• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.1
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• pp.170-183
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• 2017

The rapid growth of digital consumption has significantly changed the shopping behavior of consumers. The consumption paradigm is changing; subsequently, an omni-channel has been introduced that empowers consumers to interact with firms through a myriad of touch points in multiple channels. This study is to understand the perceptions and behavioral characteristics of consumers in the purchase process (e.g., information search and purchase phase). A qualitative method was adopted for this study and data were collected through semi-structured in-depth interviews with 15 omni-channel consumers. The results of this study were as follows. At the information search stage, consistency was the most important consideration for consumers who also wanted to retain channel-specific benefits. Consumers also searched for differentiated information among distribution channels. At the purchase stage, participants choose a shopping channel according to shopping values. They utilized newly introduced services (e.g., "online purchase, offline pick-up", FinTech) that combine retail channels. Our findings provide significance in managing omni-channel services. First, it is recommended that fashion retailers provide seamlessly integrated experience to consumer and adopt a consumer-centered channel choice strategy. Second, fashion retailers must maintain a constant attitude toward shopping experience to fashion, such as shopping enjoyment and exclusiveness.

• Korean Journal of Agricultural Science
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• v.49 no.3
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• pp.607-617
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• 2022

As the number of households raising pets increases, the pet food industry is also growing. Since pets cannot express their intention explicitly, it appears that the owner's perception mainly affects the selection of products related to pets. In this study, consumers were categorized based on their interest in food choices and the factors influencing their interest in pet food were empirically analyzed. For the analysis, a cluster analysis, factor analysis, and Tobit analysis were conducted using consumer survey data for raising companion animals. The major findings of the study were as follows. As a result of the factor analysis and cluster analysis using questions for consumers' food consumption choices, consumer types were classified into high-interest, low-interest, and practical-seeking types. The degree of interest in pet food was high in the order of high-interest, practical-seeking, and low-interest type. Demographic characteristics such as gender, education, and household type correlate with differences in the degree of interest in pet food, and the food selection criteria of consumers also affect the degree of interest in pet food. These results show that consumers who are more interested in their food choices are more interested in pet food, and this will make possible to know pet owner's purchasing behavior for pet food.

• Journal of Distribution Science
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• v.11 no.5
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• pp.63-76
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• 2013

Purpose - For the past several decades, behavioral economics or behavioral decision theory has undergone rapid development. This study provides a critical review of the development of behavioral economics with a focus on what are deemed to be core theories in the field. Starting from the utility function proposed by Daniel Bernoulli in the 18th century, the development history of utility functions until the emergence of the prospect theory is thoroughly reviewed. Some of the experimental results violating the traditionally assumed utility function and supporting the prospect theory value function are summarized. The most representative principles of rational choice are transitivity, independence from irrelevant alternatives (IIA), and regularity. The development of behavioral economics has been triggered by finding counter-examples to these principles. Some of the choice behaviors discussed in this study as counter-examples to the traditional theories of rational choice are the St. Petersburg paradox; the Allais paradox; gambling behavior; and the various context effects including the similarity effect, attraction effect, and the compromise effect. The Elimination-by-Aspects (EBA) model, which was proposed as an explanation for the similarity effect, is discussed in detail as well. Based on the literature review and further analysis, this study summarizes the relationship between the context effects, prospect theory, and EBA model. Research design, data, and methodology - This study provides an extensive literature review on several important theories in the field of behavioral decision theory and adds some critical comments to the theories and the relationships among them. This study first reviews the development of utility functions. Daniel Bernoulli introduced the concept of utility function to solve the St. Petersburg paradox. In the mid-20th century, Herbert Simon proposed the "satisficing" heuristic and presented a value function with a shape different from traditional utility functions. This study highlights the strengths and weaknesses of several utility functions proposed until the emergence of the prospect theory value function. Results - This study posits that prospect theory and EBA model are the two most important theories in the field of behavioral decision theory. They can explain various choice behaviors that traditional utility maximization analysis has been unable to. The application of these models to various fields is further increasing nowadays. This study explains how prospect theory and the EBA model can be used to explain the context effects. Conclusions - The traditional economic theory relies on a single variable called "utility" in explaining consumer choice. However, this study argues that, in investigating consumer choice, several other variables should also be considered. These are the similarity among alternatives, an alternative's prototypicality within the category, the dominance relationship between alternatives, and the reference point in evaluating alternatives. Due to the development of behavioral economics, we are now closer to a more complete understanding of consumer choice behavior than in the past when we had only a single tool called utility.

• Journal of the Korean Society of Costume
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• v.24
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• pp.217-233
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• 1995

The ultimate purpose of this study is to suggest the most effective marketing strategy for the clothing consumer market based on the new generation consumer's clothing selection behavior analysis. In this thesis, it is appempted to make a progress in the new gen-eration consumer's clothing life style types, in clothing purchase behavior analysis among the clothing life style, and also in the marketing strategy for marketers. The subjects selected for the final analysis are 412 the new gerneration women of age 20 thru 34 in seoul and satellite town area. Data were processed the spss package program. As for the analytic method, factor analysis, clustering analysis, XCross-tubulation, F-test with ANOVA, frequency and percentage were applied in the survey. The major findings are as following : life style is classified into four types : The characteristic fashion-directory type(25.7%) ; The reason traditional type(9.0%) ; The sen-sitivity fashion-following type(11.0%) ; The community brand-conscious type(54.3%). 2 Clothing life style types characteristic of the new generation consumer proved that clothing life style types are a significant difference according to the life style, the fashion consciousness and the average monthly spend-ing on clothing. 3. There is an important discrimination according to the clothing life style types in their clothing purchase behavior such as infor-mation usage, clothing choice criterion and brand loyalty. 4. Based on the result of our analysis and the review of literature, the marketing strategy is suggested that characteristic and new design development is efficient way to consumer's purchase need. Therefore apparel industary which pursue an added value must frame marketing strategy on the basis of the target consumer's sensitivity characteristic according to the life style and fashion consciousness.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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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.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.1863-1871
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• 2006

