutrition information, a regression analysis was performed. RESULTS: Significant differences were found in the frequency of usage as well as degree of trust in communication channels related to nutrition information between Korean and American college students. While knowledge self-efficacy and tractive memory capability had positive effects on knowledge-sharing behavior related to nutrition information, country had a significant effect on the process. CONCLUSIONS: This study is the first to compare customer behavior toward nutrition information acquisition and sharing between Korea and the US. Comparative research on nutrition information revealed differences among the different countries. Therefore, this study contributes to the body of knowledge on the nutrition information research, in particular, by providing a comparison study between countries.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1063-1072
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• 2004

In the ASP(Application Service Provider) business, applications using database sometimes require some data from clients' databases. These days such data are extracted from client database using manual database operations as an EXCEL file and the ASP, once receiving this file, transfers it into the application's database using manual database operations. This paper describes how to deal with data transmitting between the client database and ASP database on the web without using database manual operations for data extraction and insertion. We propose a framework which enables to transmit client data in a systematical way, to match different attribute names of each database for sharing same attribute values, and to avoid exposing information about the network path of client database to the ASP. This approach consists of two steps of data processing. The first is extracting data from client database as XML format by using a downloaded client program from ASP site, the second is uploading and storing the XML file into the ASP database. The implemented prototype system shows the suggested data integration paradigm is valid and ASP business needing integration of client database can be activated using it.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.6
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• pp.309-314
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• 2017

In general, there are many difficulties in collecting, storing, and analyzing SNS (social network service) data, since those data have big data characteristics, which occurs very fast with the mixture form of structured and unstructured data. In this paper, we propose a new data visualization framework that works on Apache Storm, and it can be useful for real-time and dynamic analysis of SNS data. Apache Storm is a representative big data software platform that processes and analyzes real-time streaming data in the distributed environment. Using Storm, in this paper we collect and aggregate the real-time Twitter data and dynamically visualize the aggregated results through the tag cloud. In addition to Storm-based collection and aggregation functionalities, we also design and implement a Web interface that a user gives his/her interesting keywords and confirms the visualization result of tag cloud related to the given keywords. We finally empirically show that this study makes users be able to intuitively figure out the change of the interested subject on SNS data and the visualized results be applied to many other services such as thematic trend analysis, product recommendation, and customer needs identification.

• Archives of design research
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• v.14 no.1
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• pp.17-26
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• 2001

A shopping mall sie is the area which males use of the Internee activity as a medium in business transactions, But their growth rate of revenues does not keep up with the growth rate in the number of internet users. One of the reasons why they fall behind of the expected earning proportionate to the growing number of internet user is that the shopping sites do not satisfy various need of customers on the web. This comes from that there has been not enough efforts on a shopping site design satisfying their needs. This paper is to find the elements of the shopping site design to affect the my customers purchase goods on the internet on the premise that a design being closely related with a marketing strategy makes a good design. This paper consists of three parts. The first chapter is about related works inducing e-commerce, marketing as wet as design theory. In the second chapter, data are analyzed to find the elements of a good design. The data are categorized by criteria of general properties, elements in design theory, demographic characteristics and hypothesis tests are done. The third chapter is the conclusion.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.2
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• pp.174-188
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• 2004

In the life environment changed with not only the quality and the price of the products but also the material abundance, it is the most crucial factor for the strategy of product sales to investigate consumer's sensibility and preference degree. In this perspective, it is necessary to design and merchandise the products in cope with each consumer's sensibility and needs as well as its functional aspects. In this paper, we propose the Fashion Design Recommender Agent System (FDRAS-pro) for textile design applying collaborative filtering personalization technique as one of the methods of material development centered on consumer's sensibility and preference. For a collaborative filtering system based on textile, Representative-Attribute Neighborhood is adopted to determine the number or neighbors that will be used for preferences estimation. Pearson's Correlation Coefficient is used to calculate similarity weights among users. We build a database founded on the sensibility adjectives to develop textile designs by extracting the representative sensibility adjectives from users' sensibility and preferences about textile designs. FDRAS-pro recommends textile designs to a customer who has a similar propensity about textile. To investigate the sensibility and emotion according to the effect of design factors, fertile designs were analyzed in terms of 9 design factors, such as, motif source, motif-background ratio, motif variation, motif interpretation, motif arrangement, motif articulation, hue contrast, value contrast, chroma contrast. Finally, we plan to conduct empirical applications to verify the adequacy and the validity of our system.

• Science of Emotion and Sensibility
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• v.14 no.1
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• pp.27-38
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• 2011

This study was aimed to investigate the effects of restaurant in-store color and music congruency on consumer's emotional responses and behavioral intentions. The web survey was conducted among 400 customers(aged from 20~39 years old) who lived in Seoul and Kyunggi, Incheon Province. To find ensemble effect of color and music, 3D studio MAX were used to make high-stimulus(exciting) and low-stimulus(calm) and 3D virtual reality restaurant simulation stimulus were applied. The statistical data analyses were performed using SPSS/WIN 18.0 and reliability analysis, factor analysis, regression analysis were used. Based on the result of the conducting factor analysis, emotional responses were classified into 2 factors: positive emotion and negative emotion. Satisfaction was classified into 1 factor: satisfaction. Loyalty was classified into 1 factor: loyalty. Cronbach's alpha was calculated for the reliability of the survey instrument. Consequently, restaurant in-store color and music congruency were shown to affect positive emotion and negative emotion. Positive emotion and negative emotion were shown to affect satisfaction. Satisfaction were shown to affect loyalty. Music congruency had a higher effect on positive emotion than color congruency. Color congruency had a higher effect on negative emotion than music congruency. The results of this study will serve as a basis of color and music congruency with restaurant atmospherics.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.379-388
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• 2016

