Quadruple Helix and firms’ performance: an empirical verification in Europe

Journal of Technology Transfer

Volumn 42, Issue 2, 2017, Pages 267-284

  Campanella, Francesco ^a   Della Peruta, Maria Rosaria ^a   Bresciani, Stefano ^b   Dezi, Luca ^c  

^a SECOND UNIVERSITY OF NAPLES   (Italy)

^b UNIVERSITY OF TURIN   (Italy)

^c UNIVERSITY OF NAPLES PARTHENOPE   (Italy)

Author keywords

Classification and regression trees; Firms performance; Innovation; Quadruple Helix; Science parks

Indexed keywords

ELECTRONIC PROPERTIES; FORESTRY; INVESTMENTS; PROFITABILITY;

CLASSIFICATION ANALYSIS; CLASSIFICATION AND REGRESSION TREE; ECONOMIC PERFORMANCE; FINANCIAL INSTITUTION; GOVERNANCE SYSTEMS; MANUFACTURING FIRMS; QUADRUPLE HELICES; SCIENCE PARK;

INNOVATION;

EID: 84984920990     PISSN: 08929912     EISSN: 15737047     Source Type: Journal    
DOI: 10.1007/s10961-016-9500-9     Document Type: Article

References (80)

1. Afuah, A. (2002). Innovation management: Strategies, implementation, and profits (2nd ed.). New York: Oxford University Press.
2. Altmann, A., & Ebersberger, B. (Eds.). (2012). Universities in change: Managing higher education institutions in the age of globalization. Berlin: Springer.
3. Andersson, T., Formica, P., & Curley, M. G. (2009). Knowledge-driven entrepreneurship: the key to social and economic transformation. Berlin: Springer.
4. Andone, I. & Sireteanu, N.A. (2009). A combination of two classification techniques for businesses bankruptcy prediction. Working Paper.
5. Arnkil, R., Järvensivu, A., Koski, P., & Piirainen, T. (2010). Exploring the quadruple helix. Report of quadruple helix research for the CLIQ project. Tampere: Work Research Centre, University of Tampere.
6. Betz, F. (2010). Managing science: Methodology and organization of research. Berlin: Springer.
7. Brida, J. G., Gómez, D. M., & Risso, W. A. (2009). Symbolic hierarchical analysis in currency markets: An application to contagion in currency crises. Expert Systems with Applications, 36(4), 7721–7728.
8. Brida, J.G., Pulina, M., Riaño, E.M.M. & Zapata-Aguirre, S. (2010). A classification and regression tree (CART) to analyse cruisers’ expenditure pattern and perception in a port of call. Working Paper.
9. Cai Y (2013) Enhancing context sensitivity of the Triple Helix model: An institutional logics perspective. The Triple Helix XI International Conference, London.
10. Campanella, F. (2014). Assess the rating of SMEs by using classification and regression trees (CART) with qualitative variables. Review of Economics and Finance, 4, 16–32.
11. Campanella, F., Del Giudice, M., & Della Peruta, M. R. (2013a). The role of information in the credit relationship. Journal of Innovation and Entrepreneurship, 2(1), 1–16.
12. Campanella, F., Della Peruta, M. R., & Del Giudice, M. (2013b). The role of sociocultural background on the characteristics and the financing of youth entrepreneurship. An exploratory study of university graduates in Italy. Journal of the Knowledge Economy, 4(3), 244–259.
13. Carayannis, E. G., Barth, T. D., & Campbell, D. F. (2012). The Quintuple Helix innovation model: global warming as a challenge and driver for innovation. Journal of Innovation and Entrepreneurship, 1(1), 1–12.
14. Carayannis, E. G., & Campbell, D. F. (2009). ‘Mode 3′and’Quadruple Helix’: toward a 21st century fractal innovation ecosystem. International Journal of Technology Management, 46(3), 201–234.
15. Carayannis, E. G., & Campbell, D. F. (2011). Open innovation diplomacy and a 21st century fractal research, education and innovation (FREIE) ecosystem: building on the quadruple and quintuple helix innovation concepts and the “mode 3” knowledge production system. Journal of the Knowledge Economy, 2(3), 327–372.
16. Carayannis, E. G., Dubina, I. N., & Campbell, D. F. J. (2011). Creative economy and a crisis of the economy? Coevolution of knowledge, innovation, and creativity, and the knowledge economy and knowledge society. Journal of the Knowledge Economy, 3(1), 1–24.
