Identification, Evaluation and Ranking of the key Factors to Contribute to the Implementation of Electronic Municipality

Electronic municipality, as a modern approach in international civil management, has a potential application in any town and it provides the citizens with its unique services in the areas of municipality responsibilities. In addition, these services could be 24?hour and without any place limitation. The aim of this research is identification, evaluation, and ranking of the key factors to contribute to the implementation of electronic municipality (a case study in Rasht municipality, Iran). According to the eminent models in acceptance technology, four influential independent factors including tendency to use, ease of use, expected operation, and e?readiness, called variables, have been extracted. All experts and managers of Rasht municipality constitute the statistical population of this study. The means of research in this study is a random questionnaire based on a standard questionnaire from technology acceptance model. This questionnaire was presented to the participants after confirming its reliability and validity. The obtained results show that there is a significant linear relationship between every independent variable of the study and the implementation of electronic municipality (p<0.01). The greatest proportions of implementing electronic municipality in Rasht are devoted to the tendency to use and the ease of use, respectively. Furthermore, the variable of information technology management affects the relationships between independent variables and variables of implementing electronic municipality. Meanwhile, there is a significant difference between implementation of electronic municipality in good or bad situations of Information Technology management (p<0.05) which indicates that the variable of Information Technology management influences the effect of independent variables in this study. Finally, with respect to the effect of it on the implementation of electronic municipality, ranking of the key factors has been suggested to be as follows: the greatest effect belongs to the tendency to use, and the ease of use get the second rank

technology acceptance, tendency to use, ease of use, expected operation, e?readiness