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Drawing on theories from personality psychology and motivation, this study examined the acceptance of generative Artificial Intelligence (AI) technology. It analyzed the impact of demographic characteristics, usage level of generative AI, user personality traits, and motivation on trust, satisfaction, and intention to use (including willingness to pay) for the service. An online survey was conducted targeting users with experience in generative AI (N = 400). The results indicated that functional motivation directly influenced trust, satisfaction, and intention to use when the AI service was both free and paid. Hedonic motivation affected trust, satisfaction, and intention to use when the AI service was free and significantly influenced intention to use when it was paid, only when mediated by trust. Frequency of use directly impacted both intentions. Among personality factors, agreeableness, conscientiousness, and extraversion impacted the intention to use AI, both paid and free, when mediated by trust. Satisfaction directly influenced the intention to use when the AI service was free but did not exhibit direct or indirect effects on the intention to use for paid AI services. Conclusion: These findings present valuable insights for researchers and practitioners, aiding in understanding individual acceptance of generative AI technology based on personal characteristics and suggesting practical implications for marketing strategies, such as the development of generative AI features and personalized messages.

This study aimed to help build a quality control program to improve cardiac arrest treatment via analysis of medical records in a local tertiary general hospital to evaluate factors that influence clinical outcomes of inhospital cardiac arrest. At first, the medical records of in-hospital cardiac arrest were analyzed, and targeted surveys about functional and structural factors associated with cardiopulmonary resuscitation (CPR) were conducted amongst the workforce in charge of cardiac arrest treatment. From January 2012 through June 2013, a total of 486 adult cases of in-hospital cardiac arrests, except for those occurring in the emergency room, were enrolled in this study. Among the patients, those of recovery of spontaneous circulation were 57.8%; 13.8% of patients were discharged alive; 8.9% of patients were discharged without significant neurologic sequela. Despite CPR is usually successful when administered as quickly as possible, in this analysis showed that prompt reaction after initial recognition was significantly lower in nurses compared with doctors. Analysis of survey results showed that confidence in performing CPR was significantly associated with the experience of CPR in doctors, while in nurses educational experience showed a correlation. In order to improve quality of in-hospital CPR system maintaining and increasing confidence of CPR performance is the most important factor. Therefore it can be helpful to develop and apply a phased, customized education program using training simulators as well as personalizing them to increase the personnel's confidence in CPR performance.

In this study, social network analysis was performed to compare and analyze changes in domestic tourism trends before and after the outbreak of COVID-19 in a situation where the damage to the tourism industry due to COVID-19 is increasing. Using Textom, a big data analysis service, data were collected using the keywords “travel destination” and “travel trend” based on the collection period of 2019 and 2020, when the epidemic spread to the world and became chaotic. After extracting a total of 80 key words through text mining, centrality was analyzed using NetDraw of Ucinet6, and clustered into 4 groups through CONCOR analysis. Through this, we compared and analyzed changes in domestic tourism trends before and after the outbreak of COVID-19, and it is judged to provide basic data for tourism marketing strategies and tourism product development in the post-COVID-19.

In a recent study, the phenomena of attention being drawn to the media business, particularly over-the-top (OTT) services, was the focus. Particularly, after the Squid Game was broadcast in September 2021, the total number of Netflix users had topped 213.6 million since the company first entered the domestic market. Domestic companies have also introduced OTT services like ‘Wave’, ‘Tving’, and ‘Watcha Play’ to capitalize on this market trend. However, questions persist about how Korea's native OTT providers, both large and small, are being harmed by Netflix's strong financial position and massive content quantity. In order to offer realistic performance metrics, we analyze Coupang Play among domestic OTT service providers after reviewing the business model and management strategy of representative OTT service firms.

Service companies such as fitness centers are industries where the capabilities of employees are very important. This is because they respond to customers at the point of contact with customers who use the fitness center. Therefore, in order to strengthen the capabilities of employees are very important. This is because they respond to customers at, employees are attracting attention as a human resource(HR) management method in which occupational experience management is important in the workplace. Thus, this study aims to empirically analyze a structural equation model(SEM) that sets employee experience in fitness centers as exogenous variables and job satisfaction, organizational commitment, organizational trust, and customer orientation as endogenous variables.The sample included fitness center staff, 250 people were selected by convenience and snowball sampling, and 226 people were used for the final analysis. Data were subjected to frequency and reliability analysis(Cronbach α) using SPSS 28. SEM analysis at AMOS 21 followed a two-step approach: confirmatory factor analysis(CFA) and path analysis to verify model fit and hypothesis. In the case of Hypothesis 1 (employee experience and job satisfaction), technical experience had no significant effect on job satisfaction, whereas organizational culture experience and organizational support experience had a positive effect, leading to partial acceptance. Hypothesis 2, 3, and 4 (the influence of job satisfaction on organizational commitment, organizational trust, and customer orientation) all showed positive effects and were fully supported. In the case of Hypothesis 5 (employee experience and organizational commitment), the organizational support experience had a positive effect on organizational commitment, leading to partial acceptance. Hypothesis 6 (employee experience and organizational trust) showed that organizational culture experience and technical experience positively influence organizational trust, leading to partial acceptance. Finally, Hypothesis 7 (employee experience and customer orientation) found that only organizational support experience positively influenced customer orientation, leading to partial acceptance.

