6533b7d2fe1ef96bd125e356
RESEARCH PRODUCT
Neural Networks to Determine the Relationships Between Business Innovation and Gender Aspects
Giacomo Di TolloJoseph AndriaStoyan Tanevsubject
Innovation and entrepreneurship Gender diversity Corporate Boards of Directors Perception of innovation Feed-forward neural networksSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.description
Gender aspects of management, innovation and entrepreneurship are gaining more and more importance as cross-cutting issues for researchers, practitioners and decision makers. Extant literature pays a growing attention to the hypothesis that there exists a correlation between the gender diversity of corporate boards of directors and the business attitude to innovation. In this paper we introduce a working framework to test the aforementioned hypothesis and to examine the correlation between board diversity and innovation perception of a business. This framework is based on correlation computation and feed-forward neural networks, and it is used to evaluate whether the gender component may be used to predict the innovation perception of a business. First results about three different economic scenarios are reported and discussed.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-01-01 |