What Are the Attractiveness Factors That Influence the Choice of a Tourist Destination A Study of Brazilian Tourist Consumer

This paper results from an exploratory investigation regarding the tourist consumer behavior identifying which attractiveness factors from tourist destination define tourist consumer capacity and have importance in his choice In this investigation, a model elaborated based on a detailed situational analysis considering different aspects related with offering and demand that compose the tourist activity dimensions, such as infra structure, tourism potential, geographical factors, climate, economy, cultural and environmental resources public policies and sustainability was adopted. The competitive environment also was analyzed, once tourists have different destinations to their disposal which is attracted for destinations that offer optimum value and the greatest number of benefits. To reach the proposed objectives, an exploratory research through in depth personal interviews with 20 individuals was carried on using snow ball technique aims to identify the possible factors of attractiveness and related degree of importance of each of these possible factors in the tourist consumer behavior. After that, a confirmatory research was conducted with 150 individuals. The sampling process was done using convenience sample and data which were collected between November and December, 2009, through direct proportionally survey divided between man and woman

Evolutionary dynamics analysis of complex network with fusion nodes and overlap edges

Multiple complex networks, each with different properties and mutually fused, have the problems that the evolving process is time varying and non-equilibrium, network structures are layered and interlacing, and evolving characteristics are difficult to be measured. On that account, a dynamic evolving model of complex network with fusion nodes and overlap edges（CNFNOEs） is proposed. Firstly, we define some related concepts of CNFNOEs, and analyze the conversion process of fusion relationship and hierarchy relationship. According to the property difference of various nodes and edges, fusion nodes and overlap edges are subsequently split, and then the CNFNOEs is transformed to interlacing layered complex networks（ILCN）. Secondly,the node degree saturation and attraction factors are defined. On that basis, the evolution algorithm and the local world evolution model for ILCN are put forward. Moreover, four typical situations of nodes evolution are discussed, and the degree distribution law during evolution is analyzed by means of the mean field method.Numerical simulation results show that nodes unreached degree saturation follow the exponential distribution with an error of no more than 6%; nodes reached degree saturation follow the distribution of their connection capacities with an error of no more than 3%; network weaving coefficients have a positive correlation with the highest probability of new node and initial number of connected edges. The results have verified the feasibility and effectiveness of the model, which provides a new idea and method for exploring CNFNOE＇s evolving process and law. Also, the model has good application prospects in structure and dynamics research of transportation network, communication network, social contact network,etc.

Factors Affecting International Students’Decisions on Destination for Studying Abroad:A Case Study in China

This qualitative study explores how to better attract international students as perceived from the viewpoints of both international students and university administrators.The 7Ps marketing mix conceptual framework and thematic analysis were utilized to analyze qualitative data solicited from both focus group discussions involving 75 international students and in-depth interviews with four administrators at two public universities in Yunnan province,China.The results indicate that two factors mainly affect students’decisions on an international education destination:geographical location(Place)and cost of study(Price).Furthermore,the study recommends applying the 7Ps as a totality in university recruitment practices.