• Journal of agriculture & life science
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• v.46 no.1
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• pp.207-215
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• 2012

In this study, we performed to select the high growth potential agri-products in Ulsan City, Korea. For this, we carried out the location quotient and the regional growth rate differential analyses using the cultivated area data and the agricultural output data in 2000, 2005 and 2007. The location quotient analysis revealed that rice, pear and persimmon were classified as specialized agri-products. These results would be useful to reflect on a short-term policy in support for the agricultural activities of the local farmers because the specialized agri-products occupy a relatively high proportion in the region. In addition, the regional growth rate differential analysis showed that strawberries, persimmon, potatoes, corn and sweet potato are classified as growing agri-products whereas pear is classified as a competitive agri-product in the analysis based on agricultural output from 2000 to 2007. Based on cultivated area, strawberries, potatoes and corn are classified as growing agri-products whereas sweet potato is classified as a competitive agri-product. These results would be beneficial to establish a long-term agricultural policy in Ulsan City because these agri-products are further supported by the time series analysis, considering the nationwide trends and the production activities reflecting the preferences of consumers and the willingness of producers.

• The Journal of Bigdata
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• v.3 no.2
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• pp.19-33
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• 2018

Owing to the increase of FTA, food trade, and versatile preferences of consumers, food import has increased at tremendous rate every year. While the inspection check of imported food accounts for about 20% of the total food import, the budget and manpower necessary for the government's import inspection control is reaching its limit. The sudden import food accidents can cause enormous social and economic losses. Therefore, predictive system to forecast the compliance of food import with its preemptive measures will greatly improve the efficiency and effectiveness of import safety control management. There has already been a huge data accumulated from the past. The processed foods account for 75% of the total food import in the import food sector. The analysis of big data and the application of analytical techniques are also used to extract meaningful information from a large amount of data. Unfortunately, not many studies have been done regarding analyzing the import food and its implication with understanding the big data of food import. In this context, this study applied a variety of classification algorithms in the field of machine learning and suggested a data preprocessing method through the generation of new derivative variables to improve the accuracy of the model. In addition, the present study compared the performance of the predictive classification algorithms with the general base classifier. The Gaussian Naïve Bayes prediction model among various base classifiers showed the best performance to detect and predict the nonconformity of imported food. In the future, it is expected that the application of the abnormality detection model using the Gaussian Naïve Bayes. The predictive model will reduce the burdens of the inspection of import food and increase the non-conformity rate, which will have a great effect on the efficiency of the food import safety control and the speed of import customs clearance.

• Journal of Mushroom
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• v.20 no.4
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• pp.218-226
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• 2022

Flammulina velutipes, known as winter mushroom in the family of Physalacriaceae, is the main edible and export mushroom with the third highest production after oyster and king oyster mushroom in Korea. However, as normal consumers regard F. velutipes as a simple subsidiary material, there is a limitation to increasing mushroom demand. In order to overcome the consumption limit and increase the differentiation of new varieties, it is necessary to breed varieties with enhanced functionality in consideration of consumer preferences. Therefore, the study was performed to analyze nutrient components and several useful functional substances with 26 genetic resources of F. velutipes. Analyses of inorganic compound(Ca, K, Mg) and 15 amino acids revealed that Strain 4148 had the highest content among the 26 strains. Beta-glucan, which increases immune activity and polyphenol, which exert antioxidant effects were higher in non-white strains than in white strains with a small number of exceptions. Among the five fatty acids, linoleic acid(an omega-6 fatty acid) and α-linolenic acid(an omega-3 fatty acid), were detected in six mushroom strains. α-linolenic acid, which was not found in five major mushrooms including oyster mushrooms, was identified in F. velutipes. The results of HPLC analysis showed that 'Auram' (Strain 4232) and 'Baekseung'(Strain 4230) had the highest content of the stabilizing neurotransmitter GABA(15.38 ㎍/ml and 20.56 ㎍/ml, respectively) among non-white and white strains, respectively. Our findings provide useful information for breeding F. velutipes to obtain strains with enhanced functionality.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.748-756
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• 2021

In this study, as the first attempt to develop an experiential game tourism program using Korean classical literature, the primary research was conducted on Kim Soo-Jang and his anthology "Hae Dong Ga Yo". To this end, a theoretical review of the value of hands-on games and Korean classical literature as tourism content was conducted first. Afterwards, the consumers for the program were set up into three categories: family unit, MZ generation including lovers, and foreigners. A survey was conducted to confirm the program preference of each group. According to the analysis framework, the main value of each historical and cultural resource in "Hae Dong Ga Yo" and seven sijo pieces created by Kim Soo-Jang was discovered and, based on the survey, the preferences of the consumer related to the target were analyzed. Accordingly, the narrative structures were organized differently for each group. An adventure plot was designed for the family unit, a love plot for MZ generation and lovers, and a mixture of adventure and love for foreigners. Utilizing stories from Kim Soo-Jang and his works, which are rarely used despite their value, this study attempted to develop them into hands-on game tourism programs to create new outlets in terms of both Korean classical literature and the tourism area. In the future, if various Joseon literati are discovered and their storytelling is continued, we can expect the vitalization of the travel product line with the concept of classical literature travel.

