• Journal of the East Asian Society of Dietary Life
• /
• v.20 no.6
• /
• pp.975-986
• /
• 2010

College students represent a substantial market for fast food restaurant companies. In this sense, this research aims (1) to identify the attributes that influence college students' fast food restaurant selection, (2) to analyze how fast food restaurants perform with regards to those attributes using importance-performance analysis, and (3) to examine which attributes influence college students' satisfaction in a fast food restaurant context. Based on a literature review, 13 attributes that influence college students' fast food restaurant selection were derived. Then, using importance-performance analysis, it was found that among the 13 attributes, college students highly considered seven of them. Additionally, data analysis indicated that, currently, fast food companies perform well with regards to these seven attributes. More importantly, according to multiple regression analysis, among the seven attributes, value-related attributes (price, speed, location, and friendliness) were significantly related to college students' overall satisfaction.

• Culinary science and hospitality research
• /
• v.12 no.2 s.29
• /
• pp.137-150
• /
• 2006

The aim of this study was to determine the relative importance of a set of attributes which influence purchase decision of leaf mustard kimchi such as color, package, taste, availability and price, and to identify tourist product factor combinations which confer the highest utility to tourists of each age group. Conjoint model was used for this study. The findings from this study were as follows. First, it was found that all age groups regarded taste and price as the very important factor. Second, it was found that the products with different attribute levels were preferred by age groups. Third, it was found that the most preferred product in each age group was significantly different by cluster. Finally, it was found that the most preferred simulation product was different by age groups.

• Asia pacific journal of information systems
• /
• v.30 no.1
• /
• pp.31-52
• /
• 2020

Stock markets are popular investment avenues to people who plan to receive premium returns compared to other financial instruments, but they are highly volatile and risky due to the complex financial dynamics and poor understanding of the market forces involved in the price determination. A system that can forecast, predict the stock prices and automatically create a portfolio of top performing stocks is of great value to individual investors who do not have sufficient knowledge to understand the complex dynamics involved in evaluating and predicting stock prices. In this paper the authors propose a Stock prediction, Portfolio Generation and Selection model based on Machine learning algorithms, Artificial neural networks (ANNs) are used for stock price prediction, Mathematical and Statistical techniques are used for Portfolio generation and Un-Supervised Machine learning based on K-Means Clustering algorithms are used for Portfolio Evaluation and Selection which take in to account the Portfolio Return and Risk in to consideration. The model presented here is limited to predicting stock prices on a long term basis as the inputs to the model are based on fundamental attributes and intrinsic value of the stock. The results of this study are quite encouraging as the stock prediction models are able predict stock prices at least a financial quarter in advance with an accuracy of around 90 percent and the portfolio selection classifiers are giving returns in excess of average market returns.

• Journal of Korean Society for Quality Management
• /
• v.32 no.3
• /
• pp.68-80
• /
• 2004

This paper purports to uncover the underlying attributes used by customers to gauge service quality. Data was collected by administering questionnaires to 50 respondents and then analyzed by using Multidimensional Scaling methodology. The findings indicate that there are two primary dimensions to service quality. This analysis helped determine us two alternatives to naming the dimensions. Experience properties of service and Price value of the service, or Responsiveness of service provider employees and Reliability of service providers.

• Journal of the Korean Society of Costume
• /
• v.51 no.1
• /
• pp.49-59
• /
• 2001

This study was designed to identify the brand positioning of Infant's wear according to fashion lifestyle of missy women. Cluster analysis on fashion lifestyle classified three groups according to fashion lifestyle factors : Fashion Indifference group(34%), Fashion & Individuality Oriented group(27%), Rationality Oriented group(37% ). The analysis of positioning map with satisfaction of seven brand image attributes (color, design, price, utility, quality brand name, fashion) showed the distance of satisfaction was different among three groups.

• Proceedings of the Korean Society for Quality Management Conference
• /
• 2004.04a
• /
• pp.639-645
• /
• 2004

This paper purports to uncover the underlying attributes used by customers to gauge service quality. Data was collected by administering questionnaires to 50 respondents and then analyzed by using Multidimensional Scaling methodology. The findings indicate that there are two primary dimensions to service quality. A considerable analysis helped determine two alternatives to naming the dimensions: Experience properties of service and Price value of the service, or Responsiveness of service provider employees and Reliability of service providers.

• Culinary science and hospitality research
• /
• v.20 no.1
• /
• pp.189-204
• /
• 2014

This study is aimed to identify the relationship between Korean restaurant selection attributes and behavioral intention regarding foodservice consumption tendency. In order to achieve the purpose of research, frequency analysis, factor and reliability analysis, correlation analysis, cluster analysis, chi-square test, variance analysis, and multiple regression analysis were conducted using SPSS 18.0. As a result of variance analysis, accessibility did not appear to have a significant difference in all clusters, food quality appeared to have a significant result (F=5.587, $p{\leq}.001$), employees' service appeared to have a significant difference (F=5.186, p<.01), and price discounts also showed a significant difference (F=4.921, p<.01). Therefore, the first hypothesis that the foodservice consumption tendency has a difference in the Korean restaurants selection attributes was partially selected. In order to verify the hypothesis that the Korean restaurants selection attributes affect behavioral intention, the sub-factors of the Korean restaurant selection attributes (accessibility of restaurants, food quality, employees' service, price discounts) were set as independent variables, and the behavioral intention of foodservice consumers was set as a dependent variable. As a result, the accessibility of restaurants (${\beta}=.092$) and price discounts (${\beta}=.299$) have a non-significant effect on behavioral intention. However, a significant result was shown in food quality (${\beta}=.379$, p<.001) and employees' service (${\beta}=.251$, p<.001). Thus, the hypothesis that the Korean restaurant selection attributes have a positive effect on behavioral intention was partially selected. Based on the results, foodservice managers need to build up strategic management to improve food quality with better ingredients, sanitation, adequate quantity, and consistent taste of food. In addition, they should provide better service with well-trained employees.

