Information systems
elaheh mohammadzadehlotfi; Mohammadhossein Imani Khoshkhoo; Seyed Saeid Hashemi
Abstract
Technology is one of the most influential forces that shape people's lives. The tourism industry has always been at the forefront of using technology. The present study is a mixed study (qualitative-quantitative). Semi-structured interviews were conducted to saturation (21 people). Thematic analysis ...
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Technology is one of the most influential forces that shape people's lives. The tourism industry has always been at the forefront of using technology. The present study is a mixed study (qualitative-quantitative). Semi-structured interviews were conducted to saturation (21 people). Thematic analysis was conducted using the Brown and Clark method and MAXQDA software to code the interviews. Also, Cohen's kappa index was used to validate the coding process in the qualitative part. In the quantitative part, data analysis was conducted using SPSS (exploratory factor analysis) and LISREL (confirmatory factor analysis) software. The convergent and divergent validity and reliability (Cronbach's alpha and composite reliability) of the model were confirmed.This study emphasizes the importance of using artificial intelligence in different stages of tourism marketing and shows that the use of this technology can lead to improved service quality, reduced costs, and increased productivity.
Elaheh Mohammadzadehlotfi; Tahereh Ashtiani; Fatemeh I zadiyazdani
Abstract
The purpose of this article is to investigate the effective factors in the development of historical tourism in times of crisis in Tehran with the approach of resistance economics. The method used is descriptive-analytical method. The sample size was determined based on Morgan table equal to 384 people. ...
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The purpose of this article is to investigate the effective factors in the development of historical tourism in times of crisis in Tehran with the approach of resistance economics. The method used is descriptive-analytical method. The sample size was determined based on Morgan table equal to 384 people. Data collection tools include a 59-item researcher-made questionnaire. The collected data were analyzed using Friedman test and SPSS software and structural equation path analysis in AMOS software. Also, in terms of prioritizing the economic index with a coefficient of 0.27 in the first place, the infrastructure-structural index with a coefficient of 0.24 in the second place and the environmental index with a coefficient of 0.22 in the third place and the socio-cultural index with a coefficient of 0.19 in the fourth place.
