• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.602-611
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• 2019

The purpose of this study is to provide effective basic data necessary for marketing strategy of HMR products by identifying the effect of HMR selection attributes on customer satisfaction according to family Composition. To this end, the research subjects conducted a survey with employees dispatched to 100 of 140 HOMEPLUS nationwide and surveyed customers who purchased HMR products from stores for about 60 days from July 1, 2018 to August 30, 2018. The data collected were analyzed for statistical significance using SPSS 21.0 for windows, and the hypothesis was verified based on the results processed. Research shows that the four factors, quality, price, convenience and variety, which are the sub-factors of HMR selection attributes, were not different according to family composition, the quality, price, and variety among the sub-factors of HMR selection attributes affected customer satisfaction, but the convenience factors did not affect customer satisfaction. The purpose of this study was to identify the effect of HMR selection attributes on customer satisfaction and to compare the differences according to the general characteristics of survey subjects, The present invention has been made in view of the above problems.

• Journal of Appropriate Technology
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• v.6 no.2
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• pp.126-135
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• 2020

Recently, with the development of the 4th Industrial Revolution era and the popularization of technologies the maker movement is spreading worldwide in various ways for education, entrepreneurship, and solving social problems. This paper introduces a case of establishing and operating a maker space in Tanzania, East Africa, one of the developing countries. iTEC Tech-shop was established in the first half of 2018 at the Nelson Mandela African Institution of Science and Technology (NM-AIST) in Arusha, Tanzania by Innovative Technology and Energy Center (iTEC), and has been operating for nearly two years. With the allocation of empty warehouse space from NM-AIST, physical facilities were established through the purchase and installation of equipment and hand tools. Based on the advice from Idea Factory of Seoul National University and Fab-Lab Seoul, iTEC Tech-shop operational system were established. Through a total of 7 technical workshops, iTEC Tech-shop provided training courses for about 180 local personnel. In addition, the smart Techshop test-bed project was promoted in order to improve the operation level along with securing sustainability of the Techshop. The case of the iTEC Tech-shop could be a useful case for institutions or organizations promoting the maker movement to developing countries.

• Journal of Korean Home Economics Education Association
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• v.33 no.2
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• pp.115-133
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• 2021

The purpose of this study is to develop a teaching-learning plans for middle school Home Economics that practices clothing life in response to climate change. Four steps of analysis, design, development, and evaluation were used for the research. 'Phenomenon and cause, impact (environmental, economic and social) and response (relaxation and adaptation)' were selected as educational content elements for climate change through reviewing the literature related to climate change. Six types of middle school Technology and Home Economics textbooks under the 2015 revised curriculum were analyzed using the selected content elements for climate change as the basis for analysis according to the data type(reading data, picture data, activity data) and clothing use cycle (production, purchase, use, and disposal). Based on the content elements of climate change in the clothing life area extracted through textbook analysis, a total of 12 teaching-learning plans in response to climate change were developed by utilizing various teaching and learning methods, data and media. The teaching-learning plans were designed based on an integrated understanding of the phenomena, causes, effects, and responses of climate change for the students to realize the seriousness of climate change and to exercise positive influence on families and society.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.1-10
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• 2022

As the importance of ICT use in education grows, this study analyzes the differences and characteristics of perceptions of educational fields and industries on the use of Edutech, and proposes policy suggestions for revitalizing Edutech by deriving requirements. Accordingly, a survey was conducted on 201 teachers and 100 companies, and IPA analysis, Borich's needs, basic statistics, and t-test were conducted to find out the necessity and utilization of Edutech. As a result, they were highly aware of the need for the use of Edutech, and perceived that the support or accessibility for Edutech was insufficient. Accordingly, direct exchange between on-site teachers and companies from the product development stage to utilization and follow-up management, professional support for the introduction of Edutech, simplification of the purchase process and deregulation, customized support and training programs according to the characteristics of teachers are required. In the future, it is necessary to consider the changes in education that will occur after COVID-19 and establish appropriate product development and spread strategies.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.2
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• pp.59-76
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• 2023

Since the COVID-19 era, the rise in apartment prices has been unconventional. In this uncertain real estate market, price prediction research is very important. In this paper, a model is created to predict the actual transaction price of future apartments after building a vast data set of 870,000 from 2015 to 2020 through data collection and crawling on various real estate sites and collecting as many variables as possible. This study first solved the multicollinearity problem by removing and combining variables. After that, a total of five variable selection algorithms were used to extract meaningful independent variables, such as Forward Selection, Backward Elimination, Stepwise Selection, L1 Regulation, and Principal Component Analysis(PCA). In addition, a total of four machine learning and deep learning algorithms were used for deep neural network(DNN), XGBoost, CatBoost, and Linear Regression to learn the model after hyperparameter optimization and compare predictive power between models. In the additional experiment, the experiment was conducted while changing the number of nodes and layers of the DNN to find the most appropriate number of nodes and layers. In conclusion, as a model with the best performance, the actual transaction price of apartments in 2021 was predicted and compared with the actual data in 2021. Through this, I am confident that machine learning and deep learning will help investors make the right decisions when purchasing homes in various economic situations.

