| Stages | Description |
| Research question | How can artificial intelligence be used in the management of inter-municipal tourism consortia? |
| Sources of research | The databases used for the search were Scopus, Web of Science, and Google Scholar. In addition, a manual search of journals on inter-municipal consortium management and artificial intelligence was conducted. |
| Inclusion and exclusion criteria for studies | The inclusion criteria were: 1) articles and books published in English and Portuguese between 1983 and 2023; 2) articles that dealt with the use of artificial intelligence in the management of inter-municipal tourism consortia; 3) articles that presented real or experimental cases of AI use; 4) articles that presented AI-based technological solutions; 5) articles that underwent peer review. The exclusion criteria were: 1) articles that did not address the use of AI in the management of inter-municipal consortia; 2) articles that addressed areas other than network management; 3) articles of a speculative or journalistic nature. |
| Conducting the search | The search was conducted in April 2023 using the following search terms: “inter-municipal consortia”, “artificial intelligence”, “consortium management”, “inter-municipal tourism consortia”, and “computer vision”. The initial search returned 142 articles. |
| Selection of studies | After the initial review of titles and abstracts, 53 articles were selected for full reading. Of these, 21 were included in this approach. |
| Evaluation of study quality | The quality of the studies was assessed using the Critical Appraisal Skills Program (CASP), a scale for assessing study quality. The CASP is a critical appraisal tool developed in the United Kingdom and widely used in theoretical studies in management. This scale was developed to assess the methodological quality of qualitative, quantitative, and mixed-method studies. The goal of CASP is to help users critically evaluate the quality of studies to determine the reliability and validity of the results. In this article, CASP was used to conduct a systematic literature review, including questions to examine the appropriateness of the search strategy, selection of included studies, assessment of text quality, and synthesis of results. |
| Data analysis and synthesis | Data analysis, synthesis, and Python programming: data from publications were analyzed using narrative synthesis of results from included studies. The results were classified into thematic categories based on the main themes addressed in the studies and aligned with the proposed Python programming algorithms for the following dimensions of tourism services: Identification of opportunities, data analysis, demand forecasting, and evaluation of results. |