Knowledge creation, acquisition, storing and retrieving, sharing and distribution, transformation and use become the components of knowledge management. Finally, the chapter presents the new attributes of knowledge workers and knowledge processes. Instead, there is a need to develop new metrics able to measure the quality of knowledge and to evaluate the contribution of organizational learning to the firm’s performance. The engine of knowledge economy is the knowledge-based organization, where the pressure of efficiency and productivity should be relaxed. These changes produced a new type of economy where scarcity of tangible resources has been replaced by the affluence of intangible resources, and the economic theories of resource optimization and profit maximization have been aligned to knowledge creation and business sustainability. Instead of starting from defining knowledge management and describing its functions to create a prescriptive framework, the chapter begins with the broad picture of the changes in the structure of economy and in its critical assets. Our scientific analyses, expert appraisals and consulting services help our clients to better understand current processes and developments, in order to be able to act in a well-founded, forward-looking and targeted manner in the innovation system and to be economically successful.The purpose of this chapter is to show that knowledge management emerged as a necessity in the post-industrial society and the new knowledge economy. The repertoire includes primary surveys and secondary data analyses, but also the evaluation of large, structured quantities of data such as publication, patent, trademark and company databases, as well as the analysis of unstructured data using text mining, machine learning or other semantic methods (big data). Quantitative as well as qualitative approaches and methods are used to address the research questions. In addition, the Competence Center analyses the performance of science systems, their economic and societal impact and the transfer of knowledge and technology.
industry 4.0, key technologies, digital applications, new business models or platform economies). In addition, the Competence Center Innovation and Knowledge Economy investigates the contributions of science systems to economic, technological and societal progress.Ĭurrent issues studied include the change of knowledge and value creation networks, change processes at company level, the innovation capability of national economies as a whole, as well as scientific-technological trends with transformative character (e.g. On the basis of current concepts of innovation economics research in connection with classical methods of empirical economic and social research, current questions regarding the economic and social effects of innovation processes are addressed and the underlying influencing factors at the corporate, respectively macroeconomic level, are identified. It explores the various institutions, instruments and strategies in the economy and science that generate new knowledge and innovations. The Competence Center Innovation and Knowledge Economy analyses the prerequisites for innovations and their effects from the company level up to national innovation systems.
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