• Journal of the Korean Home Economics Association
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• v.35 no.1
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• pp.373-388
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• 1997

This research was intended to understand the degree of variety in elderly women by was of classifying the type of clothing purchase's according to the degree of anxiety when they buy clothes. Samples were 285 elderly women who are aged over 55 dwelling in Busan Meropolitan city and this research is made available by the method of the questionnaire interview. The data was analyzed using reliability ANOVA regression Scheffe Test and correlation. The results of the study were the followings 1. The most important factors in the type of clothing purchase's of elder women are the styles disparity of age is represented similarly except the styles of a Brand Loyal tat ranked highest were among the age group 60-64. 2, The factor of difference in clothing purchase's according to degree of education are Brand loyal Cautious Impulsive Ecologists and Experimenters and the style of clothes buying according to activity of leisure are Brand Loyal and conformists. The factor of difference in clothing buying according to shopping companion are Planners Experiments Conformists Impulsive and Persuasible and the item represents difference according to payer for clothing marked all style of clothes buying and similarity except Impulsive and Style-Conscious, 3, The highly correlated item in the degree of education and activity of leisure in the context of the correlated item concerning about shopping companion and payer for clothes are Experimenters impulsive and Ecologists. The colthing anxiey which is highly related is the degree of education and the activity of leisure and the anxiety in masterial colour and self-harmony and the anxiety of colthing purchase's which is highly correlated in clothing purchase's companion and payer for clothin proved the priceand the anxiety of decision-making 4. Economy-Minded Experimenters Impulsive Planners and Style-Conscious represents all of the difference in all items in clothing purchase's Conformists represents anxiety to all items except the anxiety in clothing administration, Cautious and Ecologists represents the differences only for the anxiety in clothing administration,. But Brand-Loyal and Persuasible feels no anxiety in clothing purchase. 5. The most explicable independent variable based upon the analysis of regression in anxiety of colthing purchase is Economy-Minded and the next is Conformist Experiments Planners Style-Conscious Impulsive and so on.

• Journal of Fashion Business
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• v.4 no.4
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• pp.107-121
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• 2000

The purpose of this study is to offer basic data to adolescents' cosmetic culture by investigating and analysing the choices made by female students who have been becoming principle consumers of cosmetics these days. Firstly, social and cultural backgrounds and concepts of N generation, and then characteristics and influencing powers of female students were reviewed. And this study also included questionnaire surveys of 500 female students in middle and high schools located in Seoul. Data were processed using a SPSS$^+$ program and analyzed by using frequency, percentage and the $X^2$-test. The major findings run as follows: Female students have the effects of spreading their words quickly and abilities of making a decision what to buy. And they accept consuming behaviors itself as a part of cultural lives. Therefore, industries have acknowledged them as new principal consumers with a powerful influence in the market. They also play an important role in active consumer as emotional generation who has distinct personalities and prefer fashion trends, changes and innovations. They show conformities with their peer groups and they also want to identify themselves with characters or stars. The cosmetic behaviors of female students relating to demographic characteristics showed a significant relation to grades, majors, school groups and places of residence. Female students have a lot of interest and knowledge about cosmetics. And they use various cosmetic products. This study demonstrated the age for using make-up for the first time has been becoming younger more and more. Recently, female adolescents tend to use face powder, lip gloss, mascara and eye shadow. It is assumed that cosmetic purchases of female students can be considered as an impulsive aspects. However, before purchases, the proportion of students having any particular cosmetic brand in mind previously has been increasing. They take into consideration skin safety, the quality of product and color, when purchasing cosmetic products.

• Food Science and Preservation
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• v.15 no.4
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• pp.612-616
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• 2008

We studied new product presentation strategies for cheongyang Lycium chinense, and the attributes of consumers purchasing cheongyang; this is a popular herbal medicine. Attributes are characteristics or properties of a product, and generally refer to features regarded as evaluative criteria during decision-making. The key phrases found on data analysis were "free from disease" and "health". Makers or producers must conduct research and development to promote consumer demand for Lycium chinense, and they must overcome any consumer-held negative images of Lycium chinense attributes.