• Journal of the Korean Society of Food Culture
• /
• v.35 no.4
• /
• pp.333-341
• /
• 2020

This study evaluated the perception, consumption behavior, and optional attributes of Korean, Chinese, and U.S. consumers of energy bar products. Data were compared and analyzed by surveying 300 consumers in each country. Significant differences were observed in preference for energy bars according to their nationality, in the order China, the U.S., and Korea. Perception of taste, types and dietary suitability of the products ranked lower for Korean consumers, as compared to consumers of the United States and China. The order dietary fiber, protein, and calcium were the sought-after nutritional requirements of the products. The demand for protein was significantly higher in the U.S. Calcium demand was low in the United States and China, but was very high in Korea, which could be attributed to the low calcium intake of Koreans. Other optional attributes which were closely associated with the purchase and re-purchase decision, included price, taste and delivery period. All three factors were recognized as important options in Korea, whereas awareness of packaging/appearance and brand was not. The taste, nutrients and price in the U.S. ranked high as important optional attributes, while the packaging, external and expiration dates were recognized as low. Unlike Korea and the U.S., important optional attributes for Chinese consumers were determined in the order expiration date, taste, and nutrients, and showed low perception for packaging, appearance, weight, counts, and prices. Evaluating the preference for the main and secondary ingredients, Koreans preferred nuts over grains, Americans preferred dried fruits over nuts, and Chinese preferred nuts and grains; both Korean and American consumers had low preference for dried vegetables. The preference for chocolate was low in Korea and China, whereas preference for jelly was high in China as compared to Korea and the U.S. The intention of purchasing energy bars was significantly lower in Korea than in the U.S. and China. A variety of nutritious functional bars have recently been distributed and sold in Korea, but they are mostly produced in the U.S., which is the largest producer and consumer worldwide. Taken together, results of this study indicate that the demand for nutritional enhancement and preferred materials vary according to the nationality. Hence, it is necessary to develop products that reflect these criteria. Further research is required to analyze the relationship between preference and consumption behavior for each material product developed in the future.

• Korean journal of food and cookery science
• /
• v.32 no.3
• /
• pp.342-352
• /
• 2016

Purpose: This study conducted an Importance-Performance Analysis (IPA) of selective attributes of Home Meal Replacement (HMR) as well as it examined the consumers' needs and willingness to buy HMR products to explore the need for developing more HMR products. Methods: This study was conducted among domestic consumers living in Seoul and its metropolitan areas, in the age range from the 20s to the 50s, and who had experience in purchasing HMR products. From the 490 surveys retrieved, 472 (96.3%) valid surveys were analyzed. Results: The analysis of the frequency of consuming HMR products showed the following results: 247 respondents answered '1-3 times a month' (52.3%); 167 respondents stated '1-2 times a week' (35.3%). With respect to the reason of purchase, 'simplicity of the recipe' was the most common, accounting for 188 respondents (39.8%), followed by 'time efficiency' accounting for 172 respondents (36.4%). Analysis of the demand for bibimbap (mixed rice) HMR products showed that 'chicken bibimbap' had the highest preference with 5.32 points, followed by 'bulgogi bibimbap' (5.08 points), and 'kimchi bibimbap' (4.96 points). In the case of HMR products that need to undergo further development, 'low-sodium products' received the highest points of 5.41 points, followed by 'small packaged products' (5.05 points), and 'functional products' (4.98 points). The factor analysis of the 13 selective attributes showed that they can be divided into 3 factors. The IPA analysis of the selective attributes of HMRs showed 'hygiene', 'taste', 'easy to go packaging', 'convenience in intake', and 'accessibility' in the 1st quadrant. In the 2nd quadrant, 'price' and 'freshness' were shown as the factors. In the 3rd quadrant, 'easy to serve', 'familiar food menu', and 'consistent menu' were shown as the leading factors, and in the 4th quadrant, 'saving labor' was the only factor. Conclusion: Based on these results, the research concludes that with respect to developing HMR products, there is a high demand for low sodium, low calorie, small packaged products; thus, showing the need to develop various HMR products for customer satisfaction. Furthermore, it shows that there is a need to consider developing HMR products that can maintain freshness at an affordable price.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.1
• /
• pp.329-338
• /
• 2019

In this study, we analyze consumer preferences based on the agricultural box scheme attributes, and make a suggestion for business revival. We estimate the marginal willingness to pay (MWTP) for box scheme attributes using a choice experiment. Attributes include the bundle method, the delivery method, and price. To select an efficient model for statistical analysis, we evaluate the conditional logit model, heteroscedastic extreme value model(HEV model), multinomial probit model, and mixed logit model under different assumptions. The results of these four models show that the bundle method, the delivery method, and price are statistically significant in explaining the probability of participation in a box scheme. The results of likelihood ratio tests show that the heteroscedastic extreme value model is the most appropriate for our survey data. The results also indicate that MWTP for a change from fixed type to selection type is KRW 7,096.6. MWTP for a change from parcel service to direct delivery and cold-chain delivery are KRW 3,497.5 and KRW 7,532.7, respectively. The results of this study may contribute to the government's local food policies.