Optimization of Integral Knowledge, Innovation and Technologies Cluster Structure


  • Aleksandras Vytautas Rutkauskas Vilnius Gediminas technical university
  • Irena Račinskaja Vilnius Gediminas technical university
  • Viktorija StasytytÄ— Vilnius Gediminas technical university


The cluster of knowledge, innovation and technologies, the structure of cluster, technologies of the complex system, universally sustainable development


The paper describes the search for an answer to the question – how the structure of knowledge, innovation and technologies’ cluster should be formed, when the structure is understood as a set of interacting components of the system and when the object or even functions of the cluster change from being a resource for the object, process or system development, the cluster further becomes the technology of adaptive complex system. The authors synthesize the existing opinions and also reveal their own opinion about the possibility to reveal the interaction among knowledge, innovation and technologies in the context of value creation or resource management, when the object of the cluster becomes the project of country universally sustainable development. In turn, the cluster will be perceived as the sum total of subjects, the main functions of which are intended for the cognition and realization of management possibilities of certain object, process or system. This paper presents the original evaluation performed by the authors in order to optimally allocate the investment resources for knowledge, innovation and technologies among distinctive subsystems of universally sustainable development, as well as to optimally allocate the investment resources inside the cluster among the creation and development of knowledge, innovation and technologies. Using the possibilities of stochastic informative expertise, the experimental distribution of the marginal unit among the components of universally sustainable development has been carried out, which would give the maximum growth of country sustainability index, measuring it by the adequate composition of development components, and experimental distribution of the marginal unit in the cluster among knowledge, innovation and technologies would give the maximum growth of cluster integral functionality.




Aghion, P., Howitt, P., “Joseph Schumpeter Lecture†Appropriate Growth Policy: A unifying Frameworkâ€, Journal of the European Economic Association, no. 4, pp. 269-314, 2006.

Alam, S., Kabir, N., “Economic Growth and Environmental Sustainability: Empirical Evidence from East and South-East Asiaâ€, International Journal of Economics and Finance, vol. 5, no. 2, pp. 86–97, 2013.

Antonelli, C., “The economics of innovation: from the classical legacies to the economics of complexityâ€, Economics of Innovation and New Technology, vol. 18, no. 7, pp. 611–646, 2009.

Archibugi, D., Coco, A., “Is Europe Becoming the Most Dynamic Knowledge Economy in the World?â€, Journal of Common Market Studies, no. 43, pp. 433-459, 2005.

Bjornson, G., Dingsoyr, T., “Knowledge management in software engineering: A systematic review of studied concepts, findings and research methods usedâ€, Information and Software Technology, no. 50, pp. 1055–1068, 2008.

Camic, Ch., Grossm N., Lamont, M., Social knowledge in the making, University of Chicago Press, 2012.

Ertmer, P. A., Ottenbreit-Leftwich, A. T., “Teacher Technology Change: How Knowledge, Confidence, Beliefs and Culture Intersectâ€, Journal of Research on Technology in Education, vol. 42, no. 3, pp. 255–284, 2010.

EU Future Program 2014-2020, accessed on 5th of September, 2013, Available online: http://ec.europa.eu/citizenship/about-the-europe-for-citizens-programme/future-programme-2014-2020/index_en.htm.

Griffith, R., Redding, S., Van Reenen, J., “Mapping the Two Faces of R&D: Productivity Growth in a Panel of OECD Countriesâ€, Review of Economics and Statistics, no. 86, pp. 883-895, 2004.

Hekkert, M.P., Negro, O.S., “Functions of innovation system as a framework to understand sustainable technological change: Empirical evidence for earlier claimâ€, Technological forecasting and social change, vol. 76, pp. 584-594, 2009.

Kale, D., Little, S. E., “Flows and Cohesion: Balancing Capabilities across en Expanded Unionâ€, Mobilities, no. 2, pp. 99-108, 2007.

Karlsson, Ch., Johansson, B., Norman, T., “Innovation, Technology and Knowledgeâ€, CESIS Electronic Working Paper Series, no. 247, pp. 1-20, 2011.

