• Title/Summary/Keyword: Brand Marketing

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An Exploratory Study on Experience of Luxury Brand Virtual Fashion Show (럭셔리 패션 브랜드 가상패션쇼 경험에 대한 탐색적 연구)

  • Hyojo Jung;Eunju Ko
    • Journal of Fashion Business
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    • v.27 no.2
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    • pp.70-87
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    • 2023
  • Today, VR, AR, and MR technologies that travel between real world and virtual world are rapidly developing. These technologies are adopted in luxury fashion brands for virtual fashion shows and runways, virtual retail shops and virtual fitting services. Despite its growth potential and social importance, virtual fashion space has been studies insufficiently. Therefore, this study aimed to examine the consumer experience on the virtual fashion space types, components of virtual fashion space, perceived value, and continuous usage intention. Prada, one of the most active luxury fashion brands in the VR field, was selected as the stimulus for an in-depth interview. Participants experienced virtual fashion show space through VR device (Oculus Quest 2 from Meta) before responding to the questions about their experience. Results showed that material space was more like virtual whereas perceptual space felt like reality. Participants could imagine about more virtual image from material space and more real image from perceptual space elements. Moreover, perceptual space enhanced the immersion, presence, and interactivity compared to material space. Most participants perceived that the virtual fashion show was useful and playful, leading to the continuous usage intention. It implies that improvements for some technical limitation from VR device and virtual contents can provide quality consumer experience in the future. Based on results of this study, fashion companies can establish useful marketing strategies for consumers' immersive and playful experiences when introducing virtual fashion space.

How Korean Retailers Expand Private Label Markets Abroad: Evidence from the Chinese Fresh Food Market

  • Jing-Jing Yang;Tae-Won Kang
    • Journal of Korea Trade
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    • v.26 no.5
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    • pp.106-124
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    • 2022
  • Purpose - The increasing share of Korean private label products (PLPs) in the domestic market helped generate lucrative revenue. In recent years, major South Korean retailers have begun to cast their sights on overseas markets and actively export their PLPs. In China, the proportion of private label fresh food (PLFF) is gradually expanding amid the development of the new retailing model. A profound understanding of the relationship between private label fresh produce and purchase intention may be the answer to helping Chinese retailer private labels expand supply chains in Korea. This study, taking Chinese retailers as an example, examines the impacts of selection factors of private label fresh food and perceived value on purchase intention. Apart from that, the relationship between the selection factors and purchase intention will be analyzed with perceived value as a mediator. Design/methodology - This work aims to empirically analyze the purchase intention of private label fresh food using statistical analysis. In this study, a hypothetical causal model consisting of 6 latent variables and 24 measured variables is developed based on the literature review. To validate the research hypotheses and the research model, SPSS23.0/AMOS23.0 is used to analyze factors such as validity and reliability, as well as structural equation modeling. Findings - The hypothetical model established in this study is of general applicability. In respect to PLFF, perceived value, while significantly influencing purchase intention in combination with four selection factors (perceived quality, perceived price, brand trust, and store image), mediates partially between the first three factors and purchase intention, which rules out the impact and mediating effect of store image on purchase intention. Originality/value - These research results, as helpful insights into the present circumstances of Chinese PLFF in the domestic market, provide useful information and guidance for Korean retailers and service providers to innovate production and service, as well as develop marketing and promotion strategies, so that they can shift private label goods with advantages from domestic demand to export, thus increasing overseas profitability. Further, this work will also contribute to relevant research.

An analysis on Disney's animation Through Transbranding theory (트랜스브랜딩 이론을 통한 디즈니 애니메이션 <겨울왕국> 분석)

  • Lee, Min Kyung;Kim, Jai Beom
    • Design Convergence Study
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    • v.14 no.3
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    • pp.61-72
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    • 2015
  • This research attempts to provide greater understandings about 'Transbranding' theory by an analysis of , a 3D animation produced by Disney Studio released in 2013 partly in comparison with . Furthermore, this research shows the branding strategy of "Disney", reputed for its well-devised marketing strategy, in the era of Transmedia. This research analyzes the animation with four components of 「Transmedia Mix strategy」 and the 「2F(Flexible Fit) strategy」. In the 「2F(Flexible Fit) strategy」 analysis, is compared with another Disney-made animation . not just maintains the core values of Disney animations but also implements diverse strategies for developing the evolving interactions, the collaborative creation, and the multi-experience. has achieved successful branding identity/image by securing the strategic flexibility by differentiating itself from the existing Disney animations. Disney also establishes itself as a new and modern brand through 2F strategies.

