• Journal of Distribution Research
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• v.4 no.1
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• pp.17-29
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• 1999

We investigated the consumer behavior of store choice using consumer panel data. The NBD-Dirichlet model known to be predictive of the consumer's brand choice was also found to be well fitted for the store choice behavior. Understanding the regularity in the store choice will provide both manufacturers and sistributors with the necessary guidelines for their competitive strategies.

• The Journal of Industrial Distribution & Business
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• v.7 no.4
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• pp.11-16
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• 2016

Purpose - There are numerous theories for retail trade area analysis which are designed to select candidate locations for new stores. In this study, comparative analysis on the characteristics from those of the theories are shown, and the explanation for the power in consumers' store-choice behaviors and their limitations are examined. Also, plans for improving commercial sphere analysis are explored. Research design, data, and methodology - This study is based on literature reviews with normative research methodology. Among many researches regarding the analysis on the location and commercial sphere for launching a new store, researches relying on statistics are excluded in this study since they belong to the marketing research area,. Results - In the Law of retail gravitation, Huff's model multinomial logit model and etc. are mutual complementary mathematical techniques for analyzing commercial spheres and each of them has its own characteristics. These theories rely on the same hypothesis in which consumers are all believed to be behaving rationally under a similar behavioral system. However, the trial in explaining or estimating behavior of choosing a store with only a select size of the population that is objectively estimated by some major properties has limits in its credibility. Conclusion - Research on consumer's spatial behaviors can be fully illustrative and explainable when it has both quantitative approaches such as 'law of retail gravitation', 'logit model' and etc., and qualitative approaches like consumer's 'cognitive structure', 'learning status', 'image formation', 'attitude' and etc.

• Asia-Pacific Journal of Business
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• v.1 no.2
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• pp.23-46
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• 2010

Despite the explosive growth of no-frill airline industry, very little is known about how consumers make purchase decision in such settings. Today's airline industry requires choice models consistent with consumers' true preference sets. This study used conjoint analysis to identify these ideal choice models. 38 percent of the subjects were found to use compensatory and 62 percent non-compensatory models. Our findings suggest a need to base choice-making promotions on ideal choice models if the promotion is to lead consumers to decisions consistent with true preferences.

• Journal of Distribution Research
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• v.4 no.3
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• pp.47-64
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• 2000

This study introduces the mother logit model to predict consumer's store choices. The model is not based on the IIA assumptions and thus accounts for substitution among similar alternatives. The choice data as an input to the model is obtained through the conjoint-type choice experiment. The model is applied to consumer's choice of fastfood stores in the context where new store enters the market. The analysis shows that the substitution effects are significant and therefore the mother logit model predicts better than the IIA model. The mother logit model will be useful as well for the market structure analysis in capturing cannibalization among several brands.

• KDI Journal of Economic Policy
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• v.38 no.1
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• pp.23-52
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• 2016

This paper examines the impact of introducing high-speed trains on consumer welfare, taking the ensuing changes in train schedules into account. Based on the estimated demand model for travel which incorporates consumer's heterogeneous preferences for travel schedules into the standard discrete-choice model, I separately evaluate the impact from adding high-speed trains and that from changes in train schedules. The results indicate that consumers who travel between two cities connected by high-speed trains benefit from the introduction of high-speed trains, while some travelers whose choice set does not include high-speed trains face a reduced frequency of non-high-speed trains, resulting in significant losses.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.947-953
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• 2020

The main purpose of this study is to find the factors affecting the consumer goods buyers' choice on e-commerce sites in Vietnam. By using the quantitative method, the paper examines the theoretical research model and tests four hypotheses. The sample was drawn from the population of e-commerce sites in Vietnam comprising about 1,000 respondents. This study used the questionnaire method to collect primary data to test the hypotheses. Data analysis of the questionnaire was done using SPSS. The results show that there is a correlation between personal preferences of consumers on colors and brands and their actual final choice on e-commerce sites in Vietnam. The most important factor affecting the consumer goods buyers' choice on e-commerce in Vietnam is the brand of E-commerce site, following by the color and position. Among all educational groups, respondents with a Master degree pay the biggest attention to the site's color attribute, and those with a Bachelor degree pay more attention to the brand attribute. Women pay much more attention to the location of the products on the screen than men, as do consumers with a PhD degree, over respondents with a Bachelor or Master degree, and foreigners over Vietnamese consumers.

