Analysis of the interaction of ambidextrous clusters actors: identifying strategies with game theory

Document Type : Original Article

Authors

1 PhD candidate in Entrepreneurship

2 Assistant Professor of Management and Entrepreneurship

3 Associate Professor of Economics

Abstract

The approach of cluster development as one of the new strategies of industrial development in the last two decades has been considered by policymakers. The business clusters as a spatial focus of firms with shared opportunities and threats, in order to survive in a turbulent competitive environment, requires simultaneous attention to exploring future opportunities and exploiting current capabilities. Ambidexterity in business clusters as open systems with complex economic and social links requires recognizing the interaction between actors and paying attention to their preferences. This research is descriptive in terms of data collection and qualitative in terms of data type which is based on the study of articles, policy documents, reports and conducting interviews with experts. Due to the complexity of the conflict between actors, using a game theory model called graph model, interactions and preferences between different actors of the ambidextrous business clusters are modeled and analyzed and based on it, and the most probable results are presented. The results of the model show that the government, business clusters and scientific and research centers are three actors that are in a new equilibrium state with unilateral improvement, while financing institutions and business development service providers are not in a new equilibrium state.

Keywords


Abdoli, Gh. 2014. Game theory and its applications: static and dynamic games with complete information. Fourth Edition: Tehran University Jihad Publications. Tehran. [In Persian]
Alipour, F., Idris, Kh., Karimi, R. 2011. Knowledge Creation and Transfer: Role of Learning Organization. International Journal of Business Administration, 2(3), pp. 61-67.
Alizade Sani, M., Shojaian, A. 2014. Identifying and Prioritizing Success Factors of Industrial Cluster of Carpet in North Khorasan. Goljaam; 10 (25):85-100. URL: http://goljaam.icsa.ir/article-1-94-fa.html
Alizadeh, Y., Antonie J. 2018. Pathways for Balancing Exploration and Exploitation in Innovations: A Review and Expansion of Ambidexterity Theory. International Journal of Innovation and Technology Management, 17(1).
Amin-Tahmasbi, H., Hami, M. 2019. Investigating the factors affecting the Performance of industrial clusters in Guilan province using Gray Dematel, Quarterly journal of Industrial Technology Development, 17(35), pp. 73-86.
Ansari, M., Falahati, A., Delangizan, S. 2017. Modelling and Strategic Analysis of Pension Crisis in Iran: A Game Theory Approach, Journal of Management Improvement, 11(1), pp. 61-92.
Argote, L., Ingram, P. 2000, Knowledge transfer: A Basis for Competitive Advantage in Firm. Organizational Behavior and Human Decision Processes, 82(1), pp. 150-169.
 
Aziz, K. A., Norhashim, M. 2008. Cluster-Based Policy Making: Assessing Performance and Sustaining Competitiveness. Review of Policy Research, 25, 349-375.
Baharvandi, A.  2017. Creating Clusters of Financing, Appropriate Pattern of Resistance in Economic Infrastructure and Support for Knowledge-Based Industries. Islamic Economics Studies. 9 (2). 179-206. [In Persian]
Danesh shakib, M. 2018. A dynamic model of investment development and improvement of competitive advantage: The case of Iran industrial clusters, Journal of International Business Administration, 1(2), pp. 111-134. doi: 10.22034/jiba.2018.7597
Bergman, E. M. 2007. Cluster life cycles: an emerging synthesis. Handbook of Research on Cluster Theory. Cheltenham. Edward Elgar: pp. 114–132.
Bettis-Outland, H., Felzensztein, C., Gimmon, E., Aqueveque, C. 2012. Clusters or un-clustered industries? Where inter-firm marketing cooperation matters. Journal of Business & Industrial Marketing, 27(5), 392-402.
Caloffi, A., Rossi, F., Russo, M. 2013. What Networks to Support Innovation? Evidence from a Regional Policy Framework. In T. Gilbert, M. Kirkilionis and G. Nicolis (Eds.), Proceedings of the European Conference on Complex Systems 2012: Springer International Publishing. pp. 903-912
Cohen, Levinthal. 1990. Absorptive Capacity: A new perspective on learning and innovation. Administrative Science Quarterly.
Cooke, P. 2002. Biotechnology clusters as regional, sectoral innovation systems. International Regional Science Review, 25(1), 8-37.
Cotic-Svetina, A., Jaklic, M., Prodan, I. 2008. Does Collective Learning in Clusters Contribute to Innovation? Science & Public Policy , 35(5), pp. 335-345.
 
