Electronic satisfaction in tourism industry

Technology had a great impact on different industries. Tourism is not exempted from that. Several firms have offered their tourism services on-line and claim that they offer better services comparing with traditional travel agencies. But what is important is the perception of their customers. In this research different determinants of tourists' satisfaction in on-line tourism will be investigated. Then this study will show how much e-tourism could satisfy tourists in each of mentioned factors comparing with the traditional travel agencies. The data collection strategy of this research was Survey, and data collection methods were both interview and mainly questionnaire. First of all the literature was reviewed in order to find a suitable model. A model named e-satisfaction was found. This model has five factors which are important in satisfaction of customers while they are purchasing on-line. In order to customize this model for e-tourism several phases were implemented. First it was required that different items get gathered for each determinant factor as questions in the questionnaire. In this phase interviews were conducted with experts in tourism and people who had experienced e-tourism before. Also different items were extracted from questionnaires in the literature of tourism and satisfaction. By this task E-satisfaction model (szymensky, Hise, 2000) was adjusted with tourism context. The questionnaire was made at this stage. Finally the data was analyzed by SPSS 13 and Factor analysis method was used. This research yields rich insights for managers of e-tourism firms, by introducing the factors site design, convenience, product information and product offering and financial security, which are the predictors of e- satisfaction in the tourism industry. It also, by the use of regression analyze, demonstrates that site design and convenience of using e-tourism are the two factors which could satisfy tourists the most.Validerat; 20101217 (root

Ranking the cities with potential of tourism investment in Fars province using numerical taxonomy

Tourism industry is one of the most important parts of economic development. It can create job either directly or through stimulating other economic sectors. Therefore, it is important for policy makers to determine the best places with good potentials for tourism development. Fars province has been the center of civilization and the origin of the Iranian literature and mysticism celebrities and could be a potential investment of tourism. However, this province does not have the infrastructure required to accommodate tourists, especially during holiday seasons. This study ranks different cities located in the Fras province having the necessary potential for investment in the tourism sector by using the numerical taxonomy in terms of 12 indicators. The research population includes 29 cities in this province based on the devision of 2016. The necessary data are collected from Directorate General of Cultural Heritage, Handicrafts, and Tourism in Fars province. It is found that the cities of Shiraz, Marvdasht, Firouzabad, Sepidan, and Kazerun were the best cities for tourism investment, respectively

Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction

In this paper, we propose a novel two-phase methodology based on interval type-2 fuzzy sets (T2FSs) to model the human perceptions of the linguistic terms used to describe the online services satisfaction. In the first phase, a type-1 fuzzy set (T1FS) model of an individual's perception of the terms used in rating user satisfaction is derived through a decomposition-based procedure. The analysis is carried out by using well-established metrics and results from the Social Sciences context. In the second phase, interval T2FS models of online user satisfaction are calculated using a similarity-based data mining procedure. The procedure selects an essential and informative subset of the initial T1FSs that is used to discard the outliers automatically. Resulting interval T2FSs, which are synthesized based on the selected subset of T1FSs only, exhibit reasonable shapes and interpretability. © 2014 Springer-Verlag Berlin Heidelberg