Industry–science collaboration for radical innovation: the discovery of phase-dependent collaborative configurations

References

• Adobor, H. (2006). Inter-firm collaboration: Configuration and dynamics. Competitiveness Review, 16, 122–134.
   Google Scholar
• Agrawal, A. (2001). University-to-industry knowledge transfer: Literature review and unanswered questions. International Journal of Management Reviews, 3, 285–302.10.1111/ijmr.2001.3.issue-4
   Web of Science ®Google Scholar
• Argote, L., McEvily, B., & Reagans, R. (2003). Managing knowledge in organizations: An integrative framework and review of emerging themes. Management Science, 49, 571–582.10.1287/mnsc.49.4.571.14424
   Web of Science ®Google Scholar
• Argyres, N. S., & Silverman, B. S. (2004). R&D, organization structure, and the development of corporate technological knowledge. Strategic Management Journal, 25, 929–958.10.1002/(ISSN)1097-0266
   Web of Science ®Google Scholar
• Barbolla, A. M. B., & Corredera, J. R. C. (2009). Critical factors for success in university-industry research projects. Technology Analysis & Strategic Management, 21, 599–616.
   Web of Science ®Google Scholar
• Bercovitz, J., & Feldman, M. (2006). Entrepreneurial universities and technology transfer: A conceptual framework for understanding knowledge-based economic development. Journal of Technology Transfer, 31, 175–188.10.1007/s10961-005-5029-z
   Google Scholar
• Bonaccorsi, A., & Piccaluga, A. (1994). A theoretical framework for the evaluation of university-industry relationships. R&D Management, 24, 229–247.
   Web of Science ®Google Scholar
• Boulton, D., & Hammersly, M. (1996). Analysis of unstructured data. In R. Sapford & V. Judd (Eds.), Data collection and analysis, (pp. 282–297). London: Sage Publishing.
   Google Scholar
• Bröring, S., & Herzog, P. (2008). Organising new business development: Open innovation at Degussa. European Journal of Innovation Management, 11, 330–348.10.1108/14601060810888991
   Google Scholar
• Bruneel, J., D’Este, P., & Salter, A. (2010). Investigating the factors that diminish the barriers to university-industry collaboration. Research Policy, 39, 858–868.10.1016/j.respol.2010.03.006
   Web of Science ®Google Scholar
• Cardinal, L. B. (2001). Technological innovation in the pharmaceutical industry: The use of organizational control in managing research and development. Organization Science, 12, 19–36.10.1287/orsc.12.1.19.10119
   Web of Science ®Google Scholar
• Cassiman, B., Pérez-Castrillo, D., & Veugelers, R. (2002). Endogenizing know-how flows through the nature of R&D-investments. International Journal of Industrial Organization, 20, 775–799.10.1016/S0167-7187(01)00084-4
   Web of Science ®Google Scholar
• Chesbrough, H. (2003). Open innovation: The new imperative for creating and profiting from technology. Boston, MA: Harvard Business School Press.
   Google Scholar
• Chiesa, V., & Manzini, R. (1998). Organizing for technological collaborations: A managerial perspective. R&D Management, 28, 199–212.
   Web of Science ®Google Scholar
• De Wit, J., Dankbaar, B., & Vissers, G. (2007). Open innovation: The new way of knowledge transfer. Journal of Business Chemistry, 4, 11–19.
   Google Scholar
• De Fuentes, C. & Dutrénit, G. (2012). Best channels of academia-industry interaction for long-term benefit. Research Policy, 41, 1666–1682.
   Web of Science ®Google Scholar
• Dess, G. G., Ireland, R.D., & Hitt, M.A. (1990). Industry effects and strategic management research. Journal of Management, 16, 7–27.10.1177/014920639001600102
   Web of Science ®Google Scholar
• DiCicco-Bloom, B., & Crabtree, B. F. (2006). The qualitative research interview. Medical Education, 40, 314–321.10.1111/med.2006.40.issue-4
   PubMed Web of Science ®Google Scholar
• Drejer, I., & Jørgensen, B. H. (2005). The dynamic creation of knowledge: Analyzing public-private collaborations. Technovation, 25, 83–94.10.1016/S0166-4972(03)00075-0
   Web of Science ®Google Scholar
• Dul, J., & Hak, T. (2008). Case study methodology in business research. Oxford, UK: Elsevier Science Ltd.