In the K-content industry, K-pop is a vital cultural phenomenon that extends beyond music to influence fashion, beauty, tourism, and the character industries. In particular, the idol characterization industry plays a vital role in fostering a bond between artists and fans and strengthening brand identity. For example, BTS's BT21 and New Jeans' rabbit characters are effectively expanding into a variety of products and media content. These characters appear across diverse platforms, contributing to a broader engagement with fans. Moreover, generating revenue through characters serves as a tool to deeply convey the artist's musical worldview and concept, beyond short-term profits. Idol characters have the complementary function of clearly presenting the artist's image to the public and enhancing the character's prominence. Webtoons, animations, and games featuring idol characters contribute to securing and expanding new fandoms. Interactions with these characters can boost brand loyalty and increase product sales. The study reveals that character-based marketing not only strengthens fandom and enhances brand loyalty but also effectively conveys the artist's vision. It highlights the crucial role of leveraging digital platforms to boost profitability and engage audiences. Furthermore, the study explores the long-term impact of these strategies on the K-Pop industry, showing how they facilitate global expansion, market entry, and sustained growth, thereby reinforcing K-Pop's position as a leading force in global entertainment.

The purpose of this study is to prove the global OTT, Netflix’s organizational resilience (OR). For this, we review previous literatures regarding Netflix’s OR and the theoretical logic of the OR. Then, we investigate Netflix’s organizational culture (OC), corporate structure and business strategies based on the five levers of the OR. As a result, the first lever, the coordination makes Netflix to get rid of the inner wall by creating Netflix terms like ‘sunshining,’ and ‘postmortem,’ which makes their employees extraordinarily candid with each other. The second lever, the cooperation provides employees with understanding customers by sharing company and service information openly and broadly through transparent board system, billboard advertising, etc. The third lever, the clout allows Netflix to encourage independent decision-making by their employees. Netflix customers are under scrutiny and served 24/7 via live chat or phone by supporting a high-performance workplace. The fourth lever, the capabilities are related to Netflix’s keeping highly effective people and it establishes a culture of highly motivated employees. The “dream team” policy is run by what is known as the “keeper test.” The last lever, the connections make Netflix to forge external strategic partnership to stay agile. There is no rule for partnering with key content producers by allowing creative freedom to them.

Advancements in generative AI are reshaping graphic and 3D content design landscapes, where AI not only enriches graphic design but extends its reach to 3D content creation. Though 3D texture mapping through AI is advancing, AI-generated 3D modeling technology in this realm remains nascent. This paper presents AI 2D image-driven 3D modeling techniques, assessing their viability in 3D content design by scrutinizing various algorithms. Initially, four OBJ model-exporting AI algorithms are screened, and two are further evaluated. Results indicate that while AI-generated 3D models may not be directly usable, they effectively capture reference object structures, offering substantial time savings and enhanced design efficiency through manual refinements. This endeavor pioneers new avenues for 3D content creators, anticipating a dynamic fusion of AI and 3D design.

We analyze the digital marketing strategies of Rare Beauty, a cosmetic brand founded by Selena Gomez in 2020, focusing on inclusivity and mental health advocacy as core pillars of its brand mission. Through an indepth review of the brand’s website design, SEO performance, social media engagement, and online review management—the key elements of a firm’s digital marketing activities—we reveal Rare Beauty’s success in authentically connecting with diverse audiences and fostering brand loyalty. Our analysis uncovers noteworthy findings: while Rare Beauty excels in creating a mission-driven aesthetic across digital platforms, there are areas for improvement, particularly in enhancing user experience by improving website readability, refining the review filtering system, and expanding social media engagement. Optimizing technical SEO could further increase discoverability. We propose these recommendations to strengthen Rare Beauty’s online presence and demonstrate how the brand’s unique approach offers valuable insights for industry professionals aiming to integrate social values into digital marketing strategies.

With recent scientific advances and growing interest in AI technologies, AI-based chatbots have been viewed as a practical learning aid for English language development. The purpose of this study is to examine preservice teachers' perceptions on the potential benefits of employing AI chatbots in English instruction and its pedagogical aspects. 28 preservice teachers majoring in English education were asked to use Kuki chatbots for a week with a guidance of a researcher and then report on their perceptions of AI chatbots in terms of perceived usefulness after use, applicability, and educational benefits and drawbacks. Emerging codes and themes were identified and evaluated using Thematic Analysis(TA) based on qualitative data from surveys and interviews. The findings show that six emerging themes were identified, encompassing perspectives on teacher, learner, communication, linguistic, affective, and assessment. The overall findings of this study revealed that AI-based chatbots can play a significant role as learning tools for stimulating interactive communication in a target language. Most preservice primary teachers acknowledge that AI chatbots can be useful as teaching and learning aids for both teachers and students. Furthermore, when applying various learner data to chatbot technology, such as learner assessment and diagnosis, a guided approach is necessary to perform a conversation appropriate for the learner's level and characteristics. Finally, as chatbots have a variety of benefits in terms of affective aspects, they may improve EFL learners' confidence in speaking English and learning motivation.