An Integrated Approach to Assessing an Organization‘s Knowledge Potential

Abstract

In the context of globalization and transformations, efficient knowledge potential assessment is a powerful tool for increasing the performance of organizations. Knowledge potential is defined as a whole of organization’s resources and market opportunities. Its complex evaluation and efficient management create preconditions for satisfying changing customers’ needs, creating value and uniqueness in the marketplace. Most researchers emphasize that the crucial components of an organization‘s knowledge potential should be integrated and balanced in the assessment of knowledge management, because in the complexity and uncertainty of knowledge management environment it is difficult to forecast and anticipate the results the organization is trying to achieve. As a consequence of this, the factors, approaches, and methods of the assessment of the factors that influence the external and internal knowledge potential are regarded as controversial in the scientific literature and practice. Different approaches that analyze the aspects of knowledge potential assessment interpret and evaluate organization’s knowledge potential differently. In this research these problems are analyzed by examining and integrating contemporary management approaches and theories, different attitudes of researchers towards external and internal factors that influence knowledge potential, and their evaluation aspects. The aim of this study is to present the peculiarities of organization’s knowledge potential assessment in the context of transformations and the conceptual research model of the influence of knowledge potential on the performance of an organization, which creates preconditions for assessing which factors impact the performance of knowledge management and the organization itself. The conceptual research model of the influence of knowledge potential on the organization’s performance was formed by applying the analysis of scientific literature, systematic analysis, methods of synthesis, and by integrating the results of the empirical research conducted by the authors (Raudeliūnienė, 2017; Raudeliūnienė et al., 2018).

DOI: http://dx.doi.org/10.5755/j01.ee.30.1.20807