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Central European Management Journal

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Year 03/2022 
Volume 30 
Issue 1

New Organizations in Complex Networks: Survival and Success

Caner Asbaş
Atılım University

Zühal Şenyuva
Başkent University

Şule Tuzlukaya
Atılım University

03/2022 30 (1) Central European Management Journal

DOI 10.7206/cemj.2658-0845.68

Abstract

Purpose: The present study investigates the survival and success of new organizations in the light of complex network theory.

Methodology: The empirical data was collected using the survey method from the technology park companies are analyzed with social network analysis. Two main methods were used in this study: descriptive statistics and social network analysis.

Findings: The findings indicate that new nodes appearing because of splitting up of bigger nodes from present or other related networks have a higher degree of centrality. In practice, this means that companies founded by former members of large-scale companies from these networks are more successful due to the ease in providing the flow of resources and information through previous links. This suggests that the imprint effect can be observed in the appearance, lifecycle, and performance of new nodes in complex networks.

Originality: The literature lacks studies on new organizations’ lifecycle in complex networks despite the existence of studies about new organizations in organizational networks. This study examines the appearance, success, and survival of new organizations in networks by complex network approaches such as dynamism, dissipative structures, and uncertainties.

References

  1. Achrol, R. (1991). Evolution of the Marketing Organization: New Forms for Turbulent Environments. Journal of Marketing, 55(4), 77. https://doi.org/10.2307/1251958. [Google Scholar]
  2. Bamford, C., Bruton, G., and Hinson, Y. (2006). Founder/Chief Executive Officer Exit: A Social Capital Perspective of New Ventures. Journal of Small Business Management, 44(2), 207–220. https://doi.org/10.1111/j.1540-627x.2006.00164.x. [Google Scholar]
  3. Banova, T., Mishkovski, I., Trajanov, D., and Kocarev, L. (2010). Organizations analysis with complex network theory. International Conference on ICT Innovations, 255–265. Berlin, Germany; Springer. https://doi.org/10.1007/978-3-642-19325-5_26. [Google Scholar]
  4. Barley, S. (2010). Katherine K. Chen: Enabling Creative Chaos: The Organization behind the Burning Man Event. Administrative Science Quarterly, 55(1), 156–158. https://doi.org/10.2189/asqu.2010.55.1.156. [Google Scholar]
  5. Basile, A. (2011). Networking System and Innovation Outputs: The Role of Science and Technology Parks. International Journal of Business and Management, 6(5), 3–14. https://doi.org/10.5539/ijbm.v6n5p3. [Google Scholar]
  6. Baumann, O., and Siggelkow, N. (2013). Dealing with Complexity: Integrated vs. Chunky Search Processes. Organization Science, 24(1), 116–132. https://doi.org/10.1287/orsc.1110.0729. [Google Scholar]
  7. Belliveau, M., O'Reilly, C., and Wade, J. (1996). Social Capital at the Top: Effects of Social Similarity and Status on CEO Compensation. Academy of Management Journal, 39(6), 1568–1593. https://doi.org/10.5465/257069. [Google Scholar]
  8. Berntzen, L., and Karamagioli, E. (2008). Human Rights in the Context of the Digital Society – Input to an Ongoing Discussion on Regulatory Issues. Second International Conference on the Digital Society, 129–133. https://doi.org/10.1109/icds.2008.30. [Google Scholar]