This paper develops and defends the concept of reference-quality in consumer choice, demonstrating its impact on aggregated market demand. The concept of reference-quality refers to an internal standard against which observed qualities are compared in consumer choice behavior. In doing so, we examine and reveal the formation mechanism and the structure of reference-quality in the U.S. wireless phone market. Consequently, we recognize and introduce a brand-specific reference both in price and product quality in aggregated product demand which enable us to measures the responsiveness of market demand to the innovation of a certain brand.

• Food Science and Industry
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• v.52 no.1
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• pp.2-10
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• 2019

Sensory and consumer science is one of the four core sciences in food science training. In early years, this field of studies are focused on providing food technologists information of sensory attributes of food for quality control and product optimization, and referred as sensory evaluation or sensory science interchangeably. Yet, during the last decades, its scope has been much broadened looking at sensory properties of food not just as product attributes but consumer-perceived properties, emphasizing human experience. Attentions are increased for sensory fundamentals(sensory psychology and physiology) and multidisciplinary integration of theories and measurement methods for improving satisfaction of consumers' sensory experience and promoting healthy eating and wellbeing. The Sensory Evaluation(SE) division of Korean Society of Food Science and Technology(KoSFoST) has recently changed its name to Sensory and Consumer Science(SCS) division in order to address such evolution of the field and sensory professional's role.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.2
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• pp.284-295
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• 1999

The purpose of this study was to investigate characteristics on Department stores consumers and to compare consumer characteristics among shopper types and department store types. For this purpose an ethnographic approach which is a kind of qualitative analysis was performed first. And then The data were collected from 600 female consumers over twenties and residing in Pusan Finally 499 data were used for the statistical analysis. 1. The results of clothing shopping orientations study were as follows : As a result of qualitative analysis those who patronize department stores were recreational/convenience shoppers. From quantitative analysis clothing shopping orientations were factor analyzed. which resulted in eight factors ; Recreational Shopping Convenience Shopping. Sensibility Seeking Well-Known Brand Preference Fashion Seeking Economic Shopping Sel-confidence in clothing shopping Convenient store shopping. 2. The results of store choice criteria study were as follows: As a result of concentrative observation eight store choice criteria dimensions were categorized : Service Store Atmosphere Promotion/Facilities Product Convenience Advertisement VMD Traffic/Location Convenience. From quantitative analysis eight store choice criteria factors emerged; Service Store Atmosphere Promotion/Facilities Assortment Shopping Convenience Advertisement VMD Traffic/Location Convenience. 3. According to the factor scores of recreational shopping and Convenience shopping consumers were segmented into four shopper types ; High Shopping-involved Shopper Recreational Shopper Convenience Shopper and Low Shopping-involved Shopper. Department types were divided into a large enterprise department stores and local department stores. Consumer characteristics such as clothing shopping orientations store choice criteria purchase behavior variables and demographic variables were significantly different in shopper types and department store types were significantly different in clothing shopping orientations and tore choice criteria.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.12
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• pp.1440-1453
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• 2011

Proper consumer segmentation is receiving more attention from industry professionals as markets become more diverse and consumer-centered. Researchers have recognized the limitations of the traditional cluster analysis technique and this research study analyzes market segmentation using Mixture-model or latent-class segmentation. This study used a questionnaire to determine the characteristics of clothing shoppers using a new technique that proved its superiority over traditional techniques. Questions included items measuring fashion shopping behavior, store choice criteria, apparel consumption styles, price perception by product type, and demographic characteristics. Data were collected from 1074 males and females in their 20s and 30s through an online survey. SPSS 16.0 and Latent GOLD 4.0 were used to analyze the data. The ideal typology of clothing shoppers using the Mixture-model were: 'brand loyalty orientated group', 'group of conservative late 30s', 'group of pleasure-emotion early 20s', 'value oriented consumer product with high-income group', 'group of eco/symbol oriented consumer', and 'group of utility/goal oriented male consumer'. This study showed differences in fashion product purchasing behavior by conducting market segmentation for clothing shoppers using the Mixture-model.

• Journal of the Korean Home Economics Association
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• v.39 no.11
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• pp.107-128
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• 2001

The objectives of this study were to classify the consumer group based on the lifestyle traits of cortege women, to examine the demographic characteristics of each group, and to find out the differences of buying and using behavior of cosmetics among each group. The survey was conducted and 392 samples were analyzed by SPSS package program. The results of this study were as follows; 1. The lifestyle types were clasified 4 groups. They were named 'Progressive fashion pursuing type' 'Reality adaptable living-satisfaction type','Traditional frugal faithful type','Passive living-unconcern type'. 2. The demographic characteristics of each lifestyle group showed meaningful differences according to the following variables ; major, average monthly pocket money, religion, living standard, educational level and occupation of the head of a family. 3. The buying behavior of cosmetics(the degree of product involvement, information search behavior, product choice criteria, store choice criteria) showed meaningful differences among each lifestyle group. 4. The using behavior of cosmetics( the motive of make-up, the extent of make-up, average monthly cosmetics expenditure) showed meaningful differences among each lifestyle group.