오늘날 교육 분야에서 인공지능 기술이 빠르게 발전하면서 AI 한국어 학습 앱은 혁신적인 학습 도구로 많은 주목을 받고 있다. 본 연구는 AI 한국어 학습 앱의 사용자를 연구 대상으로 삼아 기술준비도(TRI), 기술수 용모델(TAM), 정보기술성공 모형을 기반으로 양적 데이터를 분석했다. 본 연구 결과를 바탕으로 향후 한국어 학습 앱의 개발과 한국어 해외 교 육 연구를 위한 이론적 근거와 활용 방안을 제공하고 해외 한국어 교육 의 발전을 촉진하길 바란다. 연구 결과에 따르면 낙관성, 혁신성, 시스템 품질, 학습 내용, 지각된 유용성, 지각된 용이성이 사용자의 사용 태도와 사용의도에 정(+)적인 영향을 미친다. 반면에 불편함과 불확신은 사용자 의 지각된 용이성과 유용성에 부(-)적인 영향을 미친다. 특히, 사용자의 사용의도는 지각된 유용성으로부터 가장 큰 영향을 받았다. 이상의 연구 결론을 바탕으로 AI 한국어 학습 앱의 개선 대책 및 제언을 제시했다.

Numerous studies have explored the influence of Airbnb on the tourism and hospitality industry. However, relatively few studies have focused on customer engagement. Considering its crucial role of boosting customer satisfaction and behavioral intentions (Harrigan, Evers, Miles, & Daly, 2017; So, King, Sparks, & Wang, 2016), there is a great need for research into Airbnb in terms of customer engagement. Therefore, this study aims to investigate customer engagement, satisfaction, and behavioral intentions among Airbnb users. This study recruited a total of 374 US Airbnb users through Amazon Mechanical Turk (MTurk), which has been increasingly adopted to collect samples in tourism and hospitality studies. Data analysis for structural equation modeling (SEM) was conducted to determine the effects of customer engagement on satisfaction and behavioral intentions of Airbnb users. The results show that customer engagement plays a crucial role in Airbnb user experiences. This study contributes to tourism and hospitality research by applying a customer engagement scale previously developed by So et al. (2016) to examine the relationship between customer engagement and behavioral intention to use Airbnb. In addition to this relationship, satisfaction was included as a mediator to better grasp the importance of customer engagement and the role of satisfaction among U.S. Airbnb users. This research also extends the current literature of Airbnb by examining, through an empirical approach, how customer engagement with Airbnb impacts its users’ behavioral intentions.

Trust is an individual’s belief that an exchange will happen in a manner consistent with one’s confident expectations. In social networking sites (SNS), uncertainty is usually higher due to the high level of user-generated contents and the lack of face-to-face interactions. Despite this, the enhancement of experience with exchange parties could reduce the uncertainty and the increase tendencies for social commerce adoption through the increase in trust. Information seeking on SNS enhances the users’ knowledge about a product through access to the pool of information. Familiarity with SNS enhances users understanding of the shopping process and reduces the intricacy of the decisions. This study investigates the relationship between trust in SNS and purchase intentions. We propose a model including trust, information seeking, familiarity with SNS, and purchase intentions of fashion products on SNS. Data were obtained from 206 respondents who had experienced the purchase of fashion products on SNS. Mean age of the respondents was 22.1 years old and nearly 69.4 percent of the subjects were women. Approximately 84.0 percent reported a monthly income/allowance of less than US$400 and the majority (57.9 %) spent less than US$100 per six months on fashion products (e.g., apparel, shoes, etc.) purchases on the SNS. The structure equation model analysis was conducted by AMOS 23.0 using a correlation matrix with maximum likelihood approach. The structural equation model was relatively acceptable (chi-square value = 88.02, df = 57, p = .005; GFI = .94, AGFI = .90, RMR = .04). Cronbach's alphas were ranged between .80 and .88. We used Facebook as the best known SNS to empirically test our model. Results from a survey of Facebook users showed that trust in SNS increases information seeking which in turn increases the familiarity with SNS. In addition, trust and familiarity with SNS increase the intention to purchase fashion products on SNS. Findings indicate that trust in SNS was found to be a key predictor of intention to purchase fashion products from SNS directly and indirectly. Theoretical and managerial implications are discussed.

The purposes of this study were (1) to investigate the factors which affect customer satisfaction of Upo wetland ecotourism website, Upo Wetland Cyber Ecological Park. (2) to examine the relationship between satisfaction and behavioral intentions, specifically, the desire to revisit and :recormnend it to others. The four factors were ecotourism contents, design, system charaderistics, and trust. It was found that four factors, i.e., ecotourism contents, design, system characteristics, and trust were significantly influencing customer satisfaction, which in tum affected revisit and word of mouth. Suggestions for further studies and managemental implications are discussed.