  9. Billinger, S., Stieglitz, N., and Schumacher, T. (2014). Search on Rugged Landscapes: An Experimental Study. Organization Science, 25(1), 93–108. https://doi.org/10.1287/orsc.2013.0829. [Google Scholar]
  10. Boisot, M., and McKelvey, B. (2010). Integrating Modernist and Postmodernist Perspectives on Organizations: A Complexity Science Bridge. Academy of Management Review, 35(3), 415–433. https://doi.org/10.5465/amr.2010.51142028. [Google Scholar]
  11. Borgatti, S.P., Everett, M.G., and Freeman, L.C. (2002). Ucinet 6 for Windows: Software for Social Network Analysis. Harvard, MA: Analytic Technologies. [Google Scholar]
  12. Bucklin, L., and Sengupta, S. (1993). Organizing Successful Co-Marketing Alliances. Journal of Marketing, 57(2), 32–46. https://doi.org/10.23077/1252025. [Google Scholar]
  13. Bykov, I., Balakhonskaya, L., Gladchenko, I., and Balakhonsky, V. (2018). Verbal aggression as a communication strategy in digital society. 2018 IEEE Communication Strategies in Digital Society Workshop (Comsds), 12–14. https://doi.org/10.1109/comsds.2018.8354954. [Google Scholar]
  14. Carroll, G., and Hannan, M. (1999). The Demography of Corporations. New Jersey: Princeton. [Google Scholar]
  15. Castells, M. (2000). Toward a Sociology of the Network Society. Contemporary Sociology, 29(5), 693. https://doi.org/10.2307/2655234. [Google Scholar]
  16. Chandra, Y., and Wilkinson, I. (2017). Firm internationalization from a network-centric complex-systems perspective. Journal of World Business, 52(5), 691–701. https://doi.org/10.1016/j.jwb.2017.06.001. [Google Scholar]
  17. Collewaert, V., Vanacker, T., Anseel, F., and Bourgois, D. (2021). The sandwich game: Founder-CEOs and forecasting as impression management. Journal of Business Venturing, 36(1), 106075. https://doi.org/10.1016/j.jbusvent.2020.106075. [Google Scholar]
  18. Condorelli, R. (2016). Complex Systems Theory: Some Considerations for Sociology. Open Journal of Applied Sciences, 6(7), 422–448. https://doi.org/10.4236/ojapps.2016.67044. [Google Scholar]
  19. Cravens, D., Piercy, N., and Shipp, S. (1996). New Organizational Forms for Competing in Highly Dynamic Environments: The Network Paradigm. British Journal of Management, 7(3), 203–218. https://doi.org/10.11111/j.11467-8551.1996.tb00115.x. [Google Scholar]
  20. Dobrev, S., and Barnett, W. (2005). Organizational Roles and Transition to Entrepreneurship. Academy of Management Journal, 48(3), 433–449. https://doi.org/10.5465/amj.2005.17407910. [Google Scholar]
  21. Doz, Y. (1988). Technology Partnerships Between Larger and Smaller Firms: Some Critical Issues. International Studies of Management and Organization, 17(4), 31–57. https://doi.org/10.1080/00208825.1987.11656466. [Google Scholar]
  22. Duchesneau, D., and Gartner, W. (1990). A Profile of New Venture Success and Failure in an Emerging Industry. Journal of Business Venturing, 5(5), 297–312. https://doi.org/10.1016/0883-9026(90)90007-G. [Google Scholar]
  23. Engel, Y., Kaandorp, M., and Elfring, T. (2017). Toward a dynamic process model of entrepreneurial networking under uncertainty. Journal of Business Venturing, 32(1), 35–51. https://doi.org/10.1016/j.jbusvent.2016.10.001. [Google Scholar]
  24. Farh, C., Bartol, K., Shapiro, D., and Shin, J. (2010). Networking Abroad: A Process Model of How Expatriates Form Support Ties to Facilitate Adjustment. Academy of Management Review, 35(3), 434–454. https://doi.org/10.5465/amr.35.3.zok434. [Google Scholar]