This study was aimed at identifying the actual state of workplace violence based on a survey conducted to 876 subway workers in Seoul and determining the relationship between workplace violence and mental health of workers. Data were collected via web site, using a structured questionnaire and for the analysis of the data, a multiple linear regression analysis was carried out by the statistical program SPSS 20.0. According to the results, the perpetrators of violence turned out to be "passengers" in all types of workplace violence: physical violence, verbal violence, sexual harassment and disregard for personality. As for the relationship between workplace violence and the mental health of the workers, statistically significant differences were shown between all the above mentioned workplace violence types and sub-areas of mental health. Also, as for the impact of workplace violence on the mental health of the workers, significant differences were found in physical violence, sexual harassment and disregard for personality, with 8.3 percent of explanatory power. Based on these findings, the study suggests the establishment and the application of customer interaction guidelines to protect subway workers from workplace violence along with specific measures customized for each work environment to prevent violence.

• Culinary science and hospitality research
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• v.16 no.1
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• pp.254-268
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• 2010

The purpose of this study is to determine the relative importance of restaurant attributes, preference in choosing a restaurant and to find out differences between segments. The web survey was conducted among 400 customers(aged from 20~39 years old) who lived in Seoul and Kyunggi, Incheon Province, from the period of August 23 to September 4, 2009. The statistical data analyses were performed using SPSS/WIN 12.0 for the conjoint analysis. The main results of this study were as follows : according to the analysis on the attributes and the levels of restaurants, the relative importance of restaurant attributes was assessed in taste (43.46%), price(27.62%), restaurant type(18.49%) and atmosphere(10.44%). Differences were found among three segments by the cluster analysis. Relative importance of restaurant attributes was assessed in price (45.96%), restaurant type(40.00%), taste(11.93%) and atmosphere(2.11%) in segment 1, taste(50.93%), price (33.37%), restaurant type(10.75%) and atmosphere(4.95%) in segment 2 and taste(56.24%), restaurant type (22.60%), price(14.06%) and atmosphere(7.10%) in segment 3. The results of the conjoint analysis indicated that customers preferred a restaurant with 'tasty food & various menu items', 'food priced 10,000~20,000 won', 'calm atmosphere' and 'the type of family restaurant'. The customers in segment 1 preferred a restaurant with 'not tasty food & simple menu', 'food priced more than 20,000 won', 'calm atmosphere' and 'the type of fine-dining restaurant'. The customers in segments 2 preferred a restaurant with 'tasty food & various menu items', 'food priced less than 10,000 won', 'exciting atmosphere' and 'the type of fine-dining restaurant' and the customers in segments 3 preferred a restaurant with 'tasty food & various menu items', 'food priced 10,000~20,000 won', 'calm atmosphere' and 'the type of family restaurant'.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.149-163
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• 2022

With the development of the culture industry, online transactions of cultural products are being activated, and offering information and establishing relationship with customers in web-site have an important influence on online purchase decision making. The purpose of this research is to examine the effect of information and relational benefits provided by online sales sites of cultural products on online purchasing intention, and to reveal through empirical analysis whether these influences show a difference between stage products and screen products. Looking at the results of the study, first, in the case of the whole, both information offering and relational benefits have a significant effect on online purchasing intention. Second, in the case of stage products(plays), product understanding information, economic relational benefits, and customization relational benefits showed significant effects, but product purchasing information showed no significant influence. Third, in the case of screen products(movies), product purchasing information and economic relational benefits showed a significant effect, but product understanding information and customization relational benefits had no significant effect. In conclusion, the impact of information offering and relational benefits on online purchasing intention differs according to cultural products, and economic relational benefit is found to be an important influencing factor on online purchase decision making in all cases. These research results are expected to be helpful in establishing differentiated marketing strategies including customer relationship management in online transactions of cultural products.

• Archives of design research
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• v.19 no.4 s.66
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• pp.133-144
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• 2006

According to the latest report by the Customer Protection Board, those who moved into newly constructed buildings are complaining about unidentified pains, asking for more careful selection of constructive materials for prevention of such potential problems. It is internationally recognized today that ecological materials can serve a significant factor for users' health, environmental protection and better industrial competitiveness. This study examined eco-design aspects of each interior material through web site search, in order to help customers learn about and capitalize on eco materials in a proper manner. As a result, 1. It turned out that the domestic industry are giving an impetus to releasing new eco items focusing on lower VOCs emission or addition of functional components as part of the marketing strategy. However, it is recommended that company understand significance of life cycle, and produce eco-concept materials. 2. The reliable standard for choosing the domestic material is EL, HB, GR marks. It is desirable to enhance recycling technologies and expand the sustainable consumption. customer class, since many recycled items are not developed. 3. The sourcing is a vulnerable part in terms of the concept of being environment-friendly material. Therefore, many manufacturers should design the easy knock-down products and produce the good items using recycled materials instead of new raw materials. Also solutions for making the energy from burning material should be studied. 4. The guidebook or manual with correct information about eco-materials is required to promote production and consumption with sustainable concept. 5. Many manufacturers are emphasizing ecological materials for customers, but some of them intended to disrupt customers' proper selection by promoting even unverified items to be environment-friendly.