Abstract
A business can be perceived as a set of unique resources and capabilities forming the basis of its strategy. Several examples in the literature focus on the impact of internal resources on shaping the development of a new venture. Thus, the human capital of a business, and more specifically the skills and knowledge of employees and the background of the founding team, can play a decisive role in the future success of new start-ups (Westhead et al., Journal of Business Venturing 16: 333–358, 2001). Technological resources, such as patents and trade secrets, can also be an important source of competitive advantage, growth, and development. At the same time, technological knowledge emerges as a resource creating higher value for the business and utilization of knowledge in the core of knowledge-based entrepreneurship. Furthermore, the organizational resources and capabilities, such as coordination and control processes, internal learning processes, marketing, and the links developed with the external environment, for example, networking with other businesses, universities, or research institutes for exchange and dissemination of knowledge, significantly affect its innovative performance and growth. Since knowledge entrepreneurship is high-potential entrepreneurship, the driving force for economic growth and its targeted promotion can be achieved by focusing on those factors that can affect it. In the context of this article, we have seen that such factors may be the knowledge and skills of the founders, the size of businesses, and their ability to identify and exploit market opportunities, their export orientation, and whether they were established before or after the onset of the economic crisis.
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References
Arvanitis, S., & Stucki, T. (2012). What determines the innovation capability of firm founders? Industrial and Corporate Change, 21(4), 1049–1084.
Bosma, N. (2010). Overview of theory, statistical evidence and case studies on knowledge-based entrepreneurship, clusters and economic growth. del. 2.4.1. AEGIS project.
Carlsson, B., Acs, Z., Audretsch, D. and Braunerhjelm, P., (2007). The Knowledge Filter, Entrepreneurship, and Economic Growth. SSRN Electronic Journal.
De Jong, J., & Marsili, O. (2006). The fruit flies of innovations: A taxonomy of innovative small firms. Research Policy, 35(2), 213–229.
Dimitrios, N. K., Foteini, P. E., Sakas, D. P., & Vlachos, D. S. (2017). The development of new ideas for it products through social media. In Springer proceedings in business and economics (pp. 399–404). Cham: Springer.
Dimitrios, N. K., Reklitis, P., & Sakas, D. P. (2019a). Modeling and simulation of the strategic use of social media networks in search engines for the business success of high technology companies. In Springer proceedings in business and economics (pp. 227–236). Cham: Springer.
Dimitrios, N. K., Reklitis, P., & Sakas, D. P. (2019b). Modeling and simulation of the strategic use of marketing in search engines for the business success of high technology companies. In Springer proceedings in business and economics (pp. 217–226). Cham: Springer.
Dimitrios, N. K., Reklitis, P., & Sakas, D. P. (2019c). Modeling and simulation of the strategic use of the internet forum aiming at business success of high-technology companies. In Springer proceedings in business and economics (pp. 169–171). Cham: Springer.
Dimitrios, N. K., Sakas, D. P., & Vlachos, D. S. (2013). The contribution of dynamic simulation model of depiction of knowledge, in the leading process of high technology companies. Key Engineering Materials, 543(2013), 406–409.
Dimitrios, N. K., Sakas, D. P., Vlachos, D. S., & Mavrogianni, A. (2015). Simulation of generation of new ideas for new product development and IT services. AIP (American Institute of Physics) Conference Proceedings, 1644, 60.
Foray, D. (2006). Economics of knowledge. Cambridge: MIT Press.
Groen, A. (2005). Knowledge intensive entrepreneurship in networks: towards a multi-level/multidimensional approach. Journal of Enterprising Culture, 13(01), 69–88.
Hisrich, R. (1992). The need for marketing in entrepreneurship. Journal of Business & Industrial Marketing, 7(3), 53–57.
Hisrich, R., Peters, M., & Shepherd, D. (2010). Entrepreneurship. New York: McGraw-Hill/Irwin.
Knaup, A., & Piazza, M. (2007). Business employment dynamics data: Survival and longevity, II. Monthly Labor Review, 30(9), 3–10.
Malerba, F., & McKelvey, M. (2010). Conceptualizing knowledge-intensive entrepreneurship: concepts and models. del. 1.1.1. AEGIS project.
OECD. (2014). Entrepreneurship at a glance 2014. Paris: OECD.
Stam, E., & Garnsey, E. (2008). Entrepreneurship in the knowledge economy. In J. Bessant & T. Venables (Eds.), Creating wealth from knowledge (pp. 145–176). Cheltenham: Edward Elgar.
Stokes, D. (2000). Putting entrepreneurship into marketing: The processes of entrepreneurial marketing. Journal of Research in Marketing and Entrepreneurship, 2(1), 1–16.
Westhead, P., Wright, M., & Ucbasaran, D. (2001). The internationalization of new and small firms. Journal of Business Venturing, 16(4), 333–358.
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Kanellos, N., Siokas, G. (2021). Identifying Key Factors of the Knowledge-Intensive Entrepreneurship: Evidence from Greek High-Tech Sectors. In: Sakas, D.P., Nasiopoulos, D.K., Taratuhina, Y. (eds) Business Intelligence and Modelling. IC-BIM 2019. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-57065-1_16
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