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, R. (2010). Knowledge dynamics and Ba. The Annals of the “Stefan cel Mare” University of Suceava , 10 , 217-223. Bejinaru, R. (2017a). Dynamic capabilities of universities in the knowledge economy. Management Dynamics in the Knowledge Economy , 5 (4), 577-595. doi: 10.25019/MDKE/5.4.07 Bejinaru, R. (2017b). Knowledge strategies aiming to improve the intellectual capital of universities. Management & Marketing. Challenges for the Knowledge Society , 12 (3), 500-523. doi: 10.1515/mmcks-2017-0030. Bejinaru, R. (2018). Assessing students’ entrepreneurial skills

References Bejinaru, R. (2017). Universities in the knowledge economy. Management Dynamics in the Knowledge Economy, Vol. 5, No. 2, pp. 251-271. Bolisani, E., and Bratianu, C. (2017). Knowledge strategy planning: an integrated approach to manage uncertainty, turbulence, and dynamics. Journal of Knowledge Management , Vol. 21, No. 2, pp. 233-253. Bratianu, C. (2011). A new perspective of the intellectual capital dynamics in organizations. In Vallejo-Alonso, B., Rodriguez-Castellanos, A. and Arregui-Ayastuy, G. (Eds.). Identifying, measuring, and valuing


This paper reviews the issues of multi-level system of indicators on the activity of innovative technology parks in the sectors of information and knowledge economy. The economic system of developed and developing countries is primarily based on natural and material resources. At the next stage of development, a new innovative economy based on information, knowledge, and ICT is formed through the resource advantages. In such conditions, the main economic development growth is realized in innovative technoparks. The foundations of scientific and methodological development of composite indicator system are explored, in this regard. The stages of development of hierarchical indicators system, requirements posed to them, their generalized composition and content are shown. Main group of indicators characterizing the activity of technology parks separately and its relevant function are defined. A system of multi-level composite indicators integratively reflects the main level and the lower levels coming after it. Indicators system includes the main composite index and 10 sub-indices of technoparks. Composite index contains sub-indices of significance and scalability, infrastructure and information provision, favorable business environment, investment-financial reserves and material-technical resources, innovative potential, activeness and environment, human resources and professional staff training, scientific-research, experimental developments and innovative projects, innovation products and services, effective management and creative results, socioecological development. The study presents the stages of successive formation of indicators and variables upon which main indices and sub-indices of technology parks functionally depend. Directions of future research are identified on the basis of indicators.

. & Petraite, M. (Eds.). Proceedings of the 14 th European Conference on Knowledge Management, Kaunas University of Technology, Lithuania (Vol.1, pp. 82-90), 5-6 September 2013. Reading: Academic Conferences and Publishing International. Braunerhjelm, P., & Thulin, P. (2008). “Can countries create comparative advantages? R&D expenditures, high-tech exports and country size in 19 OECD countries, 1981–1999”. International Economic Journal, Vol. 22, No. 1, pp. 95-111. Brinkley, I. (2006). Defining the knowledge economy, Knowledge economy programme report, DTI Competitiveness

Management Learning & Education, Vol. 13, No. 2, pp. 171-186. Bejinaru, R. (2018), “Factorial analysis perspectives upon students’ skills in the knowledge economy”, Management Dynamics in the Knowledge Economy, Vol. 6, No. 2, pp. 265-284. Bejinaru, R. (2017a), “Universities in the knowledge economy”, Management Dynamics in the Knowledge Economy, Vol. 5, No.2, pp. 251-271. Bejinaru, R. (2017b),”Knowledge strategies aiming to improve the intellectual capital of universities”, Management & Marketing. Challenges for the Knowledge Society, Vol. 12, No. 3, pp. 500-523. Bejinaru

Markusen 1996 ). While the world’s major cities are being pulled closer together in relational terms, smaller cities and peripheral areas are being left behind. The growing relevance of the knowledge economy and its tendencies towards both spatial concentration and global dispersal have induced new forms of hierarchical and network development, as well as functional differentiation between cities and towns leading to the emergence of polycentric Mega-City Regions. This newly-emerging urban form is spread out over a large area containing a number of physically separated


Solutions of the Information and Communication Technology (ICT) are the foundation of modern economic organizations in a knowledge economy. This is the case in particular in intelligent organizations, for which the advanced ICT infrastructure is the sine qua non condition for the effective knowledge management. This article is aimed at describing the role of modern ICT trends, which are described as SMAC, (Social, Mobility, Analytics, Cloud), and are becoming an essential ICT element supporting management processes. Such solutions enable to create new models of organization operations on the global markets using strategic resources, such as the knowledge supported with SMAC solutions. The arguments are illustrated with results of own research conducted by the author in 2014-2016 in selected SME’s from the Mazowieckie and Wielkopolskie rovinces and their reference to the general development trends in this area.

-17). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-34471-8_1. Bratianu, C., & Anagnoste, S. (2011). The role of transformational leadership in mergers and acquisitions in emergent economies. Management & Marketing. Challenges in the Knowledge Economy , 6(2), 312-326. Bratianu, C., Vasilache, S., & Jianu, I. (2006). In search of intelligent organizations. Management & Marketing , 1(4), 71-82. Bratu, R., & Petria, N. (2018). Evaluation of banking digitization policy of Romanian commercial banks. In International Economic Conference of Sibiu: Innovative business


This article is dedicated to the problems and processes of the activation of scientific and technological progress in the context of contemporary challenges of the creation of a knowledge-based society and knowledge economy. The main focus here is on activating innovations, scientific and technological progress and creating various preconditions for the development of a knowledge-based society and knowledge economy. The contemporary processes and phenomena of innovations of scientific and technological progress and of its activation are analyzed in a complex manner; the needs for the purposeful activation and acceleration of scientific and technological progress, in particular in response to the aspirations of the knowledge-based society and the creation of a knowledge economy, are investigated in the presented material. The role and importance of innovation activities and the acceleration of scientific and technological advance in the context of the creation of a knowledge-based society and a knowledge economy are revealed and highlighted. New ideas of the search and use of synergetic effects, as well as a new theoretical approach based on the so-called universal principle of the creation of a “new quality,” are described. The results of the presented research can be used for preparing practical recommendations and methodologies that could be applied in the creation and implementation of the managerial and economic instruments and support systems aimed at the purpose of activating the processes of innovations and scientific and technological progress. These recommendations and methodolies could also be utilized in the development of international relations in the context of what is required in the creation of a knowledge-based society and knowledge economy. It is shown that the problems and processes of scientific and technological progress can be appreciated as an extremely important and viable field of scientific research on the creation and development of a knowledge economy.


Agriculture is an important element of rural economy development, currently facing many problems. The unfinished process of economic transformation, division of land use and land ownership, disintegrated social networks, under-developed institutions – these are the problems hindering the knowledge economy enforcement. Among the agricultural enterprises there is a high level of distrust resulting into low cooperation, reluctance against partnerships and networks which represent the main instrument for knowledge economy enforcement. Moreover, the current EU agricultural policy which is adjusted for agricultural conditions in the old member states hampers innovation activities of agricultural enterprises and conserves inefficient structures in them.