• Journal of the Korean Society of Food Culture
• /
• v.29 no.6
• /
• pp.519-527
• /
• 2014

This study was conducted to analyze the differences in consumer behavior of coffee product according to monthly income in franchised coffee shop's consumer in Korea. A total of 293 questionnaires were used out of the 330 that had been distributed for analysis; those that lacked reliability were excluded. Frequency, ANOVA, and Duncan's multiple range test was conducted to analyze the hypotheses of the study. The findings are summarized as follows. There were significant differences in consumer behavior with regard to seeking health, eco-friendly products, product brand, and product taste as well as preferred coffee menu and coffee consumption expenditures. High income consumers rather than low income groups showed much higher score for concerning health, concerning diet, concerning calorie, concerning instant, concerning caffeine and concerning nature, organic in coffee consumer behavior. In amount spent on purchasing coffee products according to income, low income consumers rather than high income groups had much higher financial expense burden.

• The Korean Journal of Food & Health Convergence
• /
• v.10 no.1
• /
• pp.1-6
• /
• 2024

Purpose: The research aims to address the intricacies of AI and Big Data application within the food industry. This study explores the strategic implementation of AI and Big Data in the food industry. The study seeks to understand how these technologies can be employed to bolster consumer engagement and contribute to market expansion, while considering ethical implications. Research Method: This research employs a comprehensive approach, analyzing current trends, case studies, and existing academic literature. It focuses on the application of AI and Big Data in areas such as supply chain management, consumer behavior analysis, and personalized marketing strategies. Results: The study finds that AI and Big Data significantly enhance market analytics, consumer personalization, and market trend prediction. It highlights the potential of these technologies in creating more efficient supply chains, improving consumer satisfaction through personalization, and providing valuable market insights. Conclusion and Implications: The paper offers actionable insights and recommendations for the effective implementation of AI and Big Data strategies in the food industry. It emphasizes the need for ethical considerations, particularly in data privacy and the transparency of AI algorithms. The study also explores future trends, suggesting that AI and Big Data will continue to revolutionize the industry, emphasizing sustainability, efficiency, and consumer-centric practices.

• Korean Journal of Organic Agriculture
• /
• v.20 no.2
• /
• pp.125-142
• /
• 2012

The purposes of this study are to analyze the effect of consumption of environment-friendly agricultural products (EFAP) on improvement of family health, and to suggest directions for improvement of family health. A survey was conducted for qualitative analysis regarding relationship between EFAP consumption and family health. The method of his study was employed Cross-tabulation and an Ordinal Logistic Regression Model to derive more significant results in analyzing factors of improvement of family health. The result shows that improvement of health has a significant positive relationship with consumption of EFAP. In addition, those consumers with high reliability and quality contentment are more likely to experience improvement of health. As consumers constantly eat EFAP, they are more likely to experience improvement of health. In order to provide consumer reliability of EFAP, more strict certification management system with sound monitoring and an appropriate penalty for violation should be established.

• Korean Journal of Health Education and Promotion
• /
• v.24 no.2
• /
• pp.15-28
• /
• 2007

Objectives: In this paper, the survey on internet usage patterns of health consumers was conducted and analyzed in order to determine internet health information assessment criteria for providing correct consumer health information on web-sites. Methods: By using a survey questionnaire with 16 questions on general information and 20 questions on internet health information, data were collected from September 16 to 25, 2005 from 476 participants through an internet web site, http://www.hp.go.kr. Frequency analysis, t-test, and multiple regression were used in order to analyze the difference in assessment criteria, factors influencing assessment criteria, factors influencing user satisfaction, etc. Results: General characteristics of the study population were: the persons over age 40 were the smallest age group; women were accounted for 74.2%; and the persons with average income were the largest income group; and the persons with average health status were the largest health group. Most widely used health information were: exercise, disease, and diet, in order. There was significant difference(p=.001) in importance of assessment criteria between the persons in medical institutions and the persons not in medical institutions. There was no significant difference in other assessment criteria. We also found that contents of websites and easy to use were more important factors than elucidation of information providers and information sources including speciality of information in quality assessment criteria of internet health information. Discussion and Conclusion: Results of this paper were compared with the previous studies from the literatures. Contrary to the previous studies in the literature, there was significant difference in importance of assessment criteria between the persons in medical institutions and the persons not in medical institutions. In order to apply the study results to develop health contents for consumer, there is a need for further upgrade the proposed assessment criteria based on expert opinion.

