Although machine learning is frequently associated with neural networks, it also comprises econometric regression approaches and other statistical technique whose accuracy enhances with increasing observation. What constitutes high quality machine learning is yet unclear though. Proponents of...

We contribute to the research policy literature by pioneering the development of a sufficiently reliable and generically applicable benchmarking approach for research area output quantity and/or quality. In our development, we overcome substantial structural problems such as the ignorance of...

In this paper, we compare and contrast financial data science with econometrics and conclude that the former is inevitably interdisciplinary due to the numerous skill-sets needed within a competitive research team. The latter, in contrast, is firmly rooted in economics. Both areas are highly...

We develop Influential Literature Analysis (ILA) as a four step approach, which improves upon existing methods to synthesise research areas. The first step rates the candidate studies for a research synthesis according to their influence and selects the most influential ones to be synthesised....