Proposta de um modelo prescritivo para a avaliação da maturidade do processo de inteligência

Christiane Cunha Martini; Raquel Janissek-Muniz; Luccas Martins da Rosa

doi:10.5585/2024.24785

Authors

Christiane Cunha Martini Universidade Federal do Rio Grande do Sul https://orcid.org/0009-0006-7826-4796
Raquel Janissek-Muniz Universidade Federal do Rio Grande do Sul https://orcid.org/0000-0002-0657-6559
Luccas Martins da Rosa Universidade Federal do Rio Grande do Sul https://orcid.org/0000-0003-2380-0089

DOI:

https://doi.org/10.5585/2024.24785

Keywords:

intelligence maturity, Delphi Card-Sorting, maturity model, model validation

Abstract

Objective: This study proposes a prescriptive model for evaluating the maturity of Intelligence processes.

Methodology: A Systematic Literature Review was conducted to identify existing maturity models and key practices, which were consolidated and subjected to a Delphi Card-Sorting with Intelligence experts, leading to the proposal of a preliminary model. The model was then subjected to a survey with 374 Intelligence professionals for validation.

Originality: The validation of the model allows for the proposal of a method that, in addition to diagnosis, contributes to the evolution of organizations' Intelligence processes through the prescription of improvement actions.

Results: Development of a prescriptive maturity model for Intelligence processes. The survey indicated that most participating organizations have mature Intelligence processes, although these are not always recognized or formalized.

Theoretical and Methodological Contributions: The use of a combination of methodological procedures, including the Delphi Card-Sorting, combined with a survey with a significant number of respondents. The developed model is also expected to contribute to the development of longitudinal research that analyzes the relationship between Intelligence and its impact on organizational performance. The application of the Delphi Card-Sorting method can also be considered an important academic contribution, as the preliminary instrument resulting from this method was partially validated.

Social Contributions: The proposed model helps organizations evaluate their maturity level in Intelligence processes, diagnosing and guiding their practices.

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Author Biographies

Christiane Cunha Martini, Universidade Federal do Rio Grande do Sul

Master in Management - Information Systems. Universidade Federal do Rio Grande do Sul – UFRGS. Porto Alegre, Rio Grande do Sul, Brazil

Raquel Janissek-Muniz, Universidade Federal do Rio Grande do Sul

Phd in Management - Information Systems Université Pierre Mendes France de Grenoble - UPMF - Grenoble, France. Universidade Federal do Rio Grande do Sul – UFRGS. Porto Alegre, Rio Grande do Sul, Brazil

Luccas Martins da Rosa, Universidade Federal do Rio Grande do Sul

Master in Management - Information Systems. Universidade Federal do Rio Grande do Sul – UFRGS. Porto Alegre, Rio Grande do Sul, Brazil

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