Market Segmentation Based on Types of Motivations to Visit Coffee Shops (커피전문점 방문동기유형에 따른 시장세분화)

  • Lee, Yong-Sook;Kim, Eun-Jung;Park, Heung-Jin
    • The Korean Journal of Franchise Management
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    • v.7 no.1
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    • pp.21-29
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    • 2016
  • Purpose - The primary purpose of this study is to employ effective marketing methods using market segmentation of coffee shops by determining how motivations to visit coffee shops have different impacts on demographic profile of visitors and characteristics of coffee shop visits, so as to draw out a better understanding of customers of coffee market. Research design, data, and methodology - Data were collected using surveys of self-administered questionnaires toward coffee shop users in Daejeon, Korea. A number of samples used in data analysis were 253 excluding unusable responses. The data were analyzed through frequency, reliability, and factor analysis using SPSS 20.0. Factor analysis was conducted through the principal component analysis and varimax rotation method to derive factors of one or more eigen values. In addition, the cluster analysis, multivariate ANOVA, and cross-tab analysis were used for the market segmentation based on the types of motivation for coffee shop visits. The process of the cluster analysis is as follows. Four clusters were derived through hierarchical clustering, and k-means cluster analysis was then carried out using mean value of the four clusters as the initial seed value. Result - The factor analysis delineated four dimensions of motivation to visit coffee shops: ostentation motivation, hedonic motivation, esthetic motivation, utility motivation. The cluster analysis yielded four clusters: utility and esthetic seekers, hedonic seekers, utility seekers, ostentation seekers. In order to further specify the profile of four clusters, each cluster was cross tabulated with socio-demographics and characteristics of coffee shop visits. Four clusters are significantly different from each other by four types of motivations for coffee shop visits. Conclusions - This study has empirically examined the difference in demographic profile of visitors and characteristics of coffee shop visits by motivation to visit coffee shops. There are significant differences according to age, education background, marital status, occupation and monthly income. In addition, coffee shops use pattern characterization in frequency of visits to coffee shops, relationships with companion, purpose of visit, information sources, brand type, average expense per visit, important elements of selection attribute were significantly different depending on motivations for coffee shop visits.

Analysis of outdoor-wear research trends using topic modeling (토픽 모델링을 이용한 아웃도어웨어 연구 동향 분석)

  • Kihyang Han;Minsun Lee
    • The Research Journal of the Costume Culture
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    • v.31 no.1
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    • pp.53-69
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    • 2023
  • This study aims to analyze research trends regarding outdoor wear. For this purpose, the data-collection period was limited to January 2002-October 2022, and the collection consisted of titles of papers, academic names, abstracts, and publication years from the Research Information Sharing Service (RISS). Frequency analysis was conducted on 227 papers in total to check academic journals and annual trends, and LDA topic-modeling analysis was conducted using 20,964 tokens. Data pre-processing was performed prior to topic-modeling analysis; after that, topic-modeling analysis, core topic derivation, and visualization were performed using a Python algorithm. A total of eight topics were obtained from the comprehensive analysis: experiential marketing and lifestyle, property and evaluation of outdoor wear, design and patterns of outdoor wear, outdoor-wear purchase behavior, color, designs and materials of outdoor wear, promotional strategies for outdoor wear, purchase intention and satisfaction depending on the brand image of outdoor wear, differences in outdoor wear preferences by consumer group. The results of topic-modeling analysis revealed that the topic, which includes a study on the design and material of outdoor wear and the pattern of jackets related to the overall shape, was the highest at 30.9% of the total topics. The next highest topic was also the design and color of outdoor wear, indicating that design-related research was the main research topic in outdoor wear research. It is hoped that analyzing outdoor wear research will help comprehend the research conducted thus far and reveal future directions.

