• Title/Summary/Keyword: 구매 기준

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Development of Functional Products Using Chamaecyparis Obtusa Heartwood Essential Oil (편백심재오일을 이용한 기능성 제품 개발)

  • Choi, Ju-Hyeon;Park, Jeong-Hyeon;Cho, Yun-Jin
    • Journal of Convergence for Information Technology
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    • v.11 no.2
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    • pp.211-218
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    • 2021
  • The purpose of this study is to develop how to extract essential oil from heartwood of chamaecyparis obtusa and commercialize eco-friendly products using essential oil. Manufacturing process consisted of 8 steps: pulverization, input, pretreatment, extraction(steam distillation), steam emission, cooling, separation, aging. Through the method developed in this study, chamaecyparis obtusa oil with excellent quality in antibacterial effect can be extracted with high productivity. Also, chamaecyparis obtusa spray using this oil had good antibacterial and deodorant effects, and got no irritation results in the clinical test. To commercialize spray, we built a commercial website and performed consumer survey on the site. The survey results showed that respondents had positive attitude toward the products and their messages in the site. When the production standardization through precise quality control and the optimization of composition ratio are accomplished, this study will contribute to commercialize various types of cosmetics and quasi-drugs.

Analysis of Automobile Industry Trends and Demand Forecasting of Monthly Automobile Sales in Chin (중국 내 자동차 산업 동향과 월별 판매량 시계열분석)

  • Chenyang, Wang;Se Won, Lee
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.1
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    • pp.35-48
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    • 2023
  • In this study, we introduced the development status and the government policy of the Chinese automobile industry under the rapidly changing global economic environment. We conducted a consumer trend survey on automobile purchases by consumers in China. Despite the Chinese government's strong national emission control policy and stricter standards for manufacturing and selling internal combustion engine vehicles, 59.6% of respondents saying they would choose an internal combustion engine vehicle when purchasing a vehicle in the future for various reasons. It was confirmed that there is a significant gap between government policies and consumer perceptions. In addition, we have discovered the recent declining trend of automobile sales in China, and used the monthly sales volume from January 2010 to December 2020 as training set, and the sales volume from January 2021 to November 2022 as a test set. We proposed and evaluated a time-series model for predicting future automobile demand in China. Then, we showed the monthly sales forecast for 2023 when each model was applied.

A Case Study on Text Analysis Using Meal Kit Product Review Data (밀키트 제품 리뷰 데이터를 이용한 텍스트 분석 사례 연구)

  • Choi, Hyeseon;Yeon, Kyupil
    • The Journal of the Korea Contents Association
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    • v.22 no.5
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    • pp.1-15
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    • 2022
  • In this study, text analysis was performed on the mealkit product review data to identify factors affecting the evaluation of the mealkit product. The data used for the analysis were collected by scraping 334,498 reviews of mealkit products in Naver shopping site. After preprocessing the text data, wordclouds and sentiment analyses based on word frequency and normalized TF-IDF were performed. Logistic regression model was applied to predict the polarity of reviews on mealkit products. From the logistic regression models derived for each product category, the main factors that caused positive and negative emotions were identified. As a result, it was verified that text analysis can be a useful tool that provides a basis for maximizing positive factors for a specific category, menu, and material and removing negative risk factors when developing a mealkit product.

Development of Product Recommendation System Using MultiSAGE Model and ESG Indicators (MultiSAGE 모델과 ESG 지표를 적용한 상품 추천 시스템 개발)

  • Hyeon-woo Kim;Yong-jun Kim;Gil-sang Yoo
    • Journal of Internet Computing and Services
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    • v.25 no.1
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    • pp.69-78
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    • 2024
  • Recently, consumers have shown an increasing tendency to seek information related to environmental, social, and governance (ESG) aspects in order to choose products with higher social value and environmental friendliness. In this paper, we proposes a product recommendation system applying ESG indicators tailored to the recent consumer trend of value-based consumption, utilizing a model called MultiSAGE that combines GraphSAGE and GAT. To achieve this, ESG rating data for 1,033 companies in 2022 collected from the Korea ESG Standard Institute and actual product data from N companies were transformed into a Heterogeneous Graph format through a data processing pipeline. The MultiSAGE model was then applied in machine learning to implement a recommendation system that, given a specific product, suggests eco-friendly alternatives. The implementation results indicate that consumers can easily compare and purchase products with ESG indicators applied, and it is anticipated that this system will be utilized in recommending products with social value and environmental friendliness.

