This study aims to help companies with efficient investment and marketing strategies by empirically verifying the impact on satisfaction and purchase intention for artificial intelligence-based digital technology supported shopping assistants introduced in e-commerce. Frequency, factor, SEM, and multiple group analysises were conducted using SPSS 26.0 and Amos 26.0. As a result, first, motivated consumer innovativeness elements of AI shopping assistant were derived into a total of four categories: functional, hedonic, rational, and reliable. Second, in the order of hedonic and rational, satisfaction with the AI shopping assistant was significantly affected, and in the order of rational and functional, purchase intention was significantly affected. The satisfaction with the AI shopping assistant did not affect the purchase intention. Third, in the case of hedonic, the AI-preferred group had a more significant effect on satisfaction than the human-preferred group, and in the case of rational, there was no difference by group in purchase intention. Thus, it was found that consumers prefer AI shopping helpers for e-commerce because they can shop reasonably and are functionally convenient. Therefore, when introducing AI shopping assistants, it is essential to include content that can compare and analyze fundamental information, such as product prices, as well as search functions and payment system compatibility that facilitate shopping.
This study aims to understand the influence of authentic marketing on the formation of trust between brands and customers and consumers’ purchase intentions and to analyze the role that brand trust has in this process. In doing so, it examines the specific aspects of authentic marketing that increase brand trust and contribute to the formation of purchase intentions, which could then be leveraged as key elements of a company’s marketing strategy. Data in this study was used frequency analysis and factor analysis through SPSS 26.0, and reliability analysis using Cronbach’s alpha coefficient. Subsequently, confirmatory factor analysis, path model analysis, and mediated effect analysis were performed using AMOS. Finding indicate that, identity and truth in authentic marketing had a positive effect on brand trust but heritage and reality did not affect brand trust. It was also found that the factors of identity, heritage, reality, and trust did not significantly affect purchase intention. Additionally, brand trust was found to have a positive effect on purchase intention. Finally, the analysis indicates that brand trust plays a mediating role in the process of forming purchase intention through the factors of identity and truth in authentic marketing. Therefore, the core of authentic marketing is the sincere relationship between companies and consumers obtained from the clarity and integrity of messages, and in this process, mutual trust is built, which leads to product purchases. It can be surmised that the purpose of authentic marketing is to build relationships with consumers based on brand trust.
This study aimed to categorize consumers using super app functional characteristics to identify demographic differences, and analyze shopping orientations by consumer type. This data can be used by fashion and beauty companies for product planning and marketing strategies. To categorize super app consumers, data were analyzed with SPSS v.26.0 software using frequency, factor, reliability K-mean cluster, and distributed analyses, one-way-ANOVAs, and Scheffe verification. Cross-analysis was conducted to correlate super app consumer types with demographic characteristics. One-way-ANOVAs and Scheffe verification were used to analyze the differences in shopping preferences between super app consumer groups. As a result of our analyses, super app consumers were classified into four types: the ration type, the low-use type, the multifunction type, and the habit type. There were statistically significant differences between these types in age, occupation, marital status, average monthly household income, and shopping impact factors. Five super app user shopping orientations were identified: brand pursuit, pleasure pursuit, trend pursuit, risk perception, and economic orientation. The differences in the preferred orientation between super app consumer types were found to be statistically significant. The majority of respondents were multifunction type consumers. This group used the super app most frequently and effectively. They also demonstrated the highest scores for all five of the shopping orientations. The classification of consumer types in this study will allow the fashion and beauty industries to utilize super apps for more targeted product design and marketing.
In this study, an empirical analysis was conducted on the use of Korean design elements in the Hanbokwave project in 2022 in order to identify the expressed fashion characteristics and define Korean style. A case study was conducted on 98 items of clothing representing 10 Hanbok designer brands, and an analysis card was developed and used that classifies the silhouette of each item in detail. The analysis showed that in addition to the traditional skirt and Jeogori, the four stages of simulakr’s image were prevalent in various fashion items such as shirts, blouses, jackets, crop tops, vests, dresses, and pants. In the composition of sleeves, many western clothing methods such as set-in-sleeve use and adjustment, hardcover buttons, and zippers were used to fuse the three-dimensional structure of western clothing and elements of traditional Hanbok to redefine it as postmodernism. It was recognized as a modern fashion, such as the trend of mixing and matching tops and bottoms, not a skirt and Jeogori set, by layering traditional clothes without hesitation or using them as a dress. As for the silhouette of the bottoms, the A-line showed a high frequency, and the prominent shape was identified as a traditional element widely used in modern Hanboks along with the element of wrinkles. This study is thought to be used as practical data for design development for the globalization of K-fashion in the future.
This study conducted in-depth interviews with experts to implement Hanbok shows on metaverse, which can contribute to the succession and development of Hanbok design and to establish a platform that fits the reality of the Hanbok industry and consumers. In-depth interviews were conducted to collect opinions from experts, and the derived contents were divided and analyzed using an affinity diagram. Experts were positive about the use of the metaverse platform of the Hanbok show in terms of impact, accessibility, exposure, virtual fitting, issuance of NFTs, and promotion of Hanbok brands. As a result of verifying the validity of the four components of metaverse, experts highly evaluated the possibility of using Hanbok shows in the order of virtual reality, augmented reality, mirror world, and lifelogging. Visuality, influence, marketing efficiency in virtual reality, immersion in augmented reality, fantasy and artistic elements, expression, diversity, and abundant experiences were expected. The platform’s requirements emphasized realistic implementation equipment and technology, collaboration between Hanbok designers and producers, in addition to government support. Results of this study showed that appropriate target was analyzed to be in the 10–30s, and the appropriate price range was found to be able to sell at a discount of 40–80% compared to offline. This study provides useful implications for the service development of metaverse content, which will also be actively used in the Hanbok field, and can be used as basic data for reviving the Korean Hanbok industry and strengthening international competitiveness.
The purpose of this study is to identify the relationship between experience marketing using makeup services and theme park users’ satisfaction, loyalty, and revisit intention. This is because it can identify the usefulness of makeup services and provide implications for effective field marketing strategies. In order to achieve the purpose, 668 users of the theme park were surveyed after convenience screening as research participants. The main theme was the makeup service for visitors to Lotte world, Everland, and Hapcheon Ghost theme park. this study reviewed previous studies and applied them to the makeup service. Based on this, the research model and the hypothesis were established, and as part of the empirical research, the hypothesis was verified through analysis methods such as frequency analysis, reliability verification, factor analysis, and structural equation modeling. The summary of the research results based on empirical analysis is as follows. First, as a result of analyzing experience marketing using makeup services has a positive impact on the satisfaction of customers using theme parks. Second, experience marketing using makeup services has a positive effect on customer loyalty. Third, experience marketing using makeup services has a positive effect on intention to return. Fourth, satisfaction and loyalty were found to affect the intention to return. Based on this research, we hope that the makeup service as experiential marketing can be effectively applied in various fields, and that the research can be used as basic data to make the makeup service into the representative cultural contents marketing.