17. Carayannis, E. G., Meissner, D., & Edelkina, A. (2015a). Targeted innovation policy and practice intelligence (TIP2E): concepts and implications for theory, policy and practice. The Journal of Technology Transfer, 1-25.
18. Carayannis, E. G., Popescu, D., Sipp, C., & Stewart, M. (2006). Technological learning for entrepreneurial development (TL4ED) in the knowledge economy (KE): Case studies and lessons learned. Technovation, 26(4), 419–443.
19. Carayannis, E. G., & Rakhmatullin, R. (2014). The quadruple/quintuple Innovation Helixes and Smart Specialisation Strategies for Sustainable and Inclusive Growth in Europe and Beyond. Journal of the Knowledge Economy, 5(2), 212–239.
20. Carayannis, E. G., Sindakis, S., & Walter, C. (2015b). Business model innovation as lever of organizational sustainability. The Journal of Technology Transfer, 40(1), 85–104.
21. Cho, M. H. (2014). Technological catch-up and the role of universities: South Korea’s innovation-based growth explained through the Corporate Helix model. Triple Helix, 1(1), 1–20.
22. Colapinto, C., & Porlezza, C. (2012). Innovation in creative industries: from the quadruple helix model to the systems theory. Journal of the Knowledge Economy, 3(4), 343–353.
23. Deakin, M. (2010). SCRAN’s development of a Trans-National Comparator for the Standardisation of eE-Government Services. In C. Reddick (Ed.), Comparative E-government: An Examination of E-Government Across Countries. Berlin: Springer Press.
24. Deakin, M. (2011). The embedded intelligence of smart cities. International Journal of Intelligent Buildings, 3(2), 189–197.
25. Deakin, M., & Leydesdorff, L. (2011). The triple helix of smart cities: a neo-evolutionary perspective. Journal of Urban Technology, 18(2), 53–63.
26. Deakin, M., & Leydesdorff, L. (2014). The Triple Helix Model of Smart Cities: a neo-evolutionary perspective. In Mark Deakin (Ed.), Smart cities: Governing, modelling and analysing the transition (pp. 134–149). London/New York: Routledge.
27. Del Giudice, M., Carayannis, E. G., & Della Peruta, M. R. (2012). Culture and Cooperative Strategies: Knowledge Management Perspectives. In Cross-Cultural Knowledge Management (pp. 49-62). Springer New York.
28. Del Giudice, M., Della Peruta, M. R., & Carayannis, E. (2013a). Unpacking open innovation. highlights from a co-evolutionary inquiry. New York: Palgrave Macmillan.
29. Del Giudice, M., Della Peruta, M. R., & Maggioni, V. (2013b). Collective knowledge and organizational routines within academic communities of practice: An empirical research on science-entrepreneurs. Journal of the Knowledge Economy, 4(3), 260–278.
30. Del Giudice, M., & Maggioni, V. (2014). Managerial practices and operative directions of knowledge management within inter-firm networks: a global view. Journal of Knowledge Management, 18(5), 841–846.
31. Del Giudice, M., & Straub, D. (2011). IT and entrepreneurism: an on-again, off-again love affair or a marriage? MIS Quarterly, 35(4), 3–8.
32. Della Peruta, M. R., Campanella, F., & Del Giudice, M. (2014). Knowledge sharing and exchange of information within bank and firm networks: the role of the intangibles on the access to credit. Journal of Knowledge Management, 18(5), 1036–1051.
33. Dubina, I. N., Carayannis, E. G., & Campbell, D. F. (2012). Creativity economy and a crisis of the economy? Coevolution of knowledge, innovation, and creativity, and of the knowledge economy and knowledge society. Journal of the Knowledge Economy, 3(1), 1–24.
34. Etzkowitz, H. (1998). The norms of entrepreneurial science: cognitive effects of the new university–industry linkages. Research Policy, 27(8), 823–833.
35. Etzkowitz, H. (2003). Research groups as ‘quasi-firms’: the invention of the entrepreneurial university. Research Policy, 32(1), 109–121.
36. Etzkowitz, H. (2008). The triple helix: university-industry-government innovation in action. Routledge.
37. Etzkowitz, H., & Leydesdorff, L. (1995). The Triple Helix–University-industry-government relations: A laboratory for knowledge based economic development. Easst Review, 14(1), 14–19.