• Journal of Service Research and Studies
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• v.12 no.2
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• pp.80-93
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• 2022

This study is a study on a methodology that can extract various factors that affect purchase and use of products/services from the consumer's point of view through previous studies, and analyze the types and tendencies of consumers according to age and gender. To this end, we quantify factors in terms of general personal propensity, consumption influence, consumption decision, etc. to check the consistency of data, and based on these studies, we conduct research to suggest and prove data analysis methodologies of consumer types that are meaningful from the perspectives of startups and SMEs. did As a result, it was confirmed through cross-validation that there is a correlation between the three main factors assumed for data analysis from the consumer's point of view, the general tendency, the general consumption tendency, and the factors influencing the consumption decision. verified. This study presented a data analysis methodology and a framework for consumer data analysis from the consumer's point of view. In the current data analysis trend, where digital infrastructure develops exponentially and seeks ways to project individual preferences, this data analysis perspective can be a valid insight.

• Journal of the Korean Applied Science and Technology
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• v.40 no.3
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• pp.435-452
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• 2023

This study was conducted for a systematic literature review according to the period, subject, and research method for 198 papers related to tattoo and semi-permanent makeup published from 1979 to 2022. By period, it was divided into the first period (1979-1994), the second period (1995-2005), the third period (2006-2012), and the fourth period (2013-2022). In the first period, research on health and medical aspects was the main focus, and in the second period, studies in various aspects such as art and culture began to appear. The 3rd period was characterized by increased research on semi-permanent makeup, and the 4th period was marked by a rapid increase in research on tattoos and semi-permanent makeup. By research topic, it was analyzed by dividing it into health and medical care, beauty, fashion and art, society and culture, law and system. As a result, cosmetic studies were most actively conducted to identify consumers' preferences and perceptions, and health and medical studies were the second most common. Recently, as the need for legalization has increased, studies related to laws and systems have increased rapidly, and studies on culture, history, and fashion have also been conducted. By research method, survey research were used the most, and various methods such as literature study and case studies were also used. This study is expected to further promote follow-up research in the future and contribute to the development of related industries.

• Design Convergence Study
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• v.17 no.2
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• pp.45-57
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• 2018

Sales for SPA brand names of private label apparels are on the rise in the domestic clothing market. The aim of this study is to analyze the characteristics of SPA brands and how each color system is proposed within the BI system. In this study, 8 brands were selected as the most popular SPA brands in Korea and abroad with stores based on brand power and sales and preference by consumers. Therefore, among information factors such as brand identity (BI) and color characteristic. sign system, package, and environmental factors, buildings facade and interior design of eight brands were investigated. Research into color application of BI revealed that four brands used red colors with different tones with different identity differentiation. For the other four brands, the company applied BI designs that gained the brand's character such as a black-and-white or dark blue one. Thus, it is considered important to select BI color in order to differentiate and enhance preferences in brand identity.

• 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.

• Information Systems Review
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• v.25 no.1
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• pp.27-46
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• 2023

Research on restaurant recommender systems has been proposed due to the development of the food service industry and the increasing demand for restaurants. Existing restaurant recommendation studies extracted consumer preference information through quantitative information or online review sensitivity analysis, but there is a limitation that it cannot reflect consumer semantic preference information. In addition, there is a lack of recommendation research that reflects the detailed attributes of restaurants. To solve this problem, this study proposed a model that can learn the interaction between consumer preferences and restaurant attributes by applying deep learning techniques. First, the convolutional neural network was applied to online reviews to extract semantic preference information from consumers, and embedded techniques were applied to restaurant information to extract detailed attributes of restaurants. Finally, the interaction between consumer preference and restaurant attributes was learned through the element-wise products to predict the consumer preference rating. Experiments using an online review of Yelp.com to evaluate the performance of the proposed model in this study confirmed that the proposed model in this study showed excellent recommendation performance. By proposing a customized restaurant recommendation system using big data from the restaurant industry, this study expects to provide various academic and practical implications.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.525-532
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• 2024

This study explores the impact of physical characteristics (e.g., shape, color, material, size, weight, technical features) of smart wristbands and smartwatches on consumers' perceived functional, aesthetic, and symbolic values using an extended technology acceptance model. An online survey was conducted with adult residents of the United States who had experience using smart wristbands or smartwatches. Participants were asked about various physical characteristics of products they had used in the past year or were currently using, and their evaluations of these characteristics. The results revealed that the shape of the front display shape significantly influenced symbolic value, with circle shape and square shpae showing significantly higher symbolic value than rectangle shape. Wristband materials also had a significant impact on symbolic value, with metal and leather showing higher symbolic value among various materials. Additionally, an increase in product size was associated with higher symbolic value. Moreover, certain technical features such as activity tracker, alarm clock, and distance tracking influenced perceived functional value, while functions like time display, GPS, and email influenced perceived aesthetic value. Pedometer, GPS, and email were found to enhance perceived symbolic value. These findings provide valuable insights into consumer preferences for smart wristbands and smartwatches, serving as valuable information for product improvement and new product development.