• Fashion & Textile Research Journal
• /
• v.17 no.3
• /
• pp.372-381
• /
• 2015

This study investigates differences in fashion products attributes, mobile shopping mall attributes, impulse buying behavior, and satisfaction according to mobile shoppingconsumption value. The findings provide new information on marketing strategy for mobile shopping malls. A total of 283 usable questionnaires were obtained from college students. Data were analyzed by frequency analysis, factor analysis, and ANOVA using SPSS 21.0 for Windows. The results were as follows. First, according to the consumption value, consumer were classified into 3 groups: social/functional oriented, indifference and epistemic/emotional oriented. Second, the conspicuous-functional pursuit group considered utility and exhibition more important in regards to fashion products attributes for the consumption value group, the personality pursuit group also considered aesthetics and utility more important than other groups. Third, conspicuous-functional pursuit group considered continuous management more importantin regards to the importance ofmobile shopping mall attributes for the consumption value group, the personality pursuit group considered informationexchange more important than the other groups. Fourth, the conspicuous-functional pursuit group and Personality pursuit group considered impulse purchase behavior more important than the emotionalpursuit group. The conspicuous-functional pursuit group considered satisfaction after impulse purchase behavior more important than other groups.

• Journal of Families and Better Life
• /
• v.30 no.3
• /
• pp.105-118
• /
• 2012

This study aims to recognize cognition of credit card and shopping value in contemporary society, cognition of credit card and shopping value according to types of consumption orientation, and factors that influence cognition of credit card and shopping value, and ultimately provide a foundation for establishing proper shopping value. A total of 453 women and men residing in Seoul have been set as research object in order to achieve the purpose of the study. The data was analyzed by Cronbach' alpha, frequencies, percentile, mean, factor analysis, K-mean cluster analysis, t-test, ANOVA and Duncan's multiple range test, multiple linear regression. All analysis progress was done by spsswin12.0 statistics program. A summary of this research goes as follows: First, categorization of consumption orientation lead to two clusters of rational and symbolic & conspicuity consumption patterns and cognition of credit card was categorized into positive and negative cognition and shopping value was categorized into hedonic shopping value, utilitarian shopping value and time-save shopping value. Second, rational shoppers had high utilitarian shopping values and symbolic & conspicuity shoppers had high both hedonic shopping values and utilitarian shopping values. Third, the most influential factor in hedonic shopping value and utilitarian was consumption orientation. In conclusion, this research has showed that cognition of credit card and shopping value according to types of consumption orientation patterns varied, and that consumption orientation was an influential factor on cognition of credit card and shopping value.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.23 no.3
• /
• pp.459-470
• /
• 1999

The objectives of this study were to investigate the difference the clothing shopping orientation and clothing satisfaction according to satisfaction·dissatisfaction group to examine how the clothing satisfaction was influenced by consumer values demographic variable clothing shopping orientation. The subject were 457 women in Seoul Korea The results of the study were as follows. 1. five factors of clothing shopping orientation (SO) derived by factor analysis : F.1. conspicious SO : F,2 search SO: F,3 recreational SO : F,4 addictive SO :F,5 independent SO . Two factors of terminal value derived by factor analysis : F,1 responsible : F.2 ambitious. 2. Satisfaction group had high levels of search SO, dissatisfaction group had high levels of addictive SO. Satisfaction group was satisfied with color style appropriateness for wearer in order dissatisfaction group was dissatisfied with care price size in order. 3. Conspicious SO were influenced bysocial stratification social recognition and happiness. Search SO were influenced by dwelling area and age. Recreational SO were influenced by social stratification social recognition and responsible value. Addictive SO influenced by responsible value social recognition and happiness. independent SO were influenced by marital status and ambitious value. 4. Clothing satisfaction was influenced by addictive conspicious SO happiness and recreational SO(R2=24.6)

• Journal of the Korean Home Economics Association
• /
• v.48 no.1
• /
• pp.27-40
• /
• 2010

