5 research outputs found
Deposition of metals in glacial lake sediment
The aim of this research was to find the relationship between metals content and age of the sediment and to estimate the contamination level. For the research of sediment, samples were taken from the glacial Lake Prokosko. Concentrations of eight elements (Ca, Mg, Fe, Cd, Pb, Zn, Cu and Mn) were determined. The age was determined with usage of C14. For statistical evaluation of the results, we used basic statistical tools, correlation, and PCA. The results showed that all of investigated metals have natural origin. Sediment core from this research was around 18,000 years old and the results revealed characteristics of metals deposition in the process of sedimentation. Concentrations of metals were compared with age (depth) of sediment. Maximal concentrations for iron, calcium, magnesium and manganese are found in the period of AllerÓ§d oscilation. Differences in Mn/Fe ratio and organic matter content are showing changes through history. These results show metal deposition characteristics in different climate periods, and these characteristics could be used as another proof of climate change
A dynamic model of knowledge management in innovative technology companies: a case from the energy sector
This paper presents fresh insights into how medium to large innovative technology companies in the energy business evolve their knowledge management (KM) capability. To date existing models of KM have been static, while this work provides a more dynamic approach. The primary data is analysed using a combination of an operational research (OR) approach (causal mapping) with a well-established generic qualitative research method (the Gioia method). This paper contributes to KM literature by developing a dynamic model of KM, which shows how KM capability evolves over time within an organisation. In this model, KM evolves from managing explicit knowledge through knowledge sharing to creating new knowledge. Such understanding of KM as a process can help managers in decision making with respect to both KM and innovation activities