An Investigation on the Impact of Psychological Factor on the Adoption of Mobile Device: Based on the Preferences of iPhone in China (모바일 기기 수용에 대한 심리적 요인에 대한 고찰: 중국 내 아이폰 선호를 중심으로)

  • Seonyoung Shim
    • Information Systems Review
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    • v.18 no.3
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    • pp.31-50
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    • 2016
  • This study investigates the impact of social-face sensitivity of smartphones on the adoption of iPhone in China. Social-face sensitivity is divided into three dimensions, namely, other-directed sensitivity, self-directed sensitivity, and formality-directed sensitivity. We surveyed 218 university students in China through an online survey site. The results showed that formality-directed and other-directed sensitivity have significant impacts on iPhone preferences. Self-directed sensitivity was not significant. We investigated two moderate variables, namely, financial ability and brand sensitivity. Both variables showed significantly moderate impacts on the intention to purchase iPhone. The impact of social-face sensitivity on iPhone preferences implies that the iPhone has dual characteristics to the Chinese, namely, as utility and luxury goods. This finding offers managerial implications for Apple and other mobile service companies in terms of production and marketing strategies.

Theme Analysis of Foodservice Research on Dangol (단골에 관한 외식서비스의 연구 주제 분석)

  • Sunhwa Shin;Kyungsoo Han
    • Journal of the FoodService Safety
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    • v.5 no.1
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    • pp.12-18
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    • 2024
  • "Dangol" is a native Korean word originating from 18 century folklore. Dangol is often used as a keyword and term in consumer marketing and foodservice industry research. However, a variety of other terms have also been used to express the concept of Dangol, including loyalty, brand loyalty, Choongsung, Choongsung level, loyal customer, Dangol customer, Dangol intention, and store loyalty. Due to a lack of clear conceptualizations of Dangol, terms such as Dangol, Choongsung, and loyalty are often mixed in their use, even in a single study. This study confirmed whether Dangol is being used interchangeably with loyalty in domestic literature by applying an integrated literature review of studies found on Google Scholar. Of the studies that have been published since 1990, 219 studies were analyzed. The first analysis yielded eight research keywords related to Dangol. Dangol intention, Dangol doctor, and Dangol faith were the most commonly used at 18.2%, followed by Dangol customer and Dangol relationship at 13.6%. The second analysis yielded nine research keywords related to loyalty. Out of the 99 cases, loyalty program occurred most frequently at 46%, followed by loyalty at 20%. The third analysis yielded 22 research keywords related to Choongsung in total. Customer Choongsung was most frequent at 28%, followed by trademark Choongsung at 14%. Finally, the results of the content analysis on Dangol was summarized as "designated relationship for business transaction and the relationship between the seller", "the customer when a single transactional relationship is established continuously".

A Study on the Development of One-Mile Comfort Wear Products for New Silver Women (뉴 실버 여성의 원마일 컴포트웨어 제품개발 연구)

  • Eun-Jung Cho;Chan-Ho Kim
    • Journal of the Korea Fashion and Costume Design Association
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    • v.26 no.2
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    • pp.57-72
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    • 2024
  • Currently, Korea is on the verge of entering into an ultra-aged society and the associated market size is growing. In this regard, customer-centered design that understands the consumer needs of the new silver generation, which is emerging as a new consumer group, and reflects them in products is the key to the success of the high-value-added fashion industry. Therefore, this study reviewed the changes in physical, biological, social, and psychological characteristics of the new silver generation, through a review of related books and previous studies, and secured the direction for clothing product development for the new silver generation. The literature review was supplemented by group interviews to accurately identify the needs of silver consumers. In addition, the study conducted case analysis through web searches of fashion magazines, newspaper articles, brand web sites, and trend information sites to investigate the market trends of one-mile wear products that have emerged due to the COVID-19 pandemic, the characteristics of one-mile wear brands, and products for new silver women, including size specification analysis and sewing techniques that minimize skin irritation while reflecting the consumer's characteristics. Based on the results of this study, a competitive design and product development were proposed from an economic and industrial perspective that can enhance the product value and maximize the marketing effect by developing consumer-oriented one-mile comfort wear products with aesthetic, practical, functional, and economic values that satisfy the characteristics and needs of new silver women.

