Periodic Reporting for period 1 - SSST-BD (Smart Specialization Strategy Tools with Big Data)
Période du rapport: 2019-09-01 au 2021-08-31
This topic is important for society because the expected advancement within this field will play an important role to boost the innovation and competitiveness potential of the European regions. By employing interdisciplinary elements of economic innovation, foresight and big data fields, the project aims to show how big data methods and analytics can be used to identify and assess entrepreneurial discovery processes and to design S3. The research outcomes of the project also help regional governments and companies to test and evaluate new business concepts and assess patent values based on weak signals of technological changes. Firms’ innovation and competitiveness are determined by how quickly and effectively an organization is able to exploit new business opportunities and cope with future threats. In this context, future-oriented thinking is required to anticipate and respond socio-economic and technological changes. The methods the project propose can help firms and regions to understand complex innovation ecosystems in dynamic VUCA (volatility, uncertainty, complexity and ambiguity) environment and to manage their science, innovation, technology and investment policy.
Objectives of this Marie Skłodowska Curie Action (MSCA) have been to incorporate technology foresight in the planning of S3 and to measure the competitiveness of economic and entrepreneurial activities within/across regions. A parallel goal of the MSCA is to foster the development of the individual researcher.
Results of this MSCA are reported in: (1) forthcoming paper on exploring regional entrepreneurial ecosystems and their competitiveness for smart specialization; (2) journal article on mapping the wave of industry digitalization by co-word analysis; (3) conference publication and manuscript on digitalization and innovation activities; (4) forthcoming papers on identifying and assessing entrepreneurial discovery processes (e.g. startup and innovation activities) with technology weak and strong signals; (5) forthcoming paper on topic-based technological forecasting for the design and planning of European S3; (6) forthcoming paper on data-driven smart specialization strategy with export-import data analytics; and (7) forthcoming paper on the role of coopetition in service innovation in emerging markets.