As the online industry is vitalized by the fashion market, there is a tendency to believe that the recruitment of manpower in the online distribution field is increasing. Thus, this study attempts to analyze the job types and job functions for recruitment in the fashion industry based on job search sites and based on this, suggest an educational direction within the department of fashion design. First, when examining the size (number of employees) of fashion companies that posted jobs, the fashion companies with 30 or fewer employees accounted for 60.7% of the postings, and the location of the fashion companies was most commonly in Seoul with 144 companies located in Gangnam (Seocho-gu, Gangnam-gu). As for the recruitment conditions of the fashion companies, "academic level-irrelevant" was the highest with 42.6%, and in terms of gender and age, 59.3% of the cases were marked as "gender and/or age-irrelevant". Examining the types of jobs for recruitment in the fashion industry, fashion designers were the most popular at 52.6%, followed by on and off-line companies' MD, VMD, and stylist in that order. In the results of examining job function change, it is thought that the fashion design department should have basic educationon in that respect.
The aim of this study is to investigate the operating characteristics of fashion start-up companies and the characteristics of their founders. For this purpose, this study surveyed fashion start-up companies via online survey in May 2015, and analyzed the data from one hundred companies. The results are as follows. First, for the characteristics of the founders, female founders constituted 65.0% and male founders 35.0%. At the time of establishment, founders aged 26-35 constituted 77.0%. Founders with less than five years of work experience made up about 80%. 82.1% of the founders participated in domestic and foreign exhibitions/fairs. 41.0% of the founders were awarded fashion contest and competition awards, and 33.3% of the founders were supported by rising designer support projects. Second, for the operating characteristics of the start-up companies, clothing at 78.0% was the most popular entrepreneurial item, and the majority targeted the age 20-30 group. 78.0% of the companies had less than 40 production styles per season, and all the enterprises had less than 5 employees. 59.0% of the companies had export experience. Exports to China, Hong Kong, and Japan accounted for 67.4% of all exports. Major distribution channels were mainly select shops(offline select shops 79.8%, online select shops 62.8%). The main methods of promotion were fashion media articles/interviews, product sponsorship, and SNS. The most preferred distribution channel was becoming a part of online/offline select shops(92.6%). Viral marketing(84.4%), star marketing and costume sponsorship(66.7%) were the most preferred method of promotion. The most preferred way to enter foreign markets was to participate in domestic and foreign exhibitions/fairs/trade shows. This study provides basic data necessary for future founders preparing to launch fashion start-up companies. It also aids fashion start-up companies in developing more advanced business operation strategies.
The purpose of this research was to evaluate the possibility of sustainable development of online advertisements conducted by fashion companies. Factors composed of sustainable development indexes of online advertisement that had been developed in previous studies were identified, and then the relevance between purchase intention and advertisement experience was evaluated. An online survey of 573 persons in the 20 to 40 age range who own mobile phone and have experienced online advertisements of a fashion brand or a fashion company was conducted. The data collected from the survey and the results are as follows. First, the validity and reliability from confirmatory factor analysis of six factors (namely, personal information protection, web use infringement, advertisement expression harmfulness, advertisement expression objectivity, emotional responsibility, and environment-friendly) and 21 questions was confirmed. Second, it confirmed that consumers gave low points to the evaluation of sustainable development indexes of online advertisement of fashion companies. In particular, that consumers gave low points with regard to both environmental friendliness and web use infringement. Third, it was identified that personal indexes such as personal information protection, web use infringement, and indexes relating to advertisement expressions do not directly influence the consumer's purchase intention. However, social indexes like emotional responsibility and environmental friendliness do have an influence on the consumer's positive action intention.
Online supporters are the group of people selected by companies for the online promotion of their products or services and focus on generating messages that are conducive to stimulating hands-on experiences with companies' products and services to create advertising effects. This study examined how reviews offered by blogs operated by fashion brands' online supporters influence consumer's brand attitudes and purchase intentions. Specifically, this study examined how brand awareness and directions of review messages influences consumers' brand attitudes and purchase intentions. This study employed a 2 (brand awareness: high awareness vs. low awareness) ${\times}$ 3 (review direction: one-sided positive, two-sided positive & negative, one-sided negative) between-subject factorial design. In total, 180 respondents participated, thus garnering 30 responses for each of the six conditions. The results of two-way ANOVA revealed the significant main effect supporters' review message direction on consumers' brand attitudes and purchase intentions. Two-sided messages were rated high for brand attitude and purchase intention compared to one-sided positive or negative or positive directions. The interactions between brand reputation and message direction were significant for brand attitude, but not for purchase intention.
As online fashion businesses achieve rapid growth in the last few years, they gather various kinds of customer information through customer registration procedures and expect to utilize this information for CRM programs. The purpose of this study were to understand the current practices of customer information management of online fashion companies and to discuss how to improve it for the benefit of both customers and fashion businesses. This study included three steps of empirical data collection process: First, online fashion companies were visited and content analyzed at three time periods-2002, 2003, and 2004. Second, a questionnaire was developed and surveyed with 488 customers. And third, interviews with two groups were conducted, one with customers who experienced customer registration with online fashion companies and the other with experts of web developing. Through customer registration procedures, personal and contact information such as name, citizen registration number(social security number), home address, home telephone number, and cellular phone number were most frequently required. Customers were asked to provide more specific information regarding their privacy, online behavior, and taste recently. The variety of information category in 2004 observation was larger than 2002, but the amount of required information from each company got smaller. Customers tended to provide some false infor- mation, and the most frequently cited reason for that was 'too much hassle' and 'no practical benefit from information provision'. Customers were concerned with the exposure of personal information such as citizen registration number. The ideal number of pieces of information required was identified as 3 to 5 including name, phone number, and address. The paper was concluded with the discussion of customer information management from CRM perspective, CRM program, information analysis methods, and security.