Categorizing Quality Features of Franchisees: In the case of Korean Food Service Industry (프랜차이즈 매장 품질요인의 속성분류: 국내 외식업을 중심으로)

  • Byun, Sook-Eun;Cho, Eun-Seong
    • Journal of Distribution Research
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    • v.16 no.1
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    • pp.95-115
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    • 2011
  • Food service is the major part of franchise business in Korea, accounting for 69.9% of the brands in the market. As the food service industry becomes mature, many franchisees have struggled to survive in the market. In general, consumers have higher levels of expectation toward service quality of franchised outlets compared that of (non-franchised) independent ones. They also tend to believe that franchisees deliver standardized service at the uniform food price, regardless of their locations. Such beliefs seem to be important reasons that consumers prefer franchised outlets to independent ones. Nevertheless, few studies examined the impact of qualify features of franchisees on customer satisfaction so far. To this end, this study examined the characteristics of various quality features of franchisees in the food service industry, regarding their relationship with customer satisfaction and dissatisfaction. The quality perception of heavy-users was also compared with that of light-users in order to find insights for developing differentiated marketing strategy for the two segments. Customer satisfaction has been understood as a one-dimensional construct while there are recent studies that insist two-dimensional nature of the construct. In this regard, Kano et al. (1984) suggested to categorize quality features of a product or service into five types, based on their relation to customer satisfaction and dissatisfaction: Must-be quality, Attractive quality, One-dimensional quality, Indifferent quality, and Reverse quality. According to the Kano model, customers are more dissatisfied when Must-be quality(M) are not fulfilled, but their satisfaction does not arise above neutral no matter how fully the quality fulfilled. In comparison, customers are more satisfied with a full provision of Attactive quality(A) but manage to accept its dysfunction. One-dimensional quality(O) results in satisfaction when fulfilled and dissatisfaction when not fulfilled. For Indifferent quality(I), its presence or absence influences neither customer satisfaction nor dissatisfaction. Lastly, Reverse quality(R) refers to the features whose high degree of achievement results in customer dissatisfaction rather than satisfaction. Meanwhile, the basic guidelines of the Kano model have a limitation in that the quality type of each feature is simply determined by calculating the mode statistics. In order to overcome such limitation, the relative importance of each feature on customer satisfaction (Better value; b) and dissatisfaction (Worse value; w) were calculated following the formulas below (Timko, 1993). The Better value indicates how much customer satisfaction is increased by providing the quality feature in question. In contrast, the Worse value indicates how much customer dissatisfaction is decreased by providing the quality feature. Better = (A + O)/(A+O+M+I) Worse = (O+M)/(A+O+M+I)(-1) An on-line survey was performed in order to understand the nature of quality features of franchisees in the food service industry by applying the Kano Model. A total of twenty quality features (refer to the Table 2) were identified as the result of literature review in franchise business and a pre-test with fifty college students in Seoul. The potential respondents of our main survey was limited to the customers who have visited more than two restaurants/stores of the same franchise brand. Survey invitation e-mails were sent out to the panels of a market research company and a total of 257 responses were used for analysis. Following the guidelines of Kano model, each of the twenty quality features was classified into one of the five types based on customers' responses to a set of questions: "(1) how do you feel if the following quality feature is fulfilled in the franchise restaurant that you visit," and "(2) how do you feel if the following quality feature is not fulfilled in the franchise restaurant that you visit." The analyses revealed that customers' dissatisfaction with franchisees is commonly associated with the poor level of cleanliness of the store (w=-0.872), kindness of the staffs(w=-0.890), conveniences such as parking lot and restroom(w=-0.669), and expertise of the staffs(w=-0.492). Such quality features were categorized as Must-be quality in this study. While standardization or uniformity across franchisees has been emphasized in franchise business, this study found that consumers are interested only in uniformity of price across franchisees(w=-0.608), but not interested in standardizations of menu items, interior designs, customer service procedures, and food tastes. Customers appeared to be more satisfied when the franchise brand has promotional events such as giveaways(b=0.767), good accessibility(b=0.699), customer loyalty programs(b=0.659), award winning history(b=0.641), and outlets in the overseas market(b=0.506). The results are summarized in a matrix form in Table 1. Better(b) and Worse(w) index indicate relative importance of each quality feature on customer satisfaction and dissatisfaction, respectively. Meanwhile, there were differences in perceiving the quality features between light users and heavy users of any specific franchise brand in the food service industry. Expertise of the staffs was labeled as Must-be quality for heavy users but Indifferent quality for light users. Light users seemed indifferent to overseas expansion of the brand and offering new menu items on a regular basis, while heavy users appeared to perceive them as Attractive quality. Such difference may come from their different levels of involvement when they eat out. The results are shown in Table 2. The findings of this study help practitioners understand the quality features they need to focus on to strengthen the competitive power in the food service market. Above all, removing the factors that cause customer dissatisfaction seems to be the most critical for franchisees. To retain loyal customers of the franchise brand, it is also recommended for franchisor to invest resources in the development of new menu items as well as training programs for the staffs. Lastly, if resources allow, promotional events, loyalty programs, overseas expansion, award-winning history can be considered as tools for attracting more customers to the business.

