Building data warehouse system for the tourism sector

Abdulaziz, Tamer; Moawad, Ibrahim F.; Abu-Alam, Wesal M.

doi:10.1109/intelcis.2015.7397253

Cited by 2 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• Data management solutions: The model highlights the importance of having a data platform (Shi, 2020) that facilitates the storage and organization of data in a centralized and efficient way. There has been research in this area (Navarro et al, 2000;Abdulaziz et al, 2015;Ramos et al, 2017), but there is generally little research in this field and there is a lack of centralized data repositories in the tourism sector, especially data lake repositories • Analytical techniques: The most commonly used analytical techniques in tourism research are identified. We obtain a wide range of analytical techniques, among which we can highlight: clustering (Feng et al, 2022), personalization (Gupta et al, 2022), collaborative-filtering (He, 2022), machine learning (Kayakus, 2022), recommender-systems (Julashokri et al, 2022), data-mining (Ma, 2022), text mining (Loureiro et al, 2022), natural language processing (Ray & Bala, 2021), or deep learning (law et al, 2019).…”

Section: A Conceptual Model Of Data Architecture and Processes Of A D...mentioning

confidence: 99%

Data Sources as a Driver for Market-Oriented Tourism Organizations: a Bibliometric Perspective

et al. 2023

View full text Add to dashboard Cite

This paper presents a conceptual framework that accurately represents the current and future perspectives of data-driven companies in tourism by means of an analysis of the data sources used in the data-driven tourism research literature, as well as the research topics to which they are applied. For this purpose, a bibliometric analysis of data-driven tourism research is carried out. The framework of the study is all tourism-related publications whose research was based on data sources during the period 1982–2020. The results show some of the basic bibliometric performance indicators and the maps of science. The main themes of research interest are identified, and the conceptual evolution is obtained based on these maps. Three major thematic areas are identified: tourism research topics, information sources, and data analysis techniques. Based on these three thematic areas, the conceptual model of data architecture and processes of a data-driven organization in the tourism sector are obtained. An additional qualitative analysis of the three thematic areas is performed.

show abstract

Section: A Conceptual Model Of Data Architecture and Processes Of A D...mentioning

confidence: 99%

Data Sources as a Driver for Market-Oriented Tourism Organizations: a Bibliometric Perspective

et al. 2023

View full text Add to dashboard Cite

show abstract

Data Platform for a Data-Driven Tourism Organization. A Conceptual Architecture

Vidal-Gil,

Carrasco-González,

Blasco-López

2024

Springer Proceedings in Business and Economics

View full text Add to dashboard Cite

The tourism sector is one of the sectors that has undergone most changes in recent years due to digital transformation. One of the pillars of this transformation is the management of organizations based on data-driven decision making. The raw material for these data-driven strategies is, of course, the sources of information used, which have changed and grown significantly in recent years. This article attempts to provide a conceptual architecture for a modern data platform that effectively manages and analyses these information sources and facilitates data-driven decision-making in tourism organizations.

show abstract

Building data warehouse system for the tourism sector

Cited by 2 publications

References 4 publications

Data Sources as a Driver for Market-Oriented Tourism Organizations: a Bibliometric Perspective

Data Sources as a Driver for Market-Oriented Tourism Organizations: a Bibliometric Perspective

Data Platform for a Data-Driven Tourism Organization. A Conceptual Architecture

Contact Info

Product

Resources

About