The dynamizing role of universities in industrial clusters. The case of a Spanish textile cluster

References

• Abramo, G., D’Angelo, C. A., & Di Costa, F. (2011). University-industry research collaboration: A model to assess university capability. Higher Education, 62(2), 163–181. https://doi.org/10.1007/s10734-010-9372-0
   Web of Science ®Google Scholar
• Agasisti, T., Barra, C., & Zotti, R. (2019). Research, knowledge transfer, and innovation: The effect of Italian universities’ efficiency on local economic development 2006 − 2012. Journal of Regional Science, 59(5), 819–849. https://doi.org/10.1111/jors.12427
   Web of Science ®Google Scholar
• Alberti, F. G. (2006). The decline of the industrial district of Como: Recession, relocation or reconversion? Entrepreneurship & Regional Development, 18(6), 473–501. https://doi.org/10.1080/08985620600884792
   Web of Science ®Google Scholar
• Arroyo-Vázquez, M., van der Sijde, P., & Jiménez-Sáez, F. (2010). Innovative and creative entrepreneurship support services at universities. Service Business, 4(1), 63–76. https://doi.org/10.1007/s11628-009-0084-4
   Web of Science ®Google Scholar
• Bastian, M., Heymann, S., Jacomy, M. (2009). Gephi: An open source software for exploring and manipulating networks. Paper presented at the International AAAI Conference on Weblogs and Social Media, North America. http://www.aaai.org/ocs/index.php/ICWSM/09/paper/view/154
   Google Scholar
• Becattini, G. (1990). The Marshallian industrial district as a socio-economic notion. In F. Pyke, G. Becattini, & W. Sengenberger (Eds.), Industrial districts and local economic regeneration (Vol. en). International Institute for Labor Studies.
   Google Scholar
• Belussi, F., & Sedita, S. R. (2009). Life cycle vs. multiple path dependency in industrial districts. European Planning Studies, 17(4), 505–528. https://doi.org/10.1080/09654310802682065
   Web of Science ®Google Scholar
• Bernard, R. H. (2011). Research methods in anthropology: Qualitative and quantitative approaches. Altamira Press.
   Google Scholar
• Boix, R., & Galletto, V. (2006, June 20–22). Mapping Marshallian Industrial Districts in Spain. In EUNIP International Conference 2006. University of Limerick (Ireland).
   Google Scholar
• Borgatti, S. P., Everett, M., & Freeman, L. (2002). Ucinet for Windows: Software for Social Network Analysis. Analytic Technologies.
   Google Scholar
• Bramwell, A., & Wolfe, D. A. (2008). Universities and regional economic development: The entrepreneurial University of Waterloo. Research Policy, 37(8), 1175–1187. https://doi.org/10.1016/j.respol.2008.04.016
   Web of Science ®Google Scholar
• Capó-Vicedo, J., Molina-Morales, F. X., & Expósito-Langa, M. (2012). The role played by the university in a changing scenario. A social network analysis of the Valencian textile district. Sviluppo Locale, 15(39), 17–43.
   Google Scholar
• Coburn, C. E., & Russell, J. L. (2008). District policy and teachers' social networks. Educational Evaluation and Policy Analysis, 30(3), 203–235. https://doi.org/10.3102/0162373708321829
   Web of Science ®Google Scholar
• Cohen, W. M., Nelson, R. R., & Walsh, J. P. (2002). Links and impacts: The influence of public research on industrial R&D. Management Science, 48(1), 1–23. https://doi.org/10.1287/mnsc.48.1.1.14273
   Web of Science ®Google Scholar
• Doutriaux, J. (2003). University-industry linkages and the development of knowledge clusters in Canada. Local Economy: The Journal of the Local Economy Policy Unit, 18(1), 63–79. https://doi.org/10.1080/0269094032000073843
   Google Scholar
• Expósito-Langa, M., Molina-Morales, F. X., & Capo-Vicedo, J. (2011). New product development and absorptive capacity in industrial districts: A multidimensional approach. Regional Studies, 45(3), 319–331. https://doi.org/10.1080/00343400903241535
   Web of Science ®Google Scholar
• Fontana, R., Geuna, A., & Matt, M. (2006). Factors affecting university-industry R&D projects: The importance of searching, screening and signalling. Research Policy, 35(2), 309–323. https://doi.org/10.1016/j.respol.2005.12.001
   Web of Science ®Google Scholar
• Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239. https://doi.org/10.1016/0378-8733(78)90021-7
   Web of Science ®Google Scholar
• Fruchterman, T. M. J., & Reingold, E. M. (1991). Graph drawing by force-directed placement. Software: Practice and Experience, 21(11), 1129–1164.
