Towards continuous innovation for regional high-tech industrial clusters
X M Xie
School of Management, Shanghai University, Shanghai, PR China
S X Zeng
Antai School of Management, Shanghai Jiaotong University, Shanghai, PR China
C M Tam
College of Science and Engineering, City University of Hong Kong, Kowloon, Hong Kong
PP: 361 - 375
Abstract
This paper explores the inherent evolutionary mechanism of continuous innovation of high-tech industrial clusters based on an S-curve model. Moreover, the relationship between life cycle of continuous innovation and high-tech industrial cluster is examined to explore the evolutionary mechanism of each development stage of high-tech clusters.
The paper finds that the life cycle of continuous innovation of clusters lags behind the life cycle of clusters. The findings reveal that the evolution of continuous innovation is driven by different factors. Therefore, policies should be made based on different driving factors of clusters, and varied according to the different evolutionary stages of clusters.
Keywords
high-tech industrial cluster; continuous innovation; life cycle
References
Ahokangas, P., Hyry, M. and Rasanen, P. (1999) Small technology-based firms in fast-growing regional cluster, New England Journal of Entrepreneurship 2(1): 19-26.
Ayres, R. U. (1988) Barriers and breakthroughs: An 'expanding frontiers' model of the technology-industry life cycle, Technovation 7(2): 87-115.
Bain, J. (1951) Relation of profit rate to industry concentration: American manufacturing 1936-1940, Quarterly Journal of Economics 65(3): 293-324.
Bessant, J. (2005) Enabling continuous and discontinuous innovation: Learning from the private sector, Public Money & Management 25(1): 35-42.
Boer, H. (2002) Continuous innovation seminar. Presented at University of Western Sydney, Campbelltown, NSW, Australia, April.
Boer, H., Caffyn, S., Corso, M., Coughlan, P., Gieskes, J., Magnusson, M., et al. (2001) Knowledge and continuous innovation: The CIMA methodology, International Journal of Operations & Production Management 21(4): 490-503.
Boer, H. and Gertsen, F. (2003) From continuous improvement to continuous innovation: A (retro) (per)spective, International Journal of Technology Management 26(8): 805-827.
Canina, L., Enz, C. A. and Harrison, J. S. (2005) Agglomeration effects and strategic orientations: Evidence from the U.S. lodging industry, Academy of Management Journal 48(4): 565-581.
Casper, S. (2007) How do technology clusters emerge and become sustainable? Social network formation and inter-firm mobility within the San Diego biotechnology cluster, Research Policy 36(4): 438-455.
Casper, S. and Murray, F. (2004) Careers and clusters: Analyzing career network dynamics of biotechnology clusters, Journal of Engineering and Technology Management 22(1-2): 51-74.
Chapman, R. L. and Corso, M. (2005) From continuous improvement to collaborative innovation: The next challenge in supply chain management, Production Planning & Control 16(4): 339-344.
Cooke, P., Boekholt, P. and Tödtling, F. (2000) The governance of innovation in Europe. Pinter, London.
Corso, M. (2002) From product development to continuous product innovation: Mapping the routes of corporate knowledge, International Journal of Technology Management 23(4): 322-340.
Dalum, B., Pedersen, C. and Villumsen, G. (2005) Technological life-cycles: Lessons from a cluster facing disruption, European Urban & Regional Studies 12(3): 229-246.
Davison, G. and Hyland, P. (2006) Continuous innovation in a complex and dynamic environment: The case of the Australian health service, International Journal of Technology Management & Sustainable Development 5(1): 41-59.
Doloreux, D. (2002) What we should know about regional systems of innovation, Technology in Society 24(2): 243-263.
Esposito, E. and Mastroianni M. (2002) Information technology and personal computers: The relational life cycle, Technovation 22(1): 41-50.
Feldman, M. P., Francis, J. and Bercovitz, J. (2005) Creating a cluster while building a firm: Entrepreneurs and the formation of industrial clusters, Regional Studies 39(1): 129-141.
Gieskes, J. F. B. and Hyland, P. W. (2003) Learning barriers in continuous product innovation, International Journal of Technology Management 26(8): 857-870.
Godoe, H. (2000) Innovation regime, R&D and radical innovations in telecommunications, Research Policy 29(9): 1033-1046.
Harrison, R. T., Cooper, S. Y. and Mason, C. M. (2004) Entrepreneurial activity and the dynamics of technology-based cluster development: The case of Ottawa, Urban Studies 41(5-6): 1045-1070.
Haupt, R., Kloyer, M. and Lange, M. (2007) Patent indicators for the technology life cycle development, Research Policy 36(3): 387-398.
Holbrook, J. A. and Wolfe, D. A. (2005) The innovation systems research network: A Canadian experiment in knowledge management, Science and Public Policy 32(2): 109-118.
Hou, K. W. and Robinson, D. T. (2006) Industry concentration and average stock returns, Journal of Finance 61(4), 1927-1956.
Hu, A. G. Z. (2007) Technology parks and regional economic growth in China, Research Policy 36(1): 76-87.
Irani, Z. and Sharp, J. M. (1997) Integrating continuous improvement and innovation into a corporate culture: A case study, Technovation 17(4): 199-206.