38. Etzkowitz, H., & Leydesdorff, L. (2000). The Dynamics of Innovation: from National Systems and “Mode 2” to a Triple Helix of University-Industry-Government Relations. Research Policy, 29(2), 109–123.
39. Etzkowitz, H., Webster, A., Gebhardt, C., & Terra, B. (2000). The Future of the University and the University of the Future: the Evolution of Ivory Tower to Entrepreneurial Paradigm. Research Policy, 29(2), 313–330.
40. Etzkowitz, H., Webster, A., & Healey, P. (Eds.). (1998). Capitalizing knowledge: New intersections of industry and academia. Suny Press.
41. Gouvea, R., Kassicieh, S., & Montoya, M. J. R. (2013). Using the quadruple helix to design strategies for the green economy. Technological Forecasting and Social Change, 80(2), 221–230.
42. Hafkesbrink, J., & Schroll, M. (2011). Innovation 3.0: embedding into community knowledge-collaborative organizational learning beyond open innovation. Journal of Innovation Economics & Management, 1, 55–92.
43. Hagedoorn, J. (1993). Interorganizational modes of cooperation. Strategic Management Journal, 14, 371–385.
44. Hagedoorn, J. (2002). Inter-firm R&D partnerships: An overview of major trends and patterns since 1960. Research Policy, 31(4), 477–492.
45. Hall, J., & Wagner, M. (2012). Integrating sustainability into firms’ processes: Performance effects and the moderating role of business models and innovation. Business Strategy and the Environment, 21(3), 183–196.
46. Hansen, E. G., Grosse-Dunker, F., & Reichwald, R. (2009). Sustainability innovation cube—A framework to evaluate sustainability-oriented innovations. International Journal of Innovation Management, 13(04), 683–713.
47. Howells, J. (2006). Intermediation and the role of intermediaries in innovation. Research Policy, 35(5), 715–728.
48. Kaufmann, A., & Toedtling, F. (2001). Science-industry interaction in the process of innovation: the importance of boundary-crossing. Between systems. Research Policy, 30(5), 791–804.
49. Kim, C. W., & Mauborgne, R. (2004). Value innovation: The strategic logic of high growth. Harvard Business Review, 82(7–8), 172–180.
50. Lemon, S. C., Roy, J., Clark, M. A., Friedmann, P. D., & Rakowski, W. (2003). Classification and regression tree analysis in public health: Methodological review and comparison with logistic regression. Annals of Behavioral Medicine, 26(3), 172–181.
51. Leydesdorff, L. (2012). The triple helix, quadruple helix,…, and an n-tuple of helices: Explanatory models for analyzing the knowledge-based economy? Journal of the Knowledge Economy, 3(1), 25–35.
52. Leydesdorff, L and Ahrweiler, P. (2013) In search of a network theory of innovations: relations, positions, and perspectives. Journal of the American Society for Information Science and Technology (JASIST), forthcoming. Available at SSRN: http://ssrn.com/abstract=2285487, or http://dx.doi.org/10.2139/ssrn.2285487.
53. Leydesdorff, L., & Etzkowitz, H. (1996). Emergence of a Triple Helix of university—industry—government relations. Science and public policy, 23(5), 279–286.
54. Leydesdorff, L., & Etzkowitz, H. (1998). The triple helix as a model for innovation studies. Science and public policy, 25(3), 195–203.
55. Leydesdorff, L., & Park, H. W. (2014). Can synergy in Triple Helix relations be quantified? A review of the development of the Triple Helix indicator. Triple Helix, 1(1), 1–18.
56. Leydesdorff, L., Park, H. W., & Lengyel, B. (2014). A routine for measuring synergy in university–industry–government relations: Mutual information as a Triple-Helix and Quadruple-Helix indicator. Scientometrics, 99(1), 27–35.
57. Lindberg, M., Danilda, I., & Torstensson, B. M. (2012). Women Resource Centres—a creative knowledge environment of quadruple helix. Journal of the Knowledge Economy, 3(1), 36–52.
58. Lindberg, M., Lindgren, M., & Packendorff, J. (2014). Quadruple Helix as a way to bridge the gender gap in entrepreneurship: the case of an innovation system project in the Baltic Sea region. Journal of the Knowledge Economy, 5(1), 94–113.
