A kutatási és fejlesztési tevékenység lehetőségei és korlátai a kkv szektorban A vezető szerepe az innovációban és az innováció értelmezése a kkv szektorban = Opportunities and constrains in the r&d activities of the SMEs: The role of the entrepreneur in the innovation processes and how it is manifasted in their everyday activities

Jelen tanulmány arra keresi a választ, hogy a vállalkozónak milyen szerepe van az innovációban, és az innovációnak milyen különböző értelmezési lehetőségei fedezhetőek fel kis- és középvállalkozási szektorban. Kiindulási pontja a vállalkozó vezető személye és innovatív magatartása, mellyel folyamatosan keresi a fejlődés új lehetőségeit. A vállalkozó az erőforrások kreatív felhasználása és vállalkozói magatartása révén a vállalkozás motorjának tekinthető. A tanulmány alapját kvalitatív mélyinterjúkon alapuló, 14 interjúból álló kutatás képezi, melyek mélyreható elemzése alátámasztotta, hogy az innovációs hajlandóság erősen összefügg a vállalkozói magatartással, és mindkét tényező szorosan köthető a vállalkozás vezetőjéhez. / === / This paper focuses on the entrepreneur’s role in the innovation process and on the way the entrepreneurs interpret the phenomena of innovation and they perceive their role in this process. The paper begins with the presentation of different entrepreneurial models, focusing especially on entrepreneurial management and its linkages to variable forms of innovation. Based on the deep examination of 14 interviews made with Hungarian entrepreneurs, the paper identifies the entrepreneur’s decisive role in the innovation process, furthermore the article confirms the importance of entrepreneurial and risk-taking behavior in innovative organizations.

Medium change monitoring using ambient seismic noise and coda wave interferometry: examples from intraplate NE Brazil and the Mid-Atlantic Ridge

This thesis presents and discusses the results of ambient seismic noise correlation for two different environments: intraplate and Mid-Atlantic Ridge. The coda wave interferometry method has also been tested for the intraplate data. Ambient noise correlation is a method that allows to retrieve the structural response between two receivers from ambient noise records, as if one of the station was a virtual source. It has been largely used in seismology to image the subsurface and to monitor structural changes associated mostly with volcanic eruptions and large earthquakes. In the intraplate study, we were able to detect localized structural changes related to a small earthquake swarm, which main event is mR 3.7, North-East of Brazil. We also showed that the 1-bit normalization and spectral whitening result on the loss of waveform details and that the phase auto-correlation, which is amplitude unbiased, seems to be more sensitive and robust for our analysis of a small earthquake swarm. The analysis of 6 months of data using cross-correlations detect clear medium changes soon after the main event while the auto-correlations detect changes essentially after 1 month. It could be explained by fluid pressure redistribution which can be initiated by hydromechanical changes and opened path ways to shallower depth levels due to later occurring earthquakes. In the Mid-Atlantic Ridge study, we investigate structural changes associated with a mb 4.9 earthquake in the region of the Saint Paul transform fault. The data have been recorded by a single broadband seismic station located at less than 200 km from the Mid-Atlantic ridge. The results of the phase auto-correlation for a 5-month period, show a strong co-seismic medium change followed by a relatively fast post-seismic recovery. This medium change is likely related to the damages caused by the earthquake’s ground shaking. The healing process (filling of the new cracks) that lasted 60 days can be decomposed in two phases, a fast recovery (70% in ~30 days) in the early post-seismic stage and a relatively slow recovery later (30% in ~30 days). In the coda wave interferometry study, we monitor temporal changes of the subsurface caused by the small intraplate earthquake swarm mentioned previously. The method was first validated with synthetics data. We were able to detect a change of 2.5% in the source position and a 15% decrease of the scatterers’ amount. Then, from the real data, we observed a rapid decorrelation of the seismic coda after the mR 3.7 seismic event. This indicates a rapid change of the subsurface in the fault’s region induced by the earthquake.