• Journal of Service Research and Studies
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• v.12 no.4
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• pp.82-93
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• 2022

The food service industry is a major driver of global sustainable food consumption. By understanding food consumption behavior, restaurant managers can forecast demands and reduce pre-consumer food waste. This study investigates the relationship between influencing factors and the number of customers at restaurants and cafés. These factors are weather-related factors, including rain and temperature, and school-related factors, including exams and the day of the week. Based on these four factors, 24 possible combinations were created. Three representtive days were chosen for each weekday combination. Besides, one representative day was chosen for each weekend combination. In total, 48 days were sampled throughout the year. Customer data were collected from six restaurants and cafes on a Korean university campus. Conjoint analysis was used to determine the relative importance of each variable to customer numbers. Following that, utility scores were standardized and mapped to determine the best condition when the number of customers was at its peak. In addition, each store's sales were compared using Pearson's Correlation Coefficient. The findings support that temperature and rain influences are correlated with the number of customers. Furthermore, we discovered that temperature was far more significant than rain in determining the number of customers. The paper discusses the implications of weather to forecast food and beverage demand and predict meal choices.

• The Korean Journal of Franchise Management
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• v.2 no.2
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• pp.70-83
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• 2011

The number of agricultural products due to open in response to international competitiveness of the farming press and the need for structural adjustment in agriculture and in agricultural crops receive a fair market price, fair trade, such as improving efficiency sidaejeo appropriate response to the request of the government must have. For this purpose, compared to the communist bojaphan agricultural water efficiently changing the structure of the distribution, agricultural products originating from the acquisition phase choice of shipping a stable product supply and plans to expand production system to induce a smooth supply of agricultural products, expand processing capacity and sales control should be. Also, in the distribution process by eliminating various immoral conduct commerce retail establishment and enforcement of policies for efficient and accurate distribution statistics, information is needed. The ultimate goal of agricultural restructuring and ensure fair price for producers sangpuui and improvement of production facilities for maximizing and affordable for consumers, according to your preferences to receive the best offer will be Foo. Therefore, management increases the efficiency of just distribution costs, or margins, lowering the improvement is not practical to restructure the distribution structure of costs for the best product and must supply the next country of agricultural products, strengthen the consumer's purchase desire to meet will be.

• Journal of Global Scholars of Marketing Science
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• v.8
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• pp.375-402
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• 2001

While the national economy has rapidly grown, both insufficience in indirect capital facilities of society and attempt to avoid having a logistical job as one of the so-called dirty, difficult and dangerous jobs have resulted in the leak of labor in the logistical industry. First of all, it was shown that the functional utilization level of the logistical information system had a partial effect on the logistical performance, that the reduction of logistical costs was influenced by the information system of connecting and supporting functions, and that the improvement of customer service was significantly influenced by only the supporting-function system. Second, the logistical performance was partially influenced by the linkage between logistical activities, only the customer linkage had a significant effect on the reduction of logistical costs, and the improvement of customer service was influenced by the intra-company linkage. Third, in verifying a hypothesis that the logistical information system's functional utilization level and organizational structure would interact with each other and have an effect on the logistical performance, it was shown that based on their mutual interaction at a normalized level this center's functional information system had a significant effect on the reduction of logistical costs. Fourth, in testing a hypothesis that both the linkage between logistical activities and logistical organization structure would interact with each other and would have an effect on the logistical performance, it was shown that their interaction at a normalized level was significant concerning only the reduction of logistical costs, while there was I10 its significance in the customer service. In proving a hypothesis that the linkage between logistical activities and logistical strategy patterns would interact with each other and would have an effect on the logistical performance, it was shown in a differentiated, aggressive investment one among variously patterned logistical strategies that the customer linkage had a significant effect on the reduction of logistical costs, and in the improvement of customer service that the supplier linkage had a remarkable impact. It also was shown that in case of the cost reduction and offensive control strategy, the customer linkage had a remarkable effect, and th at in the improvement of customer service the intra-company and customer linkage had a significant effect. In the marketing and customer service strategy, finally, there was no any significant influence while the customer linkage had a significant impact in the improvement of customer service. Accordingly, whether or not individual companies utilize the logistical information system's functional utilization levels well will have an effect on their logistical performance, and how their supply chain management is well-linked will affect their logistical performance.