59. Lombardi, P., Del Bo, C., Calagliu, A., Deakin, M., & Nijkamp, P. (2011). An Advanced Triple-Helix Network Model for Smart Cities Performance in Ercoskun (O ed.). Green and Ecological Technologies for Urban Planning: ICI Publisher, Hershey.
60. MacGregor, S. P., & Carleton, T. (2011). Sustaining Innovation: Collaboration Models for a Complex World. Springer Science & Business Media.
61. MacGregor, S. P., Marques-Gou, P., & Simon-Villar, A. (2010). Gauging readiness for the quadruple helix: a study of 16 European organizations. Journal of the Knowledge Economy, 1(3), 173–190.
62. Maggioni, V., & Del Giudice, M. (2011). a cura di. Egea: Affari di famiglia.
63. Maldonado, V., Lobera, J., & Escrigas, C. (2009). The role of higher education in a new quadruple helix context. Triple Helix, 7, 17–19.
64. Mieg, H. A. (2012). Sustainability and innovation in urban development: concept and case. Sustainable Development, 20(4), 251–263.
65. Mieg, H. A., & Töpfer, K. (Eds.). (2013). Institutional and social innovation for sustainable urban development. London: Earthscan.
66. Nicotra, M., Romano, M., & Del Giudice, M. (2014). The evolution dynamic of a cluster knowledge network: the role of firms’ absorptive capacity. Journal of the Knowledge Economy, 5(2), 240–264.
67. Nidumolu, R., Prahalad, C. K., & Rangaswami, M. R. (2009). Why sustainability is now the key driver of innovation. Harvard Business Review, 87(9), 56–64.
68. Olshen, R., Breiman, L., Friedman, J.H. & Stone, C.J. (1984). Classification and Regression Trees. Wadsworth International Group.
69. Palacios-Marqués, D., Merigó, J. M., & Soto-Acosta, P. (2015a). Online social networks as an enabler of innovation in organizations. Management Decision, 53(9), 1906–1920.
70. Palacios-Marqués, D., Soto-Acosta, P., & Merigó, J. M. (2015b). Analyzing the effects of technological, organizational and competition factors on Web knowledge exchange in SMEs. Telematics and Informatics, 32(1), 23–32.
71. Park, H. W. (2014). Transition from the Triple Helix to N-Tuple Helices? An interview with Elias G. Carayannis and David FJ Campbell. Scientometrics, 99(1), 203–207.
72. Pfeffer, T. (2011). Virtualization of universities: Digital media and the organization of higher education institutions. Springer Science & Business Media.
73. Pisano, G. (2006). Profiting from innovation and the intellectual property revolution. Research Policy, 35(8), 1122–1130.
74. Razi, M. A., & Athappilly, K. (2005). A comparative predictive analysis of neural networks (NNs), nonlinear regression and classification and regression tree (CART) models. Expert Systems with Applications, 29(1), 65–74.
75. Rieu, A. M. (2014). Innovation today: the Triple Helix and research diversity. Triple Helix, 1(1), 1–22.
76. Sassen, S. (2003) The participation of states and citizens in global governance. Indiana Journal of Global Legal Studies, 10(1), Article 2.
77. Soto-Acosta, P., Casado-Lumbreras, C., & Cabezas-Isla, F. (2010). Shaping human capital in software development teams: the case of mentoring enabled by semantics. IET Software, 4(6), 445–452.
78. Soto-Acosta, P., Popa, S., & Palacios-Marqués, D. (2015). E-business, organizational innovation and firm performance in manufacturing SMEs: An empirical study in Spain. Technological and Economic Development of Economy,. doi:10.3846/20294913.2015.1074126.
79. Yang, Y., Holgaard, J. E., & Remmen, A. (2012). What can triple helix frameworks offer to the analysis of eco-innovation dynamics? Theoretical and methodological considerations. Science and Public Policy, 39(3), 373–385.
80. Yawson, Robert M., The Ecological System of Innovation: A New Architectural Framework for a Functional Evidence-Based Platform for Science and Innovation Policy (June 10, 2009). The Future of Innovation Proceedings of the XXIV ISPIM 2009 Conference, Vienna, Austria, June 21-24, 2009. Available at SSRN: http://ssrn.com/abstract=1417676 or http://dx.doi.org/10.2139/ssrn.1417676.