Isaksen, A. (2004) Knowledge-based clusters and urban location: The clustering of software consultancy in Oslo, Urban Study 41(5): 1157-1174.
John, C. H. S. and Pouder, R. W. (2006) Technology clusters versus industry clusters: Resources, networks, and regional advantages, Growth & Change 37(2): 141-171.
Kim, B. (2003) Managing the transition of technology life cycle, Technovation 23(5): 371-381.
Leydesdorff, L. and Fritsch, M. (2006) Measuring the knowledge base of regional innovation systems in Germany in terms of a Triple Helix dynamics, Research Policy 35(10): 1538-1553.
Lin, C. H., Tung, C. M. and Huang, C. T. (2006) Elucidating the industrial cluster effect from a system dynamics perspective, Technovation 26(4): 473-482.
Meade, P., Rabelo, L. and Jones, A. (2006) Applications of chaos and complexity theories to the technology adoption life cycle: Case studies in the hard-drive, microprocessor, and server high-tech industries, International Journal of Technology Management 36(4): 318-335.
Meade, P. T. and Rabelo, L. (2004) The technology adoption life cycle attractor: Understanding the dynamics of high-tech markets, Technological Forecasting and Social Change 71(7): 667-668.
Melville, N., Gurbaxani, V. and Kraemer, K. (2007) The productivity impact of information technology across competitive regimes: The role of industry concentration and dynamism, Decision Support Systems 43(1): 229-242.
Miles, R. E., Miles, G. and Snow, C. C. (2006) Collaborative entrepreneurship: A business model for continuous innovation, Organizational Dynamics 35(1): 1-11.
Nieto, M., Lopez, F. and Cruz, F. (1998) Performance analysis of technology using the S curve model: The case of digital signal processing (DSP) technologies, Technovation 18(6-7): 439-457.
Otsuka, K. (2006) Cluster-based industrial development: A view from East Asia, Japanese Economic Review, 57(3): 361-376.
Padmore, T. and Gibson, H. (1998) Modelling systems of innovation: II. A framework for industrial cluster analysis in regions, Research Policy 26(6): 625-641.
Padmore, T., Schuetze, H. and Gibson, H. (1998) Modeling systems of innovation: An enterprise-centered view, Research Policy 26(6): 605-624.
Porter, M. E. (1998) Clusters and the new economics of competition, Harvard Business Review 76(6): 77-90.
Porter, M. E. (2000) Location, competition, and economic development: Local clusters in a global economy, Economic Development Quarterly 14(1): 15-34.
Pouder, R. W. and John, C. H. S. (1996) Hot spots and blind spots: Geographical clusters of firms and innovation, Academy of Management Review 21(4): 1192-1225.
Quinn, J. B. and Cameron, K. (1983) Organizational life cycles and shifting criteria of effectiveness: Some preliminary evidence, Management Science 29(1): 33-51.
Quintas, P., Wleld, D. and Massey, D. (1992) Academic - industry links and innovation: Questioning the science park model, Technovation 12(3): 161-175.
Raz, B. and Assa, I. (1988) A model of 'coupled' technology transfer: A logistic curve approach, Technological Forecasting and Social Change 33(3): 251-265.
Romanelli, E. and Khessina, O. M. (2005) Regional industrial identity: Cluster configurations and economic development, Organization Science 16(4): 344-358.
Ronchi, S., Chapman, R. and Corso, M. (2003) Knowledge management in continuous product innovation: A contingent approach, International Journal of Technology Management 26(8): 871-886.
Savitz, L. A., Kaluzny, A. D., Kelly, D. L. (2000) A life cycle model of continuous clinical process innovation, Journal of Healthcare Management 45(5): 307-315.
Sleuwaegen, L. and Dehandschutter, W. (1986) The critical choice between the concentration ratio and the H-index in assessing industry performance, Journal of Industrial Economics 35(2): 193-208.
Suchman, M. C. (1995) Managing legitimacy: Strategic and institutional approaches, Academy of Management Review 20(3): 571-610.
Tan, J. (2006) Growth of industry clusters and innovation: Lessons from Beijing Zhongguancun Science Park, Journal of Business Venturing 21(6): 827-850.
Tsai, D. H. A. (2005) Knowledge spillovers and high-technology clustering: Evidence from Taiwan's Hsinchu Science-based industrial park, Contemporary Economic Policy 23(1): 116-128.
Werker, C. (2003) Innovation, market performance, and competition: Lessons from a product life cycle model, Technovation 23(4): 281-290.
Westerman, G., McFarlan, F. W. and Iansiti, M. (2006) Organization design and effectiveness over the innovation life cycle, Organization Science 17(2): 230-238.
Yam, R. C. M., Guan, J. C., Pun, K. F. and Tang, E. P. Y. (2004) An audit of technological innovation capabilities in Chinese firms: Some empirical finding in Beijing, China, Research Policy 33(8): 1123-1140.
Xie, X. M. and Zeng, S. X. (2008) The study on life cycles' evolution mechanism and correlative mode of the S&T industrial cluster constant innovation (In Chinese). R & D Management 21: 9-17.
Zhu, D. and Tann, J. (2005) A regional innovation system in a small-sized region: A clustering model in Zhongguancun Science Park, Technology Analysis & Strategic Management 17(3): 375-390.
eContent Home
