Data-Driven Decision Making in the Public Sector: A Systematic Review

Authors

  • Rodrigo Speckhahn Soares da Silva
  • Claudelino Martins Dias Junior
  • Rogério Tadeu de Oliveira Lacerda

Keywords:

data driven, decision making, public sector, open government

Abstract

This study presents the selection process of a bibliographic portfolio and bibliometric analysis related to Data-Driven Decision-making (DDD) in the context of Public Administration using the ProKnow-C framework. We proceeded to search and select articles to compose a portfolio and then analyze their characteristics. The journals where the theme is recurrent were evaluated, as well as the authors and articles that stand out. With the dissemination of ICTs and the Open Government movement, it has been noticed that the volume of articles on the subject has grown significantly in the last decade. In this context, the methodology used proves to be a useful tool for building knowledge in a given field of research, providing a structured and rigorous procedure that minimizes the use of randomness and subjectivity in the literature review process.

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Published

2022-09-19

How to Cite

Soares da Silva, R. S., Dias Junior, C. M., & Oliveira Lacerda, R. T. de. (2022). Data-Driven Decision Making in the Public Sector: A Systematic Review. International Journal of Advanced Engineering Research and Science, 9(9). https://journal-repository.com/index.php/ijaers/article/view/5468