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Bericht 2018/2019
(2020)
2020 industry insights
(2020)
Customer-centricity, digital development and sustainability are three core aspects of cross-industry culture that will continue to be crucial as companies contend with current challenges and look ahead to longer-term strategic planning beyond COVID-19. Technological advancements, new digitally native brands and changing consumer expectations are driving uncertainty and increased competition, regardless of the industry. By understanding what cross-industry peers are focusing on for future investments and long-term strategies, businesses can stay ahead of change, embrace new opportunities to improve the customer experience and meet sustainability goals to maintain their competitive edge.
Odyssee nach Koha
(2020)
Datenmigration nach Koha
(2020)
Auf Safari-Suche mit Zebra
(2020)
Neuerung in Koha 20.11
(2020)
Research on motivation may be alive and vital, but it is highly fragmented. This thesis discusses the most prevalent motivation theories and compares their ideas and concepts to introduce two new fields of research in this area: neurology and cardiology. The next era of motivation research will conflate concepts derived from behavioral approaches with organic substructure and elevate our understanding of motivation. A sound understanding of motivation allows organizational scholars to solve the motivational problem in the context of the organizational problem. To make proper use of promising novel insights in organizational contexts, we will revisit the current state of performance evaluation and their ability to coordinate and motivate individuals. By reconsidering how rewards crowd out intrinsic motivation via complex moods, and how superior intrinsic motivation increases performance compared to extrinsic motivation, this thesis introduces the motivation-potential model of feedback. Using a case study on a feedback-based management control system at a European e-commerce company based in Germany, we test how self-determination theory could be expanded by neurological concepts and quantitatively applied to design performance evaluation systems under the consideration of the motivation-potential model of feedback. In its entirety, this thesis attempts to build common ground for the future of motivation research and provides in-depth examples of theorization upon the aggregation of the field of research, as well as practical application and execution.
The present study investigates how family firms respond to disruptive industry changes. We aim to investigate which factors prevent or support family firms` adoption of disruptive innovations in their industry and which mechanisms lead to more or less successful coping with disruptive change. Our analysis is based on 24 qualitative interviews with top executives and on secondary data from an industry in which disruptive innovations dramatically changed the way business was generated. The industry in question is the mail order industry, which, in its early days, disrupted the retail business. When the Internet and, with it, ecommerce started to disrupt the industry in the late 1990s, the industry was characterized by a high proportion of family firms and a low level of innovativeness. While incumbent firms had been very successful for decades, most of them were confronted with serious turbulence when new entrants started changing the face of the industry. Our findings show that different factors impact reactions to disruptive industry change in two different phases, namely, opportunity recognition and opportunity implementation. While some of the influencing factors are determined by industry factors, family influence may function for better or worse for incumbent firms. Specifically, we find that in firms with a family disruptor, a family member in a powerful position who drives the adoption of the new technology, hindrances can be overcome and firms tend to show more successful strategies when reacting to the disruptive industry change.
The trucking industry is at the beginning of a radical change due to several megatrends which will reshape the industry significantly. Based on the targets of the Paris Climate Agreement, the German government adopted its own Climate Action Plan 2050 which includes sector- specific reduction targets to reach a greenhouse gas neutral society by the middle of the 21st century. By 2030, the German Climate Action Plan specifies a reduction target of 40% from transportation compared to the reference year 1990. While emissions from other sectors such as energy or industry have decreased significantly since then, emissions from transportation remained stable. Among the various modes of transportation, passenger cars and commercial vehicles are by far the largest emitters of greenhouse gas emissions. As of January 2019, 99.7% of heavy-duty trucks registered in Germany run on diesel while the number of alternative fuel- powered passenger cars increases steadily. Apart from rising emissions, the industry faces a severe shortage of qualified truck drivers. According to the German Association of Freight Forwarders and Logistics Companies, the industry was facing a shortage of 45,000 drivers in Germany in 2017 with increasing tendency due to higher trade volumes and e-commerce.
This dissertation aims to discuss the transition of road transport in Germany toward innovative heavy-duty trucks. The main body of this dissertation consists of three research papers each of them focusing on autonomous and/or alternative fuel-powered heavy-duty trucks. The first research paper presents the results of a Delphi study with experts from industry and academia on factors affecting the purchasing decision and operation of alternative fuel-powered heavy-duty trucks in Germany. In the second study, a choice-based conjoint experiment with employees from freight companies was conducted to test how customers value the main attributes of innovative heavy-duty trucks. The Generalized Bass diffusion model was applied in the third study to investigate the future diffusion of battery electric heavy-duty trucks considering total-cost-of-ownership reduction effects.
By building on foundations from psychology, we aim to enhance academic understanding of the advising process in family businesses. We find evidence, based on rich qualitative data, suggesting that trust serves as a key construct in the relationship between family businesses and their advisors. In particular, we empirically show and theorize that trusting relationships evolve via a nonlinear process characterized by a constant interplay between cognitive and—increasingly important—affective assessments of family business trustors. The following types of trust emerge from these internal assessments: an intention to trust, which develops into perceived trust and finally results in behavioral trust.
