Entrepreneurial Orientation (EO) emphasizes the identification and exploitation of business opportunities, while entrepreneurial action learning (EAL) underscores the acquisition of knowledge through practical experience and continuous improvement. Breakthroughs in both aspects contribute to maintaining flexibility, adapting to changes, and enabling success in competitive markets. The key to the development of small and medium-sized enterprises (SMEs) lies in a clear Entrepreneurial Orientation, a focus on Entrepreneurial Action Learning, and the cultivation of innovation spirit through continuous practice and experience accumulation, thereby enhancing entrepreneurial performance (EP). This study aims to explore the impact of Entrepreneurial Orientation on the Entrepreneurial Performance of SMEs, clarify the mediating role of Entrepreneurial Action Learning between Entrepreneurial Orientation and Entrepreneurial Performance, and investigate the variability of Entrepreneurial Performance among different industries. By means of data collection from 598 SMEs, data analysis was conducted using Structural Equation Modeling (SEM) and Analysis of Variance (ANOVA). The analysis results indicate that entrepreneurial orientation has a positive impact on entrepreneurial action learning and entrepreneurial performance, and entrepreneurial action learning has a positive impact on entrepreneurial performance. The study also found that entrepreneurial action learning partially mediates the relationship between entrepreneurial orientation and entrepreneurial performance. There are certain differences in entrepreneurial performance among different industries. This study enriches the relevant literature in the field of entrepreneurship. Additionally, research on entrepreneurial orientation, entrepreneurial action learning, and entrepreneurial performance in specific regional contexts is very limited, making this study valuable for subsequent research in related areas.

The research aims to investigate the prospective implications of Artificial Intelligence (AI) on traditional media, and to elucidate the conceptualization of AI within the discourse of media professionals, governmental and private media stakeholders in Jordan, alongside media scholars and IT experts. Employing the focus group method, a specialized interview tool distinguished by its purpose, design, and procedures, two distinct cohorts were engaged: media practitioners and officials on one hand, and academics and experts on the other. The investigation revealed the absence of a universally agreed upon terminology concerning AI, attributable to its nascent nature and rapid evolution. Notably, AI, leveraging its diverse and highly proficient tools, demonstrates significant potential for transformative impacts across various facets of the media landscape. These encompass the facilitation of exceptional content production, the empowerment of journalists to express their creative capacities, and substantial reductions in time, labor, and procedural overheads in media product development. Concurrently, the integration of AI within media environments is anticipated to pose formidable challenges to existing institutional frameworks. Additionally, the imperative of curriculum development in academic institutions, both public and private, is underscored to acquaint students with AI methodologies.

The purpose of this research was to investigate the influence of innovative organizational culture on innovativeness through human resource management and the innovative skills of personnel. The population of this study comprised small and medium enterprises (SMEs) in Thailand from both the manufacturing and service sectors. Purposive sampling was employed to gather information from entrepreneurs, executives, or department managers of SMEs through an online questionnaire distributed via email, obtaining a total of 440 responses. Data were analyzed using descriptive statistics and structural equation models (SEM) for hypothesis testing. The results indicated that SMEs in this context had a moderate level of innovative organizational culture, human resource management, innovative skills, and innovativeness. Moreover, the structural equation model was consistent with the empirical data, revealing that innovative organizational culture has a direct influence on innovativeness. Furthermore, human resource management and the innovative skills of personnel were found to be partial mediators in the relationship between innovative organizational culture and innovativeness. The indirect effect through these two variables was greater than the direct effect. These findings confirmed the relationship between innovative organizational culture, human resource management, innovative skills, and innovativeness among SMEs in Thailand, leading to guidelines for businesses to improve their innovativeness.

Mediating role of artificial intelligence in the relationship between higher education quality and scientific research ethics among faculty members: A Study in carrying out the study, specific research objectives were derived, and based on the derived objectives, null hypotheses were formulated and tested for the study. This study, thus, employed survey research design. This study’s population comprised postgraduate students from Middle Eastern University, Jordan, with 1200 students. Using the population, a sample size of 291 respondents was selected based on Krecie and Morgan The students in the sample completed Google Forms questionnaires. The data were statistically processed, and the analysis’s most significant level was 0.25. The research questions were analyzed using descriptive statistics, and the null hypothesis was tested using Pearson Product Moment Correlational Analysis (PPMC). Also, the study showed a significant relationship between artificial intelligence and the quality of higher education and the relationship of significance between artificial intelligence and ethics in scientific research. The researcher suggested a need for ongoing education, cross-discipline cooperation, and the development of solid ethical frameworks for the integration ethics of AI academia.

During his 22-year rule, Turkey’s populist leader Erdoğan not only ensured his control of mainstream media ownership, but he also aligned the language and style of these media with his own populist politics. This investigation presents a unique perspective by highlighting the AKP’s establishment of a network of loyal media outlets and business individuals through crony capitalism while also demonstrating that the party garnered loyalty from religious foundations, and the urban poor due to the aid and financial support provided by AKP municipalities. The primary objective of this research is to offer a distinct scholarly contribution by analyzing the influence of crony capitalism and welfare policies within the context of populist politics. This study employed a methodology centered around network graphs designed to reveal connections between the AKP, various media outlets, and associations and foundations, thereby highlighting the AKP’s association with key actors involved in the establishment of a neoliberal-conservative hegemony.