717
Views
0
CrossRef citations to date
0
Altmetric
Articles

An Integrative Model (iModel) for Decision-Making in Tourism

ORCID Icon, & ORCID Icon
Pages 514-532 | Published online: 13 Aug 2018
 

ABSTRACT

This article contributes to the conceptual and methodological strengthening of the study of tourism as a complex phenomenon using systems thinking. It is aimed at supporting decision-making for tourist destinations’ planning and management. Few authors provide a schematic model of how tourism works, and among them, even fewer expressly use a systemic approach. However, nobody presents a methodology for their models’ analytical application to bridge theory and practice. The integrative model (iModel) fills this gap. It is developed through a review of previous models, research in Belgian, German and Ecuadorian cases, discussion in experts’ panels and supported by a long experience in destination development in Ecuador. Main contributions are 1) the introduction of a model of tourism as a dynamic complex system based on the functions performed by the actors involved in the tourism experience; and 2) the presentation of a methodology to apply the model-as-a-tool for decision-making support in tourism practice.

Disclosure statement

No potential conflict of interest was reported by the authors.

ORCID

Santiago Rodriguez-Giron http://orcid.org/0000-0002-3644-7934

Dimitri Ioannides http://orcid.org/0000-0002-3549-750X

Additional information

Funding

This work was supported by the Secretaría de Educación Superior, Ciencia, Tecnología e Innovación (SENESCYT) of Ecuador.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 222.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.