This study analyzed consumers' online fashion shopping site usage by site type and analyzed how product information search and product purchase differ. In addition, by comparing and analyzing preference and selection factors of PC and mobile shopping, we tried to provide basic data of effective mobile commerce operation strategy according to expansion of mobile market in fashion industry. We surveyed the use of 6 types of online sites (portal site, open market, general shopping mall, social commerce shopping mall, brand shopping mall and non-brand shopping mall) to understand the usage of mobile shopping site for consumers' fashion products. Consumer survey subjects were 373 college students in their early 20s who had the most mobile shopping experiences. The questionnaire consisted of online fashion site usage items, internet and mobile fashion shopping preference (6 items), internet and mobile shopping choice behavior (10 items), and purchase intention (3 items) .Data were analyzed using SPSS 14.0 program. The high preference of portal sites, open market, social commerce, and non-brand shopping malls in shopping online fashion products is a result of the perceptual changes of major distribution channels and the trends of consumers' value consumption tendency. Therefore, it is necessary for fashion companies to actively cope with fashion product distribution competition with huge shopping sites of current online market by well understanding consumers' preference trends and factors of online sites.
Until now, research on consumers' purchasing behavior has primarily focused on psychological aspects or depended on consumer surveys. However, there may be a gap between consumers' self-reported perceptions and their observable actions. In response, this study aimed to investigate consumer purchasing behavior utilizing a big data approach. To this end, this study investigated the purchasing patterns of fashion items, both online and in retail stores, from a data-driven perspective. We also investigated whether individual consumers switched between online websites and retail establishments for making purchases. Data on 516,474 purchases were obtained from fashion companies. We used association rule analysis and K-means clustering to identify purchase patterns that were influenced by customer loyalty. Furthermore, sequential pattern analysis was applied to investigate the usage patterns of online and offline channels by consumers. The results showed that high-loyalty consumers mainly purchased infrequently bought items in the brand line, as well as high-priced items, and that these purchase patterns were similar both online and in stores. In contrast, the low-loyalty group showed different purchasing behaviors for online versus in-store purchases. In physical environments, the low-loyalty consumers tended to purchase less popular or more expensive items from the brand line, whereas in online environments, their purchases centered around items with relatively high sales volumes. Finally, we found that both high and low loyalty groups exclusively used a single preferred channel, either online or in-store. The findings help companies better understand consumer purchase patterns and build future marketing strategies around items with high brand centrality.
To grasp the size system of children's clothing online shopping malls, basic size charts for clothing products from 14 shopping malls were collected, compared, and analyzed. Looking at the age range of the basic size chart for each company, the minimum age is 1 year old, the maximum age is 14-15 years old, and all companies included ages up to 7 years. In addition, as for the number of size designations, children's clothing companies used seven to eight designations, and there were six types of size designation methods. Next, looking at the height range for each size, even with the same size designation method, the height range differed depending on the company. Also, the KS size standard does not consider body weight, but many companies use weight as a reference body size. Compared with the child body size data of the 6th Korean Body Size Data, the height and weight range for each size provided by the company showed differences between companies. The results of this study can be used in the future as basic data when revising and supplementing the clothing sizes in children's clothing companies.
This study investigated the classification and characteristics of augmented reality (AR) content of fashion brands. The AR contents of fashion brands were classified according to user participation space and content delivery method. Based on these types, eight case studies were conducted, along with a discussion of AR characteristics in terms of presence, interactivity, and immersion. The results showed that AR content could be divided into four types: offline visit-external information type, offline visit-internal experience type, online utilization-external information type, and online utilization-internal experience type. It was also found that there were differences in characteristics for each type of AR content. First, the offline visit-external information type requires various new content that can provide entertainment immersion to users. Second, the offline visit-internal experience type requires a powerful inducement for users to visit a specific space providing AR content and to participate in augmented environments. Third, the online utilization-external information type needs a series of AR content that can consistently incite users' curiosity about brands and products. Fourth, the online utilization-internal experience type needs effective content to improve users' shopping experience with the virtual fitting of fashion accessories, such as eyewear, hats, jewelry, and watches. Accordingly, fashion companies should create contents that can provide appropriate presence, interactivity, and immersion by AR type.
This study analyzed the current operational status, business continuity, and business continuity strategies of 11 Soho fashion shopping malls through a longitudinal case study (2019/2020 and 2022/2023). The aim was to determine how Soho fashion shopping malls are continuing their business having been successfully established in the fiercely competitive current online fashion market. Regarding changes in shopping mall operation status, all cases displayed changes in items, distribution channels, marketing channels, core values, and profit structures. After establishing the businesses, a crisis arose due to the COVID-19 pandemic, leading to difficulties in creating new customers. Moreover, there was excessive business expansion, resulting in saturation of the online platform store market. This meant companies were experiencing reduced sales (5) or difficulties in maintaining their business (3). However, there were differences in the direction of overcoming the crisis and continuing or converting the business. These revealed that to continue the business after successful establishment of an online fashion shopping mall, it is essential to have the expertise of entrepreneurs, work performance, and marketing ability, as well as differentiation capabilities such as product power and management strategy and core competitiveness that provides a relative advantage over other shopping malls. Customized government support at the level of the start-up ecosystem is also essential for the survival and business continuity of a SOHO online fashion shopping mall with poor human and material resources.
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