Academia.eduAcademia.edu

Outline

EFFECTIVENESS IN BUSINESS NETWORKS

Abstract
sparkles

AI

This research investigates the effectiveness of network participation for businesses in the Brainport Eindhoven region, recognized as a high-tech innovation hub in Europe. Through a survey assessing perceived benefits and organizational impacts from participation in a business cluster, the study employs Principal Component Analysis to evaluate the data and measure reliability. Findings highlight a positive correlation between cluster participation and enhanced organizational outcomes such as improved access to knowledge, increased orders, and overall process improvements.

References (57)

  1. Aldrich, H. (1979). Organizations and environments. Englewood Cliffs: NJ: Prentice Hall.
  2. Baum, J. S. (2003). Where do small worlds come from? Industrial and Corporate Change, 12 (4), 697-725.
  3. Brainport. (2015, maart 25). Over Brainport. Retrieved from Brainport: http://www.brainport.nl/over-brainport
  4. Brainport Development. (2014). Brainport Monitor 2014: Brainport Versterkt Nederlandse Concurrentiepositie. Eindhoven: Brainport Development.
  5. Brainport Development. (2014, december 24). Over Brainport Development. Retrieved from Brainport Development: http://www.brainportdevelopment.nl/over-brainport- development
  6. Browning, L. B. (1995). Building cooperation in a competitive industry: SEMATECH and the semiconductor industry. Academy of Management Journal, 38, 113-151.
  7. Burt, R. (1987). A note on missing network data in the general social survey. In P. Doreian, & M. Everett, Social Network, vol 9, issue 1 (pp. 63-73). North-Holland: Columbia University.
  8. Burt, R. (1992). Structural Holes, Chapter 1. Cambridge: Harvard University.
  9. Dhanaraj, C., & Parkhe, A. (2006). Orchestrating innovation networks. Academy of Management Review 31 (3), 659-669.
  10. Drazin, R., & Van de Ven, A. (1985). Alternative Forms of Fit in Contingency Theory. Administrative Science Quarterly, Vol.30, No.4.
  11. Goertz. (2003). Assessing the importance of necessary or sufficient conditions in fuzzy-set social science. Retrieved from Compasss Working Paper WP2003-7: wwww.compasss.org/wp.htm
  12. Goertz. (2006). Assessing the trivialness, relevance, and relative importance of necessary or sufficient conditions in social science. Studies in Comprative International Development. Forthcoming.
  13. Grofman, B., & Schneider, C. (2009). An Introduction to Crisp Set QCA, with a Comparison to Binary Logistic Regression. Political Research Quarterly.
  14. Hak, T., & Dul, J. (2009). Pattern matching.
  15. Hasnain-Wynia, R., Sofaer, S., Bazzoli, G., Alexander, J., Shortell, S., Conrad, D., & Sweney, J. (2003). Members' perceptions of community care network partnerships' effectiveness. Medical Care Research and Review, 60(4 suppl), 40S-62S.
  16. Huisman, M. (2009). Imputation of missing network data: Some simple procedures. Groningen : University of Groningen.
  17. Kogut, B. (1988). Joint Ventures: Theoretical and empircal perspectives. Strategic Management Journal 9(4), 319-322.
  18. Koka, B., Madhavan, R., & Prescott, J. (2006). The evolution of interfirm networks: Environmental effects on patterns of network change. Academy of Management Review, 31(3), 721-737.
  19. Kraatz, M. (1998). Learning by association? Interorganizational networks and adaptation to environmental change. Academy of Management Journal, 41(6), 621-643.
  20. Laumann, E., Marsden, P., & Prensky, D. (1992). The boundary specification problem in network analysis. In L. Freeman, D. White, & A. Romney, Research methods in social network analysis (pp. 61-87). New Brunswick: Transaction Publishers.
  21. Lindqvist, G., Ketels, C., & Sölvell, Ö. (2013). The Cluster Initiative Greenbook 2.0. Stockholm: Ivory Tower Publishers.
  22. Lutz, S. (1997). Learning through intermediaries: The case of interfirm research collaborations. In M. Ebers (Ed.). The formation of interorganizational networks, 220- 237.
  23. Marx, A., Cambré, B., & Rihoux, B. (2013). Crisp-set Qualitative Comparative Analysis in Organizational Studies. In E. G. Limited, Configurational Theory and Methods in Organizational Research (pp. 23-47).
  24. Meyer, & Scott. (1991). The organization of societal sectors: propositions and early evidence. In W. D. Powell, The new institutionalism (pp. 108-142). Chicago: University of Chicago Press.
  25. Meyer, J., Scott, W., & Strang, D. (1987). Centralization, Fragmentation, and School District Complexity. Administrative Science Quarterly, Vol. 32, No. 2, 186-201.
  26. Milward, H., & Provan, K. (2006). A Manager's Guide to Choosing and Using Collaborative Networks. IBM Center for The Business of Government.
  27. Ministerie van Economische Zaken. (2012, december 14). Topconsortia voor Kennis en Innovatie (TKI). Informatie over de afspraken in de Topconsortia voor Kennis en Innovatie. 's-Gravenhage, Nederland: Tweede Kamer. Retrieved from Rijksoverheid: http://www.rijksoverheid.nl/onderwerpen/ondernemersklimaat-en- innovatie/investeren-in-topsectoren/topconsortia-voor-kennis-en-innovatie-tki-s
