درخت حوزه‌های تخصصی

Nowadays, information-making is growing rapidly due to the developments in technology; thus, it is critical to maintain information and establish integrated systems for storage and office automation in any organization; thereby, the establishment of datacenters has become a requirement for them. Despite offering models related to some parts of the data centers, there are still ambiguities in identifying the influential and key variables. This study aimed at offering a dynamic model for the parts related to the attractiveness of data center services by using Vensim software. Five reinforcing loops and seven balancing loops were extracted through studying the review of literature; then, the relevant stock and flow variables have been defined. Afterwards, the model is presented in the form of cause and effect model and the stock-flow model. Also, various scenarios have been studied, including increasing the training capacity and attractiveness, imposing an overload on the network and switch failure, upgrading the bandwidth carrying capacity, reducing the maximum maintenance. According to the results and sensitivity analysis done in this research, it can be said that the attractiveness of services, the acquired skills, and the maximum feasible maintenance along with the bandwidth carrying capacity, storage, and processing power of the data centers is so vital in determining the performance level of data centers and the attractiveness of services.

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.