• Knowledge Management Research
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• v.23 no.1
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• pp.1-26
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• 2022

With the spread of social networks, platform-based social commerce has grown rapidly with the use of multiple smart devices. Given the rapid growth of social commerce sites such as Coupang and Ticket Monster, it is very important to understand the user's purchase decision-making process in a social commerce environment. The purpose of this study is to develop a richer understanding of the goals of users using social commerce. Second, a methodological alternative for analyzing the user's goals is introduced. In this study, laddering interview and means-end chain analysis were used. As a result of interview conducted on 40 users who have more than 6 months of purchasing experience using social commerce, a hierarchical goal map showing the user's goal structure was derived. This map contains 22 ultimate goals of social commerce, including warm relationships with others, fun and enjoyment of shopping, accomplishment, satisfaction, financial saving, and convenience. In addition, there are various paths from activities to ultimate goals, so investigating the goals pursued by users can give us insight into understanding user.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.347-364
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• 2022

Fraudulent companies or sellers strategically manipulate reviews to influence customers' purchase decisions; therefore, the reliability of reviews has become crucial for customer decision-making. Since customers increasingly rely on online reviews to search for more detailed information about products or services before purchasing, many researchers focus on detecting manipulated reviews. However, the main problem in detecting manipulated reviews is the difficulties with obtaining data with manipulated reviews to utilize machine learning techniques with sufficient data. Also, the number of manipulated reviews is insufficient compared with the number of non-manipulated reviews, so the class imbalance problem occurs. The class with fewer examples is under-represented and can hamper a model's accuracy, so machine learning methods suffer from the class imbalance problem and solving the class imbalance problem is important to build an accurate model for detecting manipulated reviews. Thus, we propose an OpenAI-based reviews generation model to solve the manipulated reviews imbalance problem, thereby enhancing the accuracy of manipulated reviews detection. In this research, we applied the novel autoregressive language model - GPT-3 to generate reviews based on manipulated reviews. Moreover, we found that applying GPT-3 model for oversampling manipulated reviews can recover a satisfactory portion of performance losses and shows better performance in classification (logit, decision tree, neural networks) than traditional oversampling models such as random oversampling and SMOTE.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.57-76
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• 2017

Recently, consumer needs are diversifying as information technologies are evolving rapidly. A lot of IT devices such as smart phones and tablet PCs are launching following the trend of information technology. While IT devices focused on the technical advance and improvement a few years ago, the situation is changed now. There is no difference in functional aspects, so companies are trying to differentiate IT devices in terms of appearance design. Consumers also consider design as being a more important factor in the decision-making of smart phones. Smart phones have become a fashion items, revealing consumers' own characteristics and personality. As the design and appearance of the smartphone become important things, it is necessary to examine consumer values from the design and appearance of IT devices. Furthermore, it is crucial to clarify the mechanisms of consumers' design evaluation and develop the design evaluation model based on the mechanism. Since the influence of design gets continuously strong, various and many studies related to design were carried out. These studies can classify three main streams. The first stream focuses on the role of design from the perspective of marketing and communication. The second one is the studies to find out an effective and appealing design from the perspective of industrial design. The last one is to examine the consumer values created by a product design, which means consumers' perception or feeling when they look and feel it. These numerous studies somewhat have dealt with consumer values, but they do not include product attributes, or do not cover the whole process and mechanism from product attributes to consumer values. In this study, we try to develop the holistic design evaluation model based on consumer values based on three-step approach from product attributes, perceived attributes, to consumer values. Product attributes means the real and physical characteristics each smart phone has. They consist of bezel, length, width, thickness, weight and curvature. Perceived attributes are derived from consumers' perception on product attributes. We consider perceived size of device, perceived size of display, perceived thickness, perceived weight, perceived bezel (top - bottom / left - right side), perceived curvature of edge, perceived curvature of back side, gap of each part, perceived gloss and perceived screen ratio. They are factorized into six clusters named as 'Size,' 'Slimness,' 'No-Frame,' 'Roundness,' 'Screen Ratio,' and 'Looseness.' We conducted qualitative research to find out consumer values, which are categorized into two: look and feel values. We identified the values named as 'Silhouette,' 'Neatness,' 'Attractiveness,' 'Polishing,' 'Innovativeness,' 'Professionalism,' 'Intellectualness,' 'Individuality,' and 'Distinctiveness' in terms of look values. Also, we identifies 'Stability,' 'Comfortableness,' 'Grip,' 'Solidity,' 'Non-fragility,' and 'Smoothness' in terms of feel values. They are factorized into five key values: 'Sleek Value,' 'Professional Value,' 'Unique Value,' 'Comfortable Value,' and 'Solid Value.' Finally, we developed the holistic design evaluation model by analyzing each relationship from product attributes, perceived attributes, to consumer values. This study has several theoretical and practical contributions. First, we found consumer values in terms of design evaluation and implicit chain relationship from the objective and physical characteristics to the subjective and mental evaluation. That is, the model explains the mechanism of design evaluation in consumer minds. Second, we suggest a general design evaluation process from product attributes, perceived attributes to consumer values. It is an adaptable methodology not only smart phone but also other IT products. Practically, this model can support the decision-making when companies initiative new product development. It can help product designers focus on their capacities with limited resources. Moreover, if its model combined with machine learning collecting consumers' purchasing data, most preferred values, sales data, etc., it will be able to evolve intelligent design decision support system.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.119-138
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• 2016

