Framework for a Tourism Intelligence System Based on Knowledge Governance: A Conceptual Model

Luana Emmendoerfer, Alexandre Augusto Biz () and Patrícia Sá Ferreira
Additional contact information
Luana Emmendoerfer: Universidade Federal de Santa Catarina
Alexandre Augusto Biz: Universidade Federal de Santa Catarina
Patrícia Sá Ferreira: Universidade Federal de Santa Catarina

A chapter in Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability, 2024, pp 227-235 from Springer

Abstract: Abstract The objective of this article is to present a framework of Tourism Intelligence System (TIS) with support in Knowledge Governance (GovC) to support decision making in tourist destinations. The form of cooperation and use of knowledge should be structured through mechanisms that allow availability and reliability. The methodological framework is structured in Design Science Research (DSR) of technological and applied nature, with data collection method using a qualitative approach, classified as exploratory and descriptive, from the validation of semi-structured interviews with experts in the tourism sector and technology. This architecture was composed of three layers: knowledge application, knowledge generation and application, and knowledge generation. It focuses on the extraction of data generated by the tourist trip in the pre-trip, during trip, and post-trip phases, using Knowledge Management (KM) processes such as knowledge identification, acquisition, and use. The GovC aspect considered the mechanisms aimed at the sustainability and evolution of the TIS, as well as the hybrid structure through network and market formation, by means of knowledge centers with actors involved in the segments of the tourism production chain.

Keywords: Tourism Intelligence System; Knowledge Governance; Competitive Intelligence; Tourism (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-52607-7_21

Ordering information: This item can be ordered from
http://www.springer.com/9783031526077

DOI: 10.1007/978-3-031-52607-7_21

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().