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This study aims to highlight the negative effects of innovation with regard to innovation typologies and human, organizational, economic and societal variables in local authorities.

To achieve the above objective, radial basis function, based on Softmax activation function, and partitioning variable, is applied on a sample of Moroccan local authorities.

The findings show that the typologies of innovation that significantly impact the aforementioned variables are standard innovation/tailor-made innovation, social innovation/commercial innovation and incremental innovation/breakthrough innovation. They also reveal that the modalities considerably impacted by innovation are deviance in reaction, procedural injustice, increase of hidden costs and negative effect on ethics-culture.

To the best of the authors’ knowledge, this study is original in that it can contribute to the research in the field of innovation, as it deals with its negative effects in terms of typologies, which are rarely processed in innovation research. Additionally, to overcome these negative effects, this work uses neural networks that are very scarcely used in such studies on innovation.