SIMILARITY MODELING WITH IDEAL SOLUTION FOR COMPARATIVE ANALYSIS OF PROJECTS IN THE CONTEXT OF THE ADDITIONAL BRICS PROPOSAL

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Abstract

Goal: Based on the project called “Additional BRICS”, this study aims to present an analysis on the topics Human Capital and Innovation, discussed at the X BRICS Summit, involving four countries – Argentina, Indonesia, Jamaica and Turkey – invited to participate in the Project which is intended for cooperation between emerging countries. Design/ Methodology / Approach: In this context, from the modeling of the indicators provided by the Global Human Capital and Innovation Reports, published annually by the World Economic Forum (WEF) and the World Intellectual Property Organization (WIPO), during the period from 2015 to 2017 an analysis of the performance of the invited countries was carried out with the methodological support of the TOPSIS (Technique for Order-ing Performance by Similarity to the Ideal Solution). Results: The analysis of the results by the method, among the dimensions considered, highlighted Turkey in the Human Capital and Innovation issues, considering the global market. Limitations of investigations: This research had as main limitations the data from the selected global indicators and the context of the emerging countries that were invited to participate in the BRICS Additional project. Practical implications: This study provides parameters for decision-making by executives and legislators in planning actions to fill gaps in these areas within these countries. Originality / Value: This study provides the necessary inputs to support decision-making in strategic public policymaking actions that encourage the promotion of skills needed for the current stage of the sustainable competitiveness of nations.

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APA

Saisse, R. de L. G., & Lima, G. B. A. (2019). SIMILARITY MODELING WITH IDEAL SOLUTION FOR COMPARATIVE ANALYSIS OF PROJECTS IN THE CONTEXT OF THE ADDITIONAL BRICS PROPOSAL. Brazilian Journal of Operations and Production Management, 16(4), 659–671. https://doi.org/10.14488/BJOPM.2019.v16.n4.a11

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