Cluster Network Model for Inter-SME Diffusion of Innovation

Stefan Kambiz Behfar, Tina Afshar, Parmiss Afshar

Abstract

Since Rogers (1995) first gave a typology of innovation diffusion, there have been many studies on the role of networks in the topic of innovation diffusion and adoption. Bradley (1995) defined technology diffusion as the spread of a new technology from one SME to another; whereas DiMaggio and Powell (1991) emphasized that under conditions of uncertainty, inter-organizational diffusion of innovation occurs through imitation (adaptation). Other authors have investigated rate of innovation where importance was given to the number of firm linkages and geographical proximity (Florida 1995, Van Oort 2004). Although the role of ties has been studied with regard to innovation diffusion and knowledge sharing, to the best of our knowledge, there has been no published research concerning efficient innovation diffusion and adoption within SME cluster networks, where efficient innovation diffusion with cluster is defined when most SMEs within each cluster could adopt innovation. Here, we present a cluster network model for inter-SME diffusion of innovation where SMEs represent nodes, and innovation adoption and adaptation between any two SMEs represent ties. In such a model, we differentiate between SMEs as either sources or beneficiaries of innovation, and discuss creation of ties among those SMEs and among cluster of SMEs. This study presents a conceptual piece, where we provide three propositions a) The network model contains both source and beneficiary of innovation, where the beneficiary adopts an innovation from source, or adapts to the innovation of another beneficiary, b) The more efficient diffusion of innovation from one SME cluster to another is when two clusters interconnect strongly rather than loosely, c) The rate of innovation adoption among SMEs depends on their network dependency.