Dolores, G. R; M., Gómez-Loscos, A., Bandrés, E. 2018. Clustering regional business cycles. Economics Letters, 162(1), 171-176.
Eisingerich, A. B., Bell, S. J., Tracey, P. 2010. How can clusters sustain performance? The role of network strength, network openness, and environmental uncertainty. Research Policy, 39(2), 239-253.
Eskandarzadeh fard, T., Bohlooli, N. 2020. The Role of Leading Firms and Business Clusters in Regional Innovation. Journal of Innovation and Creativity in Human Science, 10(1), pp. 161-188.
Fadaee, M., Derakhshan, M. 2015. Analysis of Short Run and Long Run Effects of Economic Sanctions on Economic Growth in Iran. Quarterly Journal of Economic Growth and Development Research, 5(18), pp. 132-113.
Faems, D., Van Looy, B. Debackere, K. 2005. Inter organizational Collaboration and Innovation: Toward a Portfolio Approach. Journal of Product Innovation Management. 22: 238–250.
Fang, L., Hipel, K. W., Kilgour, D. M. 1993. Interactive Decision Making: The Graph Model for Conflict Resolution. John Wiley and sons.
Fang, L., Hipel, K. W., Kilgour, D. M., Peng, X .2003. A decision support system for interactive decision making-part II: analysis and output interpretation. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 33(1), 56-66.
Ferrary, M. 2011. Specialized organizations and ambidextrous clusters in the open innovation paradigm. European Management Journal, 29(3), 181–192.
Ghaderian, S., Golrou Mofrad, M. 2013. Innovation Status in Yazd Textile Industrial Cluster., Innovation Management Journal, 2(3), pp. 1-25.
Gibson, C. B. Birkinshaw, J. 2004. The Antecedents, Consequences, and Mediating Role of Organizational Ambidexterity.  Academy of Management Journal 47(2): 209–26.
GIiulian, E. 2007. The selective nature of knowledge networks in clusters: evidence from the wine industry. Journal of Economic Geography. 7, 139–168.
Gnyawali, DR., Srivastava, MK. 2013. Complementary effects of clusters and networks on firm innovation: A conceptual model. Journal of Engineering and Technology Management. 30, pp.1–20.
Guba, Egan G, Lincoln, Yonn A S. 1984. Competing paradigms in qualitative research. Handbook of qualitative research. In Norman K. Denzin and Yonn A S. Lincoln (Eds), The handbook of qualitative research. Newbury Park, CA: Sage.
Hamilton. R., Dana. L. 2003. An Increasing Role for Small Business in New Zealand, Journal of Small Business Management. 41, Issue 4, pages 402–408.
Heimeriks, K. H., Duysters, G., Vanhaverbeke, W. 2007. Learning Mechanisms and Differential Performance in Alliance Portfolios. Strategic Organization 5(4): 373–408.
Herliana, S. 2015. Regional Innovation Cluster for Small and Medium Enterprises (SME): A Triple Helix Concept. Procedia-Social and Behavioral Sciences, 169, 151-160.
Janson J. p., Simsek Z., Cao Q. 2012. Ambidexterity and performance attributes. Strategic Management Journal in multiunit contexts: Cross-level moderating effects of structural and resource, 33(11):1286-1303
Kang, S., Morris, S. S., Snell, S. A. 2007. Relational Archetypes, Organizational Learning, and Value Creation: Extending the Human Resource Architecture. Academy of Management Review, 32(1): 236–56.
Karimi Zarchi, M., Fathi, M., Nasrollahi, M. 2019. Presentation of Structural Equation Model for Sustainable Development of Business Cluster in Iran based on the Strengthen of Export Position. Journal of International Business Administration, 2(2), pp. 95-116. doi: 10.22034/jiba.2019.9116
Kauppila, O. 2007. Towards a network model of ambidexterity (No. W-429) (p. 429). Helsinki School of Economics Working Papers.
Kazazi, A., Tabatabaeian, S., Amiri, M., Shirazi Shayesteh, M. 2014. An Analysis of Factors Affecting the Formation and Development of Innovative Cluster in Iranian Helicopter Industry. Innovation Management Journal, 3(1), pp. 23-45.
Kilgour, D.M., Hipel, K.W. 2001. Coalition Analysis in Group Decision Support", Group Decision and Negotiation, 10: 159–175.
Kilgour, D.M., Hipel, K.W. 2010. Conflict Analysis Methods: The Graph Model for Conflict Resolution. In Kilgour, D.M. and Eden, C. (Editors), Handbook of Group Decision and Negotiation, Dordrecht, Springer
Kyaw, A. 2008. Financing Small and Medium Enterprises in Myanmar. IDE Discussion paper, 148.
Lai, Y. L., Hsu, M. S., Lin, F. J., Chen, Y. M., Lin, Y. H. 2014. The effects of industry cluster knowledge management on innovation performance. Journal of Business Research, 67(5), 734-739.
Liao, T. J. 2010. Cluster and performance in foreign firms: The role of resources, knowledge, and trust. Industrial Marketing Management, 39(1), 161-169.
Lei, Han-Sheng., Huang, Chin-Hua. 2014, Geographic clustering, network relationships and competitive advantage. Management Decision, 52(2) pp. 852.
 