• Korean Journal of Community Nutrition
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• v.26 no.4
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• pp.270-279
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• 2021

Objectives: The purpose of this study was to evaluate the effect of the sodium and sugar reduction practices of the Samsam foodservice project of Daegu, in comparison with that of general foodservices in Daegu. Methods: A survey was conducted on 80 Samsam foodservice workers and 80 general foodservice workers from Sep. to Oct. 2020. We compared each worker's taste preferences, stage of behavior change and dietary behavior regarding sodium and sugar, and each foodservice's practices regarding sodium and sugar reduction. Results: There was no significant difference between the salty taste and sweet taste preferences between the workers at the Samsam foodservices and those at the general foodservices. The percentage of foodservice workers in action or maintenance stage of behavior change for eating less salty was higher in the Samsam foodservices than in the general foodservices (P < 0.05). In addition, regarding the degree of saltiness and sweetness of meals, the workers at the general foodservices perceived their meals to be saltier (P < 0.001) and sweeter (P < 0.01) than the workers at Samsam foodservices. The workers at Samsam foodservices had fewer salty dietary behaviors compared to the workers at general foodservices (P < 0.01). The sodium reduction practice was significantly higher in the Samsam foodservices than the general foodservices (P < 0.001), especially in "efforts to make the food as bland as possible overall" (P < 0.001), and "serving less soup and stew" (P < 0.001). The sugar reduction practice too was significantly higher in the Samsam foodservices than the general foodservices (P < 0.001). Conclusions: The Samsam foodservices were shown to be better in the practice of sodium and sugar reduction compared to general foodservices. Therefore, it is necessary to provide continuous and practical support and incentives at the national level to expand the sodium and sugar reduction practices in foodservices.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.179-196
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• 2019

Recently, the "Smart Consumer" has been emerging. He or she is increasingly inclined to search for and purchase products by taking into account personal judgment or expert reviews rather than by relying on information delivered through manufacturers' advertising. This is especially true when purchasing cosmetics. Because cosmetics act directly on the skin, consumers respond seriously to dangerous chemical elements they contain or to skin problems they may cause. Above all, cosmetics should fit well with the purchaser's skin type. In addition, changes in global cosmetics consumer trends make it necessary to study this field. The desire to find one's own individualized cosmetics is being revealed to consumers around the world and is known as "Finding the Holy Grail." Many consumers show a deep interest in customized cosmetics with the cultural boom known as "K-Beauty" (an aspect of "Han-Ryu"), the growth of personal grooming, and the emergence of "self-culture" that includes "self-beauty" and "self-interior." These trends have led to the explosive popularity of cosmetics made in Korea in the Chinese and Southeast Asian markets. In order to meet the customized cosmetics needs of consumers, cosmetics manufacturers and related companies are responding by concentrating on delivering premium services through the convergence of ICT(Information, Communication and Technology). Despite the evolution of companies' responses regarding market trends toward customized cosmetics, there is no "Intelligent Data Platform" that deals holistically with consumers' skin condition experience and thus attaches emotions to products and services. To find the Holy Grail of customized cosmetics, it is important to acquire and analyze consumer data on what they want in order to address their experiences and emotions. The emotions consumers are addressing when purchasing cosmetics varies by their age, sex, skin type, and specific skin issues and influences what price is considered reasonable. Therefore, it is necessary to classify emotions regarding cosmetics by individual consumer. Because of its importance, consumer emotion analysis has been used for both services and products. Given the trends identified above, we judge that consumer emotion analysis can be used in our study. Therefore, we collected and indexed data on consumers' emotions regarding their cosmetics experiences focusing on consumers' language. We crawled the cosmetics emotion data from SNS (blog and Twitter) according to sales ranking ($1^{st}$ to $99^{th}$), focusing on the ample/serum category. A total of 357 emotional adjectives were collected, and we combined and abstracted similar or duplicate emotional adjectives. We conducted a "Consumer Sentiment Journey" workshop to build a "Consumer Sentiment Dictionary," and this resulted in a total of 76 emotional adjectives regarding cosmetics consumer experience. Using these 76 emotional adjectives, we performed clustering with the Self-Organizing Map (SOM) method. As a result of the analysis, we derived eight final clusters of cosmetics consumer sentiments. Using the vector values of each node for each cluster, the characteristics of each cluster were derived based on the top ten most frequently appearing consumer sentiments. Different characteristics were found in consumer sentiments in each cluster. We also developed a cosmetics experience pattern map. The study results confirmed that recommendation and classification systems that consider consumer emotions and sentiments are needed because each consumer differs in what he or she pursues and prefers. Furthermore, this study reaffirms that the application of emotion and sentiment analysis can be extended to various fields other than cosmetics, and it implies that consumer insights can be derived using these methods. They can be used not only to build a specialized sentiment dictionary using scientific processes and "Design Thinking Methodology," but we also expect that these methods can help us to understand consumers' psychological reactions and cognitive behaviors. If this study is further developed, we believe that it will be able to provide solutions based on consumer experience, and therefore that it can be developed as an aspect of marketing intelligence.