مجله پژوهش های مدیریت عمومی
پیاپی 19 (بهار 1392)

Positive organizational scholarship is the lastest movments at the third millennium. Accordingly،the phenomenon of Organizational Well-being (ow) is the base of positive thoughts in the dynamic organizational systems. This study seeks to answer this question that how is Conceptual model of organizational well-being in public sctor? This study is to describe the theoretical foundations of organizational well-being، Conceptualization organizational variables that affect on O. W. and testing model and hypotheses. The population study is 1853 employees and 23 contract staff employed in the management and administration office. Minimum sample size of 324 Were selected through stratified random sampling and for generalizability of results to the researchers، 15% of the 355 questionnaires were completed and added to it. The data for the analysis of structural equation modeling and path analysis through LISREL software was used. The results confirm the conceptual model of organizational variables identified as being in the process of formation.

Time and uncertainty in the strategic planning process play an important role. In today''s changing world، having a commensurate strategy with changing environmental conditions is very important and Classical approaches in strategy fomulation can’t to respond appropriate and quickly to needs of organizations In such a dynamic and uncertain environment. Fuzzy decision tree that is result of combining ID3 algorithm and fuzzy sets theory، provides a systematic model that Organizations can use it to response appropriate and quickly against changes in turbulent environments. Another advantage of this approach is Its ability to work with liguistic variables that resulted knowledge from it، has High understanding for human. This approach due to be fuzzy can to repel with uncertainty and by considering different states in database has appropriate reaction in dealing with environmental changes. this research، At first identify involved main attribute in the strategy fomulation and acts to creat the date base and decision tree with use of entropy calculating to be achieved rules base. Finally، to be fuzzy making inputs and outputs، fuzzy inference system offers precedences strategies.

Today’s، in competitive environment the role of managers of organizations and types of relationships with employees is very important to achieve organizational effectiveness. this study with base on agency and stewardship theories examining the impact of congruence CEO،s an board of directors` agency and stewardship viewpoint Organizational citizenship behavior. In this regards، 108 managerial team and 500 employees were selected as samples in food industry. Questionnaire was used for data gathering. In order to determine the mean of OCB difference in the three groups was employed by ANOVA and t-Tamhane test. The findings showed، agency Congruence in the attitudes of the executives and the DM has had a negative effect on the employees’ OCB، as opposed to stewardship Congruence. Furthermore، our findings revealed that there is no significant difference between the employees’ OCB in the two groups of companies، say agent-agent companies and agent-steward and steward-agent companies (agent executives and steward DM or vice versa). However; stewardship Congruence in the attitudes of the executives and the DM has had a positive effect on the employees’ OCB، as opposed to agency Congruence.

Development of information technology (IT) and the popularity of its use through electronic integrated systems in form of electronic cities (E-cities) is an undeniable opportunity. In order to implement E-city projects، key and critical areas should correctly be identified; because any failure in identifying these areas can be an obstacle to establish E-city. Key areas can be described as a set of critical success factors which will lead to satisfactory results. The aim of present study was to identify and rank critical success factors for establishment of electronic city. To do so، hypotheses derived from research theoretical framework were analyzed by T-student test، one-way within-subjects ANOVA test، and TOPSIS multi-criteria ranking technique، based on data which were obtained from IT professionals across the country. Results indicated that the five dimensions of E-organization، E-government، E-life، IT infrastructure، and context (content) factors are essential and critical in successful establishment of E-cities; and there was no significant difference in the extent of their role. But sequential order in components of these dimensions was important. Human resource، role of Senior Director، financial factors، structural factors، and organizational networks in E-organization dimension; e-citizen، connecting to the Internet، and development of e-commerce in E-life dimension; e-leadership، and e-services in E-government dimension are effective in successful establishment of E-city، respectively.

Ethics has an innate value and work ethic is a cultural norm. Work ethics encourage people to perform their jobs properly by giving a spiritual value to their performance. Work ethics impact on task performance and cause to conducting task more than commen conditions. With this in mind، the present article examines the impact of work ethics on withdrowal behavior. The research is descriptive-survey in method. The population comprised of 149 employees in University of Mohaghegh Ardabili. The data were analyzed by frequency distribution، percentage، Pearson correlation ‎test and regression analysis. The result showed a signification positive correlation between work ethics and task performance (R= 0/464). Based on the research results، suggestions have been made to increase task performance at organizations based on work ethics.

This study is a case study in order to optimize the current talent management process in POGC. Research methodology is mixed method (quantitative - qualitative) that was conducted in two phases. In the quantitative phase، by using a questionnaire and a random sampling method and sample size of 267 cases among all employees using Cochran formula، the gap between the current and desired state of talent management process was investigated. In the qualitative phase، semi-structured interviews with 24 of the managers whom were selected via purposive sampling were analyzed by means of content analysis for explanation and interpretation of the gaps in talent management aspects. The results of the quantitative data revealed that there were significant gaps between all the components of current talent management (identification، development، assessment and maintenance) and optimal state as well as talent management process، as a whole. Findings of qualitative content analysis revealed the dimensions of these gaps. Based on findings، in order to optimize the current talent management system and to remove these gaps and barriers، appropriate model and strategic recommendations have been proposed. These model will help the authorities to have a coherent framework to discover، develop، evaluate and maintain valuable human capital instead of repeating what are done in human resource management sector and thereby meet the challenges and needs are emerging.

Iran residential buildings are the major energy consumers of this country. Various factors which are effective on energy consumption behavior in residential buildings have converted energy consumption forecasting problem to a great challenge for the institutes of energy consumption optimization. Considering the energy management essence، the present study aimed at modeling، forecasting، and clustering of energy consumption in residential buildings، for energy labeling and auditing of the mentioned buildings. Therefore، in this research by combining Fuzzy Neural Network and AHP، using data obtained from questionnaires، energy consumption behavior of residential buildings has been clustered. AHP weights coefficients and architecture have been used as the initial weights coefficients and architecture of NN. In both modes of with and with out initial weights coefficients and architecture، NN was deployed with the same data. In order to NN training and testing، 270 residential buildings in the city of Shiraz were employed. Comparing the detecting and clustering power of the two mentioned FNN models indicate that FNN with initial weights coefficients and AHP architecture has more accuracy and speed of clustering and prediction compare to the other model.