• 한국식품영양학회지
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• 제36권4호
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• pp.222-235
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• 2023

In this research, we examined the shifts in determinants influencing the frequency of eco-friendly food purchases pre- and post-COVID-19. Our analysis utilized filtered 2019-2021 Consumption Behavior Survey data from the Korea Rural Economic Institute Food, excluding any irrational responses. Given the nature of the dependent variable, a multinomial logistic regression model was employed with demographic factors, variables pertaining to food consumption behavior, and variables concerning food consumption awareness as predictors. Following the onset of the COVID-19 pandemic, an individual's level of education was observed to positively influence the frequency of eco-friendly food purchases. In contrast, income level and fluctuations in food consumption expenditure did not appear to have a discernible impact on the purchasing frequency of such eco-friendly products. Irrespective of the advent of COVID-19, variables such as the frequency of online food purchases, the utilization of early morning delivery services, dining out frequency, and the intake of health-functional foods consistently demonstrated a positive correlation with the propensity to purchase eco-friendly foods. Overall, consumers prioritizing safety, quality, and nutrition over price, taste, and convenience in their procurement decisions for rice, vegetables, meat, and processed foods exhibit an increased inclination toward the acquisition of eco-friendly food products.

• 가정과삶의질연구
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• 제14권4호
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• pp.27-40
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• 1996

The wide range of price found in food market allows consumer reduce the cost of food purchases through comparison shopping into one more stores. Littles known however about how much can be saved by comapring price for a whole market basket of food items. This paper present evidence relating to the comparison shopping through the theories on price is dispersion and show validity constructing methods of food market basket. It is found that the savings of comparison shopping to consumers are likely to be gains in food Markets and three market basket on foods suggest in study found to be validity.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2006년도 추계학술대회
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• pp.161-164
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• 2006

The sales of consumer durables are composed of first time purchases and replacement purchases. Since the sales for most mature durable products are dominated by replacement sales, it is necessary to develop a model incorporating replacement component of sales in order to forecast total sales accurately. Several single product diffusion models incorporating replacement demand have been developed, but research addressing the multi-product diffusion models has not considered replacement sales. In this paper, we propose a model based on consumer choice behavior that simultaneously captures the diffusion and the replacement process for multi-product relationships. The proposed model enables the division of replacement sales into repurchase by previous users and transition purchase by users of different products. As a result, the model allows the partitioning of the total sales according to the customer groups (first-time buyers, repurchase buyers, and transition buyers), which allows companies to develop their production and marketing plans based on their customer mix. We apply the proposed model to the Korean automobile market, and compare the fitting and forecasting performance with other Bass-type multi-product models.

• Agribusiness and Information Management
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• 제5권2호
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• pp.1-5
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• 2013

Demographic transition drives changes in consumer demand for food products. This study examines how rising incomes and population trends affect spending on food purchased for home. The objective of this study is to characterize the relationships between selected socio-demographic factors and food selection among South Korean households. Panel data from Rural Development Administration (RDA) in South Korea in 2010 was used (n=971). Household food purchases were classified into one of the five food groups from Composition of Foods of RDA. Multiple regression analysis was used to analyze the effects of household size and income based on the expenditure share on each food group. All statistical analyses were performed using SAS/ PC version 9.3. Results show that household socio- demographic characteristics have a strong influence on food purchasing, with the purchase of vegetables and fruit, and processed food and pre-packaged being particularly sensitive.

• Management Science and Financial Engineering
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• 제11권3호
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• pp.19-45
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• 2005

Collaborative filtering is one of the most common methods that e-commerce sites and Internet information services use to personalize recommendations. Collaborative filtering has the advantage of being able to use even sparse evaluation data to predict preference scores for new products. To date, however, no in-depth investigation has been conducted on how the data sparsity effect in customers' evaluation data affects collaborative filtering-based recommendation performance. In this study, we analyzed the sparsity effect and used a hybrid method based on customers' evaluations and purchases collected from an online bookstore. Results indicated that recommendation performance decreased monotonically as sparsity increased, and that performance was more sensitive to sparsity in evaluation data rather than in purchase data. Results also indicated that the hybrid use of two different types of data (customers' evaluations and purchases) helped to improve the recommendation performance when evaluation data were highly sparse.

• International journal of advanced smart convergence
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• 제13권2호
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• pp.44-47
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• 2024

With the advancement of Internet technology, online sales and purchases of products have become active. Along with this, the importance of user reviews is also being highlighted. Although user reviews are actively utilized for product sales and purchases, it is difficult to quickly and easily obtain useful information due to the abundance of user reviews. Therefore, prioritizing user reviews is a necessary service for customers that requires careful consideration. Metadata, which contains important information, can be effectively used to prioritize user reviews. However, it is crucial to select and use metadata appropriately according to the purpose. Lean Startup proposes a strategy of repeatedly correcting the problems of ideas or making early transitions to continue trying different approaches. In this paper, we propose a three-step method applying the Lean Startup process to analyze ways to prioritize user reviews using metadata: Build Priority, Measure Priority, Learn Priority.

