The dark side of innovation in local authorities: influential typologies and impacted modalities

Boutchich, Driss El Kadiri; Gallouj, Nizar

doi:10.1108/ijis-08-2021-0159

Cited by 3 publications

(3 citation statements)

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“…Thus, they should be rescaled so that they are between 0 and 1. In fact, pseudo-probability is a generalization of probability (El Kadiri Boutchich et al. , 2023); therefore, when the neural network model is good and in the absence of overfitting, the pseudo-probabilities are automatically between 0 and 1, as is the case in this work.…”

Section: Resultsmentioning

confidence: 78%

“…Thus, they should be rescaled so that they are between 0 and 1. In fact, pseudo-probability is a generalization of probability (El Kadiri Boutchich et al, 2023); therefore, when the neural network model is good and in the absence of overfitting, the pseudo-probabilities are automatically between 0 and 1, as is the case in this work. The means of pseudo-probabilities revealed that the most positively impacted variable of sustainability by painting art is the social variable, with a pseudo-probability of 0.90.…”

Section: Pseudo-probabilities Of the Dependent Variablesmentioning

confidence: 77%

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Painting art and sustainability: relationship from composite indices and a neural network

Boutchich

2023

IJSE

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PurposeThis work aims to establish the relationship between painting art and sustainability, which allows for highlighting implications likely to improve sustainability for humanity's welfare.Design/methodology/approachTo achieve this objective, painting art is measured by a composite index aggregating the quantity and quality represented by the market value. As for sustainable development, it is represented by a composite index comprising three variables: the climate change performance index (ecological dimension), the wage index reflecting distributive justice (social dimension) and the gross domestic product (economic dimension). The composite indices were determined through adjusted data envelopment analysis. In addition, two other methods are used in this work: correlation analysis and a neural network method. These methods are applied to data from 2007 to 2021 across the world.FindingsThe correlation method highlighted a perfect positive correlation between painting art and sustainability. As for the neural network method, it revealed that the quality of painting has the greatest impact on sustainability. The neural network method also showed that the most positively impacted variable of sustainability by painting art is the social variable, with a pseudo-probability of 0.90.Originality/valueThe relationship between painting art and sustainability is underexplored, in particular in terms of statistical analysis. Therefore, this research intends to fill this gap. Moreover, analysis of the relationship between both using composite indices computed via an original method (adjusted data envelopment analysis) and a neural network method is nonexistent, which constitutes the novelty of this work.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2023-0006

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Section: Resultsmentioning

confidence: 78%

Section: Pseudo-probabilities Of the Dependent Variablesmentioning

confidence: 77%

Painting art and sustainability: relationship from composite indices and a neural network

Boutchich

2023

IJSE

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“…4.2.1 Epistemological stance. The epistemological stance adopted is positivist, retaining an exploratory analysis, thus avoiding the formulation of hypotheses and the need for their confirmation or invalidation (El Kadiri Boutchich, 2023b). This research is considered exploratory because there is no review of the literature on works that have used AVRM or related methods that allow formulating hypotheses and thus adopting a confirmatory approach.…”

Section: Case Study Related To Adjusted Variant Of Radial Measure Abo...mentioning

confidence: 99%

Methods of regulatory impact assessment: critical analysis and alternative method

El Kadiri Boutchich

2023

JFRC

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Purpose This study aims to carry out a critical analysis of the methods used to deal with the regulatory impact assessment while proposing an alternative method to overcome some of the drawbacks of the aforementioned methods. Design/methodology/approach To achieve the objective of this work, the methods currently used in regulatory impact analysis are presented by highlighting their scope and the problems they may pose during their applications. After that, the adjusted variant of radial measure is suggested as an alternative method to the aforementioned methods while showing its relevance with regard to other methods using pertinent criteria. Finally, for concretization, a case study related to the sanctions against Russia after its invasion of Ukraine is presented. Findings The findings show that regulations related to the sanctions against Russia are good enough, with a score of 0.846. However, this score is less good in several countries like Germany (0.671), Italy (0.677) and France (0.745) and in the poorest countries. Originality/value The originality of this work resides in using a novel method in the regulatory impact analysis field, which is adjusted variant of radial measure. This method increases the effectiveness of the regulatory impact assessment.

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Competencias de transición en comunidades ciudadanas: la experiencia GIZARTE LAB

Javier Castro-Spila,

Galarraga,

Koro Muro Arriet

2024

Oñati Socio-Legal Series

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En un contexto de transiciones demográfica, digital y ecológica el impulso de la participación ciudadana en el diseño de políticas públicas es cada vez más demandado y relevante. El presente artículo presenta el Modelo GIZARTE LAB (Laboratorio de Innovación Social) focalizado en el impulso de competencias de transición, entendidas como el incremento de habilidades personales cuando están integradas en el desarrollo de capacidades colectivas para impulsar innovaciones sociales incrementales y acumulativas orientadas a resolver problemas locales en el largo plazo. Para el desarrollo de estas competencias, GIZARTE LAB conecta la ciudadanía (conocimiento experiencial) con las personas técnicas/gestoras de políticas públicas (conocimiento técnico-institucional) a nivel municipal (local) en el marco de comunidades de transición. La metodología del Laboratorio se basa en cuatro momentos: a) Mapa de vida (competencias emocionales), b) Diseño de Futuros (competencias anticipatorias), c) Diseño de Experiencias Piloto (competencias innovadoras), d) Desarrollo de comunidades de transición (competencias relacionales). Desde el año 2019 GIZARTE LAB se ha implementado en 9 municipios y han participado 225 personas. El artículo ofrece conclusiones, discusión (limitaciones) y lecciones aprendidas. In a context of demographic, digital and ecological transitions, the promotion of citizen participation in the design of public policies is increasingly in demand and relevant. This article presents the GIZARTE LAB Model (Social Innovation Laboratory) focused on the promotion of Transition skills, understood as the increase of personal skills integrated into collective capacities to promote incremental and cumulative social innovations to produce long term solutions. For the development of these competencies, GIZARTE LAB connects citizens (experiential knowledge) with technical people/managers of public policies (technical-institutional knowledge) at the municipal level (local) within the framework of Transitional communities. The Laboratory's methodology is based on four moments: a) Life Map (emotional competencies), b) Design of Futures (anticipatory competencies), c) Design of Pilot Experiences (innovative competencies), d) Development of transitional communities (relational competencies). Since 2019, GIZARTE LAB has been implemented in 12 municipalities and 290 people have participated. The article offers discussion and conclusions, pointing out both the limitations of the model and the lessons learned.

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The dark side of innovation in local authorities: influential typologies and impacted modalities

Cited by 3 publications

References 93 publications

Painting art and sustainability: relationship from composite indices and a neural network

Painting art and sustainability: relationship from composite indices and a neural network

Methods of regulatory impact assessment: critical analysis and alternative method

Competencias de transición en comunidades ciudadanas: la experiencia GIZARTE LAB

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