  25. Faulconbridge, J., and Muzio, D. (2015). Global Professional Service Firms and the Challenge of Institutional Complexity: ‘Field Relocation' as a Response Strategy. Journal of Management Studies, 53(1), 89–124. https://doi.org/10.1111/joms.12122. [Google Scholar]
  26. Ferrary, M., and Granovetter, M. (2009). The role of venture capital firms in Silicon Valley's complex innovation network. Economy and Society, 38(2), 326–359. https://doi.org/10.1080/03085140902786827. [Google Scholar]
  27. Foo, M., Uy, M., and Baron, R. (2009). How do feelings influence effort? An empirical study of entrepreneurs’ affect and venture effort. Journal of Applied Psychology, 94(4), 1086–1094. https://doi.org/10.1037/a0015599. [Google Scholar]
  28. Freeman, J. (1982). Organizational life cycles and natural selection processes. Research in Organizational Behavior, 4, 1–32. [Google Scholar]
  29. Ghosh, A., and Rosenkopf, L. (2015). PERSPECTIVE—Shrouded in Structure: Challenges and Opportunities for a Friction-Based View of Network Research. Organization Science, 26(2), 622–631. https://doi.org/10.1287/orsc.2014.0922. [Google Scholar]
  30. Golonka, M. (2013). External Factors Influencing Interorganizational Collaboration: The Strategic Perspective. Central European Management Journal, 21(3), 15–29. https://doi.org/10.7206/mba.ce.2084-3356.69. [Google Scholar]
  31. Golova, I., and Sukhovey, A. (2018). Threats to the Innovative Security of Regional Development in a Digital Society. Economy of Region, 14(3), 987–1002. https://doi.org/10.17059/2018-3-21. [Google Scholar]
  32. Greenacre, L., Freeman, L., and Donald, M. (2013). Contrasting social network and tribal theories: An applied perspective. Journal of Business Research, 66(7), 948–954. https://doi.org/10.1016/j.jbusres.2011.12.015. [Google Scholar]
  33. Gulati, R., Dialdin, D., and Wang, L. (2005). Organizational networks. In: J. Baum (ed.), The Blackwell Companion to Organizations (pp. 288–310). Oxford: Blackwell Publishers. https://doi.org/10.1002/9781405164061.ch12. [Google Scholar]
  34. Hallen, B. (2008). The Causes and Consequences of the Initial Network Positions of New Organizations: From Whom Do Entrepreneurs Receive Investments?. Administrative Science Quarterly, 53(4), 685–718. https://doi.org/10.2189/asqu.53.4.685. [Google Scholar]
  35. Hannan, M., and Freeman, J. (1984). Structural Inertia and Organizational Change. American Sociological Review, 49(2), 149–164. https://doi.org/10.2307/2095567. [Google Scholar]
  36. Hannan, M., and Freeman, J. (1989). Organizational Ecology. Cambridge: Harvard University Press. [Google Scholar]
  37. Haveman, H., and Cohen, L. (1994). The Ecological Dynamics of Careers: The Impact of Organizational Founding, Dissolution, and Merger on Job Mobility. American Journal of Sociology, 100(1), 104–152. https://doi.org/10.1086/230501. [Google Scholar]
  38. He, T., and Shi, Z. (2009). A Stochastic Complex Dynamical Network and Its Synchronization. Advances in Neural Networks – ISNN 2009, 164–174. https://doi.org/10.1007/978-3-642-01507-6_20. [Google Scholar]
  39. Jarvenpaa, S., and Majchrzak, A. (2016). Interactive Self-Regulatory Theory for Sharing and Protecting in Interorganizational Collaborations. Academy of Management Review, 41(1), 9–27. https://doi.org/10.5465/amr.2012.0005. [Google Scholar]
  40. Kase, R., and Zupan, N. (2009). Human capital and structural position in knowledge networks as determinants when classifying employee groups for strategic human resource management purposes. European Journal of International Management, 3(4), 478. https://doi.org/10.1504/ejim.2009.028851. [Google Scholar]