• Asia pacific journal of information systems
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• 제34권1호
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• pp.226-247
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• 2024

Most studies on recommender systems to evaluate recommendation performances focus on offline evaluation methods utilizing past customer transaction records. However, evaluating recommendation performance through real-world stimulation becomes challenging. Moreover, such methods cannot evaluate the duration of the recommendation effect. This study measures the personalized recommendation (stimulus) effect when the product recommendation to customers leads to actual purchases and evaluates the duration of the stimulus personalized recommendation effect leading to purchases. The results revealed a 4.58% improvement in recommendation performance in the online environment compared with that in the offline environment. Furthermore, there is little difference in recommendation performance in offline experiments by period, whereas the recommendation performance declines with time in online experiments.

• 가족자원경영과 정책
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• 제6권2호
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• pp.31-52
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• 2002

This study classified consumers' behaviors of purchasing gifts, divided groups by the types of similar behaviors, and examined impacts of demographic variables, relevant variables in purchasing processes on those behaviors. Findings of this study can be summarized as follows. First, factors explaining consumers' behaviors of purchasing gifts were the tendency of demonstrative purchase, the level of placing values to the meaning of gifts, the level of altruism and rationality in the purchase of gifts, and the tendency of impulsive purchase. On the basis of these five factors, five distinct consumer groups showing similar behaviors of purchasing gifts based on the results of Cluster analysis were identified. Those groups were impulsiveㆍdemonstrative groups, impulsiveㆍnon-sincere groups, indifferent groups, non-impulsiveㆍdemonstrative groups, non-altruistic'ㆍrational groups, sincere groups, and altruisticㆍrational groups. Second, behaviors of purchasing gifts showed significant differences depending on gender, educational levels, occupational types, and women's employment status. Consumers with high education, professional occupation, high income tended to show the demonstrative purchase. Male consumers were not interested in the purchases of gifts and placed high values on the meanings of gifts. In contrast, female consumers showed rational behavior, but revealed the tendency of demonstrative in the purchase of gifts as well. Finally, behaviors of purchasing gifts were also different depending on the method of gathering consumer information, places of purchasing gifts, experiences of ordering paid wrapping gifts and the relevant costs, consumers' evaluations of the purchases of gifts, and degrees of satisfaction after the purchase of gifts. Impulsive'ㆍdemonstrative groups and non-impulsive'ㆍ demonstrative groups preferred departments as places of purchasing gifts and choose ordering paid wrapping gifts but showed dissatisfactions after purchases of gifts. Consumers who belongs to non-altruistic'ㆍrational groups, sincere groups, and altruistic'ㆍ rational groups tended to prefer local stores in their own villages as places of purchasing gifts and did not order paid wrapping gifts while showing high after the purchase of gifts.

• 한국IT서비스학회지
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• 제16권2호
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• pp.21-32
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• 2017

This study analyzes the variable consumer characteristics that influence the intention to use online product reviews. In online e-commerce, where purchases take place without consumers seeing the products in person, the product reviews left by other consumers who have already purchased the product are believed to be valuable information. However, when different consumers read the same product review, their responses to it may vary. This study analyzes the characteristics of consumers who utilize product reviews for their purchases. Consumer characteristics are categorized into personal information, personality, purchasing tendency, and experience related to product reviews. These factors are examined to see if they have direct or indirect effects on a consumer's intention to use product reviews when making online purchases. We surveyed a total of 240 consumers who had experience using e-commerce and knew about online product reviews. Once the data was collected, path analysis was conducted using the statistics tool AMOS. The study results reveal that consumers who are female, extroverted, and have higher price sensitivity think that product reviews left by others are useful, and that this "perceived usefulness" has a positive effect on the intention to use product reviews for making online purchasing decisions. In addition, consumers who are agreeable to others, have high brand sensitivity, and who have left numerous reviews themselves demonstrated the tendency to trust reviews left by others more. Thus, we conclude that this "perceived reliability" makes it more likely that a consumer will use product reviews when making online purchasing decisions. Future research can be done to develop this study further by analyzing whether providing online product reviews corresponding to the personal characteristics of consumers enhances the effect of product reviews on online purchasing decisions.

• 한국의류산업학회지
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• 제15권5호
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• pp.743-752
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• 2013

Consumers can share their diverse opinions about products due to the increased popularity of smartphones and the internet that enables increased access to the websites and encourages the use of 'SNS' (Social Network Services). Social commerce has expanded rapidly as a mainstream online shopping channel over the past year, compelling consumers to spend more money vis-$\grave{a}$-vis social commerce websites. This allows individuals to see different lists of prices for specific products; however, it is also likely to lead to serious compulsive buying. Despite these changing trends, earlier studies have been limited to factors that affect impulse purchases vis-$\grave{a}$-vis Internet shopping malls; therefore, in is salient to conduct research on consumer spending habits related to social commerce websites. This study describes the characteristics of consumers and utilizes social commerce websites as parameters for the impact of impulsive shopping based on a survey of 300 women in their 20's who have experienced impulse buying vis-$\grave{a}$-vis social commerce websites. This study shows that: First, discounts, product scarcity and social commerce site's reputation affect impulse buying when consumers buy products from the social commerce websites. Second, variables on the characteristics of the personal experiences, interests, and self-control also stimulate impulsive purchases.