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Application of the Effective Innovation Leadership Model in a Digital Innovation Project: Case Study
(2020)
Germany has become sedate and partially missed digital opportunities generating value. Since 1995, the term innovation leadership is getting increasing attention. Still, there exists no clear definition. The effective innovation leadership (EIL) model resulted from a Ph.D. thesis and is grounded in the iteration of six data sets. It has been used in industry since 2014. This chapter examines the application of the EIL model in one German middle-class enterprise in 2018/2019. Core challenges in the systemic context, which hinder the effectiveness of innovation leadership in the organizational context, are the support of people across functions and hierarchies as well as inflexible structures and digital access. Especially negative pressure coming from an overvaluation of the shareholder, egos fighting for power, extensive drama triangular, fixed mindsets, and freeloaders hinder the effectiveness of innovation leadership. A comparison of the EIL model with rival theory shows that innovation leadership is close to entrepreneurial approaches and an integral part of innovation management.
This experimental study analyzes how a key factor, information load, influences decision making in escalation situations, i.e., in situations in which decision mak- ers reinvest further resources in a losing course of action, even when accounting information indicates that the project is performing poorly and should be discontin- ued. This study synthesizes prior escalation research with information overload and investigates how different levels of information load influence the escalation of com- mitment. Our findings reveal a U-shaped effect of information load: When decision makers face negative feedback, a higher information load mitigates the escalation tendency up to a certain point. However, beyond this point, more information rein- forces the escalation tendency. Moreover, we find that the type of feedback affects self-justification, and we find a negative and significant interaction between informa- tion load and self-justification in negative-feedback cases. Thus, studies investigat- ing escalation of commitment should control for self-justification and information load when utilizing high levels of information load. Finally, in the positive-feedback condition, higher information load encourages decision makers to continue promis- ing courses of action, i.e., increases decision-making performance.
The European Union-funded Advanced Superconducting Motor Experimental Demonstrator (ASuMED) project started in May 2017 with the purpose of demonstrating the benefits of a new, fully superconducting motor for reaching the targets established by the Flightpath 2050 plan. The project aims at a motor power density of 20 kW kg−1 using
a high-temperature superconducting (HTS) stator. The rotor will use HTS stacks operating like permanent magnets. A highly efficient cryostat for the motor combined with an integrated cryogenic cooling system and associated power converter will be used. This article provides a general overview of the prototype that is currently being assembled and that will be tested soon.
High Dynamic Power Balancing for Dual Two-Level Inverters during High-Speed Machine Operation
(2020)
This paper aims to present optimized square-wave modulation strategies for the dual two-level inverter, fed by two separate and galvanically isolated energy sources, to balance and control the energy distribution of both inverter systems. Especially for high-speed operation, the methods keep the machine in the required state while decreasing the switching operations to a minimum. Method one aims to compensate voltage fluctuations of variable DC-link voltages, while the second method ensures a symmetrical power distribution for the two inverter systems. In addition, both methods offer the possibility of adapting the amplitude of the usually fixed fundamental load voltage during square-wave modulation.
In this article, we present an approach to detect basic movements of cyclists in real world traffic situations based on image sequences, optical flow (OF) sequences, and past positions using a multi-stream 3D convolutional neural network (3D-ConvNet) architecture. To resolve occlusions of cyclists by other traffic participants or road structures, we use a wide angle stereo camera system mounted at a heavily frequented public intersection. We created a large dataset consisting of 1,639 video sequences containing cyclists, recorded in real world traffic, resulting in over 1.1 million samples. Through modeling the cyclists' behavior by a state machine of basic cyclist movements, our approach takes every situation into account and is not limited to certain scenarios. We compare our method to an approach solely based on position sequences. Both methods are evaluated taking into account frame wise and scene wise classification results of basic movements, and detection times of basic movement transitions, where our approach outperforms the position based approach by producing more reliable detections with shorter detection times. Our code and parts of our dataset are made publicly available.
