Entrepreneurial universities can be considered a new topic that needs greater attention. Many researchers believe that universities can and must have a more important cultural and economic impact. This study seeks to develop and analyze entrepreneurial universities profile using entrepreneurial orientations in order to define an integrative process for entrepreneurial universities. This involves identifying dimensions, mechanisms, and steps for entrepreneurial universities as well as establishing a strategy and plans for universities such as Qassim University or the College of Business and Economics (CBE). To achieve this objective, this study adopted a quantitative approach based on a questionnaire. Data was collected from 210 respondents who were practitioners and academics to discover the effect of the influential factors and entrepreneurial university orientation on the entrepreneurship and innovativeness indexes. The collected data was analyzed using AMOS 24- SEM with a moderating effect. The findings revealed that CBE, in line with strategic planning and the importance of entrepreneurship in Vision 2030, tended towards developing an entrepreneurial orientation and inte-grated some good practices for the integrative process for entrepreneurial universities (IPEU). The main contribution of this paper was the identification of a path diagram and adequate practices for achieving entrepreneurial university standards. Overall, the findings explicate the importance of this step in terms of cultural, economic, and social impacts. If the findings of this study are tenaciously implemented, this may help Qassim University move towards a higher level of excellence and competitiveness based on entrepreneurship actions. Entrepreneurial university orientation seems to be important for the development of this process. In other words, to become entrepreneurial we must, in the first step, integrate this new approach to determine how to use resources and factors.

Can artificial intelligence networks promote extremism awareness through social intelligence and emotional intelligence? This research contributes to this question in the context of Saudi Arabia. This study defines a model of a cooperative process through an artificial intelligence network, based on knowledge exchange, to generate a high level of extremism awareness and social intelligence. Four main variables were adopted, developed, defined, and measured: artificial intelligence networks, social intelligence, emotional intelligence, and extremism awareness. We fixed attributes for contextualized interactions through a network platform, between professionals and non-professionals, against extremism. The application of artificial intelligence in such platforms lets members share reliable information to combat extremism more effectively. The findings demonstrate that network centrality, network scale, relationship strengths, relationship stability, and reciprocity developed through artificial intelligence networks stimulate extremism awareness by developing social awareness. Emotional intelligence also seems to be important. It moderates the link between platform users and extremism awareness. It facilitates situational and contextual awareness to define appropriate behavior.