  41. Klenk, J., Binnig, G., and Schmidt, G. (2000). Handling Complexity with Self-Organizing Fractial Semantic Networks. Emergence, 2(4), 151–162. https://doi.org/10.1207/s15327000em0204_13. [Google Scholar]
  42. Lissack, M. (1999). Complexity: The Science, its Vocabulary, and its Relation to Organizations. Emergence, 1(1), 110–126. https://doi.org/10.1207/s15327000em0101_7. [Google Scholar]
  43. Liu, W., Sidhu, A., Beacom, A., and Valente, T. (2017). Social Network Theory. The International Encyclopedia of Media Effects, 1–12. https://doi.org/10.1002/9781118783764.wbieme0092. [Google Scholar]
  44. Lord, R., Dinh, J., and Hoffman, E. (2015). A Quantum Approach to Time and Organizational Change. Academy of Management Review, 40(2), 263–290. https://doi.org/10.5465/amr.2013.0273. [Google Scholar]
  45. McKelvey, B. (1999). Complexity Theory in Organization Science: Seizing the Promise or Becoming a Fad?. Emergence, 1(1), 5–32. https://doi.org/10.1207/s15327000em0101_2. [Google Scholar]
  46. Mierzejewska, W., and Dziurski, P. (2021). How Firms Cooperate in Business Groups? Evidence from Poland. Central European Management Journal, 29(2), 63–88. https://doi.org/10.7206/cemj.2658-0845.46. [Google Scholar]
  47. Morçöl, G. (2015). Self-Organization in Collective Action: Elinor Ostrom's Contributions and Complexity Theory. Complexity, Governance & Networks, 2, 9–22. https://doi.org/10.7564/14-cgn14. [Google Scholar]
  48. Morçöl, G., and Wachhaus, A. (2009). Network and Complexity Theories: A Comparison and Prospects for a Synthesis. Administrative Theory & Praxis, 31(1), 44–58. https://doi.org/10.2753/atp1084-1806310103. [Google Scholar]
  49. Nahapiet, J., and Ghoshal, S. (1998). Social Capital, Intellectual Capital, and the Organizational Advantage. Academy of Management Review, 23(2), 242–266. https://doi.org/10.2307/259373. [Google Scholar]
  50. Neergard, H., and Madsen, H. (2004). Knowledge Intensive Entrepreneurship in a Social Capital Perspective. Journal of Enterprising Culture, 12(2), 105–125. https://doi.org/10.1142/S021849580000063. [Google Scholar]
  51. Nelson, R., and Winter, S. (1982). An Evolutionary Theory of Economic Change. Cambridge: Harvard University Press. [Google Scholar]
  52. Öberg, C. (2012). Mergers and acquisitions as embedded network activities. European Journal of International Management, 6(4), 421. https://doi.org/10.1504/ejim.2012.048156. [Google Scholar]
  53. Pacheco, D., York, J., Dean, T., and Sarasvathy, S. (2010). The Coevolution of Institutional Entrepreneurship: A Tale of Two Theories. Journal of Management, 36(4), 974–1010. https://doi.org/10.1177/0149206309360280. [Google Scholar]
  54. Parkhe, A., Wasserman, S., and Ralston, D. (2006). New Frontiers in Network Theory Development. Academy of Management Review, 31(3), 560–568. https://doi.org/10.5465/amr.2006.21318917. [Google Scholar]
  55. Riahi, A., and Moharrampour, M. (2016). Evaluation of Strategic Management in Business with AHP Case Study: PARS House Appliance. Procedia Economics and Finance, 36, 10–21. https://doi.org/10.1016/S2212-5671(16)30011-9. [Google Scholar]
  56. Rossello, J., Canals, V., Oliver, A., and Morro, A. (2014). Stochastic Spiking Neural Networks at the EDGE of CHAOS. 2014 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/ijcnn.2014.6889597. [Google Scholar]
  57. Scott, J. (2010). Social network analysis: developments, advances, and prospects. Social Network Analysis and Mining, 1(1), 21–26. https://doi.org/10.1007/s13278-010-0012-6. [Google Scholar]
  58. Shane, S. and Khurana, R. (2001). Bringing individuals back in: the effects of career experience on new firm founding. Academy of Management Proceedings, 2001(1), F1–F6. https://doi.org/10.5465/apbpp.2001.6133762. [Google Scholar]