  28. Owen-Smith, J., & Powell, W. (2004). Knowledge networks as channels and conduits: The effects of spillover in the Boston biotechnology community. Organzation Science, 5- 21. Partnering in Research. (2015, January 3 ). Retrieved from Holst Centre: http://www.holstcentre.com/PartneringinResearch.aspx
  29. Powell, W., White, D., Koput, K., & Owen-Smith, J. (2005). Network dynamics and field evolution: The growth of interorganizational collaboratio in the life sciences. American Journal of Sociology, 1132-1206.
  30. Provan & Milward. (1995). A preliminary theory of network effectiveness: A comparative study of four community mental health systems. Administrative Science Quarterly, 40.
  31. Provan, & Milward. (2001). Do networks really work? A framework for evaluating public- sector organizational neworks. In Public Administration Review, No. 61 (pp. 414-423).
  32. Provan, K., & Kenis, P. (2008). Modes of network governance: Structure management and effectiveness.
  33. Provan, K., & Sebastian, J. (1998). Networks within networks: service link overlap, organizational cliques, and network effectiveness. Academy of Management Journal. 41(4), 453-462.
  34. Provan, K., & Sebastian, J. (1998). Networks within networks: service link overlap, organizational cliques, and network effectiveness. Academy of Management Journal, Vol. 41, No. 4, 453-463.
  35. Provan, K., Fish, A., & Sydow, J. (2007). Interorganizational Networks at the Network Level: A Review of the Empirical Literature on Whole Networks. Journal of Management, No. 33, 479-516.
  36. Raab, J., & Kenis, P. (2009). Heading Toward a Society of Networks: Empirical Developments and Theoretical Challenges. Journal of Management Inquiry, Vol. 18, Nr. 5, 198-2010.
  37. Raab, J., & Suijkerbuijk, S. ((Working paper), 2011). Heading Towards a Network Theory of Effectiveness: Combining Structure and Governance.
  38. Ragin, C. (2006). Set Relations in Social Research: Evaluating Their Consistency and Coverage. Advance Access publication.
  39. Ragin, C. C. (2000). Fuzzy-Set Social Science. University of Chicago Press.
  40. Rihoux, B., & Ragin, C. (2009). Configurational Comparative Methods: Qualitative Comparative Analysis (QCA) and Related Techniques. United States of America: SAGE Publications, Inc.
  41. Rijksdienst voor Ondernemend Nederland. (2015, juni 19). Innovatie Prestatie Contracten (IPC). Retrieved from RVO: http://www.rvo.nl/subsidies-regelingen/innovatie- prestatie-contracten-ipc
  42. Rogers, E., & Kincaid, D. (1981). Communication networks: toward a new paradigm for research. New York: Free Press.
  43. Safford, S. (2004). Why the garden club couldn't save Youngstown: Civic infrastructure and mobilization in economic crises. (Working paper). Cambridge, MA: MIT Industrial Performance Center.
  44. Sandfort, J., & Milward, H. (2008). Collaborative service provision in the public sector. In Handbook of inter-organizational relations (pp. 147-174).
  45. Saxton, T. (1997). The Effects of Partner and Relationships Characteristics on Alliance Outcomes. Academy of Management Journal, 40, 2, 443-461.
  46. Schemerhorn, J. (1975). Determinants of Interorganizational Cooperation. Academy of Management Journal 18 (4), 846-856.
  47. Scott, J. (2000). Social network analysis: A Handbook, 2nd ed. London: Sage.
  48. Snow, C., & Miles, R. (1992). Causes for failure in network organizations. California management review, 34(1), 53-57.
  49. Stork, D., & Richards, W. (1992). Nonrespondents in Communication Network Studies. Group & Organization Management, No.2, 193-209.
  50. Trochim, W. (1985). Pattern Matching. Validity, and Conceptualization in Program Evaluation. Evaluation Reviw, 9(5), 575-604.
  51. Trochim, W. (1989). Concept mapping: Soft Science or Hard Art? Evaluation and Program Planning, vol. 12, 87-110.
  52. Turrini, A., Cristofoli, D., Frosini, F., & Nasi, G. (2010). Networking literature about determinants of network effectiveness. Public Administration, 528-550.
  53. Uzzi, B. (1997). Social Structure and Competition in Interfirm Networks: The Paradox of Embeddedness. Administrative Science Quarterly, Vol. 42, No. 1, 35-67.
  54. Van den Berg, L., & Otgaar, A. (2012). Innovative Policy Making: Brainport Eindhoven: a proactive approach towards innovation and sustainability. In P. Kresl, & D. Ietri, European Cities and Global Competitiveness: Strategies for Improving Performance (pp. 171-201). Cheltenham: Edward Elgar Publishing Limited.
  55. Whetten, D., & Leung, T. (1979). The instrumental value of interorganizational relations: antecedents and consequences of linkage formation. . Academy of Management Journal 22 (2), 325-349.
  56. Yin, R. (1984). Case Study Research. Design and Methods. Thousand Oaks, CA.: Sage.
  57. C. Cluster structuur Geef voor onderstaande organisaties uit uw cluster aan op welke basis uw organisatie contact heeft: -Tijdens gezamenlijke bijeenkomsten van het cluster en/of -Wekelijks professioneel contact (bijvoorbeeld: kennis, informatie, personeel en/of materiaal delen) buiten de gezamenlijke bijeenkomsten.