• Journal of Families and Better Life
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• v.23 no.6 s.78
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• pp.145-153
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• 2005

The purpose of this study was to analyze the impacts of consumers' demographic characteristics on their involvement in retired communities, under the assumption that consumers' involvement in retired communities would be a preceding factor of the consumers' preferences for retired communities. One of the major findings of this study was that there were statistically significant differences in the involvement in retired communities by several demographic variables such as age, gender, level of education, income, total family asset, consumer values, and pursuit of happiness. Second, such involvement was strongly correlated with consumer preferences. Third, the community management styles, such as sales and rental conditions, significantly influenced consumers' level of preference. The results from this study could provide useful information not only for understanding the residents of retired communities, buffer enhancing the welfare of residents of retired communities.

• Journal of Distribution Science
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• v.13 no.3
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• pp.51-60
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• 2015

Purpose - Among potential marketing strategies, the most efficient method to encourage purchase intention is through sales promotions. Sales promotions also serve to enhance customer satisfaction, which is closely related to the incidence of repurchases. Therefore, the success of retail stores greatly depends on the effectiveness of their promotional activities. The present study aimed to obtain the necessary information for apparel stores to establish more effective promotional activities. To this end, the study's specific research questions were to examine 1) consumer satisfaction with the recent sales promotions of retail apparel stores, 2) the levels of consumer preferences for different types of sales promotions (cash discounts, promotional gifts, prize drawings, discount coupons, stamp cards, or mileage cards), and 3) the differences in purchase intention according to preference levels for different types of sales promotions. Research design, data, and methodology - The research employed a descriptive survey method using a self-administered questionnaire. The sample consisted of 700 men (n=234) and women (n=466) ranging in age from their 20s to their 50s and residing in the Seoul area. Data were analyzed through methods including factor analysis as well as Cronbach's α coefficients, the t-test, ANOVA, and the Duncan test. Results - Differences among consumer preferences were identified for each type of sales promotion according to the purchase amount and the customer's age. In relation to purchase amounts below 500,000 won, participants in their 50s have lower preferences for price discounts than those in their 20s or 30s, whereas participants in their 40s or 50s have lower preferences for stamp cards and mileage cards than those in their 20s. When the purchase amount is greater than 500,000 won, housewives have higher preferences for promotional gifts than respondents with other occupations. However, no gender differences were found with regard to preference levels for the different types of sales promotions. Respondents generally exhibited mediocre satisfaction with the sales promotion events of retail apparel stores. They also expressed negative opinions about sales promotions when such promotions lead to high prices, as well as dissatisfaction with the poor quality of promotional gifts. It was also found that, regardless of the purchase amount, the groups with higher preferences for discount coupons and mileage cards displayed higher purchase intentions. Only when the purchase amount is greater than 200,000 won did the group with higher preferences for lottery system promotional gifts express higher purchase intentions. On the other hand, for all purchase amount sizes, there were no differences in purchase intentions according to preferences for cash discounts, promotional gifts, or stamp cards. Conclusions - The results revealed that greater effort must be devoted to enhancing consumers' satisfaction levels with the promotional activities performed by apparel retail stores. The results also showed that it is necessary to differentiate among sales promotion strategies according to preference levels for different types of sales promotions, purchase amounts, and target consumer ages.

• Smart Media Journal
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• v.9 no.4
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• pp.73-80
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• 2020

With the advent of the Internet era, consumer lifestyles have been changed tremendously, and mobile payment has carried out an increasingly extensive coverage of the people's life trajectory. Taking the design of the mobile payment interface as an example, we use a conjoint analysis method to survey college students in Guangxi, where questionnaires are collected from 270 people in different groups according to gender. The method separates the attributes that affect consumer choice of mobile payment interface design and the utility value of the attribute level to analyze consumer needs and preferences, and then obtains consumers' potential evaluation criteria for mobile payment interface design. The results of the study show that the attributes that influence consumers' choice of mobile payment interface design are, in order of preference: page layout, identification convenience, verification, module distribution, entertainment, and information encryption. Consumer groups of different genders show differences in their preferences in the mobile payment interface design and Consumer needs reflect consumer psychology. Several findings are obtained on the consumers' preferences on the mobile payment interface design, which may be used to improve future design processes.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.31-49
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• 2023

