LICENSING POLICY
International Open License (CC BY 4.0)
All articles published in Journal of Tourism Research Institute are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, making them freely available to readers from the moment of publication. With the belief that science is a universal public good, our journal is committed to using this standard open license to maximize the dissemination of generated knowledge.
The details and logo of this license are explicitly displayed on the first page of every article's PDF file and on the article metadata page within the DergiPark system.
Rights of Readers and Users
While the author retains the copyright, the CC BY 4.0 license grants users (readers, researchers, institutions, databases, etc.) the following freedoms without restriction:
- Share: Users are free to copy, distribute, reproduce, and redistribute the material in any medium, size, or format (including open repositories, personal websites, academic networks, etc.).
- Adapt: Users are free to remix, transform, and build upon the material (including data, figures, tables, or text) to create new works.
- Commercial Use: Users are permitted to exercise the sharing and adaptation rights mentioned above freely, even for commercial purposes.
Terms of Use (Attribution Requirement)
To exercise the rights stated above, users are legally required to fulfill the following condition:
- Attribution: Anyone who uses or adapts the article must give appropriate credit to the original author(s), state that the work was originally published in Journal of Tourism Research Institute, provide a link to the article's DOI or original URL, and provide a link to the CC BY 4.0 license. Additionally, if any changes were made to the original material, this must be clearly indicated.
Data Mining and Machine Readability
Thanks to the CC BY 4.0 license, the full texts (PDFs) and metadata of all articles published in Journal of Tourism Research Institute can be freely crawled, downloaded, and indexed by search engines, academic databases, and OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting) harvesters for text and data mining purposes.