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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.

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.

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.

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.

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.

This work aims to establish the relationship between painting art and sustainability, which allows for highlighting implications likely to improve sustainability for humanity's welfare.

To 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.

The 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.

The 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.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2023-0006

This work aims to propose an alternative method of human capital calculation for research laboratories of public university, taking into account some drawbacks of the methods currently applied in this field.

This method is implemented via a linear program extracted from Data Envelopment Analysis based on slack movement. This is the formulation of Copper et al. (2000), which is used as the starting point for developing the proposed method through important transformations.

The proposed method is supported by an illustration related to a Moroccan public university. This illustration showed that 57 per cent of the laboratories and all the research activities that they perform are in deficit with respect to target scores.

The proposed method has technical limitations related to scores equal to 1 and to variables when those are numerous. To solve them, it is possible to use peer benchmarking system for the first limitation, and methods of regrouping the variables when those are numerous for the second limitation. Equally, the proposed method does not associate slack with important factors like governance and the impact analysis of research on innovation, competitiveness, and societal aspects. Likewise, it does not use the slack to measure individual efficiency at the same laboratory. Future research can fill these gaps.

This work allows making appropriate budgetary and research policy within university, through budgeting process and management control by using raw and adjusted target values as well as actual ones. Also, the highlighting of the excessive slacks leads the university to take actions to reduce them, according to the most loss-making research activities.

The proposed method is original, since it fills a deficit in terms of human capital target values calculation and of the slack movement concept in relation to the efficient frontier. Additionally, it transforms the Data Envelopment Analysis program into a program that eliminates the slacks linked to the inputs, the radial movement related to the outputs and treats only the outputs and slacks related to these outputs.