Since the Industrial Revolution, which made the mass production and mass distribution of standardized goods possible, machine-made (manufactured) products have accounted for the majority of the market. However, in recent years, the phenomenon of purchasing even more expensive handmade products has become a noticeable trend as consumers have started to acknowledge the value of handmade products, such as the craftsman's commitment, belief in their quality and scarcity, and the sense of self-esteem from having them,. Consumer interest in these handmade products has shown explosive growth and has been coupled with the recent development of three-dimensional (3D) printing technologies. Etsy.com is the world's largest online handmade platform. It is no different from any other online platform; it provides an online market where buyers and sellers virtually meet to share information and transact business. However, Etsy.com is different in that shops within this platform only deal with handmade products in a variety of categories, ranging from jewelry to toys. Since its establishment in 2005, despite being limited to handmade products, Etsy.com has enjoyed rapid growth in membership, transaction volume, and revenue. Most recently in April 2015, it raised funds through an initial public offering (IPO) of more than 1.8 billion USD, which demonstrates the huge potential of online handmade platforms. After the success of Etsy.com, various types of online handmade platforms such as Handmade at Amazon, ArtFire, DaWanda, and Craft is ART have emerged and are now competing with each other, at the same time, which has increased the size of the market. According to Deloitte's 2015 holiday survey on which types of gifts the respondents plan to buy during the holiday season, about 16% of U.S. consumers chose "homemade or craft items (e.g., Etsy purchase)," which was the same rate as those for the computer game and shoes categories. This indicates that consumer interests in online handmade platforms will continue to rise in the future. However, this high interest in the market for handmade products and their platforms has not yet led to academic research. Most extant studies have only focused on machine-made products and intelligent services for them. This indicates a lack of studies on handmade products and their intelligent services on virtual platforms. Therefore, this study used signaling theory and prior research on the effects of sellers' characteristics on their performance (e.g., total sales and price premiums) in the buyer-seller relationship to identify the key influencing e-Image factors (e.g., reputation, size, information sharing, and length of relationship). Then, their impacts on the performance of shops within the online handmade platform were empirically examined; the dataset was collected from Etsy.com through the application of web harvesting technology. The results from the structural equation modeling revealed that the reputation, size, and information sharing have significant effects on the total sales, while the reputation and length of relationship influence price premiums. This study extended the online platform research into online handmade platform research by identifying key influencing e-Image factors on within-platform shop's total sales and price premiums based on signaling theory and then performed a statistical investigation. These findings are expected to be a stepping stone for future studies on intelligent online handmade services as well as handmade products themselves. Furthermore, the findings of the study provide online handmade platform operators with practical guidelines on how to implement intelligent online handmade services. They should also help shop managers build their marketing strategies in a more specific and effective manner by suggesting key influencing e-Image factors. The results of this study should contribute to the vitalization of intelligent online handmade services by providing clues on how to maximize within-platform shops' total sales and price premiums.

• Asia Marketing Journal
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• v.12 no.4
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• pp.1-25
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• 2011

