The Mouad Quotient: Tool to Measure Territorial and anti-Territorial Intelligence Through a Theoretical-Mathematical Modeling Methodology

Today, territories are more than ever called upon to mobilize their intelligence to tackle the complex challenges related to their development. In Morocco, the issue of territorial intelligence remains underexplored, both scientifically and practically. In 2023, the report of the Economic, Social, and Environmental Council (CESE) highlighted the alarming state of territorial development and identified numerous stagnations, which are, in fact, linked to a deficit in the territorial intelligence of actors. Hence, the continued relevance of this issue. However, the present work explores a novel problematic: How can the global intelligence of a territory be measured to better guide its development? In this context, we have innovated a tool that allows measuring the global intelligence of the territory. We have named it: "The Mouad Quotient." Practically, the Mouad Quotient allows for the simultaneous and symmetrical measurement of territorial intelligence and anti-territorial intelligence, thus providing a score of the preponderance of one or the other of these two phenomena. Following a theoretical-mathematical modeling methodology, the process of designing the Mouad Quotient is as follows: Conceptual framework, application prerequisites, index construction, weighting, scaling, normalization, and interpretation. As a last resort, the Mouad Quotient is formalized as follows: [α (ID + II) + β (IM + ICOM + IK)] × 1.17.

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Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2024-11-23
DOI
https://doi.org/10.48374/imist.prsm/ame-v6i4.52970
Primary Topic
Intelligence, Security, War Strategy
Type
article
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article

The Mouad Quotient: Tool to Measure Territorial and anti-Territorial Intelligence Through a Theoretical-Mathematical Modeling Methodology

Mouad Lamrabet
SPIRE - Sciences Po Institutional REpository
Intelligence, Security, War Strategy
article

The Mouad Quotient: Tool to Measure Territorial and anti-Territorial Intelligence Through a Theoretical-Mathematical Modeling Methodology

Mouad Lamrabet
article en

Abstract

Today, territories are more than ever called upon to mobilize their intelligence to tackle the complex challenges related to their development. In Morocco, the issue of territorial intelligence remains underexplored, both scientifically and practically. In 2023, the report of the Economic, Social, and Environmental Council (CESE) highlighted the alarming state of territorial development and identified numerous stagnations, which are, in fact, linked to a deficit in the territorial intelligence of actors. Hence, the continued relevance of this issue. However, the present work explores a novel problematic: How can the global intelligence of a territory be measured to better guide its development? In this context, we have innovated a tool that allows measuring the global intelligence of the territory. We have named it: "The Mouad Quotient." Practically, the Mouad Quotient allows for the simultaneous and symmetrical measurement of territorial intelligence and anti-territorial intelligence, thus providing a score of the preponderance of one or the other of these two phenomena. Following a theoretical-mathematical modeling methodology, the process of designing the Mouad Quotient is as follows: Conceptual framework, application prerequisites, index construction, weighting, scaling, normalization, and interpretation. As a last resort, the Mouad Quotient is formalized as follows: [α (ID + II) + β (IM + ICOM + IK)] × 1.17.

SPIRE - Sciences Po Institutional REpository
Université Hassan II Mohammedia (MA), University of Hassan II Casablanca (MA)
Reduced inequalities
Openalex Percentile: Top 59%
Intelligence, Security, War Strategy
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The Mouad Quotient: Tool to Measure Territorial and anti-Territorial Intelligence Through a Theoretical-Mathematical Modeling Methodology — Mouad Lamrabet · SPIRE - Sciences Po Institutional REpository (2024) | TGRS Research Map | TGRS