Recent trends of new venture startups have paved the way for the expansion of the design industry and opened new windows of opportunity for the traditionally small and non-specialized design business. In this environment, design startups are rapidly growing in modern society, and thus meeting the needs of consumers through the development of innovative products, processes, and services. This study aims to determine the critical success factors affecting design startups. To this end, the concept and success variables of startup businesses were studied based on previous research, and then key success factors of design startups were identified. A total of 24 experts, from 12 design-based small venture startups and 12 technology-based small and medium startups, were surveyed regarding their priorities related to these factors, using the analytic hierarchy process (AHP). The results suggest that idea commercialization is the most important success factor as an innovation criterion among the four success criteria of design startups. Hence, entrepreneurial conditions, such as goal-orientation and entrepreneurs’ competence, are important success factors for design startups.

This study’s purpose is to examine the effect of employee experience on job satisfaction, psychological well-being, and organizational commitment among corporate employees, with a specific focus on three factors: physical, technological, and cultural experiences. Given the growing importance of mental health management for employees, the study investigates the relationship between employee experience and mental toughness. A structural equation modeling research model was designed, and data were collected through a survey of 534 Korean employees. The analysis results show that cultural and physical experiences have a significant impact on organizational commitment, while technological experience does not have a significant impact. Furthermore, the study identifies that employee experience positively effects organizational commitment through job satisfaction and psychological well-being as mediators. It also reveals that the effect of employee experience on organizational commitment varies depending on the level of mental toughness. The findings suggest that managing employee experience can increase organizational commitment by improving job satisfaction and psychological well-being. Therefore, it is essential to be aware of individual mental toughness and its development. Hence this study highlights the importance of considering the physical, technological, and cultural experiences of employees in enhancing their well-being and commitment to the organization.

The use of big data, artificial intelligence, and new information and communication technologies has led to sustainable developments and improved business competitiveness. Until recently cloud services were classified as having special system requirements for a business organization, and was represented by different cloud computing architecture layers like infrastructure, platform, or software as a service. However, as the environment of IT services undergoes successive changes, companies have been required to reconsider their business models and consider adopting a cloud computing system, which can bring on business achievements and development. Regarding a decision-making model for adopting a cloud computing system, this paper analyzes critical variables in a hierarchical structure of decision areas: technology, organization, and environment, as well as seven factors and 23 attributes based on underlying decision factors of cloud computing adoption by AHP (Analytic Hierarchy Process) and Delphi analysis. Furthermore, this research explores a comparative analysis between demanders and providers of cloud computing adoption. Resultantly, this study suggests several important factors for adopting a cloud computing system: top management support, competitive pressure, and compatibility. From the demander side, the high priority factor was compatibility and competitive pressure; in contrast, related advantage and top management support were regarded as priority factors for providers to service their cloud computing systems.

The rapid global expansion of ChatGPT, which plays a crucial role in interactive knowledge sharing and translation, underscores the importance of comparative performance assessments in artificial intelligence (AI) technology. This study concentrated on this crucial issue by exploring and contrasting the translation performances of large language models (LLMs) and neural machine translation (NMT) systems. For this aim, the APIs of Google Translate, Microsoft Translator, and OpenAI’s ChatGPT were utilized, leveraging parallel corpora from the Workshop on Machine Translation (WMT) 2018 and 2020 benchmarks. By applying recognized evaluation metrics such as BLEU, chrF, and TER, a comprehensive performance analysis across a variety of language pairs, translation directions, and reference token sizes was conducted. The findings reveal that while Google Translate and Microsoft Translator generally surpass ChatGPT in terms of their BLEU, chrF, and TER scores, ChatGPT exhibits superior performance in specific language pairs. Translations from non-English to English consistently yielded better results across all three systems compared with translations from English to non-English. Significantly, an improvement in translation system performance was observed as the token size increased, hinting at the potential benefits of training models on larger token sizes.

This study aims to examine the impact of mental toughness of employees on their psychological well-being, job satisfaction, and organizational commitment. A research model based on structural equation modeling ‘ developed, and a survey was conducted with 534 office workers in Korean companies to gather the data. The findings indicate that mental toughness has a significant effect on psychological well-being and positively (+) affects organizational commitment and job satisfaction through psychological well-being. The study also reveals that mental toughness has a greater influence on organizational commitment than on job satisfaction. However, the positive effect of job satisfaction was found to increase when psychological well-being was mediated. Consequently, this study recommends that employees’ mental toughness be managed effectively to improve their job satisfaction and organizational commitment, leading to enhanced job competency, and reduced turnover intention. These findings are of practical significance to organizational practitioners, as they underscore the importance of fostering mental toughness among employees to promote their well-being and commitment to their work.