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Basically, the progressing society without the presence and existence of specialized work resources with strong tendencies towards ethics and professional principles in the work environment will not be able to achieve its lofty goals and experience development and growth in various economic, political and cultural sectors. Based on this, the current research aims to provide a model of professionalism in the system Iran administration was done. The current research is a qualitative research method. Research in terms of the result of the component It is developmental-applied research that the statistical population of this research is 25 elite people identified in the University of Medical Sciences They were from Shiraz, who were interviewed who had at least 10 years of experience and had a master's degree and a doctorate and the snowball sampling continued until the opinions of these experts reached the point of theoretical saturation and direction Conducting research after designing the general questions and formulating the interview process, conducting in-depth interviews with experts became. The data collected in this research were combined using thematic analysis technique. To review the validity of the research findings was presented to the participants and the text of the theory was studied by them and their points of view were applied at the end of this research, it was studied and reviewed by the professors, and some points were made to modify or change the final theory became. Reliability of data by showing the path of researchers' decisions and also placing all the raw data of the analysis done, the codes, categories, the process of studying the primary goals and questions were given to the academic professors and the desired corrections applied. In order to analyze the data, schematic analysis and data base theory were used. In the presented model, and social accountability as causal factors, organizational conditions as background factors, requirements and necessity environmental factors as intervening factors. In addition, with strategies such as creating open doors for dialogue Knowledge and convergence of actions with professionalism can lead to consequences such as social, financial and behavioral functional results Clients and employees found hands.

This article seeks to explain the functions of the development of the native Search Engine in the process of commercialization of services and the growth of businesses in the country by using the concept of innovation system and using a functional approach. To achieve this goal, a qualitative survey research method was used. The research community included academic and non-academic faculty members working on the native Search Engine project, and 17 of them were selected as a sample. The tool used in this research was a questionnaire, and comparative content analysis was used to analyze the data. To validate the obtained results, the focus group method was used, and for this purpose, 10 experts and specialists in the field of development of local producers were selected in the focus group. The findings of the research showed that the government has played a key role as the main driver in the formation of institutionalization and legalization functions, guiding and direction research and innovation, and providing and allocating resources in the first step of the road map of native search engine development. In the second step, the creation and dissemination of knowledge functions (supply side function), and in the third step, the functions of market formation and entrepreneurship have been activated in the direction of commercialization of native Search Engine (demand side function). The main problem of search engine development is the interaction among different functions.

Performance evaluation, as a tool to know the degree of success of organizations in achieving predetermined goals and a factor in managers' decisions, has been one of the constant needs of organizations. The purpose of this research is to identify performance evaluation indicators and explain the appropriate performance evaluation model in Macro government organizations such as Jam Petrochemical Company. This research is based on the purpose of applied research and also based on the research method with a mixed or combined approach with a sequential exploratory strategy. The required data were collected through qualitative research (interview) and quantitative research (questionnaire). In the quantitative part, the current research can be considered as a non-experimental (descriptive) type of research and a survey type. To analyze the data of the questionnaire, this research has been done in four phases, the first phase is to identify and rank the strengths and weaknesses of Jam Petrochemical Company, and the second phase is to use a Delphi test to identify indicators that are effective in evaluating the performance of Jam Petrochemical Company. The third phase is exploratory factor analysis and determining Dimensions of performance evaluation in Jam Petrochemical Company and finally the fourth phase of structural equations and path analysis. The results of the research showed that considering that the T-statistic for all variables is more significant than 1.96 and also considering the positiveness of the path coefficients, the variables (scientific observation, technology and technology, financial management, managers' responsibility, infrastructure management, management and leadership and human resources) are among the factors that make up the performance evaluation system in Jam Petrochemical Company.

This work serves to propose a national electronic health system based on the Big Data approach. First of all, we assessed the practice of health information systems (HIS) in Morocco and their obstacles. We performed a survey that was founded on 24 questions to specify the necessary details on this topic. This study shows that there is a primary need for the establishment of an HIS that facilitates the control, analysis, and management of health data in Morocco. For this reason, we have proposed the implementation of the Moroccan Health Data Bank (MHDB). This system will be based on powerful big data technologies that save, manage, and process health data with greater efficiency. The information present in this proposed system can provide the necessary resources for several actors to exploit this wealth, which is embodied in this massive data. We have developed a general description of the MHDB, its components, its conceptual architecture, and an example of a use case.

Heart failure is a severe medical ailment that significantly impacts patients’ well-being and the healthcare system. For improved results, early detection and immediate treatment are essential. This work aims to develop and evaluate predictive models by applying sophisticated ensemble learning techniques. In order to forecast heart failure, we used a clinical dataset from Kaggle. We used the well-known ensemble techniques of bagging and random forest (RF) to create our models. With a predicted accuracy of 82.74%, the RF technique, renowned for its versatility and capacity to handle complex data linkages, fared well. The bagging technique, which employs several models and bootstrapped samples, also demonstrated a noteworthy accuracy of 83.98%. The proposed model achieved an accuracy of 90.54%. These results emphasize the value of group learning in predicting cardiac failure. The area under the ROC curve (AUC) was another metric to assess the model’s discriminative ability, and our model achieved 94% AUC. This study dramatically improves the prognostic modeling for heart failure. The findings have extensive implications for clinical practice and healthcare systems and offer a valuable tool for early detection and intervention in cases of heart failure.

The present research examines the benefits of implementing knowledge management (KM) principles in the Jordanian banking sector to enhance performance. The study emphasizes the significance of Artificial Intelligence (AI) and how Jordanian banks utilize it to improve the quality of customer service they provide. This study targets managers at all levels and focuses on the Jordanian banking sector as its research environment. A questionnaire is created to gather information from a random sample to achieve the research's objectives. The study involves a sample of 250 managers. Additionally, the research adopts a descriptive methodology, and SPSS is used to analyze the data. The statistical findings provide robust evidence for the importance of performance expectations, social influence, and perceived risk in influencing consumer intentions. Marketers and decision-makers within the banking industry can leverage these insights to shape their long-term strategies for effectively utilizing and maximizing AI technology in the banking sector. Furthermore, by providing policymakers and practitioners of Jordanian commercial banks with insight into the variables influencing user satisfaction, the findings will help these complex institutions operate more effectively.

This study investigates the relationship between the user interface and problem-solving towards the continuous intention to use the services. New products or services will always face tough challenges for the customer, especially when the new procedures require them to learn and change some behaviors. Chatbots are also facing the same situation in Malaysia, where customers refuse to accept using chatbots to represent their physical presence. To understand customer behaviors, a quantitative survey was designed. Four hundred twenty-two data were collected from the online survey method. As per the results, the predictors of chatbot continuous intention are user interface and problem-solving. Apart from that, this study also measures the role of mediator, namely trust and customer satisfaction. This study contributes to unique academic and practical insights that can be used to explore the effectiveness of chatbots. The results revealed that both predictors were significant towards the continuous intentions. Besides, the role of the mediator was found to be significant and relevant in the relationship between trust and customer satisfaction and customer satisfaction and trust towards continuous attention.