درخت حوزه‌های تخصصی

The purpose of this study is to provide a comprehensive model for the assignment of unfinished construction projects with their economicization approach. This research was conducted qualitatively with the data theory of the foundation. For this purpose, a researcher with 26 experts and specialists in the fields of Management and Planning Organization, the Majlis Research Center and the provincial civil affairs department coordination that purposive sampling (snowball) were interviewed. The text of the interviews was uploaded in MAXQDA10 software and then open coded using the software. After extracting the codes, the main categories were extracted using axial coding. Then, by discovering the relationship between the central categories, and then by performing selective coding and identifying the central category, the desired model based on data theory is presented as a paradigm. The results of data analysis in the form of a template are: Underlying conditions (classification of unfinished construction projects, their economization and assignment of unfinished construction projects), causal conditions (the first step is to control and limit the approval of new projects, the next step is to classify and present a schedule, economic For all incomplete development projects and transfers based on the existing legal instruments of transfers and participation), intervention conditions (lack of proper use of the capacities of existing laws and failure to specify the general policy law of the forty-fourth principle in the transfer of projects, lack of Effective entry of the Privatization Organization due to the difficulties of assigning development projects to companies, lack of accurate information on development projects of state-owned companies and provincial projects, between the systemic nature of the issue and the unclear method of pricing projects), strategies (codification of legal prerequisites, preparation of regulations and systems related to the transfer, preparation of a list of the most probable cases of transferable projects, coordination of responsible bodies due to the inter-institutional nature of the issue and determination of prices through auctions, negotiations, etc. Depending on the application of each method) and the outcome (creating sufficient motivation for managers, operators and current stakeholders of projects and projects by creating a method of returning the saved resources from investment with the participation of the private sector, aggregation and refinement A set of relevant and effective regulations and the availability of all laws and regulations governing private sector investment in development projects, the dissemination of information on all projects in the electronic system and public access to all investable applications as well as contract terms and all subsequent contract developments. The entire duration of the construction, operation or transfer, full transparency of the transfer process to reduce rent-seeking behaviors and pave the way for private sector activity).  

Price is one of the most significant factors in competing in the retail market. This study aims to present the interpretive-structural modeling of elements affecting store price image, considering local and situational variables. Having analyzed KIOSERT analysis and been sure of accuracy in variables choice, the interpretive-structural modeling was used at the level of categories. The outcome of interpretive-structural modeling was a two-level model, in which the first one consisted of ‘services’, ‘enthralling factors’, ‘store factors’, and ‘social responsibility’, and in the second level, the variables consisted of ‘competitors’, ‘buyer factors’, ‘price and promotions’, and ‘sale policies’. In addition to the mentioned model, another finding of the study is depicting driving-dependency power, in which research variables are divided into four groups: autonomous, dependent, independent, and linkage. Accordingly, the ‘competitors’, ‘buyer factors,’ ‘price and promotions’, ‘sale policies’, ‘enthralling factors’, ‘store factors’, and ‘social responsibility’ belong to linkage variables and ‘service’ variable, by itself, belong to independent variables.