On a City Guide App Model

Abstract

For the travel industry, technology, digitalization, and connectivity are factors of significant importance. We proposed a city guide app (CGA) model in this research. The general city tourist information is enormous, but it is essential to know the information of interest for travelers and useful for mobile applications. We used an online survey to detect this kind of information. The interviewees were young people aged 20 to 24 from Romania who used at least a CGA while travelling in different cities, especially abroad. We kept forty questions for the proposed model—sixteen from the previous research on app quality, user habits, travel agency app usage, behavioral intention, twenty-four questions on touristic information proposed by us. We used the partial least squares structural equation modelling (PLS-SEM) method. We concluded which touristic information influences mobile app quality and behavioral intention. Given the age and location of our interviewees, this information could be different, considering the respondent age, location, and habits. Whether we are talking about passionate information technology (IT) developers, city halls, or travel agencies, this study is helpful for those who want to develop a CGA.