Ruben Nicolas-Sans

Using the resource‐based view and knowledge spillover, this study investigates the direct effects of Internet capabilities (communication, platform, and connection capabilities) on product and process innovation across 10 Balkan countries from 2007 to 2019. The study examines the role of foreign technology licensing in moderating these relationships. In line with findings from developed countries, the empirical results show that Internet capabilities positively influence product and process innovation. Surprisingly, foreign technology licensing was unable to enhance the positive effects of Internet capabilities on process and product innovation due to the overlapped benefits and the potential costs and risks involved in the Balkan countries. As a result, our study enhances the literature's understanding of Internet capabilities' effects on innovation and the role of foreign technology licensing, enriching current knowledge and providing practical implications for the developing context of the Balkan countries.

The primary purpose of this study is to examine the relationship between TFP growth and ICT use. It also examines the number of people within the firm devoted to R&D and the usage of a website for large firms and SMEs in the Spanish tourism sector from 2011 to 2017. There are 581 companies in the sample, with the information coming from SABI and a total of 4067 observations. The TFP estimation approach of J. Levinsohn and Petrin (2003) and the SEM method were used for data processing. The research has revealed that non-border enterprises have a greater average growth rate than frontier firms, and tourism firms in Spain are highly productive in terms of TFP. Second, the study demonstrates the relationship between TFP growth and investment in R&D, ICT use, and R&D personnel. This positive relationship between technological development and economic growth demonstrates that, in terms of policy implications, administrations must maintain the policies that have facilitated this success, despite the need for improvements in the implementation of digitization policies, particularly in SMBs.

The number of melanoma cancer-related death has increased over the last few years due to the new solar habits. Early diagnosis has become the best prevention method. This work presents a melanoma diagnosis architecture based on the collaboration of several multi-label case-based reasoning subsystems called DERMA. The system has to face several challenges that include data characterization, pattern matching, reliable diagnosis and self-explanation capabilities. Experiments using two subsystems specialized in confocal and dermoscopy data from images respectively have provided promising results to help experts assess melanoma patterns.