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In Bewegung kommen
(2023)
Armut im Blick?
(2023)
A step change is needed in the deployment of renewable energy if the triple challenge of ensuring climate change mitigation, energy security, and energy affordability is to be met. Yet, social acceptance of infrastructure projects and policies remains a key concern. While there has been decades of fruitful research on the social acceptance of wind energy and other renewables, much of the extant research is cross-sectional in nature, failing to capture the important dynamic processes that can make or break renewable energy projects. This paper introduces a Special Issue of Energy Policy which focuses on the neglected topic of the dynamics of social acceptance of renewable energy, drawing on contributions made at an international research conference held in St. Gallen (Switzerland) in June 2022. In addition to introducing these papers and drawing out common themes, we also seek to offer some conceptual clarity on the issue of dynamics in social acceptance, taking into account the influence of time, power, and scale in shaping decision-making processes. We conclude by highlighting a number of avenues of potential future research.
Parametric anti-resonance is a phenomenon that occurs in systems with at least two degrees of freedom; this can be achieved by periodically exciting some parameters of the system. The effect of this properly tuned periodicity is to increase the dissipation in the system, which leads to a raising in the effective damping of vibrations. This contribution presents the design of an open-loop control to reduce the settling time using the anti-resonance concept. The control signal consists of a quasi-periodic signal capable of transferring the system’s oscillations from one mode to another mode of the system. The general averaging technique is used to characterize the dynamics, particularly the so-called slow dynamics of motion. With this analysis, the control signal is designed for the potential application of a microelectromechanical sensor arrangement; for this specific example, up to 96.8% reduction of settling time is achieved.
In this work, parametric excitation is introduced in a fully balanced flexible rotor mounted on two identical active gas foil bearings. The active gas foil bearings change the top foil shape harmonically with a specific amplitude and frequency. The deformable foil shape is approximated by an analytical function, while the gas pressure distribution is evaluated by the numerical solution of the Reynolds equation for compressible flow. The harmonic variation of the foil shape generates a respective variation in the bearings’ stiffness and damping properties and the system experiences parametric resonances and antiresonances in specific excitation frequencies. The nonlinear gas bearing forces generate bifurcations in the solutions of the system at certain rotating speeds and excitation frequencies; period doubling and Neimark-Sacker bifurcations are noticed in the examined system, and their progress is evaluated as the two bifurcation parameters (rotating speed and parametric excitation frequency) are changed, though a codimension-2 numerical continuation of limit cycles. It is found that at specific range of excitation frequency there are parametric anti-resonances and the bifurcations collide and vanish. Therefore, a bifurcation-free operating range is established and the system can operate stable at a wide speed range.
Il presente capitolo è incentrato su uno dei nuovi paradigmi di produzione e consumo, l’economia circolare – i.e., “un’economia in cui gli scarti e l’inquinamento sono minimizzati grazie al design consapevole di prodotti, processi e servizi, il valore delle risorse è mantenuto il più a lungo possibile e i sistemi naturali vengono rigenerati” (Gusmerotti et al., 2020, p. 9). L’elaborato si focalizza in particolare su uno dei modelli di business considerati “circolari” (CBM) (Linder e Williander, 2017), il product-as-a-service (PaaS da qui in poi) (Lacy et al., 2016). Alla base di questo modello di business vi è l’idea che i clienti non acquisiscono la proprietà dei beni, bensì li utilizzano al pari dei servizi, a fronte di un pagamento, come riporta la letteratura concernente i product-service systems (PSS) (Lacy et al., 2016; Mont, 2002; Tukker e Tischner, 2006; Tukker, 2015). Questo approccio al consumo rientra nel più complesso fenomeno della servitizzazione, la quale comporta “l’innovazione nelle capacità e nei processi di un’impresa, in modo che essa possa meglio creare valore – per il cliente e l’impresa stessa – passando dalla vendita di prodotti alla vendita di sistemi di prodotto-servizio” (Neely, 2009, p. 10).
Digitalization is changing business models and operational processes. At the same time, improved data availability and powerful analytical methods are influencing controlling and increasingly require the use of statistical and information technology skills and knowledge. Using a case study from marketing controlling, the article shows the use of business analytics methods and addresses the tasks of controlling in the digital age.
Statistische Methodenkompetenz wird im Controlling zunehmend bedeutender, so ist die evidenzbasierte Prognose durch algorithmische Analyse von Datenbeständen ein Schwerpunkt von Controlling Analytics. Die Fallstudie durchleuchtet daher anhand von Datenmaterial des Schweizer Bundesamts für Statistik das Vorgehen bei einer Datenanalyse, insbesondere beim Einsatz der Zeitregression für Prognosezwecke, und geht dabei auf methodische Besonderheiten, Caveats und Einsatzmöglichkeiten in Microsoft Excel ein. Die Fallbeschreibung und Aufgaben sind im WiSt-Heft Nr. 4/23 zu finden.
Controlling Analytics: Einsatz für Prognosen im Controlling - Teil 1: Fallbeschreibung und Aufgaben
(2023)
Statistische Methodenkompetenz wird im Controlling zunehmend bedeutender, so ist die evidenzbasierte Prognose durch algorithmische Analyse von Datenbeständen ein Schwerpunkt von Controlling Analytics. Die Fallstudie durchleuchtet daher anhand von Datenmaterial des Schweizer Bundesamts für Statistik das Vorgehen bei einer Datenanalyse, insbesondere beim Einsatz der Zeitregression für Prognosezwecke, und geht dabei auf methodische Besonderheiten, Caveats und Einsatzmöglichkeiten in Microsoft Excel ein.