The influence of the technological regime on the performance of Italian innovative start-ups

References

• Agostini, L., and A. Nosella. 2017. “A Dual Knowledge Perspective on the Determinants of SME Patenting: Results of an Empirical Investigation.” Management Decision 55 (6): 1226–1247.
   Web of Science ®Google Scholar
• Ahlstrom, D., J. L. Arregle, M. A. Hitt, G. Qian, X. Ma, and D. Faems. 2020. “Managing Technological, Sociopolitical, and Institutional Change in the New Normal.” Journal of Management Studies 57 (3): 411–437.
   Web of Science ®Google Scholar
• Albors-Garrigos, J., N. Zabaleta, and J. Ganzarain. 2010. “New R&D Management Paradigms: Rethinking Research and Technology Organizations Strategies in Regions.” R&D Management 40 (5): 435–454.
   Web of Science ®Google Scholar
• Audretsch, D. B. 1990. “The Technological Regime and Small-Firm Turbulence.” International Small Business Journal 9 (1): 80–97.
   Google Scholar
• Audretsch, D. B. 1991. “New-Firm Survival and the Technological Regime.” Review of Economics and Statistics 17 (3): 441–450.
   Google Scholar
• Audretsch, D. B., J. Cunningham, D. Kuratko, E. Lehmann, and M. Menter. 2019. “Entrepreneurial Ecosystems: Economic, Technological, and Societal Impacts.” Journal of Technology Transfer 44 (2): 313–325.
   PubMed Web of Science ®Google Scholar
• Audretsch, D. B., A. Segarra, and M. Teruel. 2014. “Why Don’t All Young Firms Invest in R&D?” Small Business Economics 43 (4): 751–766.
   Web of Science ®Google Scholar
• Bandarian, R. 2018. “Strategic Research and Technology Management in Research and Technology Organisations.” International Journal of Technology, Policy and Management 18 (4): 360–377.
   Google Scholar
• Barbieri, N., and D. Consoli. 2019. “Regional Diversification and Green Employment in US Metropolitan Areas.” Research Policy 48 (3): 693–705.
   Web of Science ®Google Scholar
• Baten, M. A., A. Kamil, and M. Haque. 2009. “Modeling Technical Inefficiencies Effects in a Stochastic Frontier Production Function for Panel Data.” African Journal of Agricultural Research 4 (12): 1374–1382.
   Web of Science ®Google Scholar
• Battese, G. E., and T. J. Coelli. 1995. “A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data.” Empirical Economics 20 (2): 325–332.
   Google Scholar
• Belsley, D. A., D. Kuh, and R. Welsch. 1980. Regression Diagnostics. New York: John Wiley.
   Google Scholar
• Breschi, S., F. Malerba, and L. Orsenigo. 2000. “Technological Regimes and Schumpeterian Patterns of Innovation.” The Economic Journal 110 (463): 388–410.
   Web of Science ®Google Scholar
• Cheah, S., C. Bellavitis, and A. Muscio. 2020. “The Impact of Technology Complexity on the Financial Performance of R&D Projects: Evidence from Singapore.” Journal of Technology Transfer. doi:10.1007/s10961-020-09777-7.
   Web of Science ®Google Scholar
• Cohen, W. M., and D. A. Levinthal. 1990. “Absorptive Capacity: A New Perspective on Learning and Innovation.” Administrative Science Quarterly 35 (1): 128–152.
   Web of Science ®Google Scholar
• Colombelli, A., L. Grilli, T. Minola, and B. Mrkajic. 2020. “To What Extent do Young Innovative Companies Take Advantage of Policy Support to Enact Innovation Appropriation Mechanisms?” Research Policy 49 (10): 103797.
   Web of Science ®Google Scholar
• Colombelli, A., J. Krafft, and M. Vivarelli. 2016. “To Be Born Is Not Enough: The Key Role of Innovative Start-ups.” Small Business Economics 47 (2): 277–291.
   Web of Science ®Google Scholar
• Ernst, H., J. Conley, and N. Omland. 2016. “How to Create Commercial Value from Patents: The Role of Patent Management.” R&D Management 46 (S2): 677–690.
   Web of Science ®Google Scholar
• Giudici, G., M. Guerini, and C. Rossi-Lamastra. 2019. “The Creation of Cleantech Startups at the Local Level: The Role of Knowledge Availability and Environmental Awareness.” Small Business Economics 52 (4): 815–830.
   Web of Science ®Google Scholar
• Grimpe, C., M. Murmann, and W. Sofka. 2019. “Organizational Design Choices of High-Tech Startups: How Middle Management Drives Innovation Performance.” Strategic Entrepreneurship Journal 13 (3): 359–378.
   Web of Science ®Google Scholar
• Hair, J. F., R. Anderson, R. Tatham, and W. Black. 1995. Multivariate Data Analysis. New York: Macmillan.
   Google Scholar
• Heij, C. V., H. Volberda, F. Van den Bosch, and R. Hollen. 2020. “How to Leverage the Impact of R&D on Product Innovation? The Moderating Effect of Management Innovation.” R&D Management 50 (2): 277–294.
   Web of Science ®Google Scholar
• Huang, S., J. Chen, and K. Wang. 2019. “The Effect of External Partner Heterogeneity on Open Innovation: The Moderating Role of the Technological Regime.” Technology Analysis & Strategic Management 31 (5): 593–605.
   Web of Science ®Google Scholar
• Johnston, R., K. Jones, and D. Manley. 2018. “Confounding and Collinearity in Regression Analysis: A Cautionary Tale and an Alternative Procedure, Illustrated by Studies of British Voting Behaviour.” Quality & Quantity 52 (4): 1957–1976.
