@article {598, title = {Relatedness in the implementation of Smart Specialisation Strategy: a first empirical assessment}, journal = {Papers in Regional Science}, volume = {99}, year = {2020}, pages = {405-425}, publisher = {Blackwell Publishing Ltd}, abstract = {Smart Specialisation Strategy required regional authorities to identify technological domains where to concentrate investment in R\&D and innovation. Their choices should originate from an analysis of regional strengths, aiming to identify those domains with the greatest potential for innovation and diversification. This paper aim to assess the degree of relatedness between chosen technological domains. We use patent data to categorize technological domains and the revealed associations methodology to measure their degree of relatedness. We find that the choices made by Italian regions show a significant higher relatedness as compared to a random choice, though with notable exceptions. {\textcopyright} 2019 The Author(s). Papers in Regional Science {\textcopyright} 2019 RSAI}, keywords = {assessment method, development strategy, Innovation, policy implementation, regional development, specialization, technology policy}, issn = {10568190}, doi = {10.1111/pirs.12492}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076927157\&doi=10.1111\%2fpirs.12492\&partnerID=40\&md5=0915eca9a188b2df44da9945d6c2c4bd}, author = {D{\textquoteright}Adda, D. and Iacobucci, D. and Palloni, R.} } @article {579, title = {Agglomeration, networking and the Great Recession}, journal = {Regional Studies}, volume = {53}, year = {2019}, pages = {951-962}, publisher = {Routledge}, abstract = {

This paper analyzes how and to what extent firms{\textquoteright} external relations, such as belonging to a local cluster or a business group, affect the probability of firm survival and economic performance after the 2008 Great Recession. Using a large data set of Italian manufacturing companies for the period 2005{\textendash}12, it was found that belonging to a business group or a local cluster mitigates the selection effect determined by the real and financial shocks, while in the case of firms not belonging to groups, only the more efficient units survive. This means that firms belonging to a group or local cluster are expected to show a lower likelihood of failure and also lower performance compared with stand-alone firms. {\textcopyright} 2018, {\textcopyright} 2018 Regional Studies Association.

}, keywords = {agglomeration, business, data set, economic analysis, financial crisis, Italy, manufacturing, networking, probability}, issn = {00343404}, doi = {10.1080/00343404.2018.1511892}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053309295\&doi=10.1080\%2f00343404.2018.1511892\&partnerID=40\&md5=614bc6c55f4bf2ab7f9e3f8384b4eef6}, author = {Cainelli, G. and Giannini, V. and Iacobucci, D.} } @article {578, title = {Vertical relatedness and services outsourcing: A firm-level analysis}, journal = {Industrial and Corporate Change}, volume = {28}, year = {2019}, pages = {753-771}, publisher = {Oxford University Press}, abstract = {

This paper analyzes the relationship between local-level vertical relatedness and firms{\textquoteright} services outsourcing, using a data set of 46,671 Italian manufacturing firms observed over the period 1999-2007. The analysis uses a firm-level index of services outsourcing based on the Adelman index, and it proposes a new measure of vertical relatedness. Overall, the results suggest that it is not agglomeration per se that matters for services outsourcing but rather the presence of vertically related industries. The role of firm-level heterogeneity in terms of size, geographic location, and technological regime also emerges. {\textcopyright} 2018 The Author(s) 2018. Published by Oxford University Press on behalf of Associazione ICC. All rights reserved.

}, keywords = {data set, heterogeneity, Italy, manufacturing, outsourcing}, issn = {09606491}, doi = {10.1093/icc/dty038}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073530269\&doi=10.1093\%2ficc\%2fdty038\&partnerID=40\&md5=d73132d61bc21fff0464b43c83894926}, author = {Cainelli, G. and Ganau, R. and Iacobucci, D.} } @article {588, title = {Academic spin-offs{\textquoteright} entrepreneurial teams and performance: a subgroups approach}, journal = {Journal of Technology Transfer}, volume = {43}, year = {2018}, pages = {714-733}, publisher = {Springer New York LLC}, abstract = {

Academic spin-offs{\textquoteright} entrepreneurial teams generally concentrate high levels of research and development experience while they are often found lacking in commercial skills. This prompts the integration of surrogate entrepreneurs (practitioners) but the literature questions the effectiveness of these artificially created teams. We argue that faultline theory applied to this context of different identity-based subgroups in a team can provide important insight, and complement the traditional approaches to top team diversity such as upper echelons theory. Our research compares the impact of the three main possible academic spin-off entrepreneurial team configurations on the two principal success-related tasks, innovation and sales, and considers the role important stakeholders, such as public research institutions and industrial partners, can have. In a sample of 164 academic spin-offs, we show that certain configurations are more suited to certain objectives and that faultline theory does indeed contribute to better our understanding of the entrepreneurial teams{\textquoteright} outcomes. Furthermore, the expectations one might have with regard to the extended entrepreneurial team as a possible remedy for weak core team configurations are not supported by our data. Implications for theory and practice are provided. {\textcopyright} 2017, Springer Science+Business Media, LLC.

}, keywords = {Academic spin-offs, Commercial performance, Diversity, Entrepreneurial teams, Faultline theory, Industrial research, Innovation, Societies and institutions}, issn = {08929912}, doi = {10.1007/s10961-017-9623-7}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029506376\&doi=10.1007\%2fs10961-017-9623-7\&partnerID=40\&md5=6c0b418a9a68daaec50147776448fdfa}, author = {Ben-Hafa{\"\i}edh, C. and Micozzi, A. and Pattitoni, P.} }