Factors influencing tourists' technology adoption in Saudi Arabia: examining determinants for effective use of mobile apps in tourism

Author:

Asif Muhammad,Fazel Hesham

Abstract

Purpose The use of smartphone applications is the primary means by which modern technology improves the experiences of tourists in the tourism industry by bringing novel and superior features. The purpose of this study is to look into and examine the factors that affect tourists’ intention to use technology when looking for information in areas of tourism. Design/methodology/approach This study quantitatively uses online surveys. A total number of 315 questionnaires were collected from the tourism industry in Saudi Arabia. Partial least squares-structural equations model is used to analyze the data to evaluate the measurement and structural models. Findings Results of this study reveal that attitude, perceived usefulness, perceived ease of use and perceived enjoyment significantly and positively influence the intention of tourists, while customer relationship management and personal innovativeness in technology are insignificant. Furthermore, customer relationship management and personal innovativeness in technology indirectly impact tourists’ intentions. Originality/value This study offers novel insights by comprehensively analyzing the factors that influence tourists' intention to adopt technology in the context of destination information searches. Finding new avenues, the research emphasizes the distinct functions of customer relationship management, personal innovativeness in technology and enjoyment, offering insightful viewpoints for improving technology integration in the tourism industry.

Publisher

Emerald

Reference79 articles.

1. Developing a general extended technology acceptance model for E-Learning (GETAMEL) by analysing commonly used external factors;Computers in Human Behavior,2016

2. Benefit–risk perceptions of FinTech adoption for sustainability from bank consumers’ perspective: the moderating role of fear of COVID-19;Sustainability,2022

3. Gamification impact on tourists’ pro-sustainability intentions: integration of technology acceptance model (TAM) and the theory of planned behaviour (TPB);Tourism Review,2024

4. The theory of planned behavior;Organizational Behavior and Human Decision Processes,1991

5. Extending the technology acceptance model (TAM) to predict university students’ intentions to use metaverse-based learning platforms;Education and Information Technologies,2023

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