   Web of Science ®Google Scholar
• Geiger, R. L., & Sá, C. M. (2008). Tapping the riches of science: Universities and the promise of economic growth. Harvard University Press.
   Google Scholar
• Gertler, M. S. (2010). Rules of the game: The place of institutions in regional economic change. Regional Studies, 44(1), 1–15. https://doi.org/10.1080/00343400903389979
   Web of Science ®Google Scholar
• Giuliani, E. (2007). The selective nature of knowledge networks in clusters: Evidence from the wine industry. Journal of Economic Geography, 7(2), 139–168. https://doi.org/10.1093/jeg/lbl014
   Web of Science ®Google Scholar
• Giuliani, E., & Bell, M. (2005). The micro-determinants of meso-level learning and innovation: Evidence from a Chilean wine cluster. Research Policy, 34(1), 47–68. https://doi.org/10.1016/j.respol.2004.10.008
   Web of Science ®Google Scholar
• Giuliani, E., & Pietrobelli, C. (2011). Social network analysis – Methodologies for the evaluation of cluster development programs. Inter-American Development Bank.
   Google Scholar
• Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2006). Multivariate data analysis. Prentice Hall.
   Google Scholar
• Hanneman, R. A., & Riddle, M. (2001). Social network analysis. University of California, Riverside.
   Google Scholar
• Hirsch‐Kreinsen, H. (2008). “Low‐tech” innovations. Industry and Innovation, 15(1), 19–43. https://doi.org/10.1080/13662710701850691
   Web of Science ®Google Scholar
• Hirsch‐Kreinsen, H., Jacobson, D., & Robertson, P. L. (2006). Low‐tech’industries: Innovativeness and development perspectives. A summary of a European research project. Prometheus, 24(1), 3–21. https://doi.org/10.1080/08109020600563762
   Google Scholar
• Hirsch-Kreinsen, H., Jacobson, D., Laestadius, S., & Smith, K. (2005). Low and medium technology industries in the knowledge economy: The analytical issues. In H. Hirsch-Kreinsen, D. Jacobson, & S. Laestadius (Eds.), Low-tech innovation in the knowledge economy (pp. 11–30). Peter Lang.
   Google Scholar
• Kamath, A. (2014). Industrial innovation, networks, and economic development: Informal information sharing in low-technology clusters in India (Vol. 115). Routledge.
   Google Scholar
• Kamath, A. (2015). Information sharing through informal interaction in low-tech clusters. Innovation and Development, 5(1), 170–171. https://doi.org/10.1080/2157930X.2015.1007570
   Google Scholar
• Kenney, M., & Patton, D. (2009). Reconsidering the Bayh-Dole Act and the current university invention ownership model. Research Policy, 38(9), 1407–1422. https://doi.org/10.1016/j.respol.2009.07.007
   Web of Science ®Google Scholar
• Klofsten, M., Fayolle, A., Guerrero, M., Mian, S., Urbano, D., & Wright, M. (2019). The entrepreneurial university as driver for economic growth and social change-key strategic challenges. Technological Forecasting and Social Change, 141, 149–158. https://doi.org/10.1016/j.techfore.2018.12.004
   Web of Science ®Google Scholar
• Lane, P. J., Koka, B. R., & Pathak, S. (2006). The reification of absorptive capacity: A critical review and rejuvenation of the construct. Academy of Management Review, 31(4), 833–863. https://doi.org/10.5465/amr.2006.22527456
   Web of Science ®Google Scholar
• Lane, P. J., & Lubatkin, M. (1998). Relative absorptive capacity and interorganizational learning. Strategic Management Journal, 19(5), 461–477. https://doi.org/10.1002/(SICI)1097-0266(199805)19:5<461::AID-SMJ953>3.0.CO;2-L
   Web of Science ®Google Scholar
• Laumann, E. O., Galaskiewicz, J., & Marsden, P. V. (1978). Community structure as interorganizational linkages. Annual Review of Sociology, 4(1), 455–484. https://doi.org/10.1146/annurev.so.04.080178.002323
   Web of Science ®Google Scholar
