650 Management
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Formula One races provide a wealth of data worth investigating. Although the time-varying data has a clear structure, it is pretty challenging to analyze it for further properties. Here the focus is on a visual classification for events, drivers, as well as time periods. As a first step, the Formula One data is visually encoded based on a line plot visual metaphor reflecting the dynamic lap times, and finally, a classification of the races based on the visual outcomes gained from these line plots is presented. The visualization tool is web-based and provides several interactively linked views on the data; however, it starts with a calendar-based overview representation. To illustrate the usefulness of the approach, the provided Formula One data from several years is visually explored while the races took place in different locations. The chapter discusses algorithmic, visual, and perceptual limitations that might occur during the visual classification of time-series data such as Formula One races.
This study investigates empirically the development of working capital management and its impact on profitability and shareholder value in Germany. We analyse panel data of 115 firms listed on the German Prime Standard, covering the period from 2011 to 2017. The results provide evidence that efficient working capital management, indicated by a shorter cash conversion cycle, deteriorated over time, but that a shorter cash conversion has a positive impact on profitability and shareholder value. The findings highlight the need that managers should give greater priority to working capital optimization, even in a low-interest environment. The paper contributes to the literature by advancing this research area in Germany, and it is the first study investigating shareholder relationship with working capital management and all its determinants.
Background. We describe and provide an initial evaluation of the Climate Action Simulation, a simulation-based role playing game that enables participants to learn for themselves about the response of the climate-energy system to potential policies and actions. Participants gain an understanding of the scale and urgency of climate action, the impact of different policies and actions, and the dynamics and interactions of different policy choices.
Intervention. The Climate Action Simulation combines an interactive computer model, En-ROADS, with a role play in which participants make decisions about energy and climate policy. They learn about the dynamics of the climate and energy systems as they discover how En-ROADS responds to their own climate-energy decisions.
Methods. We evaluated learning outcomes from the Climate Action Simulation using pre- and post-simulation surveys as well as a focus group.
Results. Analysis of survey results showed that the Climate Action Simulation increases participants’ knowledge about the scale of emissions reductions and policies and actions needed to address climate change. Their personal and emotional engagement with climate change also grew. Focus group participants were overwhelmingly positive about the Climate Action Simulation, saying it left them feeling empowered to make a positive difference in addressing the climate challenge.
In modernen Arbeitswelten werden zunehmend arbeitsplatzbezogene digitale Technologien eingesetzt. Wenngleich dies zahlreiche Chancen bietet, kann es auch negative Folgen für die Gesundheit von Mitarbeitenden haben. Diese Herausforderungen werden durch die aktuelle Corona-Krise für viele Unternehmen noch verschärft. Stress, der direkt oder indirekt durch den Einsatz von Technologien entsteht, wird als «Technostress» bezeichnet. Wichtige Hebel zu dessen Vermeidung umfassen die Gestaltung von Technologien sowie die Berücksichtigung verschiedener individueller und situativer Faktoren im Rahmen technologischer Veränderungsprozesse.
Power line communications (PLC) reuse the existing power-grid infrastructure for the transmission of data signals. As power line the communication technology does not require a dedicated network setup, it can be used to connect a multitude of sensors and Internet of Things (IoT) devices. Those IoT devices could be deployed in homes, streets, or industrial environments for sensing and to control related applications. The key challenge faced by future IoT-oriented narrowband PLC networks is to provide a high quality of service (QoS). In fact, the power line channel has been traditionally considered too hostile. Combined with the fact that spectrum is a scarce resource and interference from other users, this requirement calls for means to increase spectral efficiency radically and to improve link reliability. However, the research activities carried out in the last decade have shown that it is a suitable technology for a large number of applications. Motivated by the relevant impact of PLC on IoT, this paper proposed a cooperative spectrum allocation in IoT-oriented narrowband PLC networks using an iterative water-filling algorithm.
The SDGs give an overview of the world's development challenges of the present and the coming decades and set a new global agenda for more inclusive and sustainable development and growth. These challenges also represent opportunities for social innovations and the creation of scalable and financially self-sustaining solutions by businesses and (social) entrepreneurs. Examples of solutions to social and ecological challenges are for instance providing low-income communities with access to affordable, quality products and services in areas such as water and sanitation, energy, health, education and finance. New business models can meet customer demands by providing solutions and thereby create opportunities for low-income people as employees, suppliers and distributors.
Service Blueprinting
(2020)
Ein Ansatz des Dienstleistungsmanagements, mit dessen Hilfe Gesundheitsleistungen ganz aus Perspektive der behandelten Person und ihrer Customer Journey durch den Leistungsprozess analysiert werden kann, ist das sogenannte Service Blueprinting. Die vorliegende Fallstudie beginnt mit einer kurzen Einführung zur Begründung und zum Vorgehen dieses Ansatzes. Im Anschluss wird der Ansatz anhand der holprigen Customer Journey des imaginären Patienten Torben Schulz im Rahmen einer Bandscheiben-Operation kritisch diskutiert und auf einen Teilaspekt dieser Dienstleistung angewendet.
Monday is unique for its reputation as a “bad” day—one that is characterized by pessimism and reluctance as noted by Rystrom and Benson (Financ Anal J 45(5):75–78, 1989). But the extent to which this applies to stock markets is still in dispute. While early evidence points to a Monday effect leading to negative returns, recent studies tend to suggest its disappearance or reversal.As a replication study, this paper searches for new evidence of this effect in the German stock market.We use data on the German blue-chip index DAX between 2000 and 2017 to test for the presence of a Monday effect by applying regression and controlling with GARCH analysis. The observation period provides a detailed insight into different market phases in one of the most liquid and information efficient international stock markets. Our results contribute no evidence to the persistent existence of a Monday effect on the German stock market. Our analysis is robust against the background of different market sentiments before, during and after the financial crisis.
On the design of an urban data and modeling platform and its application to urban district analyses
(2020)
An integrated urban platform is the essential software infrastructure for smart, sustainable and resilitent city planning, operation and maintenance. Today such platforms are mostly designed to handle and analyze large and heterogeneous urban data sets from very different domains. Modeling and optimization functionalities are usually not part of the software concepts. However, such functionalities are considered crucial by the authors to develop transformation scenarios and to optimized smart city operation. An urban platform needs to handle multiple scales in the time and spatial domain, ranging from long term population and land use change to hourly or sub-hourly matching of renewable energy supply and urban energy demand.