The goal of this study is to show emerging applications of deep learning technology in cancer imaging. Deep learning technology is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that demonstrate the desired behavior....

This study suggests a new concept of technology that is a main element of the system of technological change in society: killer or disruptive technology is a based on new products and/or processes that destroys the usage of established products/processes sold and used. The behavior of killer...

A vast literature exists on disruptive technologies; however, some fundamental questions are unknown, such as: how is the speed of disruptive technologies in competitive markets? How is the pathway of technological cycle of disruptive technologies? The study confronts these questions here by...

This study proposes the concept of disruptive firms: they are firms with market leadership that deliberate introduce new and improved generations of durable goods that destroy, directly or indirectly, similar products present in markets in order to support their competitive advantage and/or...

The purpose of this study is to analyze the rates of R&D investments and taxes levied on profits of firms that can optimize the labor productivity of nations. Statistical evidence, based on OECD data, reveals that high rates of R&D intensity and tax on corporate profits do not maximize the labor...

A fundamental problem in the field of R&D management is how public research laboratories consume resources to produce scientific research and operations. The study confronts this problem here by developing a model of metabolism of research labs, which endeavours to analyze the behavior of public...

Christiansen's theory of disruptive innovation describes the process by which a new entrant introduces new products and/or services that disrupt the competitive advantage of incumbents (established competitor firms). However, this theoretical framework has trouble explaining the overall sources...

A fundamental problem in the field of new technology is how firms develop and sustain disruptive technologies for industrial change. The literature has analyzed several characteristics of disruptive innovations. However, the drivers are hardly known. The study suggests that, in markets with high...

In the domain of Artificial Intelligence, deep learning is part of a broader family of machine learning methods based on deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks that have been applied to fields including computer vision, medical...

The current debate on public sector research in modern economies has generated an increasing interest regarding the scientific activity of research units for external users. The purpose of this paper is to investigate the relationship between production of basic research and applied activity of...