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Intelligent Brand Positioning Visualization System Based on Web Search Traffic Information : Focusing on Tablet PC (웹검색 트래픽 정보를 활용한 지능형 브랜드 포지셔닝 시스템 : 태블릿 PC 사례를 중심으로)

  • Jun, Seung-Pyo;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.19 no.3
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    • pp.93-111
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    • 2013
  • As Internet and information technology (IT) continues to develop and evolve, the issue of big data has emerged at the foreground of scholarly and industrial attention. Big data is generally defined as data that exceed the range that can be collected, stored, managed and analyzed by existing conventional information systems and it also refers to the new technologies designed to effectively extract values from such data. With the widespread dissemination of IT systems, continual efforts have been made in various fields of industry such as R&D, manufacturing, and finance to collect and analyze immense quantities of data in order to extract meaningful information and to use this information to solve various problems. Since IT has converged with various industries in many aspects, digital data are now being generated at a remarkably accelerating rate while developments in state-of-the-art technology have led to continual enhancements in system performance. The types of big data that are currently receiving the most attention include information available within companies, such as information on consumer characteristics, information on purchase records, logistics information and log information indicating the usage of products and services by consumers, as well as information accumulated outside companies, such as information on the web search traffic of online users, social network information, and patent information. Among these various types of big data, web searches performed by online users constitute one of the most effective and important sources of information for marketing purposes because consumers search for information on the internet in order to make efficient and rational choices. Recently, Google has provided public access to its information on the web search traffic of online users through a service named Google Trends. Research that uses this web search traffic information to analyze the information search behavior of online users is now receiving much attention in academia and in fields of industry. Studies using web search traffic information can be broadly classified into two fields. The first field consists of empirical demonstrations that show how web search information can be used to forecast social phenomena, the purchasing power of consumers, the outcomes of political elections, etc. The other field focuses on using web search traffic information to observe consumer behavior, identifying the attributes of a product that consumers regard as important or tracking changes on consumers' expectations, for example, but relatively less research has been completed in this field. In particular, to the extent of our knowledge, hardly any studies related to brands have yet attempted to use web search traffic information to analyze the factors that influence consumers' purchasing activities. This study aims to demonstrate that consumers' web search traffic information can be used to derive the relations among brands and the relations between an individual brand and product attributes. When consumers input their search words on the web, they may use a single keyword for the search, but they also often input multiple keywords to seek related information (this is referred to as simultaneous searching). A consumer performs a simultaneous search either to simultaneously compare two product brands to obtain information on their similarities and differences, or to acquire more in-depth information about a specific attribute in a specific brand. Web search traffic information shows that the quantity of simultaneous searches using certain keywords increases when the relation is closer in the consumer's mind and it will be possible to derive the relations between each of the keywords by collecting this relational data and subjecting it to network analysis. Accordingly, this study proposes a method of analyzing how brands are positioned by consumers and what relationships exist between product attributes and an individual brand, using simultaneous search traffic information. It also presents case studies demonstrating the actual application of this method, with a focus on tablets, belonging to innovative product groups.