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This study aims to analyzed the development of open innovation research knowledge and its application in the tourism sector during the past 17 years, with the aim of understanding the scientific activity and impact of existing research. In addition, this research identifies trending thematic lines and provides recommendations for future research on this topic.

A bibliometric analysis was carried out from the Scopus database, in which 110 studies related to open innovation in tourism were identified. The analysis of the papers was done with the Bibliometrix and Vosviewer tools.

The results show that there is a recent and growing interest among academics, especially since 2017. Moreover, four main lines of work were identified: overtourism and sustainability, value cocreation, open innovation and competitive advantage and its impact on organizations belonging to the hotel sector and the relationship between external knowledge and internal sources in innovation management and open innovation performance.

The relationship with other stakeholders involved in the customer experience value creation in the tourism sector depends to a large extent on the joint offer that hotels, restaurants, tour operators and tourist offices, can provide in a tourist destination. Therefore, having external sources to innovate from will improve their innovative and organizational performance. However, there are no bibliometric analyses on the application of the open innovation paradigm in this sector. Thus, this research contributes to fill this gap, as well as to identify the most recurrent themes that show how open innovation is developing in tourism, providing academics and researchers with guidelines for future research.

In an era overshadowed by the alarming consequences of climate change and the escalating peril of recurring floods for communities worldwide, the significance of proficient disaster risk management has reached unprecedented levels. The successful implementation of disaster risk management necessitates the ability to make informed decisions. To this end, the utilization of three-dimensional (3D) visualization and Web-based rendering offers decision-makers the opportunity to engage with interactive data representations. This study aims to focus on Thiruvananthapuram, India, where the analysis of flooding caused by the Karamana River aims to furnish valuable insights for facilitating well-informed decision-making in the realm of disaster management.

This work introduces a systematic procedure for evaluating the influence of flooding on 3D building models through the utilization of Web-based visualization and rendering techniques. To ensure precision, aerial light detection and ranging (LiDAR) data is used to generate accurate 3D building models in CityGML format, adhering to the standards set by the Open Geospatial Consortium. By using one-meter digital elevation models derived from LiDAR data, flood simulations are conducted to analyze flow patterns at different discharge levels. The integration of 3D building maps with geographic information system (GIS)-based vector maps and a flood risk map enables the assessment of the extent of inundation. To facilitate visualization and querying tasks, a Web-based graphical user interface (GUI) is developed.

The efficiency of comprehensive 3D building maps in evaluating flood consequences in Thiruvananthapuram has been established by the research. By merging with GIS-based vector maps and a flood risk map, it becomes possible to scrutinize the extent of inundation and the affected structures. Furthermore, the Web-based GUI facilitates interactive data exploration, visualization and querying, thereby assisting in decision-making.

The study introduces an innovative approach that merges LiDAR data, 3D building mapping, flood simulation and Web-based visualization, which can be advantageous for decision-makers in disaster risk management and may have practical use in various regions and urban areas.