Die zeitnahe, transparente und nachhaltige Verbreitung nachprüfbarer wissenschaftlicher Ergebnisse ist eine der wesentlichen Anforderungen an die wissenschaftliche Kommunikation und Infrastruktur. Open Access, also die offene und kostenfreie Nutzung von wissenschaftlicher Literatur, ist hierfür die Grundvoraussetzung. Hochschulen und Universitäten sind in der Regel die Institutionen, an denen Wissenschaftler neue Forschungsergebnisse erzeugen und zur Veröffentlichung als Buch vorbereiten. Neben klassischen Wissenschaftsverlagen veröffentlichen daher immer mehr Hochschulverlage wissenschaftliche Publikationen. Das vorliegende Handbuch beschreibt einen nachhaltigen, allgemeingültigen State-of-the-Art-Workflow zur Herstellung und Distribution von akademischen Büchern, der es Hochschulen und Universitäten ermöglicht, bei weitest möglicher Verbreitung, Sichtbarkeit und Zugänglichkeit eigene Forschungsarbeiten und Graduierungsschriften in digitaler Form im Open Access und als gedrucktes Buch zu veröffentlichen. Dieses Workflow-Modell wird anhand ausgewählter Fallbeispiele als Proof of Concept demonstriert und spiegelt den aktuellen Stand der derzeit im Verlagsbereich technischen und wirtschaftlichen Möglichkeiten wider. Anhand der Fallbeispiele wurden zudem der Zeit-, Kosten- und Personalaufwand erfasst, sodass anderen Hochschulen und Universitäten Anhaltspunkte für nötige Investitionen bei der Gründung und dem Betrieb eigener OA-Hochschulverlage gegeben werden.
We examine the effects of the COVID-19 pandemic on the economic decline expected in Germany in 2020. The magnitude of the economic slump that will occur in 2020 depends on the extent of the slump during the shutdown, on the point in time, at which a significant easing of shutdown occurs, and on the length of adjustment process towards the structures that prevailed before the pandemic. We derive several scenarios and find that the shutdown will only remain in the single-digit percentage range if we apply very optimistic assumptions about the extent of the initial decline in GDP during the shutdown and the speed of adjustment after opening up of the economy. However, assuming that the economic crisis cannot end before the medical crisis ends, which medical experts project not to happen before the end of 2020, such optimistic assumptions do not appear realistic. Hence, we find it more likely that the percentage decline of GDP in Germany will be two-digit in 2020. Our findings are in contrast to the growth projections recently issued by the German Council of Economic Experts or by the Federal Ministry of Economic Affairs and Energy of Germany.
ERM für Koha mit CORAL
(2020)
Neuerungen in Koha 20.05
(2020)
Neuerungen in Koha 19.11
(2020)
Tu Felix Koha
(2020)
This paper documents that ECB announcements on monetary policy increase stock market volatility in the euro area (EA) using several volatility measures from January 1999 to December 2019. Employing event study methods, a more pronounced impact exists following the global financial crisis starting in 2007. All assets react similarly so that no national peculiarities arise. The effects also spill over to 12 non-EA markets analyzed. Stock markets are more sensitive to negative monetary policy news than to positive ones. Further weighting the announcements by financial market reactions, stock markets behave in a more heterogeneous way.
In e-commerce, customers are usually offered a menu of home delivery time windows of which they need to select exactly one, even though at least some customers may be more exible. To exploit the exibility of such customers, we propose to introduce exible delivery time slots, defined as any combination of such regular time windows (not necessarily adjacent). In selecting a exible time slot (out of a set of windows that form the exible product), the customer agrees to be informed only shortly prior to the dispatching of the delivery vehicle in which regular time window the goods will arrive. In return for providing this exibility, the company may offer the customer a reduced delivery charge and/or highlight the environmental benefits. Our framework also can accommodate customized exible slots where customers can self-select a set of regular slots in which a delivery may take place.
The vehicle routing problem (VRP) in the presence of exible time slots bookings corresponds to a VRP with multiple time windows. We build on literature on demand management and vehicle routing for attended home delivery, as well as on exible products. These two concepts have not yet been combined, and indeed the results from the exible products literature do not carry over directly because future expected vehicle routing implications need to be taken into account. The main methodological contribution is the development of a tractable linear programming formulation that links demand management decisions and routing cost implications, whilst accounting for customer choice behavior. The output of this linear program provides information on the (approximate) opportunity cost associated with specific orders and informs a tractable dynamic pricing policy for regular and exible slots. Numerical experiments, based on realistically-sized scenarios, indicate that expected profit may increase significantly depending on demand intensity when adding exible slots rather than using only regular slots.
The profession of anaesthesia technologist is a relatively new profession in Germany. The German hospital Association published the first training guideline in 2011. Likewise the surgical technologist profession, the profession of anaesthesia technologists are not officially certified. Hence, similar disadvantages such as further career restrictions and uncertainties in case of unemployment exist. Even the hospitals need to cover the full training expenses. The training of an anaesthesia technologist lasts three years, containing of practical work experience within the anaesthesia units such as the post-anaesthesia caring unit and a theoretical education. The action site is limited to the anaesthesia units only. An anaesthesia technologist is an assistant to the doctor and takes care of the patient before, during and after the anaesthesia. Since the anaesthesia technologist profession is a very young profession group, little is known about the preferences of this group. However, hospital manager need to understand the individual preferences to be able to provide a target group tailored recruitment.
The motivation was to provide results to inform the human resource management of hospitals about the preferences of the very young profession group of anaesthesia technologist with respect to contribute to a successful development of this profession in order to cope with the current labour shortage crisis.