• Journal of Agricultural Extension & Community Development
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• v.23 no.4
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• pp.387-403
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• 2016

This paper estimated the demand function of the cuts of Korean beef and imported beef by using the consumer panel and retail price data from the Korean Agro-Fisheries & Food Trade Corporation, and the weather data from the Korea Meteorological Administration with an log-log model and AIDS model. The results show that the preference for cuts of beef used for cooked soup, steamed dish, Changjorim are more elastic than cuts used for roasting when there is a change in price and income in the estimation of demand function of Korean beef. On the other hand, consumers respond sensitively with the demand of roasting part compared to steamed dish, Changjorim, soup when there is change in price and income in the estimation of demand function of imported beef. The results indicate that there is substitutional relationship between Korean beef and imported beef, because Korean beef cuts used for roasting can substitute for imported roasting part and the same relationship applies to steamed dish, soup, Changjorim. In addition, family number, family member, husband job, purchasing place, means of transportation, purchasing time, weather are statistically significant.

• Journal of Korean Society for Quality Management
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• v.38 no.4
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• pp.587-592
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• 2010

This paper deals with the performance evaluation of determining production size specifications. A customer who does not find the size specification he or she wants may purchase rather a larger or smaller one, but the purchasing desire decreases as the difference between the required and the prepared sizes increases. Introducing a generalized quality loss function which reflects how much the purchasing desire changes according to the difference, Park and Kim(1992) formulated a mathematical model for determining the size specifications so as to minimize the expected loss. Afterward the model has been applied to the determination of sizing system for mail order clothing and brassiere (Lee and Choi, 1996; Chun, et.al., 1996). The performance of the size determination method proposed by Park and Kim is evaluated in this paper. Usually the intervals between two successive size specifications are determined to be equal, but the size determination method compares favorably with the equidistance case, and more favorably if the population distribution is more skewed.

• Journal of Korean Society of Rural Planning
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• v.23 no.3
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• pp.61-72
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• 2017

The purpose of this paper is to estimate consumer's satisfaction by purchasing farmer's processed food. So, this paper surveyed consumers which have purchased Korean traditional soybean paste products, by reason of limiting research objects among lots of farmer's processed food. A survey of 220 consumers was carried out on September and October 2016. For this matters, this paper used multiple linear regression model(included LOG-LIN model) and, set up 1 dependent and 11 independent variables. As the analysis results, we could find out that consumer's satisfaction was affected by 6 variables(price, taste, ease of cooking, confidence of product information, social awareness and perceived 6th industrialization). Among these variables, the strongest variable was "social awareness", and the second was "perceived 6th industrialization". This paper also estimated the rate of change that a dependent variable was affected by independent variables. As the results, this paper found out that "perceived 6th industrialization" had the highest rate of change(5.8%) and the second was "social awareness"(5.6%). This paper proposed 7 implications of Korean traditional soybean paste. Those were the proper price policy and quality value's promotion, quality Improvement and confidence enhancement, development of products for consumer's convenience, enhancement of social awareness, enhancement of politic management about 6th industrialization and accessibility of purchasing information.

• Journal of the Korean Home Economics Association
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• v.39 no.12
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• pp.65-77
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• 2001

The purpose of this study is to propose development of simulation for make-up coordination by computer graphics and web animation program. In the 20th century, the power of the internet and www has been growing at such a rapid speed and also has provided the possibility of numerous market. Especially the internet marketing of womens products like cosmetics come into the spotlight as the way of sales. Many companies advertise their new products and give useful guidline of make-up technic on the website. So the contents of the website is one of the important thing to lead customer to purchasing. For the reason, this study tries develope a simulation of model in which customer can select their shape of face, color and theme whatever necessary. The model, color, theme palletes were designed by 'PHOTOSHOP 6.0'and the web image of simulation was made by 'FLASH ANIMATION 5.0'. As a result of this study is 1. It can give the chance to customer to make their own image of shape, color and theme through the simulation more speedly and exactly. 2. It can help company to advertise their new products, offer service for customers and lead customers to purchasing. 3. By accummulating the database, it can help to develop educational make-up system.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.173-179
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• 2016

This study was conducted to provide basic information for future Anseong local food policy and local food activation by finding the key factor determining consumer purchasing for Anseong local food. First, we conducted a survey and derived consumer purchasing attributes for the local food. Logistic regression analysis was performed to find the main factors that determine the consumers' purchase intention for Anseong local food out of such seven attributes as 'excellent quality', 'safety', 'good for health', 'activation of local economy', 'low price', 'accessibility', 'variety of items'. The results showed that the most influencing attributes on consumers' purchase decisions for Anseong local food were 'excellent quality' and 'low price' followed by 'accessibility' and 'activation of local economy'.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.811-822
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• 2020

