Defining the territory size of a Geographical Indication

A systematic mapping study

Authors

DOI:

https://doi.org/10.31686/ijier.vol9.iss12.3551

Keywords:

geographical indication area, efficiency, quality, model, optimization

Abstract

The objective of this study is to map articles that present models for determining the territory size of Geographical Indications (GIs), a relevant factor for the management of GIs that is poorly explored in studies on the subject. The study was undertaken as a systematic mapping study (SMS), whose main objective is to identify accessible facts about a given research topic, which is also the most suitable approach when aiming to analyze the state of the art of a subject with little evidence available in the literature. Using the Scopus and Web of Science databases, in which 671 results were found, and the StArt tool to select the articles, 652 articles were excluded (30 duplicates and 622 that did not meet the inclusion criteria established in the systematic mapping protocol). Then, after a complete reading of the texts of the 19 remaining articles, 14 were excluded. Thus, this study included only five articles in which GI size models were developed, the oldest of which was published in 2007 and the most recent in 2021. We therefore conclude that few studies are available in the literature on this theme.

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Author Biographies

  • Alex Victor do Rosário, Universidade Federal de Sergipe

    Program of Postgraduate in Intellectual Property Science

  • Francisco Valdivino Rocha Lima, Instituto Federal do Piauí

    Department of Business Management.

  • João Antônio Belmino Santos, Universidade Federal de Sergipe

    Program of Postgraduate in Intellectual Property Science

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Published

2021-12-01

How to Cite

Rosário, A. V. do, Lima, F. V. R., & Santos, J. A. B. . (2021). Defining the territory size of a Geographical Indication: A systematic mapping study. International Journal for Innovation Education and Research, 9(12), 48-59. https://doi.org/10.31686/ijier.vol9.iss12.3551
Received 2021-10-18
Accepted 2021-11-19
Published 2021-12-01

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