• The Journal of Fisheries Business Administration
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• v.40 no.2
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• pp.27-48
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• 2009

The objective of this paper is to estimate consumer's marginal willingness to pay(MWTP) for cold chain system attributes of mackerel using choice experiment questionnaires. The survey data were analyzed by conjoint analysis method with multinominal logit model. The five cold chain system attributes with $2{\sim}4$ attribute levels were considered : low temperature safekeeping of fishing boats, a kind of transport truck and packing box, using degree of low temperature facility in distribution, mackerel price per fish(1kg). At least 827 people were asked to participate in the survey. The major findings and implications of this study can be summarized as follows : The estimated multinominal logit model is statistically significant and the total consumers willingness to pay for the improved cold chain system attributes is 6,476 won (per kg). Compared with the base price(2,500 won/kg), the estimated MWTP is 2.5 times higher than the base price. Therefore, the consumer has a willingness to pay for the fresh and safe fish products, even though more money is paid. To satisfy the consumer's needs, cold chain system is necessary in point of long-term. In this reason, The government's policy support is needed for promoting cold chain system in fishery, and a master plan should be prepared.

• Journal of Distribution Science
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• v.10 no.12
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• pp.25-34
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• 2012

Purpose - This study examines college students' perceived choice attributes in traditional markets and the relationship quality. We study the relationships between attributes that common people look for while choosing a store (e.g., product, service, advertising, and atmosphere), consumption emotion, consumer's value, and relationship quality. Research design, data, methodology - In order to verify the relationship between choice attributes and relationship quality, and moderating (i.e., consumption emotion) and mediating effects (i.e., customer value), we collected data from 202 consumers in Gyeonggi province to test the theoretical model and its hypotheses. For this purpose, this study, utilized an empirical methodology. Results - First, contrary to the previous research findings involving college students, this study observed that four factors of store choice attributes at a traditional market were important to consumers in heightening the relationship quality. Specifically, product (β = .608, p < .01), service (β = .351, p < .01), advertising (β = .237, p < .01), and atmosphere (β = .425, p < .01) are significantly related to relationship quality. Second, consumers selected product (β =. 521, p < .01) as the most important attribute. Atmosphere (β = .254, p < .01) and service division (β = .148, p < .05), in this order, are the other important factors in this regard. However, advertising (β = -.112, p = .100) is not statistically significant. To improve and develop the relationship quality with consumers, traditional markets should ensure supply of suitable products and goods, improve store atmosphere by modernizing facilities, and educate merchants to improve their services. Third, the results of the moderating effects, although marginally statistically significant, suggest that for the consumers with low consumption emotion for traditional markets, an affirmative experience of products and store atmosphere heightens their values. In addition, the consumers having low consumption emotion who could promote consumer values were found to improve and develop a marginally significant relationship quality. Finally, the study revealed that the consumer's value exhibited a complete mediation effect in the relationships between service and relationship quality, and advertising and relationship quality and a partial mediation effect in the relationships between product and relationship quality, and atmosphere and relationship quality. Conclusions - Consumer satisfaction is important to increase the competitiveness of traditional markets, and products and store atmosphere are important attributes to increase the relationship quality. Specifically, merchants should supply different products, modernize their facilities, and improve store atmosphere to compete in traditional markets. In addition, traditional markets should provide value and competitive prices to attract consumers, and should maximize the consumer's value and promote the consumption emotion. Traditional markets should evolve to accommodate changes in the consumer's value and invest in not only functional elements but also symbolic elements.

• Korean Journal of Agricultural Science
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• v.38 no.2
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• pp.361-368
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• 2011

This study aims to examine the consumer preference for packaged bean curd that takes a growing public interest. Specifically, this study tried to examine which is more important - the place of origin of the raw bean or the environmental-friendliness of the raw bean. Surveys were conducted to obtain information, such as the consumer evaluation for food safety on imported food products from China and the consumer perception of Chinese organic food products, Using the binary probit model, the relationship between consumer's choice of packaged bean curd and potentially important factors that can affect the consumer's choice was analyzed. A summary of this research and some policy implications follow. The results of this study can be used as the basic guideline as to how to extend the safety of imported food products, in general, and how to further develop the packaged bean curd industry in Korea, in particular.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.93-115
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• 2017

The ability of smartphones to facilitate various services like mobile banking, e-commerce and mobile payments has made them part of consumers' lives. Conjoint analysis (CA) is a marketing research approach used to assess how consumers' preferences for products or services develop. The potential applications of CA are numerous in consumer electronics, banking and insurance services, job selection and workplace loyalty, consumer packaged goods, and travel and tourism. Choice-Based Conjoint (CBC) analysis is the most commonly used CA approach in marketing research. The purpose of this study is to utilise CBC analysis to investigate the relative importance of smartphone attributes that influence consumer smartphone preference. An experiment was designed using Sawtooth CBC Software. 326 students attempted the online survey. Utility values were derived by Hierarchical Bayes (HB) estimation and used to explain consumers' smartphone preferences. All the six attributes used for the study were found to significantly influence smartphone preference. Smartphone brand was the most important, followed by the price, camera, RAM, battery life, and storage. This study is one of the first to use Sawtooth CBC analysis to assess consumer smartphone preference based on the six attributes. We provide implications for the development of new smartphones based on attributes.