• Laursen, K., & Salter, A. (2004). Searching high and low: What types of firms use universities as a source of innovation? Research Policy, 33(8), 1201–1215. https://doi.org/10.1016/j.respol.2004.07.004
   Web of Science ®Google Scholar
• Lissoni, F. (2001). Knowledge codification and the geography of innovation: The case of Brescia mechanical cluster. Research Policy, 30(9), 1479–1500. https://doi.org/10.1016/S0048-7333(01)00163-9
   Web of Science ®Google Scholar
• Lund Vinding, A. (2006). Absorptive capacity and innovative performance: A human capital approach. Economics of Innovation and New Technology, 15(4–5), 507–517. https://doi.org/10.1080/10438590500513057
   Google Scholar
• Mangematin, V., & Nesta, L. (1999). What kind of knowledge can a firm absorb? International Journal of Technology Management, 18(3–4), 149–172. https://doi.org/10.1504/IJTM.1999.002771
   Web of Science ®Google Scholar
• Marabelli, M., & Newell, S. (2014). Knowing, power and materiality: A critical review and reconceptualization of absorptive capacity. International Journal of Management Reviews, 16(4), 479–499. https://doi.org/10.1111/ijmr.12031
   Web of Science ®Google Scholar
• McEvily, B., & Zaheer, A. (1999). Bridging ties: A source of firm heterogeneity in competitive capabilities. Strategic Management Journal, 20(12), 1133–1156. https://doi.org/10.1002/(SICI)1097-0266(199912)20:12<1133::AID-SMJ74>3.0.CO;2-7
   Web of Science ®Google Scholar
• Molina-Morales, F. X. (2005). The territorial agglomerations of firms: A social capital perspective from the Spanish tile industry. Growth and Change, 36(1), 74–99. https://doi.org/10.1111/j.1468-2257.2005.00267.x
   Web of Science ®Google Scholar
• Molina-Morales, F. X., Capó-Vicedo, J., Teresa Martínez-Fernández, M., & Expósito-Langa, M. (2013). Social capital in industrial districts: Influence of the strength of ties and density of the network on the sense of belonging to the district. Papers in Regional Science, 92(4), 773–789. https://doi.org/10.1111/j.1435-5957.2012.00463.x
   Web of Science ®Google Scholar
• Molina-Morales, F. X., López-Navarro, M. A., & Guia-Julve, J. (2002). The role of local institutions as intermediary agents in the industrial district. European Urban and Regional Studies, 9(4), 315–329. https://doi.org/10.1177/096977640200900403
   Web of Science ®Google Scholar
• Molina-Morales, F. X., & Martínez-Fernández, M. T. (2008). Shared resources in industrial districts: Information, know-how and institutions in the Spanish tile industry. International Regional Science Review, 31(1), 35–61. https://doi.org/10.1177/0160017607306327
   Web of Science ®Google Scholar
• Molina-Morales, F. X., & Martínez-Fernández, M. T. (2010). Social networks: Effects of social capital on firm innovation. Journal of Small Business Management, 48(2), 258–279. https://doi.org/10.1111/j.1540-627X.2010.00294.x
   Web of Science ®Google Scholar
• Morrison, A. (2008). Gatekeepers of knowledge' within industrial districts: Who they are, how they interact. Regional Studies, 42(6), 817–835. https://doi.org/10.1080/00343400701654178
   Web of Science ®Google Scholar
• Morrison, A., & Rabellotti, R. (2009). Knowledge and information networks in an Italian wine cluster. European Planning Studies, 17(7), 983–1006. https://doi.org/10.1080/09654310902949265
   Web of Science ®Google Scholar
• OECD. (2002). Frascati manual 2002: Proposed standard practice for surveys on research and experimental development. OECD.
   Google Scholar
• Parmentola, A., Ferretti, M., & Panetti, E. (2020). Exploring the university-industry cooperation in a low innovative region. What differences between low tech and high tech industries? International Entrepreneurship and Management Journal, 17(3), 1469–1496.