With the growth of the food-catering industry, consumer preferences and the number of dine-in restaurants are gradually increasing. Thus, personalized recommendation services are required to select a restaurant suitable for consumer preferences. Previous studies have used questionnaires and star-rating approaches, which do not effectively depict consumer preferences. Online reviews are the most essential sources of information in this regard. However, previous studies have aggregated online reviews into long documents, and traditional machine-learning methods have been applied to these to extract semantic representations; however, such approaches fail to consider the surrounding word or context. Therefore, this study proposes a novel review textual-based restaurant recommendation model (RT-RRM) that uses deep learning to effectively extract consumer preferences from online reviews. The proposed model concatenates consumer-restaurant interactions with the extracted high-level semantic representations and predicts consumer preferences accurately and effectively. Experiments on real-world datasets show that the proposed model exhibits excellent recommendation performance compared with several baseline models.

• ETRI Journal
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• v.28 no.2
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• pp.205-215
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• 2006

Wireless data communication (WDC) services are increasingly penetrating the market. The two main alternative WDC technologies are wireless LAN and mobile Internet. Services based on these technologies display differences in quality attributes such as terminal device, data transmission speed, pricing scheme and so on. How consumers choose between these two alternatives will be determined by their preferences regarding such quality attributes. In turn, their preferences will affect the evolution of WDC services and related technologies. This study employs a conjoint analysis of consumer valuations of quality attributes of wireless LAN and mobile Internet services. Respondents rate hypothetical service alternatives featuring various combinations of quality attributes. By estimating consumer willingness to pay for the attributes of WDC services, the authors predict the evolution of WDC services and related technologies along various quality dimensions, make a comparison with the results of a previous study, and draw policy implications for national-and company-level R&D strategies.

• Journal of Agricultural Extension & Community Development
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• v.16 no.4
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• pp.795-835
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• 2009

Rural tourism is a multi-faceted activities rather than farm-based tourism only. The study aims to investigate the profile of a consumer for each type of preferences of tourism activities. Data were collected from 308 people by field survey in rural areas. The study indicates that consumer satisfied with farmer's kindness and farmer's knowledge above all difference factors on tourism activities. The most preferences of activity's factor is program's quality which is include variety, characteristics, interest without regard to sex, age, companion. Both 'walking on the road' and 'climbing the Orum' is more likely than difference activities. It is important to have information on the characteristics and preferences of the consumers of the different types of tourism activities to develop program in rural tourism.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.93-107
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• 2009

This study investigated consumer preferences for Internet medical information service in China using the multi-attribute utility theory. The multi-attribute utility theory is a compositional approach for modeling consumer preferences wherein researchers calculate the overall service utility by summing up the evaluation results for each attribute. We found that Chinese Internet medical information users consider the availability of information and quick response to be the most important attributes. Further, they think that the comment feature is less important as compared to other attributes such as costs and updates. In addition, we found that the Internet users having more Internet experience consider these attributes to be more important as compared to the people who are just beginning to surf the Internet. For any successful Internet business, Internet marketers should assess individual-level preference and accordingly organize a fresh campaign. As of now, Internet marketers need estimation methods to predict the market performance of new services in many different business environments. We believe that the multi-attribute utility theory is a useful approach in this regard.

