Abstract
In the last decade supply chain clusters phenomenon has emerged as a new approach in product innovation studies. This article makes three contributions to the approach by addressing some open issues. The first contribution is to explicitly incorporate the energy levels in the analysis. Hence, the unit of analysis is widened from sectoral systems of innovation to socio-technical systems. Hence, the unit of analysis is widened from sectoral systems of innovation to socio-technical systems. The second contribution is to suggest an analytical distinction between different evolution method, actors involved in them, and the institutions which guide actor’s perceptions and activities. Thirdly, the article opens up the black box of institutions, making them an integral part of supply chain. The article provides a coherent conceptual multi-level perspective, using insights from sociology, institutional theory and innovation studies. The perspective is particularly useful to analyze long-term dynamics supply chain clusters phenomenon, shifts from one energy level to another and the co-evolution of product innovation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Cantisani, A.: Technological Innovation Processes Revisited. J. Technovation 26(11), 1294–1301 (2006)
Wang, C., Yan, H.: Some Thinking on Talent Management in Enterprise Internationalization Strategy. J. Special Zone Economy 7, 230–232 (2006)
Wang, C., Wang, X., Xu, R.: Industrial Cluster Technological Innovation Means based on Knowledge Exterior. J. Economic Tribune 15, 7–9 (2007)
Chopra, S., Sodhi, M.S.: Managing Risk to Avoid Supply-chain Breakdown. J. MIT Sloan Management Review 46(1), 53–61 (2004)
Chow, D.: Organized Crime, Local Protectionism, and the Trade in Counterfeit Goods in China. J. China Economic Review 14(4), 473–484 (2003)
Malerba, F.: Innovation and the Dynamics and Evolution of Industries: Progress and Challenges. International Journal of Industrial Organization 25(5), 675–699 (2007)
Frizelle, G., Woodcock, E.: Measurement of Complexity as an Aid to Developing Operational Strategy. International Journal of Operation and Production Management 15(5), 26–39 (1995)
Ji, G.: Ecological Supply Chains Performance Evaluation and Disruption Risk Management Strategies. J. Human and Ecological Risk Assessment: An International Journal 15(2), 351–370 (2009)
Ji, G.: Value Delivery Systems under the Instantaneous Competition. Journal of Service Science and Management 1, 29–49 (2008)
Ji, G.: Logistics and Matter Element Models based on Firm Innovative Supply Chains. J. International Journal of Operational Research 1(3), 283–301 (2006)
Wang, J.: Innovation Space: Enterprise Cluster and Regional Development. Beijing University Publishing House, Beijing (2001)
Li, J.: Inventory Management in Cluster Supply Chain. Press of Chinese Economy, Beijing (2006)
Shannon, C.E.: Mathematical Theory of Communication. Bell System Technology 27, 623–656 (1948)
Shinn, T., Lamy, E.: Paths of Commercial Knowledge: Forms and Consequences of University-enterprise Synergy in Scientist-sponsored Firms. J. Research Policy 35(10), 1465–1476 (2006)
Chen, Z., Ma, S., Chen, R.: Research on the Lean Supply Chain. J. Computer Integrated Manufacturing Systems 5(5), 11–16 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ji, G. (2010). Energy Levels and Co-evolution of Product Innovation in Supply Chain Clusters. In: Zaman, M., Liang, Y., Siddiqui, S.M., Wang, T., Liu, V., Lu, C. (eds) E-business Technology and Strategy. CETS 2010. Communications in Computer and Information Science, vol 113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16397-5_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-16397-5_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16396-8
Online ISBN: 978-3-642-16397-5
eBook Packages: Computer ScienceComputer Science (R0)