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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.