  59. Soda, G., Usai, A., and Zaheer, A. (2004). Network Memory: The Influence of Past and Current Networks on Performance. Academy of Management Journal, 47(6), 893–906. https://doi.org/10.5465/20159629. [Google Scholar]
  60. Sommer, S., Loch, C., and Dong, J. (2009). Managing Complexity and Unforeseeable Uncertainty in Startup Companies: An Empirical Study. Organization Science, 20(1), 118–133. https://doi.org/10.1287/orsc.1080.0369. [Google Scholar]
  61. Stinchcombe, A. (1965). Organizations and social structure In: J. March (ed.), Handbook of Organizations (pp. 142–193). Chicago: Rand McNally. [Google Scholar]
  62. Stratton, G., Powell, A., and Cameron, R. (2017). Crime and Justice in Digital Society: Towards a ‘Digital Criminology’?. International Journal for Crime, Justice and Social Democracy, 6(2), 17–33. https://doi.org/10.5204/ijcjsd.v6i2.355. [Google Scholar]
  63. Tate, M., Furtmueller, E., and Wilderom, C. (2013). Localising versus standardising electronic human resource management: complexities and tensions between HRM and IT departments. European Journal of International Management, 7(4), 413. https://doi.org/10.1504/ejim.2013.055280. [Google Scholar]
  64. Tichy, N., Tushman, M., and Fombrun, C. (1979). Social Network Analysis for Organizations. The Academy of Management Review, 4(4), 507–519. https://doi.org/10.2307/257851. [Google Scholar]
  65. Webster, F. (2006). Theories of the Information Society (pp. 7–14). Abingdon: Routledge. https://doi.org/10.4324/9780203962824. [Google Scholar]
  66. Whelan, E. (2011). It's who you know not what you know: a social network analysis approach to talent management. European Journal of International Management, 5(5), 484. https://doi.org/10.1504/ejim.2011.042175. [Google Scholar]
  67. Yu, W., Chen, G., and Cao, J. (2011). Adaptive synchronization of uncertain coupled stochastic complex networks. Asian Journal of Control, 13(3), 418–429. https://doi.org/10.1002/asjc.180. [Google Scholar]
  68. Yulmetyev, R., Hänggi, P., and Gafarov, F. (2000). Stochastic dynamics of time correlation in complex systems with discrete time. Physical Review E, 62(5), 6178–6194. https://doi.org/10.1103/physreve.62.6178. [Google Scholar]
  69. Zhou, Y. (2013). Designing for Complexity: Using Divisions and Hierarchy to Manage Complex Tasks. Organization Science, 24(2), 339–355. https://doi.org/10.1287/orsc.1120.0744. [Google Scholar]
  70. Zuo, Z., Liu, G., and Li, H. (2019). Research on inspection and certification industry based on dissipative structure theory. Thermal Science, 23(5 Part A), 2839–2848. https://doi.org/10.2298/tsci190107198z. [Google Scholar]

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APA style

Asbaş, Caner & Şenyuva, Zühal & Tuzlukaya, Şule (2022). New Organizations in Complex Networks: Survival and Success. (2022). New Organizations in Complex Networks: Survival and Success. Central European Management Journal, 30(1), 11–39. https://doi.org/10.7206/cemj.2658-0845.68 (Original work published 03/2022AD)

MLA style

Asbaş, Caner and Şenyuva, Zühal and Tuzlukaya, Şule. “New Organizations In Complex Networks: Survival And Success”. 03/2022AD. Central European Management Journal, vol. 30, no. 1, 2022, pp. 11–39.

Chicago style

Asbaş, Caner and Şenyuva, Zühal and Tuzlukaya, Şule. “New Organizations In Complex Networks: Survival And Success”. Central European Management Journal, Central European Management Journal, 30, no. 1 (2022): 11–39. doi:10.7206/cemj.2658-0845.68.