فصلنامه فرایند مدیریت و توسعه
سال سی‌ام شماره 4 (پیاپی 102، زمستان 1396)

Today, using a solution that can enhance safety and improve traffic on roads at reasonable costs and without the need for increased transportation infrastructures has come to the attention of transportation experts. To reach this end, they have shown interest in intelligent transportation systems (ITS). The purpose of the study is to help the management of road safety and, in particular, the management of intelligent transportation systems by locating and determining the main indicators for installing components of such systems. This research intends to find ways to improve safety and transportation in Iran’s roads by prioritizing the roads to be equipped with intelligent transportation systems, applying experts’ opinion and utilizing such methods as elphi,
ANP network analysis, DEMETL and TOPSIS. Finally, based on the acquired criteria like total number of accidents, fatal and non-fatal crashes resulted from speed and traffic flow rate, the prioritization of the roads under study in Ardebil province is presented.

Policy networks consist of state and social actors whose interactions lead to the formulation and/or implementation of policies. One of the characteristics of networks is that power is usually distributed and lies in the relationships among actors. Therefore, network accountability can be problematic. The purpose of this study is to form a theoretical framework for accountability in public policy making networks. The qualitative method of grounded theory was applied. Statistical population consisted of experts who had sufficient knowledge and practical experience in policy making; interviews were conducted with fifteen of such experts. Findings indicate that, after developing policy networks, it is necessary to design both individual and collective accountability mechanisms for policy networks. Findings also show that state capacity building, citizens' demand, and civil society pressure are among the factors which affect the establishment of accountability in policy networks. If public policy networks are held accountable, an increase in the quality of the public policy process, enhanced social vitality and political excellence in the community will follow.

This study scrutinize the interaction of politics - administration in Iran, as studied in the tenth government (2009-2013) has, and by analyzing the theme of semi-structured interviews with 25 political parliamentary choices, general executives in the executive branch and those who have both experienced the role. Participants are selected using the snowball method achieved unique results. The results of this study showed that the relationship between politics and administration in Iran is in a special situation (policy-office chaos) which is not mentioned in the Svara matrix model. While political choices interfere with the interventions in deportations and allocations and the distribution of general welfare in the professionalism of the department, And public administrators intervene in politics interfering with the process of decoding and adopting general policy and non-implementation, or the interpretation and implementation of self-constructed policies or obsolete policies. That this contributed to the politicization of public administration and policy inefficiency in Iran.

The phenomenon of global warming provoked green approach among top managers. Environmental problems caused by human activities have stimulated measures to prevent further damages to the environment; the green approach is among the most important ones. Today, the importance of green management, apart from its benefits in preserving and protecting the environment, is considered as a competitive advantage for organizations that are concerned with improving their name and position. In this regard, the evaluation of green management measures as the primary step in this process has attracted the attention of many researchers. In this research, we intend to provide an appropriate prioritization of these measures, using a survey approach and a combination of ANP and ARAS decision-making techniques. First, the relevant dimensions and indicators were identified by a thorough study of the research literature. Subsequently, with the help of experts, relevant questionnaires were prepared and applied. By collecting data and performing the analysis with the help of the above two techniques, the optimization of water and energy consumption was selected as the best alternative.

The present study aims at introducing a model to help women entrepreneurs succeed in small businesses. The approach of the present research is qualitative and exploratory interviews were used to design the model of theme analysis and collect data. The statistical population consisted of women who worked in small businesses. Considering the importance of the research topic, chip sampling (snowball) technique was used and a sample size of 23 subjects was taken for interviews. Results indicate that factors such as needs defining, opportunity seeking, deep belief, self-confidence, commitment, risk taking, perseverance, financing, training, social relationships, strategy, creativity, innovation and autonomy are effective for a successful and timely business start-up. Also, the factors were explained and linked to establish three categories of ‘entrepreneurial culture’, ‘entrepreneurial capacity’ and ‘innovative partnership’ and consequently the research model was defined.

This research aims to identify the facilitating factors of learning transfer in NIGC, using a mixed research method. In the qualitative phase, 16 experts of NIGC and university faculty members were selected as the research sample. In the qualitative phase, survey research method was applied and a sample of 376 subjects was selected based on Cochran formula. In order to analyze the qualitative data and to validate the proposed model, thematic analysis technique and Structural Equation Modeling (PLS) approach were utilized consecutively. To collect data in the qualitative step, semi-structured interviews, and in quantitative step, researcher-made questionnaires were used. In the qualitative step, the results of thematic analysis indicate that organizational facilitating factors of learning transfer include climate, culture, support, outcomes, organizational justice, performance management, characteristics of direct manager, participation in decision-making, learner’s environment, application opportunity, and job and job-holder match. Also, inferential tests indicate that NIGC employees assessed all organizational factors of learning transfer, excluding performance management, higher than average. The results of confirmatory factor analysis indicate that all observable and latent variables bear a factor value higher than 0.70 over their corresponding latent variable and they are confirmed at the level of 0.01. The results of structural part of the model show that organizational factors can determine 0.599 of the learning transfer. Finally, the results of Goodness of Fit Index (GOF) represents strong performance of proposed model of learning transfer.