   Google Scholar
• Eisenhardt, K., & Graebner, M. E. (2007). Theory building from cases: Opportunities and challenges. Academy of Management Journal, 50, 25–32.10.5465/AMJ.2007.24160888
   Web of Science ®Google Scholar
• Faems, D., Van Looy, B., & Debackere, K. (2005). Interorganizational collaboration and innovation: Toward a portfolio approach. Journal of Product Innovation Management, 22, 238–250.10.1111/jpim.2005.22.issue-3
   Web of Science ®Google Scholar
• Friese, J., Jung, U., Röhm, T., & Spettmann, R. (2006). Intellectual property: An underestimated and undermanaged asset? Journal of Business Chemistry, 3, 42–48.
   Google Scholar
• Grit, R. (2000). Project management: Projectmatig werken in de praktijk [in Dutch] [Project management: A practical approach]. Groningen: Wolters-Noordhoff.
   Google Scholar
• Harryson, S., Kliknaité, S., & Dudkowski, R. (2007). Making innovative use of academic knowledge to enhance corporate technology innovation impact. International Journal of Technology Management, 39, 131–157.10.1504/IJTM.2007.013504
   Web of Science ®Google Scholar
• Heinzelbecker, K. (2005). Futuring in the European chemical industry. Journal of Business Chemistry, 2, 37–53.
   Google Scholar
• Jain, S., George, G., & Maltarich, M. A. (2009). Academics or entrepreneurs? Investigating role identity modification of university scientists involved in commercialization activity. Research Policy, 38, 922–935.10.1016/j.respol.2009.02.007
   Web of Science ®Google Scholar
• Kaufmann, A., & Tödtling, F. (2001). Science–industry interaction in the process of innovation: The importance of boundary-crossing between systems. Research Policy, 30, 791–804.10.1016/S0048-7333(00)00118-9
   Web of Science ®Google Scholar
• Kline, S. J., & Rosenberg, N. (1986). An overview of innovation. In R. Landau & N. Rosenberg (Eds.), The positive sum strategy (pp. 275–304). Washington: National Academy Press.
   Google Scholar
• Kodama, T. (2008). The role of intermediation and absorptive capacity in facilitating university-industry linkages: An empirical study of TAMA in Japan. Research Policy, 37, 1224–1240.10.1016/j.respol.2008.04.014
   Web of Science ®Google Scholar
• KPMG Global Chemicals Institute. (2014). The European chemical industry in 2014. Reaction - Chemicals Magazine, 14, 2–19.
   Google Scholar
• March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2, 71–87.10.1287/orsc.2.1.71
   Web of Science ®Google Scholar
• Marsili, A., & Verspagen, B. (2002). Technology and the dynamics of industrial structures: An empirical mapping of Dutch manufacturing. Industrial and Corporate Change, 11, 791–815.10.1093/icc/11.4.791
   Web of Science ®Google Scholar
• Miles, M. B. (1990). New methods for qualitative data collection and analysis: Vignettes and pre‐structured cases. International Journal of Qualitative Studies in Education, 3, 37–51.10.1080/0951839900030104
   Google Scholar
• Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: A source book of new methods. Beverly Hills, CA: Sage.
   Google Scholar
• Montoro-Sanchez, A., Mora-Valentin, E. M., & Guerras-Martins, L. A. (2006). R&D cooperative agreements between firms and research organizations: A comparative analysis of the characteristics and reasons depending on the nature of the partner. International Journal of Technology Management, 35, 156–181.10.1504/IJTM.2006.009233
   Web of Science ®Google Scholar
• Mora-Valentin, E. M., Montoro-Sanchez, A., & Guerras-Marting, L. A. (2004). Determining factors in the success of R&D-cooperative agreements between firms and research organizations. Research Policy, 33, 17–40.10.1016/S0048-7333(03)00087-8
   Web of Science ®Google Scholar
• Mowery, D. C. (2009). Plus ca change: Industrial R&D in the “third industrial revolution”. Industrial and Corporate Change, 18, 1–50.
