درخت حوزه‌های تخصصی

The condition of the hotel's competitiveness is a strong brand. The introduction of digital marketing in the strategy of hotel branding creates new opportunities for hotels when interacting with guests through digital channels. The purpose of this study is to develop theoretical and practical measures to improve the effectiveness of marketing strategies in hotel branding using digital tools. To achieve the goal of the study was conducted research on targeted branding some of the largest hotel chains. The results of the analysis showed that in the process of branding at each stage the corresponding goals have achieved by means of advertising, marketing, public relations management, personnel selection, corporate culture.This study substantiates the main tools of the strategy of the Digital Marketing and Sales. The brands need to constantly monitor changes in market positions and audience sentiment using all the features and channels. The priorities should be implemented by performing key tasks, in particular such astimely measurements as far as brand experience has a positive effect on customer satisfaction and loyalty.

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.

Due to enchantment in network technology, the worldwide numbers of internet users are growing rapidly. Most of the internet users are using online purchasing from various sites. Due to new online shopping trends over the internet, the seller needs to predict the online customer’s choice. This field is a new area of research for machine learning researchers. A random forest (RF) machine learning method is a widely used classification method. It is mainly based on an ensemble of a single decision tree. Online e-commerce websites accumulate a massive quantity of data in large dimensions. A Random Forest is an efficient filter in high-dimensional data to reliably classify consumer behaviour factors. This research article mainly proposed an extension of the Random Forest classifier named “Weighted Random Forests” (wRF), which incorporates tree-level weights to provide much more accurate trees throughout the calculation as well as an assessment of vector relevance. The weighted random forest algorithm incorporates the C4.5 method named a “Hybrid Weighted Random Forest” (HWRF) to forecast online consumer purchasing behaviour. The experimental results influence the quality of the proposed method in the prediction of the behaviour of online buying customers over existing methods.