Automated content analysis: The review of the big data systemic discourse in tourism and hospitality

Abstract

Tourism is one of the economic activities that has changed most since large‐scale multidimensional data set, so‐called big data, was provided. The scientific literature on big data and tourism with the hospitality industry has been growing exponentially, which is, for this reason, hard to comprehend and synthesise manually. Our research question is how to familiarise oneself with the current knowledge of the relationship between the big data and the complex changes in the tourism and hospitality industry. An automated content analysis procedure was used to identify key topics and concepts of interest to the researchers. A careful review of the abstracts and full texts was carried out, resulting in a final list of 308 papers published in 154 journals. We used the Leximancer software 5.0 to create an automated content analysis. Seven topics (tourism, data, search, model, industry, online and travel) from papers published between 2011 and 5/2020 were found. We propose future development trends of big data in sustainable tourism.

Evolution of Sustainable Tourism Concepts

“…Social entrepreneurship can help develop sustainable, innovative (technological) approaches that help reduce human emissions and thus increase community development [96]. It is identified that state-of-art information and communication technologies play a crucial role when it comes to the revival of the (sustainable) tourism sector in the post-COVID-19 era, especially data mining [97,98], virtual reality [99], augmented reality [100] and Internet of Things (IoT) [101]. Data mining aims to discover useful patterns and knowledge from enormous data about events of importance, users, and their interactions with others and the environment.…”

“…Data mining aims to discover useful patterns and knowledge from enormous data about events of importance, users, and their interactions with others and the environment. Typical scenarios include tourist segmentation based on clustering, tourist number prediction relying on regression, excursion and services cross-selling based on association rule mining and booking cancellation prediction leveraging classification methods [97,98].…”

Evolution of the Sustainable Tourism Concepts

“…Social entrepreneurship can help develop sustainable, innovative (technological) approaches that help reduce human emissions and thus increase community development [92]. It is identified that state-of-art information and communication technologies play a crucial role when it comes to the revival of the (sustainable) tourism sector in the post-COVID era, especially data mining [93,94], virtual reality [95], augmented reality [96] and Internet of Things (IoT) [97]. Data mining aims to discover useful patterns and knowledge from enormous data about events of importance, users, and their interactions with others and the environment.…”

“…Data mining aims to discover useful patterns and knowledge from enormous data about events of importance, users, and their interactions with others and the environment. Typical scenarios include tourist segmentation based on clustering, tourist number prediction relying on regression, excursion and services cross-selling based on association rule mining and booking cancellation prediction leveraging classification methods [93,94].…”

Interdisciplinarity in education for sustainable development: business schools perspectives

“…The Gephi (Madan et al, 2016;Hernández García et al, 2016) is a freeware, social network analysis, and graph generating tool that works based on the principles of network and graph theory (Barnes & Harary, 1983). All these tools are widely used in a broad range of thematics (Pucihar, 2020;Peterlin et al, 2020;Roblek et al, 2020) Specifically, from the Leximancer dashboard, we used the features "Concept Maps"…”