This study investigated the impact of personality traits, digital entrepreneurship education, and digital mindset on entrepreneurial intention among 250 Tunisian university students. The findings indicate that openness to experience and conscientiousness positively influence both digital entrepreneurial intention and academic performance. Digital mindset emerges as a mediating variable between openness and academic performance, highlighting the role of technological curiosity in translating personality traits into learning outcomes. Notably, formal entrepreneurship education exerts a negative moderating effect on the relationship between digital mindset and academic performance, suggesting that overly standardized instructional approaches may constrain creativity. Extraversion and agreeableness show no direct effects, while emotional stability appears as a weak predictor. The results offer practical implications for the design of personality-informed entrepreneurship curricula in less developed countries.

This study explored the integration of artificial intelligence (AI) in e-entrepreneurship education, focusing on its impact on personalized learning, skill development, and student engagement. Using the diffusion of innovations framework, it examined factors influencing AI adoption, including infrastructure, educator preparedness, and ethical concerns. Through semi-structured interviews with Gen Z learners and focus groups with educators and AI technologists, the research identified key challenges—AI complexity, resistance to change, and data privacy. The study demonstrated that AI tools, such as personalized learning systems and business simulations, enhance entrepreneurial training by providing adaptive learning and real-time feedback. It concluded with policy recommendations to ensure inclusive access, especially for underserved entrepreneurs and contributes to understanding AI's transformative potential in bridging Indonesia's digital skills gap.

The purpose of this study is to investigate the Omani digital entrepreneurial ecosystem (EE) and its effect on opportunity recognition and action. Using a descriptive methodology, data were collected from 109 Omani nascent entrepreneurs who are at the stage of launching their tech start-up companies. The authors used SPSS to analyzed data. The finding confirmed that the EE positively influences the opportunities and action from a digital entrepreneurship perspective. The original contribution of this research is to offer an empirical investigation of the role played by the EE not only in terms of the digital opportunity recognition process but also on the capability of nascent entrepreneurs to move toward effective entrepreneurial action. This research offers theoretical and practical implications for decisions makers on opportunity recognition.

Due to the risky nature of newly creative projects for entrepreneurs, reward-based crowdfunding is currently an alternative fundraising channel for those who need seed funding to finance the creation of their prototype. The objectives of this research are to explore the success factors, including entrepreneurial, project and campaign factors, in project fundraising under a reward-based crowdfunding platform. We propose to develop a model for predicting the success of crowdfunding projects by machine learning. The datasets have been retrospectively gathered from historical records of campaigns in the Kickstarter website. The study's findings show that the logistic regression and decision tree models, respectively, had accuracy rates of 88.2% and 88.8%. The highest accuracy percentage of 94.1% originates from new testing data that has been externally validated for the technology industry. The practical implication of our research is that entrepreneurs can apply the proposed prediction model to identify the most influential topical features embedded in campaigns.

Despite the increasing popularity and research focus on the application of artificial intelligence (AI) in entrepreneurship, no comprehensive bibliometric analysis of relevant papers has been conducted. Our review examines 127 Scopus-indexed publications from 2007 to October 2023. The inquiry explores thematic progression, geographical production trends, and seminal works shaping the discourse. Notably, while authors from Asia, mainly China, lead in publication volume, influential works from the USA, the UK, and Australia attract significant scholarly attention. The analysis reveals a prominent trend: highly cited papers often lack theoretical frameworks, with literature reviews and conceptual analyses prevailing over empirical investigations. When theoretical foundations are present, diverse theories are often amalgamated. In conclusion, our review highlights numerous avenues for future academic exploration in this domain. Pragmatically, our effort, the first of its kind, consolidates fragmented insights, providing a cohesive understanding of AI's pivotal role in entrepreneurship.

Over the past twenty years, customer experience has attracted the attention of researchers and business executives. For the hotel service industry, understanding customer experience becomes a necessity, as it is one of the top goals for hotel survival. With the development of e-commerce and the globalized hotel industry, customers are easily shared on online booking sites, making hotel managers work harder to design a good customer experience management plan. This chapter proposes an approach to analyzing data from customers' online reviews with their experiences to understand their emotional and psychological states after using Vietnamese hotel services. The Python language is used for statistical analysis of these data, and the Vander library measures customers' positive and negative views after the hotel service experience. The results show that most customers are satisfied with Vietnamese hotel services, and less than 10% are dissatisfied with aspects such as staff, price, check-in, and location.

The aim of this research is to understand role of citizens' perception of legitimacy and trust on the government on the relationship between perceived usefulness of innovative e-government services and citizens' intentions to adopt innovative e-government services in Pakistan. The authors used both qualitative and quantitative methods in two studies and collected data with mixed survey technique for the inclusion of the perception of the citizens from both sample groups. Data collected in both of the studies was then analyzed with KH Coder 3 for co-occurrence network and with Mplus 7.0 for random coefficient models. Results shown that trust on the government as affected by perception of legitimacy emerged as moderators of the relationship between perceived usefulness of innovative e-government services and intentions to adopt innovative e-government services in addition to simple moderation and mediated moderation, joint effect of perceived usefulness of innovative e-government services, trust on the government, and perception of legitimacy, found for intentions to adopt innovative e-government services. This research will help policy makers and government officials to understand, what might be hindering citizens' adoption of innovative e-government services and what they need to focus on in addition to useful features of the digitalized government services.