Longhi, Christian. 2015. Clusters and Collective Learning Networks: The Case of the Competitiveness Cluster Secure Communicating Solutions' in the French Provence-Alpes-Côte d'Azur Region. Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.
Manzoor, D., Mostafapour, M. 2013. Reviewing Unfair Sanctions: Features, Objectives and Fulfilled Measures. Qjfep, 1 (2):21-42. URL: http://qjfep.ir/article-1-29-fa.html
Martin, R., Sunley, P. 2011. Conceptualizing Cluster Evolution: Beyond the Life Cycle Model? Regional Studies, 45.10, pp. 1299–1318, November 2011
Matbouli, Y., Kilgour, D. M. W. 2015. Robustness of equilibria in the graph model for conflict resolution. J Syst Sci Syst Eng, 24(4), 450-465.
Menzel M.P., Fornahl D. 2010. Cluster life cycles—dimensions and rationales of cluster evolution. Industrial and Corporate Change, 19(1): 205–238
Mihajlović, I. 2014. Possibilities for development of business cluster network between SMEs from Visegrad countries and Serbia. Serbian Journal of Management, 9(2), 145-148.
Mir Ghaderi, S. H., Alam Tabriz, A., Farsijani, H., Farzad, F. 2016. Identifying Performance Dimensions of Industrial Clusters Using Consensus Cluster Analysis. Industrial Management Studies, 13 (38), pp. 1-25. [In Persian]
Monavarian, A., abbasi, T., Soleimani, G., Aghamohseni Fashami, A. 2018. Designing and explaining of policy-making model for business clusters development in Iran.  Public Policy, 3(4), pp. 9-28. doi: 10.22059/ppolicy.2018.65589
Moradi, M., Zandi Paak, R. 2016. The Effect of Companies' Participation or Non-Participation in the Creation of Industrial Clusters on Their Innovation Performance with an Emphasis on the Mediatory Role of Knowledge Management. Innovation Management Journal, 5(1), pp. 1-28.
Moghimi, F., Lahouti Eshkevari, T., Mousavi Naqabi, S. M.  2019. Explain the necessity and achievements of the business cluster development program in Iran. Tadbir Management Scientific Educational Monthly. 29 (305), 33-22. [In Persian]
Nazari, M., Hasangholipour, T., Soleimani, G., Abbasian, E., Moussavi Neghabi, S. M. 2017. Investigation of the Productivity of Networking Activities and Improvement Projects on the Sales and Employment of Iranian Agricultural Clusters. Iranian Economic Review, 21(1), 45-70.
Nwankwo, S., Gbadamosi, T. 2010. Entrepreneurship marketing: principles and practice of SME marketing: Routledge.
Oak, M. K., Jaffe, S. 2010. The new Korea: an inside look at South Korea's economic rise. New York: AMACOM.
O'Reilly, C., Tushman, M. 2008. Ambidexterity as a dynamic capability: Resolving the innovator's dilemma. Research in Organizational Behavior, 28, 185–206.
Praphamontripong, P. 2010. A Political Economy of Thai Private Higher Education. A Dissertation Submitted to the University at Albany, State University of New York. In Partial Fulfillment of the Reqirements for the Degree of Doctor of Philosophy.
Qasemi, A. 2018. Dynamic Model of Competitiveness of Business Clusters with Emphasis on Industrial Clusters of Semnan and Tabriz Auto Parts. PhD Thesis in Economics, Payame Noor University, Tehran Postgraduate Center. [In Persian]
Rahbar, F., Seif, A. M., Farajallah Zadeh, M. 2020. Explaining Discourse of Thoughts, Opinions, Ideas and Guidelines of Imam Khamenei (His long shadow is long and continued) Against Economic Sanctions. Journal of Strategic Knowledge Interdisciplinary Studies, 10 (40), 354-319. [In Persian]