   Web of Science ®Google Scholar
• Mowery, D. C. (2011). Learning from one another? International policy “emulation” and university-industry technology transfer. Industrial and Corporate Change, 20, 1827–1853.10.1093/icc/dtr063
   Web of Science ®Google Scholar
• Nelson, A. J. (2012). Putting university research in context: Assessing alternative measures of production and diffusion at Stanford. Research Policy, 41, 678–691.10.1016/j.respol.2011.11.004
   Web of Science ®Google Scholar
• Nobel, R., & Birkinshaw, J. (1998). Innovation in multinational corporations: Control and communication in international R&D operations. Strategic Management Journal, 19, 479–496.10.1002/(ISSN)1097-0266
   Web of Science ®Google Scholar
• Núñez-Sánchez, R., Barge-Gil, A., & Modrego-Rico, A. (2010). Performance of knowledge internationals between public research centers and industrial firms in Spain: A project-level analysis. Journal of Technology Transfer, 37, 330–354.
   Web of Science ®Google Scholar
• Pavitt, K. (1984). Sectoral patterns of technical change: Towards a taxonomy and a theory. Research Policy, 13, 343–373.10.1016/0048-7333(84)90018-0
   Web of Science ®Google Scholar
• Perkmann, M., Neely, A., & Walsh, K. (2011). How should firms evaluate success in university-industry alliances? A performance measurement system. R&D Management, 41, 202–216.
   Google Scholar
• Perkmann, M., & Walsh, K. (2008). University-industry relationships and open innovation: Towards a research agenda. International Journal of Management Reviews, 9, 259–280.
   Web of Science ®Google Scholar
• Porac, J. F., Wade, J. B., Fischer, H. M., Brown, J., Kanfer, A., & Bowker, G. (2004). Human capital heterogeneity, collaborative relationships, and publication patterns in a multidisciplinary scientific alliance: A comparative case study of two scientific teams. Research Policy, 33, 661–678.10.1016/j.respol.2004.01.007
   Web of Science ®Google Scholar
• Rice, M. P., O’Connor, G. C., & Peters, L. S. (1998). Managing discontinuous innovation. Research-Technology. Management, 41, 52–58.
   Web of Science ®Google Scholar
• Santoro, M. D., & Bierly, P. E. (2006). Facilitators of knowledge transfer in university-industry collaborations: A knowledge-based perspective. IEEE Transactions on Engineering Management, 53, 495–507.10.1109/TEM.2006.883707
   Web of Science ®Google Scholar
• Swan, K. S., & Allread, B. B. (2003). A product and process model of the technology-sourcing decision. Journal of Product Innovation Management, 20, 485–496.10.1111/1540-5885.00044
   Web of Science ®Google Scholar
• Tammi, T. (2009). The competitive funding of university research: The case of Finnish science universities. Higher Education, 57, 657–679.10.1007/s10734-008-9169-6
   Web of Science ®Google Scholar
• Teixeira, A. A. C., & Mota, L. (2012). A bibliometric portrait of the evolution, scientific roots and influence of the literature on university-industry links. Scientometrics, 93, 719–743.10.1007/s11192-012-0823-5
   Web of Science ®Google Scholar
• Tijssen, R. J. W. (2004). Is the commercialization of scientific research affecting the production of public knowledge? Global trends in the output of corporate research articles. Research Policy, 33, 709–733.10.1016/j.respol.2003.11.002
   Web of Science ®Google Scholar
• Uzzi, B., & Lancaster, R. (2003). The role of relationships in interfirm knowledge transfer and learning: The case of corporate debt markets. Management Science, 49, 383–399.10.1287/mnsc.49.4.383.14427
   Web of Science ®Google Scholar
• Van Gils, M. J. G. M., Vissers, G. A. N., & De Wit, J. (2009). Selecting the right channel for knowledge transfer between industry and science: Consider the R&D-Activity. European Journal of Innovation Management, 12, 492–511.10.1108/14601060910996936
   Google Scholar
• Walsh, V., & Lodorfos, G. (2002). Technological and organizational innovation in chemical and related products. Technology Analysis & Strategic Management, 14, 273–298.
   Web of Science ®Google Scholar
• Yin, R. (1994). Case study research: Design and methods. Thousands Oaks, CA: Sage Publishing.
   Google Scholar