   Web of Science ®Google Scholar
• Phelps, C., Heidl, R., & Wadhwa, A. (2012). Knowledge, networks, and knowledge networks a review and research agenda. Journal of Management, 38(4), 1115–1166. https://doi.org/10.1177/0149206311432640
   Web of Science ®Google Scholar
• Piore, M. (1990). Work, labor and action: Work experience in a system of flexible production. In F. Pyke, G. Becattini & W. Sengenberger (Eds.), Industrial districts and inter-firm cooperation in Italy (pp. 52–74). International Institute for Labor Studies.
   Google Scholar
• Porter, M. E. (1998). Clusters and the new economics of competition. Harvard Business Review, 76(6), 77–90.
   PubMed Web of Science ®Google Scholar
• Ramírez-Pasillas, M. (2010). International trade fairs as amplifiers of permanent and temporary proximities in clusters. Entrepreneurship & Regional Development, 22(2), 155–187. https://doi.org/10.1080/08985620902815106
   Web of Science ®Google Scholar
• Rasmussen, E., Mosey, S., & Wright, M. (2014). The influence of university departments on the evolution of entrepreneurial competencies in spin-off ventures. Research Policy, 43(1), 92–106. https://doi.org/10.1016/j.respol.2013.06.007
   Web of Science ®Google Scholar
• Sá, C. M. (2011). Redefining university roles in regional economies: A case study of university-industry relations and academic organization in nanotechnology. Higher Education, 61(2), 193–208. https://doi.org/10.1007/s10734-010-9332-8
   Web of Science ®Google Scholar
• Sammarra, A., & Belussi, F. (2006). Evolution and relocation in fashion-led Italian districts: Evidence from two case-studies. Entrepreneurship & Regional Development, 18(6), 543–562. https://doi.org/10.1080/08985620600884685
   Web of Science ®Google Scholar
• Sandven, T., Smith, K., & Kaloudis, A. (2005). Structural change, growth and innovation: The roles of medium and low-tech industries, 1980–2000. In H. Hirsch-Kreinsen, D. Jacobson, & S. Laestadius (Eds.), Low-tech innovation in the knowledge economy (pp. 31–59). Peter Lang.
   Google Scholar
• Santamaría, L., Nieto, M. J., & Barge-Gil, A. (2009). Beyond formal R&D: Taking advantage of other sources of innovation in low-and medium-technology industries. Research Policy, 38(3), 507–517. https://doi.org/10.1016/j.respol.2008.10.004
   Web of Science ®Google Scholar
• Segarra-Blasco, A., & Arauzo-Carod, J.-M. (2008). Sources of innovation and industry–university interaction: Evidence from Spanish firms. Research Policy, 37(8), 1283–1295. https://doi.org/10.1016/j.respol.2008.05.003
   Web of Science ®Google Scholar
• Stork, D., & Richards, W. D. (1992). Nonrespondents in communication network studies: Problems and possibilities. Group & Organization Management, 17(2), 193–209. https://doi.org/10.1177/1059601192172006
   Web of Science ®Google Scholar
• Storper, M. (1992). The limits of the globalization: Technology districts and international trade. Economic Geography, 68(1), 60–93. https://doi.org/10.2307/144041
   Web of Science ®Google Scholar
• Uzzi, B., & Spiro, J. (2005). Collaboration and creativity: The small world problem. American Journal of Sociology, 111(2), 447–504. https://doi.org/10.1086/432782
   Web of Science ®Google Scholar
• Van den Bosch, F., Volberda, H. W., & de Boer, M. (1999). Coevolution of firm absorptive capacity and knowledge environment: Organizational forms and combinative capabilities. Organization Science, 10(5), 551–568. https://doi.org/10.1287/orsc.10.5.551
   Web of Science ®Google Scholar
• Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge University Press.
   Google Scholar
• Wolfe, D. A. (2005). The role of universities in regional development and cluster formation. In G. Jones, P. McCarney, & M. Skolnick (Eds.), Creating knowledge, strengthening nations (pp. 167–194). Toronto Press.
   Google Scholar
• Yin, R. K. (1989). Case study research, design and methods. Sage.
   Google Scholar