Orienting Through the Variants of the Shah's A-Posteriori Novelty Metric
Editor: Wartzack, Sandro; Schleich, Benjamin; Gon
Author: Fiorineschi, Lorenzo; Frillici, Francesco Saverio; Rotini, Federico
Institution: University of Florence
Section: Innovation engineering
DOI number: https://doi.org/10.1017/dsi.2019.238
Different variants of a-posteriori novelty metrics can be found in the literature. Indeed, such a kind of assessment procedures is often used to extract useful information about creativity and/or idea generation effectiveness. In particular, the metric proposed by Shah et al. in 2003, is one of the most used and discussed in the literature. However, scholars highlighted some flaws for this metric, and some variants have been proposed to overcome them. This paper argues about the variants proposed for the a-posteriori metric of Shah et al., and proposes a selection framework to support researchers in selecting the most suited for their experimental needs. The proposed selection framework also highlights important research hints, which could pave the way for future activities. More specifically, it is still necessary to support the identification of the best-suited abstraction framework to assign weights to attributes, and the assignment of weights should be better supported as well. Moreover, this paper highlights the presence of ?uncommonness of key attributes?, which needs to be investigated for experimental cases where ideas missing some key attributes are present.