Brand names are often considered as a part of product and important extrinsic cues of product evaluation, when consumers make purchasing decisions. For a company, brand names are also important assets. Building a strong brand name in the Chinese commonwealth is a main challenge for many global companies. One of the first problem global company has to face is how to translate English brand name into Chinese brand name. It is very difficult decision because of cultural and linguistic differences. Western languages are based on an alphabet phonetic system, whereas Chinese are based on ideogram. Chinese speakers are more likely to recall stimuli presented as brand names in visual rather than spoken recall, whereas English speakers are more likely to recall the names in spoken rather than in visual recall. We interpret these findings in terms of the fact that mental representations of verbal information in Chinese are coded primarily in a visual manner, whereas verbal information in English is coded by primarily in a phonological manner. A key linguistic differences that would affect the decision to standardize or localize when transferring English brand name to Chinese brand name is the writing system. Prior Chinese brand naming research suggests that popular Chinese naming translations foreign companies adopt are phonetic, semantic, and phonosemantic translation. The phonetic translation refers to the speech sound that is produced, such as the pronunciation of the brand name. The semantic translation involves the actual meaning of and association made with the brand name. The phonosemantic translation preserves the sound of the brand name and brand meaning. Prior brand naming research has dealt with word-level analysis in examining English brand name that are desirable for improving memorability. We predict Chinese brand name suggestiveness with different translation methods lead to different levels of consumers' evaluations. This research investigates the structural linguistic characteristics of the Chinese language and its impact on the brand name evaluation. Otherwise purpose of this study is to examine the effect of brand concept on the evaluation of brand name. We also want to examine whether the evaluation is moderated by Chinese translation types. 178 Taiwanese participants were recruited for the research. The following findings are from the empirical analysis on the hypotheses established in this study. In the functional brand concept, participants in Chinese translation by semantic were likely to evaluate positively than Chinese translation by phonetic. On the contrary, in the symbolic brand concept condition, participants in Chinese translation by phonetic evaluated positively than by semantic. And then, we found Chinese translation by phonosemantic was most favorable evaluations regardless of brand concept. The implications of these findings are discussed for Chinese commonwealth marketers with respect to brand name strategies. The proposed model helps companies to effectively select brand name, making it highly applicable for academia and practitioner. name and brand meaning. Prior brand naming research has dealt with word-level analysis in examining English brand name that are desirable for improving memorability. We predict Chinese brand name suggestiveness with different translation methods lead to different levels of consumers' evaluations. This research investigates the structural linguistic characteristics of the Chinese language and its impact on the brand name evaluation. Otherwise purpose of this study is to examine the effect of brand concept on the evaluation of brand name. We also want to examine whether the evaluation is moderated by Chinese translation types. 178 Taiwanese participants were recruited for the research. The following findings are from the empirical analysis on the hypotheses established in this study. In the functional brand concept, participants in Chinese translation by semantic were likely to evaluate positively than Chinese translation by phonetic. On the contrary, in the symbolic brand concept condition, participants in Chinese translation by phonetic evaluated positively than by semantic. And then, we found Chinese translation by phonosemantic was most favorable evaluations regardless of brand concept. The implications of these findings are discussed for Chinese commonwealth marketers with respect to brand name strategies. The proposed model helps companies to effectively select brand name, making it highly applicable for academia and practitioner.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.83-92
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• 2020

Establishing a financial independence is essential for sustainable growth of social enterprises. In this vein, this study investigated the key factors that affect customer loyalty about the products or services provided by social enterprises. Commitment and trust in social enterprises were considered as main factors affecting customer loyalty. We also examined the effects of functional, hedonic and social value about the products or services of social enterprises on purchasing decision-making processes. The research model analysis was conducted on 204 consumers using social enterprises in Dong-gu, Daegu. The analysis of research model has shown that commitment and trust had a significant impact on customer loyalty about the product or service of those enterprises. Functional value did not have a significant effect on commitment, while it had a significant effect on trust. Hedonic value had a significant impact on both commitment and trust. Social value had a significant effect on commitment, but not on trust. Value congruence had a significant effect on both commitment and trust. Based on the our findings, it is expected that it would help establish operational and marketing strategies to improve competitiveness in products and services of social enterprises.

• Asia Marketing Journal
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• v.15 no.4
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• pp.51-60
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• 2014

Previous research on loyalty program has verified the factors that influence redemption behavior and the understanding of the mechanism of redemption behavior with academic and practical implications. However, these research has not proven boundary conditions in which the phenomena can be strengthened or weakened- that is, the moderating effect remains unclear. The inclusion of moderating variables can provide a more extensive understanding of the mechanism of this behavior from academic and managerial perspectives alike. Therefore, this current research proposes regulatory focus as a moderating variable, which has received scarce attention in the study of loyalty program behavior, especially individual characteristic variables that, in turn, affect the consumers' purchasing behavior in various ways. Previous research on consumer decision making investigates the differential role of regulatory focus as a series of stages. Regulatory focus theory posits that people depend on the two types of regulatory focus when pursuing goals: promotion focus vs. prevention focus. The former induces tendencies to recognize a goal as a hope and ideal, as something that satisfies the need for accomplishment, and to be sensitive to the presence of a positive outcome of the match and to match the pursuit of goals. On the other hand, the latter tends to regard a goal as the responsibility or obligation to achieve the goal, has a tendency to avoid failure to meet a target, and is sensitive to the presence of the negative consequences that do not reach the target. The following propositions are suggested: 1) The effect of higher accumulation effort level on delaying point redemption speed will be relatively more pronounced for customers with prevention focus. 2) The effect of higher accumulation effort level on large redemption unit size will be relatively more pronounced for customers with prevention focus. 3) The effect of higher accumulation effort level on hedonic redemption ratio will be relatively more pronounced for customers with promotion focus. Therefore, this research provides a moderating variable that has the potential to be used as a reference for market segmentation and affects the relationship between point accumulation effort and three sides of point redemption behavior. On this basis, the direction for the future research on this issue is recommended. Future research could verify these propositions conducting a survey of customers' propensity of regulatory focus in conjunction with the history of the loyalty program of data. This would provide a more realistic effect on the usage behavior of loyalty program consumers by providing useful implications for both marketing practitioners and researchers.