Analysis of e-tourism development (Case study: Tabriz city)

Subject Areas : Regional Planning

zahra rasoulzade ¹ , Abolfazl meshkini ² , musa vaezi ³

1 - Ph.D. in Geography and Planning, University of Zanjan, Zanjan, Iran
2 - Associate Professor, Department of Geography and Planning, Tarbiat Modares University, Tehran, Iran.
3 - Ph.D. in Urban Planning, University of Tabriz, Tabriz, Iran.

Received: 2020-11-24 Accepted : 2021-03-24 Published : 2022-12-22

Keywords: Factor Analysis, Path Analysis, Tourism, Tabriz Metropolitan, E-tourism,

Abstract :

Information and communication technology is effective in the tourism system by creating an information environment for each tourism institution and creating an information structure in which the whole system can work well. The purpose of this study is to identify the factors affecting the development of e-tourism and the causal relationships between them. The present study is applied in terms of purpose and descriptive in terms of method. The data collection tool is library and documentary sources and a questionnaire. Using the fuzzy Delphi method, the most important effective factors have been identified and the relationships between the factors have been investigated using the path analysis model in Smart Pls. Reliability and validity are combined with combined reliability and validity, the value of which for all variables above 0.7 and 0.5, respectively, indicates the desired validity and reliability. The results of the path analysis model show that of the 4 variables agreed upon by Delphi panel members, hardware-software, socio-cultural and managerial-economic variables with 36 variables that constitute the components of the model, have a positive and significant effect on They have e-tourism. According to the research results, independent research variables; Hardware, software, management, economic, social and cultural with path fines of 0.81, 0.54, 0.33 and 0.32 at the significant level of p <0.05, respectively, had a positive and significant effect on the research dependent variable Among the studied indicators, the most impact with a coefficient of 0.81 is related to the hardware variable, followed by software, management, economic, social and cultural variables, respectively.

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