• Journal of Fisheries and Marine Sciences Education
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• v.21 no.4
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• pp.607-621
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• 2009

In order to deal with consumer's demand changes in market condition, it is necessary to have a study on the consumer behavior to promote seafood consumption. The objective of this study is to examine the factors that have influences on consumer involvement of seafood. It is also aim to examine how the situation of seafood factors influences the consumer's behavior in purchasing and consuming the seafood. In this study, I have conducted a survey by using Busan housewives as random sampling. To examine this variable, situation factors that I used if the factor analysis. I also performed a multiple regression analysis to understand how the situation factors influenced the consumer's emotion and their satisfaction within the level of involvement. The result showed that consumer involvement seafood is created by not only interests and preferences, but also knowledge, perceived risk and profits. The seafood situation factors are divided into purchase situation, consumption situation and communication situation: purchase situation includes store factor, while consumption situation includes health factor and cooking-motive factor and communication situation includes information factor. Results of examining whether there are differences in the involvement explains that the involvement is different according to the level and it is divided into 2 groups. The first groups is the high-involvement group that shows preferences and interests, perceived risk and profits. Another group is the low-involvement group that shows preferences and interests, knowledge and profits. The result on examining whether situation sectors have influences on the involvement shows that high-involvement group is only affected by store factor in purchase situation and low-involvement group is only affected by information factor in communication situation.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.1-20
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• 2008

Based on the multi-attribute utility theory (MAUT), we present a survey method to measure consumer preferences. The multi-attribute utility theory has been used to make decisions in OR/MS field; however, we show that the method can be effectively used to estimate the demand for new services by measuring individual level utility function. Because conjoint method has been widely used to measure consumer preferences for new products and services, we compare the pros and cons of two consumer preference survey methods. Further, we illustrate how swing weighing method can be effectively used to elicit customer preferences especially for new telecommunications services, Multi-attribute utility theory is a compositional approach for modeling customer preference, in which researchers calculate overall service utility by summing up the evaluation results for each attribute. On the contrary, conjoint method is a decompositional approach, which requires holistic evaluations for profiles. Partworth for each attribute is derived or estimated based on the evaluation, and finally consumer preferences for each profile are calculated. However, if the profiles are quite new and unfamiliar to the survey respondents, they will find it very difficult to accurately evaluate the profiles. We believe that the multi-attribute utility theory-based survey method is more appropriate than the conjoint method, because respondents only need to assess attribute level preferences and not holistic assessment. We chose swing weighting method among many weight assessment methods in multi-attribute utility theory, because it is designed to perform in a simple and fast manner. As illustrated in Clemen and Reilly (2001), to assess swing weights, the first step is to create the worst possible outcome as a benchmark by setting the worst level on each of the attributes. Then, each of the succeeding rows "swings" one of the attributes from worst to best. Upon constructing the swing table, respondents rank order the outcomes (rows). The next step is to rate the outcomes in which the rating for the benchmark is set to be 0 and the rating for the best outcome to be 100, and the ratings for other outcomes are determined in the ranges between 0 and 100. In calculating weight for each attribute, ratings are normalized by the total sum of all ratings. To demonstrate the applicability of the approach, we elicited and analyzed individual-level customer preference for new telecommunication services-WiBro and HSDPA. We began with a randomly selected 800 interviewees, and reduced them to 432 because other remaining ones were related to the people who did not show strong intention for subscription to new telecommunications services. For each combination of content and handset, number of responses which favored WiBro and HSDPA were counted, respectively. It was assumed that interviewee favors a specific service when expected utility is greater than that of competing service(s). Then, the market share of each service was calculated by normalizing the total number of responses which preferred each service. Holistic evaluation of new and unfamiliar service is a tough challenge for survey respondents. We have developed a simple and easy method to assess individual level preference by estimating weight of each attribute. Swing method was applied for this purpose. We believe that estimating individual level preference will be quite flexibly used to predict market performance of new services in many different business environments.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.585-593
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• 2021

In this study, Author supposed that consumer preferences for domestic cosmetics may be different depending on the level of social support and advice & inducement from people around them, and analyzed whether these variables have mediating effects in the impact relationship between cosmetic-related factors and consumer preferences. For data collection, a questionnaire was conducted on women under 40 years of age living in the metropolitan area and analyzed through AMOS8 structural equation modeling. As a result of the analysis, it was found that advice & inducement had a very significant mediating effect on the consumer preference for domestic cosmetics, but social support did not have a mediating effect. Therefore, in order to increase the consumer preference for domestic cosmetics, it is necessary to find a way to activate the advice & inducement of the people.