درخت حوزه‌های تخصصی

This study aims to investigate the factors influencing the formation of organic services marketing in the tourism industry. According to the research conducted by the researcher, organic services are a new definition in the service industry. Organic services should represent high quality and health, just as organic products do. This research was conducted using a mixed qualitative and quantitative approach. The grounded theory was used in the qualitative part, through which the concepts and categories were identified in three stages of open, axial, and selective coding. Data were collected using in-depth and semi-structured interviews. The snowball sampling was used, reaching saturation with a total of 13 experts in the ecotourism and nature tourism industry. Five subcategories of influencing factors on the axial phenomenon were obtained from the qualitative method. The axial phenomenon had four subcategories itself. The results obtained from the qualitative part were examined using the quantitative method of structural equations. All five causal factors (climatic attractiveness and novelty, abundance of traditional and rural houses, experience of silence and peace, enjoyment and experience of health tourism, and people companionship and synergy of tourism) affected the axial phenomenon of the tourism industry significantly and positively.

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).