This study contemplates the effect of social media advertising attributes on consumers’ purchasing decisions in cosmetic products. It will serve as basic data for SNS’s advertising strategy and marketing that promotes cosmetics sales. This study conducted a survey and went through the analysis process of SPSS v.25.0 statistical program. Frequency analysis, exploratory factor analysis, descriptive statistical analysis, correlation analysis, and regression analysis were conducted to analyze that informativity, reliability, entertainment, interactivity, and disturbance among SNS advertising attributes were used as effective advertising strategies, which had a positive effect on consumers' purchasing decisions. Therefore, in the cosmetics industry, it is necessary to seek strategies to actively utilize marketing in the social media space to promote consumers' purchase needs and to activate purchases.

본 연구는 국내 스포츠 은퇴 선수들의 광고 스타파워 효과성을 검증하여 기업 및 광고 에이전 시의 효율적인 광고 모델 전략을 위한 기초자료를 제공하고자 했다. 따라서 국내 스포츠 은퇴 선수들이 광 고 모델로 선정된 광고를 인지하고 있는 사람들을 표본으로 선정했으며, 206부의 자료를 최종분석에 적용 했다. 자료처리는 SPSS(ver. 21.0) 프로그램으로 빈도 및 신뢰도 분석을 실시했다. 또한 AMOS(ver. 20.0) 프로그램으로 확인적 요인분석, 상관분석, 구조방정식 모형분석, 효과성의 유의성을 검증했다. 연구결과 첫 째, 국내 스포츠 은퇴 선수들의 스타파워는 호감도에 긍정적인 영향이 있는 것으로 나타났다. 둘째, 호감도 는 광고 소비행동에 긍정적인 영향이 있는 것으로 나타났다. 셋째, 스타파워는 광고 소비행동에 긍정적인 영향이 있는 것으로 나타났다. 마지막으로 스타파워는 광고 소비행동에 직접효과가 더 큰 것으로 나타났으 며, 호감도는 부분매개효과가 있는 것으로 검증됐다.

Recently, there are some outdoor floor advertising lighting devices as one of the active marketing methods. However, for outdoor use, there are many restrictions due to the Outdoor Advertisement Act, according to requiring high-output heat generation, waterproofing, and AC power, etc. The purpose of this study is to develop a Duo Light product optimized for indoor use through publicity and information guidance in normal times and automatic evacuation route guidance display in case of disaster, in conjunction with disaster safety. To that end, patent search and patent association analyses were conducted, and a comparative analysis with commercial products was conducted as a case study. In addition, prototypes were designed and produced through the review of operation principles, where field environment surveys and self-tests were conducted. Also, technology roadmaps were presented by preparing plans for expandability and advancement of products. For the analysis of technology commercialization, the feasibility of technology commercialization was examined through the analysis of Jolly’s Model and Lean Canvas Model. The results of this study will be able to contribute to minimize human damage through the effective response to disasters, which can increase the effect of indoor advertising by using the proposed indoor floor advertising lighting device in advertising and disaster situations.

Luxury brands are increasingly embracing intrinsic values in their advertising campaigns. This paper reports an exploratory study examining the adoption of value-laden advertising focusing on intrinsic values. Through a content analysis of ads from 9 top luxury fashion brands, the depiction of intrinsic values was examined. Research results are discussed and academic and managerial implications are presented.

The purpose of this research is to examine the effectiveness of egoistic and altruistic claims in organic cotton apparel advertising. We examined how those claims can influence attitudes toward the product, attitudes toward the brand, and purchase intentions.

As in its early development, metaverse has become a popular marketing topic with broad participation among marketers and consumers. Due to the global pandemic and lockdowns that hit offline marketing channels, people seek online and virtual interactions (Taherdoost, 2022). It accelerated the changes in consumers’ habits and participation in digital media. The term metaverse was first introduced in 1992 in a Sci-Fi Snow Crash (Stephenson, 1992), describing a space where users can join as avatars through terminals with virtual reality features (The Economist, 2020). And with the development of web3, metaverse has evolved into a hyper-connected online universe. Kim (2021) defines the metaverse as the network of virtual environments where individuals can communicate and interact with one another and objects in real-time using their digital representation or avatars. Brands lead and help consumers to find ways to enter the metaverse space, accelerating mainstream adoption. Philipp Plein, a Swiss fashion brand, purchased 65 parcels of land with 1.4 million dollars in the metaverse platform Decentraland with about 800,000 registered users (Hiken, 2022).

A typical consumer is exposed to more than 5,000 advertisements per day (Story 2015) by exposure to around 500 advertising messages before ending breakfast (Marshall, 2015), and it is impossible for consumers to remember most of the advertisement images and messages. Thus, one consistent yet not thoroughly investigated question for advertisers is how advertisers draw consumers' attention by differentiating their brand from competitors' brands. One suggestion from academia is making more "creative" advertising (Dahlén et al., 2008; Lehnert et al., 2014; Rosengren et al., 2013; Smith et al., 2008). However, it is still questionable the exact meaning of "advertising creativity," and the effects of creative advertising on consumer evaluation have not been fully investigated the effects of creativity in advertising evaluation by considering various boundary conditions. The objective of this research is to redefine advertising creativity, to understand how advertising creativity shapes consumers' evaluation, and how these effects are moderated by the different types of boundary conditions, such as industry category, by analyzing more than 100,000 advertising images and copies using a cutting-edge transfer learning technique. The results of the transfer learning algorithm indicate that both cognitive dimensions (e.g., novelty of image) and affective dimensions (e.g., awe and coolness) simultaneously affect the consumers' perception of the advertising creativity, and the current algorithm enables to detect of creative advertising image with 92% accuracy rate.

Emotion AI, a subset of AI that measures, understands, responds to, and elicits human emotions, is an emerging area that has great potential for advertising research and practice. Studies on the applicability of emotion AI in advertising and marketing have been growing in academic journals. This rapidly burgeoning scholarship creates a need for advertising scholars to comprehend the current status of the research on emotion AI in advertising as well as opportunities and challenges that this new technological development will bring to. Thus, this study aims to offer an overview of research on emotion AI in advertising to identify the scope of existing research, gaps in knowledge, and opportunities and challenges that lie ahead.