Deep learning-based clothing attribute classification using fashion image data (패션 이미지 데이터를 활용한 딥러닝 기반의 의류속성 분류)

  • Hye Seon Jeong;So Young Lee;Choong Kwon Lee
    • Smart Media Journal
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    • v.13 no.4
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    • pp.57-64
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    • 2024
  • Attributes such as material, color, and fit in fashion images are important factors for consumers to purchase clothing. However, the process of classifying clothing attributes requires a large amount of manpower and is inconsistent because it relies on the subjective judgment of human operators. To alleviate this problem, there is a need for research that utilizes artificial intelligence to classify clothing attributes in fashion images. Previous studies have mainly focused on classifying clothing attributes for either tops or bottoms, so there is a limitation that the attributes of both tops and bottoms cannot be identified simultaneously in the case of full-body fashion images. In this study, we propose a deep learning model that can distinguish between tops and bottoms in fashion images and classify the category of each item and the attributes of the clothing material. The deep learning models ResNet and EfficientNet were used in this study, and the dataset used for training was 1,002,718 fashion images and 125 labels including clothing categories and material properties. Based on the weighted F1-Score, ResNet is 0.800 and EfficientNet is 0.781, with ResNet showing better performance.

A Study on the User Experience of Gamification Elements in Mobile Commerce in Korea (국내 모바일 커머스 게임화 요소의 사용자 경험 연구)

  • So Young Lee;Seung In Kim
    • Industry Promotion Research
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    • v.9 no.3
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    • pp.155-161
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    • 2024
  • This study investigates user experiences of reward-based mini-games, gamified elements within the domestic mobile commerce sector. Recently, gamification marketing strategies have been actively employed in mobile commerce services to attract customers, increase dwell time, and enhance revisit rates. Conducting research on user experiences of gamified elements, we quantified evaluations of how users perceive these elements within mobile commerce. Using enjoyment, immersion, rewards, value, and utility as criteria, we designed a questionnaire and conducted surveys, followed by 1:1 in-depth interviews with users aged 20 to 40. The experimental results highlight the need for strategies to increase user satisfaction in terms of enjoyment and immersion, as well as the necessity to enhance user experiences related to predictable reward systems and product exploration to facilitate product purchases. It is hoped that this study will provide insights for companies seeking to incorporate gamified elements into their marketing strategies and improve user experiences.

Perceptions on Environment and Environment-Friendly Agricultural Products of College Students in Seoul and Incheon Area (경인지역 대학생의 환경과 친환경농산물에 대한 인식)

  • Sung, Min-Jung;Choi, Hyo-Seon;Chang, Kyung-Ja
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.37 no.3
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    • pp.317-324
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    • 2008
  • This study was performed in order to investigate perceptions on environment and environment-friendly agricultural products, knowledge level and opinion about these products. The subjects were 387 college students in Seoul and Incheon area. This survey was conducted by self-administered questionnaire. The statistical analysis was conducted using the SPSS 12.0 program. Male subjects were 53.2% and female subjects were 46.8%. 52.9% of the subjects have knowledge about environment-friendly agricultural products. Also 50.9% of the subjects knew certification label of environment-friendly agricultural products whereas 13.4% knew certification authority of environment-friendly agricultural products. The average scores of 'image of environment-friendly agricultural products', 'attitude towards environment', 'attitude towards agrichemical' were $3.84{\pm}0.68,\;3.51{\pm}0.73\;and\;3.58{\pm}0.87$, respectively. In regard to 'image of environment- friendly agricultural products', the scores were significantly affected by gender (p<0.05), self-recognition of health status (p<0.05) and self-knowledge about environment-friendly agricultural products (p<0.001). In regard to 'attitude towards environment', the scores were significantly affected by self-recognition of health status (p<0.05), self-knowledge about environment-friendly agricultural products (p<0.001), and information about environment friendly agricultural products certificate authority (p<0.01). In regard to 'attitude towards agrichemical', the scores were significantly affected by gender (p<0.001), self-recognition of health status (p<0.05), supplements for health (p<0.05) and self-knowledge about environment-friendly agricultural products (p<0.001). Therefore, various education programs on environment-friendly agricultural products are necessary for college students to make right food choices.