This study investigates the gender differences in determinants of customers' satisfaction when purchasing online beauty and cosmetics products in Vietnamese market. To do so, we construct a data set via online survey of 419 Vietnamese customers including both males and females, and examine such sample using t-tests and multiple regressions. Our regression model is constructed based on our five-construct model including online shopping experience, customer service, external incentives, security and privacy, and personal characteristics. The t-tests results reveal that the mean difference of customer satisfaction (negative coefficient) between the two groups of customers (females and males) is statistically significant. This suggests that the purchasing satisfaction of male customers is significantly higher than that of their female counterparts. Similarly, we also find that male customers are more satisfied with their online shopping experience, customer service and external incentives offered by the online sellers than female peers. Furthermore, regression results for full sample show that, on average, the online shopping experience, customer service and external incentives are significantly and positively related to customer satisfaction. Yet, such positive effect of customer service on customer satisfaction is more likely for males while females' satisfaction is more positively influenced by security and privacy.

• Korea Trade Review
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• v.47 no.6
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• pp.71-96
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• 2022

This research will study the conversion intention of the users in China from fuel vehicle to new energy vehicles through the empirical methods. To this end, a questionnaire survey was conducted with car users as the object, combined with the theory of user migration and the PPM model to analyze the impact of fuel vehicle users' conversion intention to new-energy vehicles factor. The results showed that purchase experience contains the moderating effect, in which perceived risk and switching costs had a greater impact on the groups without purchase experience, whereas social identity, perceived value, personal attitude, and willingness to switch had a greater impact on groups with the purchase experience. Among all five factors, perceived risk had no discernible impact on the switching intention, but social identity, perceived value, attitude toward switching, and switching costs all had discernible impact on the switching intention. This study expects to come out with sustainable advises for the future growth of new energy vehicles from the study of car users' switching intention and the collective difference test of purchasing experience.

• The Journal of Industrial Distribution & Business
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• v.15 no.9
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• pp.29-35
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• 2024

Purpose: With the rapid development of the e-commerce industry, online e-commerce festivals represented by the "Double Eleven Online Shopping Festival" and "618 Mid-Year Promotion" in China play a unique role in consumer activities and have an important impact on various consumers. As aborigines in the Internet era, college students have huge consumption potential. In order to meet the pursuit of a better life for college students and achieve impressive business results, e-commerce platforms will launch various e-commerce festivals. Research design, data and methodology: This article constructs a research model based on the stimulus organism response model and clue utilization theory, proposes relevant hypotheses, and uses SPSS 27.0 to test the proposed hypotheses. From the perspectives of promotion level, timeliness, and variety of categories, this study aims to verify the impact of e-commerce festivals on college students' purchasing intentions and draw relevant conclusions. Results: Empirical verification has shown that the promotion level, timeliness, variety of categories, and holiday trust of e-commerce festivals have a significant positive impact on the e-commerce festival trust of college students as a consumer group. Conclusions: The conclusion on college students' purchasing intentions not only has guiding significance for the formulation of marketing strategies for enterprises, but also helps to understand the current behavior patterns of young consumers.

• Culinary science and hospitality research
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• v.5 no.1
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• pp.89-101
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• 1999

This study attempts to identify the most accurate quantitative forecasting technique for measuring the future level of demand for food ＆ beverage in super deluxe hotel in Seoul, which will subsequently lead to determining the optimal level of purchasing food ＆ beverage. This study, in detail, examines the food purchasing system of H hotel, reviews three rigorous univariate time series models and identify the most accurate forecasting technique. The monthly data ranging from January 1990 to December 1997 (96 observations) were used for the empirical analysis and the 1998 data were left for the comparison with the ex post forecast results. In order to measure the accuracy, MAPE, MAD and RMSE were used as criteria. In this study, Box-Jenkins model was turned out to be the most accurate technique for forecasting hotel food ＆ beverage demand among selected models generating 3.8％ forecast error in average.

• Management Science and Financial Engineering
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• v.18 no.2
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• pp.23-27
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• 2012

The problem of jointly determining a robust optimal bundle of price and order quantity for a retailer in a single-retailer, single supplier, single-product supply chain is considered. Demand is modeled as a decreasing power function of product price, and unit purchasing cost is modeled as a decreasing power function of order quantity and demand. Parameters defining the two power functions are uncertain but their possible values are characterized by ellipsoids. We extend a previous study in two ways; the purchasing cost function is generalized to take into account the economies of scale realized by higher product demand in addition to larger order quantity, and an exact transformation into an equivalent convex optimization program is developed instead of a geometric programming approximation scheme proposed in the previous study.