Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
This study aims at investigating the linkage between total quality management (TQM), perceived service quality (PSQ), as well as their impact on the patient satisfaction (PS) and behavior intentions (BIs) among Palestinian healthcare organizations.Drawing on a survey, results clearly indicated that TQM significantly affects PSQ and PS; PSQ positively influence PS and BIs and BIs are influenced positively by PS. Moreover, the positive link between PSQ and BIs is mediated by PS. A final model was developed that shows that both TQM and PSQ directly influence PS and BIs. On the basis of the results of this study, hospital managers are suggested to design management strategies that are more patient-centred and emphasize on technical as well as functional capabilities of the service providers in order to live up to the client’s expectations. The noteworthy contributions of this study, to the relevant literature, are the establishment of the direct effect of PSQ on BIs of customers and the confirmation of the mediating effect of PS on the positive link between PSQ and BIs. These findings are deemed significant in strategic planning leading to better customer satisfaction
The article deals with the degree of confidence in artificial intelligence (AI) in the evaluation of human potential on the labor market in Russian regions. The author's team analyzed the respondents' attitude to the evaluation of the qualities of a candidate for a job and the process of recruitment, identified the most comfortable method of evaluating the potential, and determined the possibility of revealing talent by a person and AI. In the article the nature of evaluation of hard skills and soft skills from the standpoint of a person and AI is considered for the first time. In the course of the research it was found out that the degree of confidence of AI in the evaluation of human potential on the labor market is not the same and depends on the age of the respondent, the nature of the evaluation index and experience in using AI. The lower the age of respondents, the higher the degree of AI confidence in evaluation of human qualities, especially hard skills. The main advantage of the article is the identification of the problem of evaluating human potential in the human-AI system. The obtained results can help develop views on the nature of AI application in evaluation of human potential in the labor market
