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Leverage Data Streams for Better Operational Decision-Making
Smart sustainable mobility ecosystems promise to address society’s expectation of environmentally friendly on-demand mobility. While the technology stack to build such ecosystems is just around the corner in the form of connected, automated, and electric vehicles, strategies to deploy and operate such fleets in a coordinated manner must still be advanced. Most of such optimization challenges highly depend on the nature of customer demand, vehicle supply, and environmental influences. Hence, this dissertation investigates how available data streams from mobility ecosystems can be leveraged in Information Systems to solve related decision problems. The overarching goal of this work is to gen...
Ecoystems in the Era of Digital Innovation: Exploring the Transformational Impact of Pervasive Digital Technologies on Industrial-Age Business Contexts and Incumbent Firms
The Internet’s emergence has significantly changed how people, communities, and societies behave, interact, and live. Today, people are accustomed to fulfilling their needs by taking advantage of giant online places for, e.g., the exchange of goods, video streaming, or social interaction. A driving force within this powerful development is represented by the growing diffusion of digital technologies. Enabled by technological advances, nearly every artifact is or can be equipped with digital technologies. With the increasing digitization and hybridization of physical objects established innovation and value commercialization logics are brought into question. Recapitulating today’s promine...
Analyzing the Range Barrier to Electric Vehicle Adoption
Although electric vehicles (EVs) are theoretically capable of emissions-free driving, their market penetration is still pending, which is reflected in their low sales numbers. This is mainly due to three major barriers to the widespread adoption of these vehicles, with one of them being their limited average driving distance. Although the limited range of these cars would theoretically be sufficient to match the usage patterns of most drivers, they are generally unwilling to accept it. In this regard, users often report serious concerns about not reaching their planned destinations due to battery depletion, which is commonly referred to as range anxiety. Within this cumulative dissertation, ...
Business Model Innovation in the Era of the Internet of Things
This book outlines an integrative framework for business-model innovation in the paradigm of the Internet of Things. It elaborates several tools and methodologies for the quantitative, qualitative, analytical and effectual evaluation, and analyzes their applicability and efficiency for several phases of the business-model innovation process. As such, it provides guidance to managers, decision-makers and entrepreneurs on how to systematically employ the business-model concept with the aim of achieving sustainable competitive advantages. For researchers the book introduces cases and examples for successful business-model innovation and presents an integrated approach to the methods and tools applied.
Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning
In this work, an extension of the federated averaging algorithm, FedAvg-Gaussian, is applied to train probabilistic neural networks. The performance advantage of probabilistic prediction models is demonstrated and it is shown that federated learning can improve driving range prediction. Using probabilistic predictions, routing and charge planning based on destination attainability can be applied. Furthermore, it is shown that probabilistic predictions lead to reduced travel time.
IT-gestützte Früherkennung digitaler unternehmensbezogener Empörungswellen in sozialen Medien (Band 112)
Die Dissertation befasst sich mit der Fragestellung, wie Daten aus sozialen Medien erhoben, vorverarbeitet und vorbereitet werden müssen, um diese zum Trainieren von maschinellen Lernmodellen zu nutzen und somit Empörungswellen frühzeitig zu erkennen. Empörungswellen (ugs. Shitstorms) stellen Situationen dar, die im Unternehmenskontext Krisen auslösen können, bei denen spontan, aber zeitlich begrenzt eine überdurchschnittlich hohe Anzahl negativer, medialer Beiträge gegenüber einem Betroffenen verfasst werden. Für das Vorhaben werden Twitterdaten vergangener Empörungswellen erhoben und hieraus Empörungswellenmerkmale für das Training maschineller Lernmodelle abgeleitet. Die Mode...
Didaktische Gestaltungsansätze zur Aufbereitung von Micro Learning in Unternehmen (Band 117)
Kurze und kleine sogenannte Micro Learning Einheiten bieten für Unternehmen das Potenzial, Arbeit und Lernen stärker miteinander zu verzahnen. Micro Learning Einheiten lassen sich aufgrund ihrer Kürze und Prägnanz leichter in den Arbeitsalltag der Mitarbeitenden integrieren und durch die Nutzung von mobilen Endgeräten direkt am Arbeitsplatz situativ und bedarfsorientiert bereitstellen. Damit das Lernformat erfolgreich im Kontext des betrieblichen Lernens eingesetzt werden kann, sind insbesondere didaktische Gesichtspunkte zu berücksichtigen, da diese maßgeblich den Lernerfolg determinieren. Die didaktische Aufbereitung der Lerninhalte sehen Unternehmensexpertinnen und -experten allerd...
Empirische Erkenntnisse und Gestaltungsansätze für Entscheidungsunterstützungssysteme in der Ablaufplanung im Kontext von Cyber-Physischen Systemen
Das Konzept Industrie 4.0 eröffnet vielfältige Möglichkeiten für produzierende Unternehmen durch die Vernetzung der Produktionsressourcen. Die technologische Grundlage dafür bilden Cyber-Physische Systeme, durch die bspw. Echtzeitdaten vom Shop Floor erfasst werden können. Ein Geschäftsprozess, der durch diese verbesserte Informationsverfügbarkeit profitieren kann, ist die Ablaufplanung, die für die zeitliche Zuordnung von Aufgaben zu Fertigungsressourcen zuständig ist, um eine Abarbeitungsreihenfolge für freigegebene Aufträge zu bilden, diese zu überwachen und bei Abweichungen Gegenmaßnahmen ergriffen. Die reine Verfügbarkeit einer Masse an Echtzeitdaten in der Ablaufplanung ...
Technology Acceptance in the Context of Digital Transformation
The widespread diffusion of digital, connected objects such as smartphones or tablets as well as the increasing integration of computing and connectivity capabilities into everyday artifacts like TVs and cars have significantly changed individual behavior in recent decades: it has become the norm to interact with technology and to be connected with online resources regardless of time and place. Social interactions have increasingly become intertwined with technology, making it almost impossible to fully participate in everyday life activities without IT. As a final example, with the integration of network connectivity, digital technologies, products, and services are not used in isolation an...
The Dark and the Bright Side of Digitalization – The Case of Sustainable Mobility
The first part of this cumulative dissertation is divided into two chapters. The first chapter describes the motivation for studying the topic of this thesis, outlines the research gaps and research questions, illustrates the structure, presents the research design, and describes the anticipated contributions. The second chapter provides the relevant theoretical background.
