نمایش همه 2 نتیجه
Investigating a framework to facilitate the implementation of city development strategy using balanced scorecard
This paper examinesرایگان!
This paper examines a framework for facilitating the implementation of City Development Strategy (CDS). Two facets of this framework are explored; factors deduced from previous CDS experiences as having an influence on strategy implementation, and the balanced scorecard (BSC), which is a method commonly used to bridge the gap between strategy formulation and implementation. A questionnaire survey was administered to collect data from stakeholders in the CDS planning process. Partial least squares-structural equation modeling (PLS-SEM) was employed for data analysis. The results of the structural model indicated that stakeholders, financial management, institutionalization, capacity building, and leadership have significant positive effects on CDS implementation. The findings also revealed a significant causal relationship between the factors adopted from the BSC model. This study contributes to the CDS implementation literature by examining the impact of stakeholders, financial management, institutionalization, capacity building, and leadership on future CDS implementation. On a more practical level, these findings contribute to the expanding body of knowledge concerning how to implement CDS successfully in the Iranian context.
The Impacts of Globalization on Rural Communities of Kermanshah Township, Iran
Globalization, as aرایگان!
Globalization, as a process, analyzed in consideration of communicative instruments, development possibilities, and the expanded nature of capitalism. The purpose of this study was to investigate impacts of globalization on economical and cultural aspects of rural communities in Kermanshah Township. The study represented correlation research. The statistical population of this research was selected among 700 villages located in Kermanshah Township. Among these, 30 villages were selected in three different regions for gathering data by multi-stage sampling. For data analysis multivariate procedures were used. This research examined eight factors of agro-industrialization, increasing in poverty and inequality, change in employment patterns, economic restructuring, role of nation-state, role of media, cultural universalism, cultural particularize and their impacts on rural communities progress. The results showed that there was a significant correlation between independent and dependent variables (p<0.01). On the base of regression analysis independent variables can be predicted 62 percent of changes in dependent variable. Structural Equation Modeling (SEM) certificated regression analysis results. Path analysis results showed that the model fitted the data with acceptable fit indices: chi square=5.341, p=0.376, RMSEA=0.013, CFI=1.000, NFI=0.992.