Rajabpour, H., Sattarifar, M. 2014. Investigation into Industrial Clusters’ Development Effect on Efficiency and Competitive Advantage of Small and Medium Enterprises (SMEs) Individual Study: Stone Processing Cluster of Tehran. Journal of Regional Economics and Development, 20(6), 54-82. [In Persian]
Riahi, A. 2014. Ranking the critical factors of success in the development of industrial clusters in Iran. Researcher Management (Journal of Industrial Strategic Management), 10 (31), 91-102. https://www.sid.ir/fa/journal/ViewPaper.aspx?id=221250. [In Persian]
Reid, R., Harris, R.I.D. 2004. Family-Owned SME Growth in Scotland: A Comparison with the UK. Report to Scotecon.
Romanelli, E., Khessina, O. M. 2005. Regional industrial identity: Cluster configurations and economic development. Organization science, 16(4), 344-358.
Rosenhead, J., Mangers, c. 1989. Research in soft operations Problem-building methods in conditions of complexity, uncertainty and conflict. Translated by Azar, Anwari. Negah Danesh Tehran Publications. [In Persian]
Small Industries and Industrial Towns Organization of Iran. 2020. Available at: https://isipo.ir/index.jsp?fkeyid=&siteid=1&pageid=269. [In Persian]
Sheikhmohammadi, M., Abbasi, M. 2016. Game Theory Approach to Modeling and Analyzing Inheritance Allocation of a Passed-away Couple. Economical Modeling, 10(33), pp. 23-48.
Stadler, C., Rajwani, T., Karaba, F. 2014. Solutions to the exploration/exploitation dilemma: networks as a new level of analysis. International Journal of Management Reviews, 16(2), 172-193.
Thornton, S. C., Henneberg, S. C., Naudé, P. 2013. Understanding types of organizational networking behaviors in the UK manufacturing sector. Industrial Marketing Management, 42(7), 1154-1166.
Torabi, J., Mohammadi elyasi, G., Soleimani, G., Zaefarian, R. 2018. Identifying Challenges related with outputs of Business Development Service Centers in Iran. Journal of Entrepreneurship Development, 11(2), pp. 241-259. doi: 10.22059/jed.2018.68107
Tripple, M. Grillitsch, M. Isaksen, A. Sinozic T. 2015 Perspectives on Cluster Evolution. Critical Review and Future Research Issues, 23(10), pp 2028-2044.
Wobmann, L. 2008. Efficiency and Equity of European Education and Training Policies. Int Tax Public Finance, 15: 199 -230.
Wang, Lan. 2013. Research on Collective Learning Mechanism and Influencing Factors of Industrial Cluster Innovation Network Research. Journal of Applied Sciences, Engineering and Technology, 5(6), pp. 2278-2283.
 
Wang, S., Noe, R.A. 2010. Knowledge sharing: A review and directions for future research. Human Resource Management Review, 20(2) pp. 115-131.
 
Wolf, T., Cantner U., Graf H., Rothgang M. 2017. Cluster ambidexterity towards exploration and exploitation. strategies and cluster management.
Zhou, Zh. K. 2006. Innovation, imitation, and new product performance: The case of China. Journal of Industrial Marketing Management, 35, pp: 394–402.
Zohurian, M., Rahimnia, F. 2015. Designing a model for sustainable Development of business Clusters in Iran.  Journal of Entrepreneurship Development, 8(1), pp. 41-59. doi: 10.22059/jed.2015.53243