TY - JOUR A1 - Vieth, Matthias A1 - Eisenbeiß, Maik T1 - Die Geld-zurück-Garantie - Mehr als nur ein Qualitätsindikator? JF - Zeitschrift für Betriebswirtschaft N2 - Geld-zurück-Garantien erlangen in der Unternehmenspraxis eine immer größere Bedeutung, vor allem weil sie als probates Mittel zur Signalisierung hochwertiger Qualität angesehen werden – eine Annahme, die bislang wissenschaftlich ungeprüft geblieben ist. Vor diesem Hintergrund wird im vorliegenden Beitrag eine umfassende empirische Untersuchung der kaufverhaltensrelevanten Wirkungen dieses Marketinginstrumentes vorgenommen. Die Ergebnisse verdeutlichen zum einen, dass eine Geld-zurück-Garantie nur unter bestimmten Bedingungen als Qualitätssignal wirkt. Dies hängt neben der Art des Produktes (Erfahrungs- vs. Suchgut) insbesondere von der Ausprägung des für die Qualitätsbeurteilung besonders diagnostischen Merkmals Marke sowie von der Produktkenntnis der Konsumenten ab. Zum anderen zeigt sich aber auch, dass eine Geld-zurück-Garantie affektive Konsumentenreaktionen auslöst, die die Kaufabsicht von Konsumenten zusätzlich erhöhen können. Zusammenfassend stellen wir fest, dass eine Geld-zurück-Garantie – entgegen bisheriger Erwartungen aus der Praxis – nicht zwingend ein Qualitätsindikator ist, stattdessen entfaltet sie aber bisher unbeachtete affektive Wirkungen, die insbesondere auf ihre absichernde Funktion von etwaigen Fehlentscheidungen beim Kauf zurückzuführen sind. Y1 - 2011 U6 - https://doi.org/10.1007/s11573-011-0521-4 VL - 81 IS - 12 SP - 1285 EP - 1323 PB - Springer CY - Berlin ER - TY - JOUR A1 - Vieth, Matthias A1 - Eschweiler, M. T1 - Preisdeterminanten bei Spielertransfers in der Fussball-Bundesliga - eine empirische Analyse JF - Die Betriebswirtschaft Y1 - 2004 SN - 0342-7064 VL - 64 IS - 6 SP - 671 EP - 692 ER - TY - JOUR A1 - Viti, Nicolo A1 - Valero, Daniel A1 - Gualtieri, Carlo T1 - Numerical Simulation of Hydraulic Jumps. Part 2: Recent Results and Future Outlook JF - Water Y1 - 2019 U6 - https://doi.org/10.3390/w11010028 SN - 2073-4441 VL - 11 IS - 1 SP - Art. Nr. 28 ER - TY - JOUR A1 - Vitusevich, S. A. A1 - Förster, Arnold A1 - Indlekofer, K.-M. A1 - Lüth, H. A1 - Belyaev, A. E. A1 - Glavin, B. A. A1 - Konakova, R. V. T1 - Tunneling Through X-Valley-Related Impurity States in GaAs/AlAs Resonant-Tunneling Diodes JF - Physical Review . B. 61 (2000), H. 16 Y1 - 2000 SN - 1550-235X SP - 10898 EP - 10904 ER - TY - JOUR A1 - Vitusevich, S. A. A1 - Förster, Arnold A1 - Lüth, H. A1 - Belyaev, A. E. A1 - Danylyuk, S. V. A1 - Konakova, R. V. A1 - Sheka, D. I. T1 - Resonant spectroscopy of electric-field-induced superlattices JF - Journal of Applied Physics. 90 (2001), H. 6 Y1 - 2001 SN - 1089-7550 U6 - https://doi.org/10.1063/1.1392956 SP - 2857 EP - 2861 ER - TY - JOUR A1 - Vitusevich, S. A. A1 - Förster, Arnold A1 - Reetz, W. A1 - Lüth, H. A1 - Belyaev, A. E. A1 - Danylyuk, S. V. T1 - Spectral Responsivity of single-quantum-well photodetectors JF - Applied Physics Letters. 77 (2000), H. 1 Y1 - 2000 SN - 1077-3118 SP - 16 EP - 18 ER - TY - JOUR A1 - Vitusevich, S. A. A1 - Förster, Arnold A1 - Reetz, W. A1 - Lüth, H. A1 - Belyaev, A. E. A1 - Danylyuk, S. V. T1 - Fine structure of photoresponse spectra in a double-barrier resonant tunnelling diode JF - Nanotechnology. 11 (2000), H. 4 Y1 - 2000 SN - 1361-6528 SP - 305 EP - 308 ER - TY - JOUR A1 - Vlasov, Y. G. A1 - Mourzina, Y. G. A1 - Legin, A. V. A1 - Ermelenko, Y. E. A1 - Schubert, J. A1 - Schöning, Michael Josef A1 - Lüth, H. T1 - Solid-state thin film sensors based on chalcogenide materials prepared by planar technology and pulsed laser deposition JF - Russian Journal of Applied Chemistry. 