The objectives of this study were to investigate differences in shopping style and consumption value of apparel product type, and to establish the effects of consumption value on shopping style. A questionnaire was used to collect data from 263 women aged between 20 to 49 in Gwangju on their shopping style and consumption value according to formal and casual product type. Collected data were subjected to frequency analysis, factor analysis, ANOVA, t-test and multiple regression analysis using statistical program SPSS(version 17.0). Results showed that shopping style could be influenced by six factors: fashion-recreational, quality-brand, impulsive, confused, brand-loyal, and price conscious consumer. Clothing consumption value was influenced by five factors: emotional, functional, epistemic, social, and situational value. Shopping style and clothing consumption value were significantly different between a formal product purchaser and a casual product purchaser. Consumption value had a significant influence on shopping style of the formal product purchaser and also the casual product purchaser.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.33 no.9
• /
• pp.1452-1462
• /
• 2009

This research investigates the factors influencing price sensitivity in fashion products. This study incorporates three essential variables, which were likely to influence price sensitivity: the subjective shopping value of consumers, objective purpose of use, and social situation according to the shopping companions of consumers. A sample of young adult consumers (who had purchase experience of fashion products during the last six-months) was surveyed using a self-administered questionnaire. A 3-way ANOVA was used to evaluate the data. The results show that the utilitarian shopping value of consumers was more sensitive in price than the hedonic shopping value and a self-using purchase was more sensitive in price than a gift-giving purchase. In addition, a correlation effect was significant between the purpose of use and social situation. In addition, the correlation effect among all of the three variables was also significant.

• Journal of Fashion Business
• /
• v.26 no.3
• /
• pp.1-18
• /
• 2022

The COVID-19 pandemic has not only increased customer preference for contactless methods but also created digital business opportunities in a variety of industries. Particularly in the fashion industry, contactless distribution and contactless shopping have increased significantly. This study identifies the changed consumers' perception of contactless shopping, which has been expanded due to the COVID-19 pandemic and analyzes specific factors that influence shopping switching intention to derive efficient marketing plans for post COVID-19 era. The study targeted Korean male and female consumers. The perceived value, usefulness, and alternative attractiveness of contactless shopping had a significant effect on shopping switching intention, and a moderating effect of offline fashion stores was confirmed. These results indicate that customers' experience in a fashion store influences their next online and offline shoping. This study, therefore, proposed the direction that the fashion industry should advance from a marketing perspective in the post COVID-19 era.

• Journal of Intelligence and Information Systems
• /
• v.20 no.2
• /
• pp.123-136
• /
• 2014

Recently, online shopping has further developed as the use of the Internet and a variety of smart mobile devices becomes more prevalent. The increase in the scale of such shopping has led to the creation of many Internet shopping malls. Consequently, there is a tendency for increasingly fierce competition among online retailers, and as a result, many Internet shopping malls are making significant attempts to attract online users to their sites. One such attempt is keyword marketing, whereby a retail site pays a fee to expose its link to potential customers when they insert a specific keyword on an Internet portal site. The price related to each keyword is generally estimated by the keyword's frequency of appearance. However, it is widely accepted that the price of keywords cannot be based solely on their frequency because many keywords may appear frequently but have little relationship to shopping. This implies that it is unreasonable for an online shopping mall to spend a great deal on some keywords simply because people frequently use them. Therefore, from the perspective of shopping malls, a specialized process is required to extract meaningful keywords. Further, the demand for automating this extraction process is increasing because of the drive to improve online sales performance. In this study, we propose a methodology that can automatically extract only shopping-related keywords from the entire set of search keywords used on portal sites. We define a shopping-related keyword as a keyword that is used directly before shopping behaviors. In other words, only search keywords that direct the search results page to shopping-related pages are extracted from among the entire set of search keywords. A comparison is then made between the extracted keywords' rankings and the rankings of the entire set of search keywords. Two types of data are used in our study's experiment: web browsing history from July 1, 2012 to June 30, 2013, and site information. The experimental dataset was from a web site ranking site, and the biggest portal site in Korea. The original sample dataset contains 150 million transaction logs. First, portal sites are selected, and search keywords in those sites are extracted. Search keywords can be easily extracted by simple parsing. The extracted keywords are ranked according to their frequency. The experiment uses approximately 3.9 million search results from Korea's largest search portal site. As a result, a total of 344,822 search keywords were extracted. Next, by using web browsing history and site information, the shopping-related keywords were taken from the entire set of search keywords. As a result, we obtained 4,709 shopping-related keywords. For performance evaluation, we compared the hit ratios of all the search keywords with the shopping-related keywords. To achieve this, we extracted 80,298 search keywords from several Internet shopping malls and then chose the top 1,000 keywords as a set of true shopping keywords. We measured precision, recall, and F-scores of the entire amount of keywords and the shopping-related keywords. The F-Score was formulated by calculating the harmonic mean of precision and recall. The precision, recall, and F-score of shopping-related keywords derived by the proposed methodology were revealed to be higher than those of the entire number of keywords. This study proposes a scheme that is able to obtain shopping-related keywords in a relatively simple manner. We could easily extract shopping-related keywords simply by examining transactions whose next visit is a shopping mall. The resultant shopping-related keyword set is expected to be a useful asset for many shopping malls that participate in keyword marketing. Moreover, the proposed methodology can be easily applied to the construction of special area-related keywords as well as shopping-related ones.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.11 no.1
• /
• pp.63-75
• /
• 2009

