Ricerc@Sapienza

Despite the growing scholars' attention toward green innovation, on the one hand, and family firms, on the other hand, there is still limited attention toward the intersection of these two streams of literature, because very few studies deal with green innovation in family firms. This paper aims at comparing family and nonfamily small firms in their approach to green innovation. To this aim, a multiple case studies methodology was used to understand whether and in which aspects family firms and nonfamily firms differ.

Wavelet artificial neural networks and remote sensing techniques can be used to estimate water quality variables such as Chlorophyll-a, turbidity and suspended solids. This paper describes empirical algorithms for the estimation of these variables incorporating information from the Operational Land Imager Sensor on board the Landsat-8 satellite.