75 (2002), H. 3 Y1 - 2002 SN - 1070-4272 SP - 351 EP - 356 ER - TY - JOUR A1 - Vogt, C. A1 - Mottaghy, Darius A1 - Rath, V. A1 - Marquart, G. A1 - Dijkshoorn, L. A1 - Wolf, A. A1 - Clauser, C. T1 - Vertical variation in heat flow on the Kola Peninsula: palaeoclimate or fluid flow? JF - Geophysical Journal International N2 - Following earlier studies, we present forward and inverse simulations of heat and fluid transport of the upper crust using a local 3-D model of the Kola area. We provide best estimates for palaeotemperatures and permeabilities, their errors and their dependencies. Our results allow discriminating between the two mentioned processes to a certain extent, partly resolving the non-uniqueness of the problem. We find clear indications for a significant contribution of advective heat transport, which, in turn, imply only slightly lower ground surface temperatures during the last glacial maximum relative to the present value. These findings are consistent with the general background knowledge of (i) the fracture zones and the corresponding fluid movements in the bedrock and (ii) the glacial history of the Kola area. Y1 - 2014 U6 - https://doi.org/10.1093/gji/ggu282 SN - 1365-246X VL - 199 IS - 2 SP - 829 EP - 843 PB - Oxford University Press CY - Oxford ER - TY - JOUR A1 - Vogt, C. A1 - Mottaghy, Darius A1 - Wolf, A. A1 - Rath, V. A1 - Pechnig, R. A1 - Clauser, C. T1 - Reducing temperature uncertainties by stochastic geothermal reservoir modelling JF - Geophysical Journal International N2 - Quantifying and minimizing uncertainty is vital for simulating technically and economically successful geothermal reservoirs. To this end, we apply a stochastic modelling sequence, a Monte Carlo study, based on (i) creating an ensemble of possible realizations of a reservoir model, (ii) forward simulation of fluid flow and heat transport, and (iii) constraining post-processing using observed state variables. To generate the ensemble, we use the stochastic algorithm of Sequential Gaussian Simulation and test its potential fitting rock properties, such as thermal conductivity and permeability, of a synthetic reference model and—performing a corresponding forward simulation—state variables such as temperature. The ensemble yields probability distributions of rock properties and state variables at any location inside the reservoir. In addition, we perform a constraining post-processing in order to minimize the uncertainty of the obtained distributions by conditioning the ensemble to observed state variables, in this case temperature. This constraining post-processing works particularly well on systems dominated by fluid flow. The stochastic modelling sequence is applied to a large, steady-state 3-D heat flow model of a reservoir in The Hague, Netherlands. The spatial thermal conductivity distribution is simulated stochastically based on available logging data. Errors of bottom-hole temperatures provide thresholds for the constraining technique performed afterwards. This reduce the temperature uncertainty for the proposed target location significantly from 25 to 12 K (full distribution width) in a depth of 2300 m. Assuming a Gaussian shape of the temperature distribution, the standard deviation is 1.8 K. To allow a more comprehensive approach to quantify uncertainty, we also implement the stochastic simulation of boundary conditions and demonstrate this for the basal specific heat flow in the reservoir of The Hague. As expected, this results in a larger distribution width and hence, a larger, but more realistic uncertainty estimate. However, applying the constraining post-processing the uncertainty is again reduced to the level of the post-processing without stochastic boundary simulation. Thus, constraining post-processing is a suitable tool for reducing uncertainty estimates by observed state variables. Y1 - 2010 U6 - https://doi.org/10.1111/j.1365-246X.2009.04498.x SN - 1365-246X VL - 181 IS - 1 SP - 321 EP - 333 PB - Oxford University Press CY - Oxford ER -