• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권6호
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• pp.2996-3011
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• 2017

With rapid growth of web technology and dissemination of smart devices, social networking service(SNS) is widely used. As a result, huge amount of data are generated from SNS such as Twitter, and sentiment analysis of SNS data is very important for various applications and services. In the existing sentiment analysis based on the $Na{\ddot{i}}ve$ Bayes algorithm, a same number of attributes is usually employed to estimate the weight of each class. Moreover, uncountable and meaningless attributes are included. This results in decreased accuracy of sentiment analysis. In this paper two methods are proposed to resolve these issues, which reflect the difference of the number of positive words and negative words in calculating the weights, and eliminate insignificant words in the feature selection step using Multinomial $Na{\ddot{i}}ve$ Bayes(MNB) algorithm. Performance comparison demonstrates that the proposed scheme significantly increases the accuracy compared to the existing Multivariate Bernoulli $Na{\ddot{i}}ve$ Bayes(BNB) algorithm and MNB scheme.

• 한국식생활문화학회지
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• 제32권1호
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• pp.27-38
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• 2017

This study aimed to analyze the beverage usage behavior according to the food-related lifestyle in Seoul, Gyeonggi province area. Group 1, named 'health & safety seeking' group, consists of high percentage of women in their 40s, as well as a high percentage of high income and highly educated. Group 2, was group of 'high interest in dietary life', consists of a high percentage of women in their 30s, highly educated, earned 3~5 million won. Group 3, named 'convenience seeking' group, had a high percentage of men and of those in their 20s who earned less than 2 million won. In verifying the difference between food-related lifestyle groups in terms of their behaviors and attitudes towards the usage of beverage specialty shop, group 1 showed significantly high score in the number of visit beverage specialty shops, the intention to spend higher average expenditure per visit per person, importance of selection attributes of beverage specialty shop.

• The Journal of Asian Finance, Economics and Business
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• 제7권3호
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• pp.191-199
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• 2020

This study aims to investigate what selection attributes of customer value are more crucial when consumers choose the dessert at convenience store, which is the fastest growing retail format in Korea recently. Factors considered to be important when customers buy dessert, such as economics, diversity, convenience, and safety were examined and also relationship between customer value and satisfaction was analyzed. The survey was conducted through online (including SNS) from April 6, 2019 to April 30, 2019. A total of 303 questionnaires were used for empirical analysis. Factor analysis was performed to verify the validity and reliability of the measured variables. And the structural equation model (SEM) was used as a statistical method for hypothesis testing. As a result, factors as 'diversity', 'safety' were revealed to significantly affect hedonic customer value, while 'convenience' was shown to affect utilitarian customer value significantly. In addition, the path that customer value leads to satisfaction was also found to be significant. The result of the study suggests that selection attributes of convenience store dessert and providing meaningful implications of related hedonic and utilitarian values when customers purchase dessert at convenience store. This study provided practical implications for managers of the fiercely competitive dessert industry.

• 한국IT서비스학회지
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• 제13권2호
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• pp.133-149
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• 2014

It is unavoidable to provide products that meet customers' needs and wants so that firms may survive under the competition in this globalized market. This paper focuses on how to provide levels for attributes that compse product so that firms may give the best products to customers. In particular, its main issue is how to determine common attributes and the others with their appropriate levels to maximize firms' profits, and how to construct a decision support system to ease decision makers' decisons about optimal common attribute selection using the Semantic Web and SWCL technologies. Parameter data in problems and the relationships in the data are expressed in an ontology data model and a set of constraints by using the Semantic Web and SWCL technologies. They generate a quantitative decision making model through the automatic process in the proposed system, which is fed into the solver using the Logic-based Benders Decomposition method to obtain an optimal solution. The system finally provides the generated solution to the decision makers. This presentation suggests the opportunity of the integration of the proposed system with the broader structured data network and other decision making tools because of the easy data shareness, the standardized data structure and the ease of machine processing in the Semantic Web technology.

• 한국주거학회:학술대회논문집
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• 한국주거학회 2008년 추계학술발표대회 논문집
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• pp.144-149
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• 2008

This study is aim to execute multiple analysis about housing plan to target middle old aged households. This results can be applied to an important information for housing plan of middle old aged households to search about how does housing plan realized through their consciousness, satisfactions and selection preference of housing. The detailed purpose of this study is stated in below. First, this study shows specific attributes of middle old aged households. Second, this study shows the consciousness of middle old aged households for housing. Third, this study shows the preferences of middle old aged households for housing. Forth, this study also shows the upcoming housing plans through the consideration of their consciousness and preferences for housing selection. All data of this study was achieved through questionnaire survey, personal interview and photo shooting. Totally three hundred seventy copies were used for final analysis to target middle aged people after forties in Ulsan. The questionnaires in this survey were consisted of 5 major items such as the attributes of social demography, housing values, preferences, satisfactions related to results of consciousness and housing choices.