This study aims to find out the dimension of consumers' shopping values in internet clothing purchase, and the relation of their relational quality with shopping malls and their shopping behavior depending on the type of their shopping values. For this purpose, this study surveyed 343 male and female consumers in their 20s or 30s for empirical analysis who have ever purchased clothing through internet shopping malls. Respondents are selected using the convenience sampling through internet survey in July 2008. For statistical analysis, descriptive statistics, factor analysis, ANOVA analysis, Duncan test, and $X^2$-test are carried out using SPSS for Windows 12.0. The results are as follows. First, consumers' shopping value dimensions in internet shopping for clothes are found 4 factors of fun, economic utility, information, and shopping convenience. Second, based on shopping value dimensions, consumers are categorized into an practicality-seeking, an economic utility/fun-seeking, a fun-seeking, and an information/fun-seeking group. Third, there are significant differences in relational quality, customer loyalty, favorable word of mouth, and repurchase intention depending on shopping value-based consumer types. In particular, the economic utility/fun-seeking and information/fun-seeking group have higher values on relational quality and shopping behavior variables than other groups. Thus internet shopping mall businesses need to recognize these group of consumers as their core customers and develop programs to maintain a long-term relationship with them.

• Journal of Global Scholars of Marketing Science
• /
• v.17 no.1
• /
• pp.101-122
• /
• 2007

Recently, as internet shopping mall users rapidly, a form of shopping changed from off line to on line. The rapid growth of customers and transaction volume through evolution of new media, internet, brings new problems to internet marketers. It is the most important task that how internet shopping mall operators obtain their customers trust and repeat buying. This empirical research investigates online shoppers for their trust dimensions for online retailers. The study aimed to determine whether e-trust antecedents(perceived reputation, perceived quality, perceived value) influence trust dimension and whether the multidimensional trust contributed differently to perceived risk and willingness to depend on e-retailers. Consequences of the research are as follows: First, it reveals that of reputation, web site quality of the internet shopping mall have influence upon trust dimension. Second, the higher level of trust consumers have, the higher level of willingness to depend and intent to revisit on the retailers they have. But level of perceive risk consumers have not influences on willingness to depend on the retailers. It is necessary for internet shopping mall to development its reputation and familiarity to obtain customer's trust. Accordingly, this research will be helping internet shopping mall insight for marketing strategies, constantly should study about action and mind of consumer.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.2 no.2
• /
• pp.49-68
• /
• 2007

This paper develop self pre-checkup lists for the validity of business model as web business starters can utilize to open business. In particular, self pre-checkup lists invented by Dr. Bruce Merrifield, is reapplied and modified in appropriate to internet shopping mall business. This paper complete many literature reviews to identify appropriate factors of evaluation such as about the characters of internet business, business validity testing theory for internet business model, pros and cons of e-business and startup ventures, factor analysis of technology valuation, and pros and cons for internet shopping mall. This paper define six different factors; scale of sales, the growth rate of market, competitiveness, risk portfolio, industry upside down, and social conditions, as the factors of evaluating the business attractiveness. Meanwhile, it define characters of CEO, content's power, mutual inclusion, commerce, fulfillment, marketing power as the factors of business appropriateness. This paper also conducts several case studies; company I, D, G of applying the former model. This paper sort out internet business model in imaginations by utilizing self pre-checkup lists of business evaluation. Also, the outcomes of evaluation is expected to provide meaningful future business implications.