• Journal of Families and Better Life
• /
• v.26 no.6
• /
• pp.181-192
• /
• 2008

This study investigated the usefulness of Consumer Expectation Index to predict real household spending. Specifically, the forecasting impact of the index on clothing, eating-out, entertainment, education, and health consumption area was examined. The results showed that the CEI was a good indicator for the future household spending of clothing, eating-out, entertainment and total consumption but it was not true for the spending of education and health. Most of CEls were significantly correlated with household spending even when household income and CPI were controlled. The impact of CEls on household spending tended to be lagged by one or two quarters.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
• /
• 2001.06a
• /
• pp.1052-1052
• /
• 2001

Hear infrared (NIR) spectra were measured, at five temperatures, for forty-eight samples of honey, from a variety of geographical and botanical sources, and the data has been used to explore the possibility of using NIR spectroscopy for testing label claims concerning the geographical and botanical source of honey being offered for sale to the public. These results demonstrate that the successful characterization of the botanical source of a honey may be obtained by NIR spectroscopy. Further work with large numbers of samples and groups will be required to realized this potential. Additional analysis of these data suggest that research into new ways of obtaining information on the change of absorption with temperature might be beneficial for a range of technologies.

• Journal of the Korean Society of Food Culture
• /
• v.11 no.4
• /
• pp.487-495
• /
• 1996

The consumer perception on health and food habit, the experience of health food use and the discrimination between health food and drug of Korean consumer were surveyed by using a questionnaire containing 20 items in order to obtain the basic data for the assessment of the benefit and risk of health foods in Korea. A total of 1,000 people over 20 years of age living in Seoul and the vicinities were interviewed and asked to fill out the questionnaire during the period from the October 1995 to the February 1996. Among the 882 answers collected 23 was incomplete data, and 859 answers were used for the statistical analysis by using SAS program. The survey revealed a strong interest of the consumer on health food by showing that more than a half of the subjects (58.8%) had the experience of actual use of health food, and 68.2% believed the effectiveness. What the consumer expect most from health food was to have beneficial effect to maintain overall health condition (59.8%), and the most negative aspect of health food was the overstatement on the effectiveness by the producers (52.1%). The most important source of information for the purchase of health food was the suggestion of friends and relatives (30.6%). Among the health foods registered and regulated by the food law, royal jelly (22.7%), squalene (16.0%), refined fish oil (15.1%), lactic acid bacteria (10.6%) and aloe (8.8%) were relatively well aware. Although 84% of the subjects perceived that health food is different from drug or traditional medicine, the largest percentage of the subject selected ginseng as the most well known type of health food (22.7%) as well as the most well known drug (or traditional medicine) (41.7%). Ginseng was also chosen as the most frequently used health food (17.0%), and vitamin tablets the third (13.0%). The vague definition of health food and unambiguous discrimination of it from medicine by the consumers were problematic for the correct use and reasonable purchasing behavior. The clear definition and proper regulation on the manufacture and distribution of health food, more strict control of labelling and advertisement, and a wide consumer education on health food were recommended.

• Journal of the Korean Society for information Management
• /
• v.19 no.3
• /
• pp.49-68
• /
• 2002

The purpose of this paper is to examine the evaluation models of internet sites and to analyze the factors affecting the consumer satisfaction of health information sites in the Internet. Based on the covariance structural model applied to a customer survey, this study shows that among the characteristics of the site. contents has the most significant effect on customer satisfaction, which in turn affects the consumer willingness to recommend the site to others.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.35 no.5
• /
• pp.513-526
• /
• 2011

This study investigates the factors of LOHAS (Lifestyles of Health and Sustainability), to segment consumer groups by LOHAS and identify the differences of LOHAS groups in the purchase of LOHAS fashion products. A total of 398 people aged from 20s to 50s were surveyed in September, 2009. The data were analyzed with factorial analysis, ANOVA, LSD, Chi-square, Cronbach' ${\alpha}$, using the SPSS 12.0. The survey showed: 1) Seven LOHAS factors (environment preservation, family centered, pursuit of rural life, preference of environmentally friendly products, interest in health, pursuit of leisurely life, and soul & body balance), 2) LOHAS consumers were classified into five segments (health interest, well-being, LOHAS, unconcerned, and naturalist). The distribution of age level, education level, and the type of job were different among LOHAS groups; and 3) Experiences of purchasing LOHAS AS fashion products in the past and intention to purchase LOHAS fashion products in the future were different among LOHAS groups.

• Journal of Agricultural Extension & Community Development
• /
• v.26 no.4
• /
• pp.221-232
• /
• 2019

The purpose of this paper is empirically to identify the factors influencing local food purchase intention. And this study compares to the difference between local food consumer and hypermarket consumer's attitudes toward local food, food lifestyle, and subjective norm. Data were collected from 319 local food consumer and 179 hypermarket consumer to measure the following; attitude toward local food; subjective norm; perceived behavioral control; food lifestyles; demographic information. Results showed that local food consumers are significant differences on attitudes towards health, environment, and local economy. Results also found that subjective norm and perceived behavioral control are significant differences between local food consumer and hypermarket consumers. It means that consumers who express a strong intention to purchase local food seems to link to the food lifestyles. The study suggests that producers and retailers need to develp campaigns explaining how consuming local food supports local businesses and farmers, which will reinforce personal values associated with local consumption.