Continuous glucose monitoring (CGM) improves treatment with lower blood glucose levels
and less patient effort. In combination with continuous insulin application, glycemic control
improves and hypoglycemic episodes should decrease. Direct feedback of CGM to continuous
subcutaneous insulin application, using an algorithm is called a closed-loop (CL)
artificial pancreas system. Commercial devices stop insulin application by predicting hypoglycemic
blood glucose levels through direct interaction between the sensor and pump. The
prediction is usually made for about 30 minutes and insulin delivery is restarted at the previous
level if a rise in blood glucose is predicted within the next 30 minutes (hybrid closed loop
system, HCL this is known as a predictive low glucose suspend system (PLGS)). In a fully
CL system, sensor and pump communicate permanently with each other. Hybrid closedloop
(HCL) systems, which require the user to estimate the meal size and provide a meal
insulin basis, are commercially available in Germany at the moment. These systems result
in fewer hyperglycemic and hypoglycemic episodes with improved glucose control. Open
source initiatives have provided support by building do-it-yourself CL (DIYCL) devices for
automated insulin application since 2014, and are used by a tech-savvy subgroup of
patients. The first commercial hybrid CL system has been available in Germany since September
2019. We surveyed 1054 patients to determine which devices are currently used,
which features would be in demand by potential users, and the benefits of DIYCL systems.
9.7% of these used a DIYCL system, while 50% would most likely trust these systems but
more than 85% of the patients would use a commercial closed loop system, if available. The
DIYCL users had a better glucose control regarding their time in range (TIR) and glycated
hemoglobin (HbA1c).
PropTech Germany 2020 Studie
(2020)
Das Stichwort „PropTech” kursiert bereits
seit einigen Jahren auf dem Immobilienmarkt
und bildet den Überbegriff für
Start-ups, die mit digitalen Technologien
und innovativen Geschäftsmodellen die
Digitalisierung in der Bau- und Immobilienbranche
vorantreiben. Seit geraumer
Zeit ist ein kontinuierlicher Anstieg
der Anzahl von PropTech-Unternehmen
im deutschen Markt zu verzeichnen.
Entsprechend werden auch immer
mehr technologische Einzellösungen
angeboten, die oftmals allerdings nur
einen Abschnitt eines Prozesses innerhalb
des Immobilienlebenszyklus digitalisieren.
Die daraus resultierende
Kleinteiligkeit von PropTech-Unternehmen
stößt in der immobilienwirtschaftlichen
Fachöffentlichkeit auf Kritik, führt
sie doch zu einer zunehmenden Intransparenz
und Komplexitätssteigerungen
innerhalb des Marktes. Die Mehrzahl der
bisher veröffentlichten Studien richtet ihr
Hauptaugenmerk dabei vor allem auf
die Perspektiven und Einschätzungen
der etablierten Immobilienwirtschaft
hinsichtlich PropTech-Unternehmen
und Digitalisierung. Demgegenüber
werden die Ansichten und Auffassungen
der PropTech-Unternehmen oftmals
nicht hinreichend berücksichtigt. Es
wurde noch nicht umfassend herausgearbeitet,
wie PropTechs aktiv versuchen,
im deutschen Immobilienmarkt die Digitalisierung
weiter voranzutreiben und
welchen Hürden sie hierbei begegnen.
Diese Lücke beabsichtigt die vorliegende Studie zu füllen. Überdies bildet die
Untersuchung eine Ausgangsbasis für
anschließende Folgestudien, welche die
Ergebnisse quantitativ verifizieren, um
schlussendlich einen Abgleich mit der
Perspektive der etablierten Immobilienunternehmen
vorzunehmen.
Diese Studie untersucht die Erfahrungen,
Herausforderungen und Hürden von
PropTech-Unternehmen beim Markteintritt
in die deutsche Immobilienbranche.
Basierend auf einem strukturierten
Fragebogen wurden neun ausgewählte
PropTech-Unternehmen aus unterschiedlichen
Entwicklungsphasen zu
folgenden Themenbereichen befragt:
Stimmungsindikatoren:
Markt- und Geschäftsentwicklung:
Wie entwickelt sich die Auftragslage?
• Von der Idee bis zum Business
Model:
Worauf kommt es an?
• Hürden beim Markteintritt in die
deutsche Immobilienwirtschaft:
Welches sind die wesentlichen Hürden
bei der Entwicklung des Geschäftsmodells,
der Kundenakquise
und der Etablierung des Produktes
am Markt?
• Kooperationen im PropTech-Markt:
Wo liegt die Zukunft?