References

  1. Ahuja, G. 2000. Collaboration networks, structural holes, and innovation: A longitudinal study,” Administrative Science Quarterly 45, pp 425-455.
  2. Aldrich, H. and Zimmer, C. 1986. Entrepreneurship through social networks. The Art and Science of Entrepreneurship, 3-23
  3. Asheim, B. and Isaksen, A. 2002. Regional Innovation Systems: The Integration of Local 'Sticky' and Global 'Ubiquitous' Knowledge. Journal of Technology Transfer, 27, 77-86.
  4. Baldwin, C. Y., and Clark K. B. 1997. Managing in an Age of Modularity." Harvard Business Review 75, no. 5 pp 84-93.
  5. Batterink, M. H., Wubben, E. F. M., Klerkx, L., and Omta, S. W. F. 2010. Orchestrating innovation networks: The case of innovation brokers in the agrifood sector. Entrepreneurship & Regional Development, Vol. 22 N° 1, pp. 47-76.
  6. Borgatti and Foster. 2003. The Network Paradigm in Organizational Research: A Review and Typology. Journal of Management 29(6)
  7. Brusoni, S. and Prencipe, A. 2001.Unpacking the black box of modularity: technologies, products and organizations. Industrial and Corporate Change 10 (1), 179-205
  8. Burt, Ronald S. 1982. Toward a Structural Theory of Action. New York: Academic Press.
  9. Burt, Ronald S. 1992. Structural Holes. Cambridge, Mass.: Harvard University Press.
  10. Burt, Ronald S. 2004. Structural Holes and Good Ideas. American Journal of Sociology
  11. Collinson, S. and Gregson, G. 2003. Knowledge networks for new technology-based firms: an international comparison of local entrepreneurship promotion. R&D Management Vol 33 (2)
  12. Denning, S. 2000. Communities for knowledge management.
  13. DiMaggio, Powell. 1991. The New Institutionalism in Organizational Analysis
  14. DiMaggio, P. and Powell, W. 1983. The iron cage revisited: institutional isomorphism and collective rationality in organisation fields. American Sociological Review vol. 48 pp147-60
  15. Dollinger, M. J. 1999. Entrepreneurship: Strategies and Resources” Prentice Hall, Englewood Cliffs, NJ. Florida, R. 1995. Towards the Learning Regions. Futures, 27, 527-36.
  16. Goduscheit , R. C. 2009. Leadership in interorganisational network-based innovation projects. International Journal of Technology Marketing 4 (2-3), 149-164
  17. Gardet, Elodie; Mothe, Caroline; Emerald. 2012. SME dependence and coordination in innovation networks. Journal of small business and enterprise development. Vol 19, n 2
  18. Granovetter, M. 1973. The Strength of Weak Ties. American Journal of Sociology 78.
  19. Grandori, A. and Soda, G. 1995. Inter-Firm Networks: Antecedents, Mechanisms and Forms, Organization Studies, Vol. 16 N° 2, pp. 183-214.
  20. Hansen, M. T. 1999. The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Units” Administrative Science Quarterly 44
  21. Huber, G. P. 1991. Organizational Learning: The Contributing Processes and the Literatures.
  22. Holland, J. H. 1975. Adaptation in Natural and Artificial Systems. Uni of Michigan Press.
  23. Kogut, B., U. Zander. 1992. Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology. Organization Science 3(3).
  24. Jørgensen, F., Ulhøi J. P. 2010. Enhancing Innovation Capacity in SMEs Through Early Network Relationships Journal: Creativity and Innovation 19(4)
  25. Lee, S. G., Trimi, S., Kim, C. 2013. Innovation and Imitation effects' dynamics in technology adoption. Industrial Management & Data Systems, Vol 1130, No 6
  26. Ma and Agarwal. 2007. Information Technology Design, Identity Verification, and Knowledge Contribution in Online Communities.
  27. Narula, R. 2004. R&D collaboration by SMEs: New opportunities and limitations in the face of globalisation, Technovation, Vol. 24 N° 2, pp. 153-161.
  28. Nelson, R. E. 1989. The Strength of Strong Ties: Social Networks and Intergroup Conflict in Organizations. Academy of Management Journal 32(2)
  29. Ngugi AK1, Bottomley C., Kleinschmidt I., Sander J. W., Newton CR. 2010. Estimation of the burden of active and life-time epilepsy: a meta-analytic approach. Epilepsia. 51(5):883-90
  30. Nutley, S. M.; Walter, I and Davies, H. T. O. 2002b. From knowing to doing: a framework for understanding the evidence-into-practice agenda” (Discussion Paper 1) University of St. Andrews, Research Unit for Research Utilisation, 32.
  31. O'Neill, H. M.; Pouder, R. W. and Buchholtz, A. K. 1998. Patterns in the diffusion of strategies across organisations; insights from the innovation diffusion literature. Academy of Management Review 23(1) pp98-114
  32. Pfeffer, J. and Salancik, G. 1978. The External Control of Organizations, Harper and Row, New York.
  33. Robertson, M., J. Swan, S. Newell. 1996. The Role of Networks in the Diffusion of Technological Innovation. J. Management Studies 33(3)
  34. Rogers, E. M. 1958. Categorising adopters of agricultural practices. Rural Sociology 23(4) pp345-54
  35. Rogers, E M 1995. Diffusion of Innovations, 4th edition
  36. Sullivan, Diane M. and Marvel, Matthew R. 2011 Knowledge Acquisition, Network Reliance, and EarlyStage Technology Venture Outcomes. Journal of Management Studies Vol 48 Issue 6
  37. Tsai, W. 2000. Social Capital, Strategic Relatedness and the Formation of Intraorganizational Linkages. Strategic Management Journal 21(9).
  38. Walker, G., Kogut, B., Shan, W. J. 1997. Social capital, structural holes and the formation of an industry network. Organization Science, 8(2): 109.
  39. Williamson, O. E. 1975. Markets and hierarchies: Analysis and antitrust implications. NewYork: The Free Press.
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Paper Citation


in Harvard Style

Behfar S., Afshar T. and Afshar P. (2016). Cluster Network Model for Inter-SME Diffusion of Innovation . In Proceedings of the 1st International Conference on Complex Information Systems - Volume 1: COMPLEXIS, ISBN 978-989-758-181-6, pages 177-186. DOI: 10.5220/0005924301770186


in Bibtex Style

@conference{complexis16,
author={Stefan Kambiz Behfar and Tina Afshar and Parmiss Afshar},
title={Cluster Network Model for Inter-SME Diffusion of Innovation},
booktitle={Proceedings of the 1st International Conference on Complex Information Systems - Volume 1: COMPLEXIS,},
year={2016},
pages={177-186},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005924301770186},
isbn={978-989-758-181-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Complex Information Systems - Volume 1: COMPLEXIS,
TI - Cluster Network Model for Inter-SME Diffusion of Innovation
SN - 978-989-758-181-6
AU - Behfar S.
AU - Afshar T.
AU - Afshar P.
PY - 2016
SP - 177
EP - 186
DO - 10.5220/0005924301770186