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In today’s business practice, but also in academic research the aspect of trust has gained remarkable importance. The usage of resources is still often pictured on a short perspective. Especially the usage of human resources must be sustainable, based on long term balance of interests and supported by procedures and systems that anchor the anabolic balance of interest between company and employee (Moldaschl,2008). Within the management of competencies, culture and values, the "social capital" in terms of an "asset of mutual trust" plays and important role. If the "homo reciprocans" feels to be treated fair his own willingness to cooperate increases (Falk, 2002). Furthermore "Trust in human relations is a binding framework under insecurity and allows decisions and actions that would not be possible based on pure rational information and consideration" (Strasser/ Voswinkel, 1997).
The question behind the research paper at hand is: "Is a culture of trust leading to higher employee competence utilization?" This is of relevance as "it is human capability and commitment that distinguishes successful organizations from the rest" (Storay, J. 2007), which is explicitly valid in times of skilled worker shortage. The purpose of this paper is to introduce a research approach to test the correlation between Trust and Employee Competence Utilization (ECU) ‐ embedded in a Business Excellence (BE) setting. Based on a short insight in the theoretical foundation of the basic model behind the empirical study and the subsequent operationalization of the variables the basic empirical methodology is described. With this the paper shows the process of focussing and bounding from the general theoretical relation of Trust and ECU to a specific research question and it’s correlating stepwise empirical approach.
The paper at hand gives detailed insights in the logic of planning of the empirical test methods as well as the development of the derived interview lines and questionnaires. The findings of this paper broaden the research focus towards the complexity of the two variables, trust and ECU, but simultaneously introduce and suggest an empirical approach to lighten the possibilities of measuring both variables. First empirical results underline the concrete tangible approach towards a focussed structural equation model. As a next step the empirical results will be analyzed in detail and finally pictured in a validated Structural Equation Model.
With the increasing mechanization of buildings, it is necessary to be able to predict both the structure-borne sound power input from building machinery and the subsequent propagation of structure-borne sound in the building. This paper considers lightweight constructions and describes the results of an experimental study in the laboratory on a T-junction that was constructed from a timber joist floor and two double leaf timber-frame walls. The focus in this paper is on the vibrational behaviour of one of the timber-frame walls. To assess the vibration pattern and the propagation of structure-borne sound, the surface velocity levels were measured on a grid on both leaves of the wall with point force excitation on one side. This grid allowed calculation of structural intensity vectors. The influence of elements such as the timber studs and tongue and grooved joints between the boards were apparent in different frequency regions. Experimental modal analysis was carried out using measurements on both leaves of the wall, giving information about the coupling in different frequency regions. The results give insight into how such a timber-frame wall could be modelled using statistical energy analysis.
Verglichen mit Gebäuden in Mauerwerks- und Betonbauweise ist jedoch die Planung eines Bauobjektes in Holzbauweise für den Architekten und die Fachplaner eine deutlich größere Herausforderung.
Geeignete computergestützte Planungswerkzeuge, die eine Simulation der genannten bauphysikalischen und konstruktiven Eigenschaften bereits im frühen Planungsentwurf für das gesamte Bauwerk und nicht nur für einzelne Komponenten ermög-lichen, könnten den Planungsaufwand drastisch reduzieren.
Zur Prognose der Luft- und Trittschalldämmung nach EN 12354 wurde deshalb in einem aktuellen Gemeinschafts-Forschungsvorhabens zwischen der TU München, der Hochschule Rosenheim und dem ift Rosenheim eine SEA basierte Excel Anwendung erstellt, die die Besonderheiten des Holzmassivbaus berücksichtigt.
Die geometrischen Daten des Bauvorhabens sowie die Bauteilbezeichnungen können für die Prognose aus einem Bauwerkinformationsmodell (BIM) eingelesen werden.
Die Bauteilkennwerte und Stoßstellendämm-Maße werden aus einer separaten Bauteildatenbank ausgelesen, die innerhalb des Projekts durch Messungen aus verschiedenen Laboren gefüllt wird. Im Beitrag werden die Anwendung und der aktuelle Stand der Datenbank vorgestellt, sowie Vergleiche zwischen Messergebnissen am realen Objekt und der Prognoserechnung gezeigt.
SEA based prediction for integrated vibroacoustical design optimization of multi-storey buildings
(2015)
SEA based prediction for integrated vibroacoustical design optimization of multi-storey buildings
(2015)
In order to enable the design of a multi-storey timbe
r building with respect to the requirements or
recommendations for an enhanced acoustic comfort, a c
ollaboration of various experts is required
during the design process creating their own indivi
dual building models.
A simplification of the
design process and the procedure of verification co
uld be achieved if all of the experts involved
work on one single CAD based Building Information Mo
del (BIM). The required design tools
(FEM and SEA for the acoustic computation) can be di
rectly coupled to the BIM.
For this
purpose, it is necessary to allocate much more valid
ated input data for timber building elements.
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