Showing 2 results for Management Performance
Aliakbar Salaripour, Benyamin Hasanzadeh Baghi, Amirhossein Nourbakhsh, Zahra Seif Reyhani,
Volume 0, Issue 0 (3-1921)
Abstract
In today's world, due to the pervasiveness of the Internet and electronic information, one of the tasks of urban management is to improve the quality of life of citizens, their access, and the optimal use of urban electronic services. These services can help improve the geographical situation of the city due to reducing the need for physical movement of citizens, reducing
traffic and pollution and increasing access to services.
However, if the urban management fails to use and implement this type of service properly, there will be a negative attitude towards e-services for citizens. The purpose of this research is to evaluate the impact of urban management performance on the quality of life and the behavioral intention to use urban electronic services with an emphasis on citizen satisfaction in Mashhad metropolis. In this research, through library studies, literature review and previous researches, 67 indicators (items) have been extracted and categorized in the form of 19 components. After calculating the statistical sample size of the research through Cochran's formula, 478 questionnaires were distributed among the citizens of Mashhad. Finally, the components were evaluated using structural equation modeling with partial in Smart PLS3 software. Findings indicate that the citizens of Mashhad are moderately satisfied with the components and study subjects. The results obtained from structural equations show that The "Communications" component with a path coefficient of 0.87 affects the performance of urban management and the "Work facilitation" component with a path coefficient of 0.841 affects citizens' satisfaction with electronic services. The performance of urban management with a path coefficient of 0.717 affects the citizens' satisfaction with electronic services. Also, these two factors affect the quality of life with 0.58 and 0.252, respectively, and satisfaction with electronic services affects behavioral intention with 0.757. The urban management of Mashhad can pay attention to the results obtained from this research to achieve a city with desirable and satisfactory electronic services.
Mr Masoud Safari Aliakbari,
Volume 0, Issue 0 (3-1921)
Abstract
In the current situation, artificial intelligence can improve rural management performance through optimizing resource use, predicting environmental changes, and making intelligent decisions.The aim of the present study is to investigating the impact of artificial intelligence on rural management performance with the mediating role of environmental dynamics in rural areas of Kermanshah county. This research is descriptive in terms of method, applied-practical in terms of purpose, and correlational in terms of nature. The statistical population includes 1300 village heads and council members in the villages of Kermanshah city. The sample size using the Morgan table is 297 people and the sampling method is simple random. The research tools include standard questionnaires for artificial intelligence from Carl Albrecht (2003) with 21 items, for measuring environmental dynamics, the Vera and Crossan questionnaire (2009) with 5 items, and for measuring performance, the Patterson questionnaire (1970) with 15 questions. The validity was confirmed by face, content and construct methods and the reliability was confirmed by Cronbach's alpha at 0.861. The collected data were analyzed based on structural equation path analysis in PLS software. The results showed that artificial intelligence had a positive and significant effect on rural management performance with an impact coefficient of 0.889 and a T value of 217.42, artificial intelligence had a positive and significant effect on environmental dynamics with an impact coefficient of 0.876 and a T value of 0.044, and environmental dynamics had a positive and significant effect on rural management performance with an impact coefficient of 0.273 and a T value of 4.938. Also, the results of the Sobel test showed that artificial intelligence had an effect on rural management performance with a mediating role of environmental dynamics with a T value of 9.361. Therefore, artificial intelligence can play a very important role in rural management performance, especially in optimizing resources, improving public services, environmental management and increasing agricultural productivity.
