درخت حوزه‌های تخصصی

By producing the paradigm of creative tourism, the knowledge increasing discipline of tourism invites tourists to visit and interact with the unique and live culture of societies instead of just sightseeing in museums and ancient monuments. In this paradigm, tourists engage all of their senses in the creation of their unique experience and improving their relations with local people from seller/buyer to a master/apprentice level. Not only the cultural capital but also the social capital would be increased from this interaction. The main goal of this research is to show that, contrary to what appears at first, the creative domain of gastronomy is a spiritual one and flourishing local communities and creative tourism based on this paradigm can evolve the wellbeing and material life of inhabitants and tourists as well. Moreover, this includes significant spiritual endowments both for guests and hosts in the creative gastronomic destinations. Creative tourism based on gastronomy regards new looks to local communities as the first step in creating unique and added value experiences including economic, human, and social values. In creative tourism, locals and tourists will open their eyes on the destination in completely new ways, so that they could see better in creating new and valuable experiences. This definition is closely related to the Quranic command of “The man must consider what he eats”. In this research, using thematic analysis and Delphi method, it is shown that the components of spiritual perception have significant overlaps with the components of gastronomic creative tourism. Factors such as “comfort and satisfaction”, “Giving meaning to life”, “interaction with others”, “friendship with nature and environment”, and “surrender and thanksgiving “, as the components of the spiritual understanding, showed common and undeniable spaces with the components of creative tourism. These components include “authentic experiences “, “active participation “, “learning”, “self-esteem and self-awareness”, “new products and processes”, and “new spaces”. Based on our results, each of these components has their own proprietary domains and non-negligible common spaces, and even in some cases are subsets of each other.

The emergence of new issues and complexity of them, involve formulating and implementing intelligent policies in government. Therefore, the concept of ”policy capacity” has been emerged in different dimensions of governance. Promoting the policy-making capacity of government, means the ability of government in identification of issues, formulating of high quality and convenience policies and coordinating of policymaking process. In this regards, This Research is going to design a model to explore the different elements of policymaking capacity in government. Therefore, drawing upon mixed method design, in the first step by using semi-structured interview, many data was collect and in a recursive way, the core categories of policymaking capacity extracted and named. According to model, the institutional factors, policy-making infrastructure, policymaking capability, and interaction with environment, recognized as a causal condition for policymaking capacity. In addition, in our grounded theory model, the category of good policymaking considered as a strategy for core category (policymaking capacity). In addition, the intervening variables and contextual conditions in implementing good policymaking strategy in government extracted and named. The categories of organizational and managerial capacity along with extra role capacity of policy maker constitute the intervening condition of government. Contextual conditions that influence in good policymaking strategy were named in five categories of international, social, political, economic, and technological conditions. Finally, the consequences of implementing good policy making in government were named in three categories of governmental consequence, national consequence and policy maker consequence. In the second phase of the research, all parts of the policy making capacity theory, using structural equation model were tested in AMOS graph 18. Research Results Show Significance of Measurement and Structural Models at the 0.95 Confidence Level .