   PubMedGoogle Scholar
• Karlaftis, M. 2010. “Ownership and Competition in European Transit: Assessing Efficiency.” Transportmetrica 6 (2): 143–160.
   Web of Science ®Google Scholar
• Karlaftis, M., and D. Tsamboulas. 2012. “Efficiency Measurement in Public Transport: Are Findings Specification Sensitive?” Transportation Research Part A: Policy and Practice 46 (2): 392–402.
   Web of Science ®Google Scholar
• Kim, J. H. 2019. “Multicollinearity and Misleading Statistical Results.” Korean Journal of Anesthesiology 72 (6): 558–569.
   PubMed Web of Science ®Google Scholar
• Kim, E., Y. Euh, J. Yoo, J. Lee, Y. Jo, and D. Lee. 2020. “Which Business Strategy Improves ICT Startup Companies’ Technical Efficiency?” Technology Analysis & Strategic Management. doi:10.1080/09537325.2020.1849612.
   Web of Science ®Google Scholar
• Kumbhakar, S. C., C. Parmeter, and V. Zelenyuk. 2020. “Stochastic Frontier Analysis: Foundations and Advances I.” In Handbook of Production Economics, edited by S. Ray, R. Chambers, and S. Kumbhakar, 1–39. Singapore: Springer.
   Google Scholar
• Lang, G. 2009. “Measuring the Returns of R&D-An Empirical Study of the German Manufacturing Sector Over 45 Years.” Research Policy 38 (9): 1438–1445.
   Web of Science ®Google Scholar
• Lee, J. S., J. Park, and Z. Bae. 2017. “The Effects of Licensing-in on Innovative Performance in Different Technological Regimes.” Research Policy 46 (2): 485–496.
   Web of Science ®Google Scholar
• Marquardt, D. W. 1980. “You Should Standardize the Predictor Variables in Your Regression Models: Discussion of: A Critique of Some Ridge Regression Methods.” Journal of the American Statistical Association 75 (369): 87–91.
   Google Scholar
• Mas-Tur, A., and V. Moya. 2015. “Young Innovative Companies (YICs) and Entrepreneurship Policy.” Journal of Business Research 68 (7): 1432–1435.
   Web of Science ®Google Scholar
• Matricano, D. 2020a. “The Effect of R&D Investments, Highly Skilled Employees, and Patents on the Performance of Italian Innovative Startups.” Technology Analysis & Strategic Management 32 (10): 1195–1208.
   Web of Science ®Google Scholar
• Matricano, D. 2020b. “Economic and Social Development Generated by Innovative Startups: Does Heterogeneity Persist Across Italian Macro-regions?” Economics of Innovation and New Technology. doi:10.1080/10438599.2020.1823675.
   Web of Science ®Google Scholar
• Matricano, D. 2022. “The Influence of Gender on Technology Transfer Processes Managed in Italian Young Innovative Companies: A Stochastic Frontier Analysis.” Technovation 111. doi:10.1016/j.technovation.2021.102383.
   Web of Science ®Google Scholar
• Mudambi, R., and T. Swift. 2011. “Proactive R&D Management and Firm Growth: A Punctuated Equilibrium Model.” Research Policy 40 (3): 429–440.
   Web of Science ®Google Scholar
• Nicholls-Nixon, C. L. 1995. “Responding to Technological Change: Why Some Firms Do and Others Die.” The Journal of High Technology Management Research 6 (1): 1–16.
   Google Scholar
• Nicholls-Nixon, C. L., and C. Woo. 2003. “Technology Sourcing and Output of Established Firms in a Regime of Encompassing Technological Change.” Strategic Management Journal 24 (7): 651–666.
   Web of Science ®Google Scholar
• Radžienė, V., and J. Sekliuckienė. 2020. “The use of Organizational Learning Practices in Start-ups Growth.” Entrepreneurial Business and Economics Review 8 (1): 71–89.
   Web of Science ®Google Scholar
• Reifschneider, D., and R. Stevenson. 1991. “Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency.” International Economic Review 32 (3): 715–723.
   Web of Science ®Google Scholar
• Rocha, C., D. Mamédio, and C. Quandt. 2019. “Startups and the Innovation Ecosystem in Industry 4.0.” Technology Analysis & Strategic Management 31 (12): 1474–1487.
   Web of Science ®Google Scholar
• Santisteban, J., D. Mauricio, and O. Cachay. 2021. “Critical Success Factors for Technology-Based Startups.” International Journal of Entrepreneurship and Small Business 42 (4): 397–421.
   Google Scholar
• Schumpeter, J. 1950. Capitalism Socialism and Democracy. New York: Harper and Row.
   Google Scholar
• Seo, Y., and Y. Lee. 2019. “Effects of Internal and External Factors on Business Performance of Start-ups in South Korea: The Engine of new Market Dynamics.” International Journal of Engineering Business Management 11: 1–12.
   Web of Science ®Google Scholar
• Song, M., S. Hooshangi, Y. Zhao, and J. Halman. 2014. “How Does Technological Regime Affect Performance of Technology Development Projects?” Journal of Product Innovation Management 31 (1): 60–74.
   Google Scholar
• Wang, X., Yang, X., Wang, X., Xia, M., and Wang, J. 2020. “Evaluating the Competitiveness of Enterprise's Technology Based on LDA Topic Model.” Technology Analysis & Strategic Management 32 (2): 208–222.
   Google Scholar
• Winter, S. G. 1984. “Schumpeterian Competition in Alternative Technological Regimes.” Journal of Economic Behavior & Organization 5 (3–4): 287–320.
   Web of Science ®Google Scholar
• Zhao, B., and R. Ziedonis. 2020. “State Governments as Financiers of Technology Startups: Evidence from Michigan’s R&D Loan Program.” Research Policy 49 (4): 103926.
   Web of Science ®Google Scholar