Analysis of factors affecting customer satisfaction of HACCP applied restaurant in highway service area (HACCP 적용 고속도로 휴게소 식당의 고객 만족도에 영향을 주는 요인 분석)

  • Kim, Tae-Hyeong;Bae, Hyun-Joo
    • Journal of Nutrition and Health
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    • v.50 no.3
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    • pp.294-301
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    • 2017
  • Purpose: The purposes of this study were to investigate food consumption practices and analyze factors that influence customer satisfaction of an HACCP applied restaurant in a highway service area. Methods: A total of 207 customer responses were used for data analysis. Statistical analyses were conducted using the SPSS program (ver. 22.0) for $x^2$-test, Pearson correlation analysis, and multiple regression analysis. Results: Reasons for visiting the highway area were using the restroom (86.0%), purchasing of meals or snacks (70.1%), taking a rest (58.5%), and shopping (3.4%) and selection attributes of food sold in the highway service area were food taste (48.8%), food safety (33.3%), and waiting time for meal (10.7%). According to the results of the survey, udon (66.2%) was the most preferred meal, followed by instant noodles (56.0%), kimbap (50.7%), pork cutlet (38.2%), and bibimbap (29.0%). In addition, coffee (73.4%) was the most preferred among snacks and beverages, followed by beverages (58.9%), walnut cake (53.1%), mineral water (52.2%), and hotbar (52.2%). Satisfaction evaluation scores of foods sold in the highway service area were highest for appropriate portion size, followed by food safety, menu variety, food taste, and reasonable price. Overall customer satisfaction scores regarding the restaurant in the highway service area was 3.24 out of 5 points on average. According to the results of the multiple regressing analysis, food taste (p < 0.001) and reasonable price (p < 0.01) had significant positive effects on overall customer satisfaction. Conclusion: To enhance customer satisfaction, restaurant managers in the highway service area should implement HACCP, improve food taste, and set up a proper price for food sold at the restaurant in the highway service area.

Food Habits and Eating Snack Behaviors of Middle School Students in Ulsan Area (울산지역 중학생의 식습관 및 간식섭취 실태)

  • Jo, Jung-In;Kim, Hye-Kyung
    • Journal of Nutrition and Health
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    • v.41 no.8
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    • pp.797-808
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    • 2008
  • This study has been carried out to obtain information related to food habits and snacking behaviors including health related behaviors. The subjects were 300 middle school students (144 boys and 156 girls). The results were as follows: Average height and weight of boys were 162.3 cm and 54.1 kg respectively. Those of girls were 159.8 cm and 49.0 kg respectively. 59.0% of the subjects of the subjects had 10,000-30,000 won as monthly allowances and their subjective health condition was good (55.7%). In the regularity of meal, 47.0% of the subjects had twice a day, the main reason for skipping meal was insufficient time to eat due to oversleep (54.3%). Most of the subjects (75.0%) had a prejudice in food selection because of a bad taste. 62.0% of the subjects ate snack between meals more than three times a week, because they were hungry, good taste and habitual. The criteria of choosing snack were taste, nutrition and quality of food. Food as snacks they frequently had fruits, milk and milk products, cookies, chocolate in order. Boys had more french fries than girls, girls had more fruits, cookies and chocolate than boys. Average food habit score of boys (49.27 ${\pm}$ 7.53) was higher than that of girls (48.54 ${\pm}$ 7.81). The group who had a higher food habit score, they had more fruits and less soft drink as snacks, lower BMI, and also less monthly allowance than the group who had a lower food habit score. This study may provide basic information on eating habits of middle school students, suggests that nutrition education or counseling can improve food habits and develop positive behaviors toward healthy diets.

The Study of motives to select and revitalise a franchise by comparing management practices of nail shops (네일샵의 경영형태 비교를 통한 프랜차이즈 선택동기와 경영성과 분석에 대한 연구)

  • Lee, Mi-Sun;An, Jong-Sook
    • Journal of Digital Convergence
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    • v.12 no.4
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    • pp.201-211
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    • 2014
  • This study is to identify whether a difference exists between factors that influence the time when independently owned nail shops and franchises commence business. Futhermore, we set out to investigate the criteria for nail shop owners use when selecting franchise nail shops with a relatively high level of customer satisfaction and performance, to discuss the necessity of a franchise agreement. An actual analysis has revealed that there is a difference in factors that influence management at the time of and after the inception of independently owned shops and franchise nail shops. Business performance of franchise shops, as a result of evaluating customer satisfaction or monthly sales, turns out to be higher than independently owned shops. The criteria for selecting franchise stores includes intensity of competitiveness in the same business district, accessibility, ability to keep up with current trends, directors' skills, color scheme, excellence of company logo, interesting interior, reasonable prices compared to the level of cosmetic procedure and efforts to motivate employees. Overall, the deciding factor enabling shops to operate continuously is constant supervision from the headquarters of the franchise company.