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1 – 4 of 4Andrea Da Ronch, Marco Panzeri, M. Anas Abd Bari, Roberto d’Ippolito and Matteo Franciolini
The purpose of this paper is to document an efficient and accurate approach to generate aerodynamic tables using computational fluid dynamics. This is demonstrated in the context…
Abstract
Purpose
The purpose of this paper is to document an efficient and accurate approach to generate aerodynamic tables using computational fluid dynamics. This is demonstrated in the context of a concept transport aircraft model.
Design/methodology/approach
Two designs of experiment algorithms in combination with surrogate modelling are investigated. An adaptive algorithm is compared to an industry-standard algorithm used as a benchmark. Numerical experiments are obtained solving the Reynolds-averaged Navier–Stokes equations on a large computational grid.
Findings
This study demonstrates that a surrogate model built upon an adaptive design of experiments strategy achieves a higher prediction capability than that built upon a traditional strategy. This is quantified in terms of the sum of the squared error between the surrogate model predictions and the computational fluid dynamics results. The error metric is reduced by about one order of magnitude compared to the traditional approach.
Practical implications
This work lays the ground to obtain more realistic aerodynamic predictions earlier in the aircraft design process at manageable costs, improving the design solution and reducing risks. This may be equally applied in the analysis of other complex and non-linear engineering phenomena.
Originality/value
This work explores the potential benefits of an adaptive design of experiment algorithm within a prototype working environment, whereby the maximum number of experiments is limited and a large parameter space is investigated.
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Keywords
Silvia de Simone, Daniela Putzu, Diego Lasio and Francesco Serri
Despite the ongoing increase of women in the top positions, they are still underrepresented in politics. The studies that primarily focus on women’s underrepresentation in…
Abstract
Purpose
Despite the ongoing increase of women in the top positions, they are still underrepresented in politics. The studies that primarily focus on women’s underrepresentation in politics neglect the role of gender as a category that structures and makes sense of social practices. The purpose of this paper is to investigate the mechanisms that regulate the contemporary gender order in politics through discourse analysis and the contribution of the critical feminist perspective.
Design/methodology/approach
The study is based on 30 biographical interviews with Italian politicians and focuses on the account of their political experiences and on the meanings attributed to these.
Findings
The results of this paper underline the tendency to either absolve or blame women for gender inequality in politics through different interpretative repertoires: “Women’s disinterest toward politics,” “Politics as masculine context” and “Politics–family unbalance.” The analysis allowed to unravel the way in which the discursive practices create and reproduce the hegemonic gender order in politics.
Research limitations/implications
The research is limited to 30 qualitative interviews, and so results cannot be generalized.
Practical implications
The findings of this paper highlight the importance of exploring issues relating to the gender gap in politics and stress the need to implement actions to promote gender equality in politics.
Originality/value
The paper contributes to an understanding of women’s underrepresentation in politics and offers causes for reflection on a phenomenon that has profound implications for our society.
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Massimiliano Matteo Pellegrini, Francesco Ciampi, Giacomo Marzi and Beatrice Orlando
Effectively handling knowledge is crucial for any organization to survive and prosper in the turbulent environments of the modern era. Leadership is a central element for…
Abstract
Purpose
Effectively handling knowledge is crucial for any organization to survive and prosper in the turbulent environments of the modern era. Leadership is a central element for knowledge creation, acquisition, utilization and integration processes. Based on these considerations, this study aims to offer an overview of the evolution of the literature regarding the knowledge management-leadership relationship published over the past 20 years.
Design/methodology/approach
A bibliometric analysis coupled with a systematic literature review were performed over a data set of 488 peer-reviewed articles published from 1990 to 2018.
Findings
The authors discovered the existence of four well-polarized clusters with the following thematic focusses: human and relational aspects, systematic and performance aspects, contextual and contingent aspects and cultural and learning aspects. The authors then investigated each thematic cluster by reviewing the most relevant contributions within them.
Research limitations/implications
Based on the bibliometric analysis and the systematic literature review, the authors developed an interpretative framework aimed at uncovering several promising and little explored research areas, thus suggesting an agenda for future knowledge management-leadership research. Some steps of the paper selection process may have been biased by the interpretation of the researcher. The authors addressed this concern by performing a multiple human subject reading process whose reliability was confirmed by a Krippendorf’s alpha coefficient value >0.80.
Originality/value
To the best knowledge, this is the first study to map, systematize and discuss the literature concerned to the topic of the knowledge management-leadership relationship.
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