• 한국식생활문화학회지
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• 제19권4호
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• pp.407-418
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• 2004

A study of the comparison of customers' satisfaction and loyalty at McDonald's two types of outlets is presented. The objective of this study is to test correlation among selection attributes, customer satisfaction and loyalty of customers patronizing two types of Mcdonald's restaurants - stand alone and co-branded, as Mcdonald's is known to be actively participating in co-branding with discount stores such as E-Mart. In order to measure customer loyalty, benchmark scores from customers showing extreme satisfaction are compared to the mean scores of total sample customers at each outlet. Meeting or exceeding benchmarking scores does not automatically bring in and create loyal customers but in doing so will certainly help build up strong customer relationship which will create additional loyalty. Marketers should be well aware that statistically significant difference do exist between these two groups of customers and should take into consideration these findings in opening up new outlets or renovating existing outlets.

• 한국식품조리과학회지
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• 제25권6호
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• pp.663-670
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• 2009

The domestic foodservice and restaurant industries have been rapidly growing. Therefore, it is necessary for restaurants to analyze the demands and desires of their customers according to internal attributions, and to understand how these may change in the future. To explore the internal attributions of individuals, such as personality, this study examined differences between the promotion and prevention focuses of 'Self-Regulatory Focus Theory'. Based on this theory, hypotheses were prepared and two experiments- & -were performed to assess the hypotheses. showed that consumers who had a promotion focus were interested in the following factors: events, advertisement images and taste; whereas those with a prevention focus concentrated more on factors related to comfortoriented qualities, such as reputation and price satisfaction. In , after performing situational regulatory focus manipulation with the subjects, there were different results between promotion and prevention: in the promotion focus, when a prevention focus was induced, subjects concentrated more on price satisfaction, reputation, highly nutritious menu, and sanitary conditions; whereas in the prevention focus, when a promotion focus was induced, they concentrated on advertisement images, events, and restaurant atmosphere.

• 융합경영연구
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• 제9권6호
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• pp.39-51
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• 2021

Purpose - The current study conducted research on influential relationship of Korea's selected attributes of home replacement foods (HMR) with trust, customer satisfaction, and repurchase intention. Design, data, and methodology - This study was conducted on consumers in Seoul and the metropolitan area (Gyeonggi and Incheon) who have purchased home replacement foods (HMR). The survey was conducted for 30 days from March 1^st, 2021 to March 30^th, 2021. Among total of 300 surveys distributed, 250 surveys were collected, and 199 surveys, excluding ones with missing value and outliers (51 surveys), were used for analysis. Results - The results empirical analysis based on earlier studies are as follows. First, as a result of analyzing which variables of selection attribute factors of home replacement food (HMR) have an effect on trust, healthiness, reasonable price, and convenience had a positive effect, and quality of food and diversity did not have a significant effect. Second, as a result of analyzing whether trust has a significant effect on customer satisfaction, it was found that it had a positive effect on customer satisfaction. Third, as a result of analyzing whether trust has a significant effect on repurchase intention, it was found to have a positive effect. Fourth, as a result of analyzing whether customer satisfaction has a significant effect on repurchase intention, it was found that customer satisfaction had a positive effect. Conclusions - The current study aims to develop various new products of HMR and establish differentiated marketing techniques tailored to consumer needs.

• 한국식생활문화학회지
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• 제38권3호
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• pp.154-162
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• 2023

This study investigated the awareness and consumption behavior of 118 vegetarians and omnivores toward plant-based dairy alternatives. The preference and choice attribute questionnaires were compared. Significant differences were obtained between the two groups when considering the purchase experience, preference, and selection attributes of plant-based dairy alternatives. Vegetarians had more experience purchasing plant-based dairy alternative products. In both groups, environmental and animal protection were the major factors that influenced the highest response rate for purchasing plant-based dairy alternatives. The preference score of vegetarians for plant-based dairy alternative products was high, indicating that vegetarianism had a significant effect on their preference for plant-based dairy alternative products. Analysis of selection attributes revealed that price, product weight, appearance, and manufacturer were considered important by vegetarians, whereas nutritional components and labeling, manufacturing environment, composition of ingredients, and taste and texture were considered more important by the omnivores. Results of this study can be used as basic data for the future development of the fast-growing industry producing plant-based dairy alternative products.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권10호
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• pp.2658-2681
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• 2023

In edge computing scenarios, IoT end devices play a crucial role in relaying and forwarding data to significantly improve IoT network performance. However, traditional routing mechanisms are not applicable to this scenario due to differences in network size and environment. Therefore, it becomes crucial to establish an effective and reliable data transmission path to ensure secure communication between devices. In this paper, we propose a trusted path selection strategy that comprehensively considers multiple attributes, such as link stability and edge cooperation, and selects a stable and secure data transmission path based on the link life cycle, energy level, trust level, and authentication status. In addition, we propose the Stability-based On-demand Multipath Distance Vector (STAOMDV) protocol based on the Ad hoc AOMDV protocol. The STAOMDV protocol implements the collection and updating of link stability attributes during the route discovery and maintenance process. By integrating the STAOMDV protocol with the proposed path selection strategy, a dependable and efficient routing mechanism is established for IoT networks in edge computing scenarios. Simulation results validate that the proposed STAOMDV model achieves a balance in network energy consumption and extends the overall network lifespan.