NaÅ¡tase, G. I., “Innovative Models of Increasing Competition and Competitiveness in Scienceâ€, Journal of Knowledge Management, Economics and Information Technology, no. 2, pp. 233–240, 2013.

Nicoletti, G., Scarpetta, S., “Regulation, Productivity and Growth: OECD Evidenceâ€, Economic Policy, no. 18, pp. 9-72, 2003.

Nooteboom, M., Inter-Firm Collaboration, Learning and Networks: An Integrated Approach, Routledge, London, 2004.

Pacharapha, T., Ractham, V. V., “Knowledge acquisition: the roles of perceived value of knowledge content and sourceâ€, Journal of Knowledge Management, vol. 16, no. 5, pp. 724–739, 2012.

Rutkauskas, A. V., “Adequate Investment Portfolio Anatomy and Decisions, Applying Imitative Technologiesâ€, Economics, no. 75, pp. 52–76, 2006.

Rutkauskas, A. V., RaÄinskaja, I., “Integrated intelligence and knowledge, innovation and technology management, nurturing country universal sustainable developmentâ€, In Proceedings of the 2nd international scientific conference “Problems of modern economy: global, national and regional contextâ€, May 23-24, 2013, Grodno, Belarus. Grodno: Yanka Kupala State University of Grodno, pp. 205-211, 2013.

Rutkauskas, A. V., RaÄinskaja, I., KvietkauskienÄ—, A., Integral cluster of knowledge, innovation and technology as a self-regulating complex systemâ€, Business, Management and Education, (in print), pp. 1-20. 2013.

Rutkauskas, A. V., StasytytÄ—, V., LapinskaitÄ—, I., “Sustainabilities Portfolio as System to Envisage and Manage Universal Sustainabilityâ€, In Proceedings of the 1st World Sustainability Forum, November 1-30, 2011, pp. 1-7, 2011.

Santos Silva, L. C., Kovaleski, J. L., Gaia, S., Garcia, M., Junior, A., “Technology Transfer and Knowledge Management in Technological Innovation Center: A Case Study in Brazilâ€, Journal of Management and Strategy, vol. 4, no. 2, pp. 78–87, 2013.

Sapir, A., et al., An Agenda for Growth in Europe: The Sapir Report, Oxford University Press, Oxford, 2004.

Shiu-Li, H., Chia-Wei, Y., “Designing a semantic bliki system to support different types of knowledge and adaptive learningâ€, Computer & Education, no. 53,pp. 701-712, 2009.

Sullivan, D. M., Marvel, M. R., “Knowledge Acquisition, Network Reliance and Early-Stage Technology Venture Outcomesâ€, Journal of Management Studies, vol. 48, no. 6, pp. 1169–1193, 2011.

Todtling, F., Lehner, P., Kaufmann, A., “Do different types of innovation rely on specific kinds of knowledge interactions?â€, Technovation, no. 29, pp. 59-71, 2009.

Vaz, T. N., Nijkamp, P., „Knowledge and innovation: The strings between global and local dimensions of sustainable growthâ€, Entrepreneurship & Regional Development: An International Journal, vol. 21, no. 4, pp. 441–455, 2009.

Verbeek, A., Debackere, K., Luwel, M., “Science Cited in Patents: A Geographic „Flow“ Analysis of Bibliometric Citation Patterns in Patentsâ€, Scientometrics, no. 58, pp. 241-263, 2003.

Veugelers, M., Bury, J., Viaene, S., “Linking technology intelligence to open innovationâ€, Technological forecasting and social change, no. 77, pp. 335-5343, 2010.

Yang, T., Wang, N., “The Cultivation of Cluster’s Sustainable Competence Based on Knowledge Managementâ€, International Journal of Business and Management, vol. 3, July 2008




How to Cite

Rutkauskas, A. V., Račinskaja, I., & Stasytytė, V. (2014). Optimization of Integral Knowledge, Innovation and Technologies Cluster Structure. Asian Journal of Business and Management, 2(1). Retrieved from https://ajouronline.com/index.php/AJBM/article/view/895