@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 {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.} } @article {589, title = {What are the trade-offs of academic entrepreneurship? An investigation on the Italian case}, journal = {Journal of Technology Transfer}, volume = {43}, year = {2018}, pages = {198-221}, publisher = {Springer New York LLC}, abstract = {

This study addresses the following research questions: what happens to the propensity to collaborate with other firms, once the researcher creates her own venture? Do her collaborations decrease or do they grow? These questions have been overlooked by the current literature, even though they carry important policy implications. Our key suggestion is that the effectiveness of a technology transfer tool can be better assessed by taking into account the possible crowding-out effects with other channels of knowledge transfer. We do so for Italy, by comparing the behavior of single researchers, before and after the establishment of their own firm, with the behavior of a control group. We assess whether those academics that founded their own firm significantly change their attitude to perform research collaborations with other firms by means of co-publication and co-patenting. We also verify whether creating a firm has an impact on the overall patenting and publication performance. Our results suggest that there is a negative effect on the overall publishing performance, while the patenting activity does not change significantly. Regarding co-publications, our results confirm the existence of a substitution effect between spin-offs and co-publication with firms, while we observe an increase in the case of co-patenting. A closer look at the data, however, suggests that the latter is mainly triggered by the patenting activity that the researcher performs with his or her own company. {\textcopyright} 2016, Springer Science+Business Media New York.

}, keywords = {Academic entrepreneurship, Behavioral research, Economic and social effects, Knowledge management, Patenting activities, Patents and inventions, Policy evaluation, Policy implications, Propensity score matching, Public policy, Publishing, Research collaborations, Spin off, Substitution effect, Technology Transfer}, issn = {08929912}, doi = {10.1007/s10961-016-9482-7}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84968547880\&doi=10.1007\%2fs10961-016-9482-7\&partnerID=40\&md5=2133632f90803ed24d87019494bbaefb}, author = {Barbieri, E. and Rubini, L. and Pollio, C. and Micozzi, A.} } @article {586, title = {Local variety and firm diversification: An evolutionary economic geography perspective}, journal = {Journal of Economic Geography}, volume = {16}, year = {2016}, pages = {1079-1100}, publisher = {Oxford University Press}, abstract = {

The aim of this article is to investigate whether and how local agglomeration forces-related and unrelated variety-influence firm diversification. Using a large dataset of 5112 Italian manufacturing business groups for the year 2001, and estimating Tobit models, we show the {\textquoteright}consistency{\textquoteright} between the patterns of firm diversification and that of the local system in which the firm is located. Specifically, firms located in local systems dominated by unrelated variety are more likely to show unrelated diversification patterns, while firms located in local systems dominated by related variety are more likely to show related diversification patterns. This supports the Evolutionary Economic Geography prediction of firm similarity {\textquoteright}within{\textquoteright} the same local system, and firm heterogeneity {\textquoteright}between{\textquoteright} different local systems. {\textcopyright} The Author (2015). Published by Oxford University Press.

}, keywords = {agglomeration, economic geography, heterogeneity, Italy, manufacturing}, issn = {14682702}, doi = {10.1093/jeg/lbv040}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991358593\&doi=10.1093\%2fjeg\%2flbv040\&partnerID=40\&md5=2df594c1e634fdf0a03cda9b19d3f804}, author = {Cainelli, G. and Iacobucci, D.} }