Artificial intelligence generated content (AIGC) refers to content produced by artificial intelligence that represents the perspectives of its users, and a new technique of content Generation. Continuous development in deep learning and algorithms have facilitated the adoption of AIGC. This research summarizes literature published under the topic of AIGC using bibliometric analysis method, aims to provide insightful research directions for future studies. 342 documents were collected from Database of Web of science, network visualization analysis among authors and citation analysis over publications are presented to scholars who wish to further research into this area.

This paper develops a conceptual model of international social media marketing strategy that describes how culture shapes consumers’ use of social media around the world. Drawing from cultural psychology, marketing, and computer information systems, we use Kietzmann et al.’s (2011) functional building blocks of social media to organize social media functions, then explicate how various dimensions of culture affect the way such social media functions are used across cultures. By delineating these complex relationships, our model and the propositions that stem from it offer directions for future research and advance understanding of cross-cultural differences with implications for businesses that provide social media or capitalize on social media for global reach in the international marketplace.

Three categories of basic consumer needs are functional, symbolic, or experiential (Shimp, 2010). Functional climbing wear is specially designed garment for outdoor activity and climbing movement using optimized textiles and garment making engineering process. Therefore, visible feature such as color and design could not provide sufficient information of products for proper communication between company and consumer. Product information of functional wear can be delivered to the consumers via Hang-Tag or advertising but the contents of Hang-Tag are too difficult for the consumers to understandfunctional performance of the product (Lee, Bang, & Yoo, 2014). As to advertisements of functional clothing, its contents and appeal types do not much differ from those of fashion apparel providing no functional information with celebrity models; percentage of no functional information ads were the highest (Liu & Yoo, 2014). This study stared to answer the question, ‘is functional information essential in the ads of functional clothing?’ and ‘is it successful?’ The aim of this study, therefore, was to examine the effects of functional information in the advertisements of functional climbing wear. The advertising effectiveness was measured by ‘communicability’, ‘reliability’,‘favorability’ of the advertisement and ‘awareness and reliability of product’, and ‘purchasing related influence’. For the stimulus,10 different types of advertisements were prepared by combining of the following factors: functional information (whether or not to include), appeal type (rational/emotional), and model type (celebrity/non-celebrity/no-human). For the survey, 388 adults in their 20-50’s were participated. The results showed that regardless ofappeal type or model type, functional information enhanced ‘communicability’, ‘reliability’, ‘favorability’ of the advertisement and ‘awareness and reliability of product’, and ‘purchasing related influence’. It implied the importance andnecessity of functional information in the functional climbing wear advertisement.When other variables were controlled, emotional appeal with human models,especially celebrity model, enhanced the advertising effects. Meanwhile, advertisement with rationalappeal and functional information resulted in better ‘favorability’ of ads even without celebritymodels.The finding from this study could be useful information for the functional clothing company to planstrategies for effective advertisement of their products.