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Real estate markets are known to fluctuate. The real estate market in Stuttgart, Germany, has been booming for more than a decade: square-meter price hit top levels and real estate agents claim that market prices will continue to increase. In this paper, we test this market understanding by developing and analyzing a system dynamics model that depicts the Stuttgart real estate market. Simulating the model explains oscillating behavior arising from significant time delays and endogenous feedback structures – and not necessarily oscillating interest rates, as market experts assume. Scenarios provide insights into the system's behavior reacting to changes exogenous to the model. The first scenario tests the market development under increasing interest rates. The other scenario deals with possible effects on the real estate market if the regional automotive economy suffers from intense competition with new market players entering with alternative fuel vehicles and new technologies. With a policy run we test market structure changes to eliminate cyclical effects. The paper confirms that the business cycle in the Stuttgart real estate market arises from within the system's underlying structure, thus emphasizing the importance of understanding feedback structures.
Weltweit und in Deutschland erreicht das Thema Inflation neue Höchststände in der Aufmerksamkeit (Google-Trends 2022). Nach einer vielbeachteten und millionenfach angesehenen Online-Weihnachtsvorlesung aus dem Jahre 2020 hat der Ökonomieprofessor Hans-Werner Sinn das Buch mit gleichnamigem Titel „Die wundersame Geldvermehrung“ veröffentlicht. Abermals könnte es dem Autor gelingen die politische Öffentlichkeit damit aufzurütteln.
In daily life, people tend to use mental shortcuts to simplify and speed up their decision-making processes. A halo effect exists if the impression created by a dominant attribute influences how other attributes of an object or subject are judged. It involves a cognitive bias that leads to distorted assessments. However, the halo effect has barely been researched in a sports-related context, although it can substantially contribute to understanding how sport fans think and behave. The objective of this paper is to answer the question that is of interest for both theory and practice of sports marketing: Is there a halo effect in sports? Does the sporting success or failure of a professional soccer team radiate or even outshine other sports related and non-sports aspects and influence or distort how the club is perceived by its fans? Fans of six soccer clubs selected from the first German soccer league Bundesliga were interviewed. This paper presents the results of an empirical study based on a data set consisting of a total of 4,180 cases. The results of the analyses substantiate the distortion of the fans’ perception with regard to a very diverse range of aspects that is triggered by the sporting success or failure of their favorite club.
Stetiger Wandel macht auch vor dem Vertriebsprozess deutscher KMU nicht Halt. Evolutive Umwelteinflüsse sowie revolutionäres Handeln stehen im Zentrum eines Umbruchs im Vertrieb. Ergebnisse aus einem quantitativen Stimmungsbarometer deutscher KMU ermöglichen das Ableiten unternehmerischer Handlungsempfehlungen für Vertriebsorganisationen.
Rapidly growing population and increasing amount of shipments induced by the e-commerce are two of the main reasons for the constantly rising urban freight traffic. Cities are therefore overwhelmed by a growing stream of goods and the available infrastructure, shared between people and goods traffic, often reached its maximum capacity. Phenomena such as traffic congestion, pollution and lack of space are direct consequences of this trend and their impact on the quality of life in the city is not negligible. City administrations are keen to evaluate innovative city logistics concepts and adopt alternative solutions, to overcome the challenges posed by such a dynamic environment, constrained in existing infrastructure. In this paper, a heuristic method based on the utility analysis is presented. Thanks to a modular approach accounting for stakeholders´ requirements, possible different scenarios and available technologies, the development of new city logistic concepts is supported. The proposed method is then applied to a case study concerning the city of Reutlingen (Germany). Results are presented and a brief discussion leads to the conclusion.
The influence of trust on the adherence to investment recommendations in the context of robo-advisors is under-researched. This relationship needs to be better understood because robo-advice lacks a critical element of trust: human interaction. Theory suggests that ability, integrity, and benevolence are key factors in building trust in human advisors. Using an experimental study design, our research examines the relationship between a robo-advisor's trust attributes and the acceptance of its investment advice. The results show that trust in a robo-advisor increases the propensity to follow its recommendations. While ability and integrity are significant, benevolence is not. The study contributes to the research on technology acceptance, trust, and the adoption of technology-based recommendations by improving the understanding of the relationship between trust and the acceptance of automated investment recommendations.
In dieser Arbeit wird ein Ansatz zur Unterstützung von Werkern, Meistern und Instandhaltern vorgestellt, der es ermöglicht, aus der auftretenden Situation heraus (ad hoc), auf aktuelle notwendige Informationen und die Zusammenhänge in einer variantenreichen Serienfertigung zuzugreifen. Schwerpunkt bildet das unternehmensneutrale Gesamtkonzept des fertigungsnahen Kontextinformationssystems, das aus dem Produktionsumgebungsmodell und der Systemarchitektur besteht. Das Produktionsumgebungsmodell beschreibt und vernetzt enthaltene Informationen und Zusammenhänge einer variantenreichen Serienfertigung. Hauptordnungskriterien sind hier die Zugehörigkeit zu einer bestimmten Gruppe (Typ), die Identität eines Gegenstands, dessen Ort und Betriebszustand über die Zeit. Die Systemarchitektur ist modular aufgebaut. Die Module werden in Erfassungsmodule, Kontextverwaltungsmodule, Funktionsmodule zur automatischen und manuellen Informationsfilterung sowie Präsentationsmodule untergliedert und kommunizieren über eine einheitliche Schnittstelle.
Affordable Luxury Sports Cars in Germany : Investigating the Determinants of Customer Experience
(2022)
The article discusses the factors affecting the customer experience when buying affordable luxury sports cars in Germany by identifying differences between first-time and experienced buyers. It emphasizes the need for the creation of two different customer journeys based on different customer experience clusters, a touchpoint analysis from the customer perspective identified differences in purchase stages, and staff behaviour and brand trust for customer satisfaction and brand identification.
The production environment experiences copious challenges, but likewise discovers many new potential opportunities. To meet the new requirements, caused by the developments towards mass-customization, human-robot-cooperation (HRC) was identified as a key piece of technology and is becoming more and more important. HRC combines the strengths of robots, such as reliability, endurance and repeatability, with the strengths of humans, for instance flexibility and decision-making skills. Notwithstanding the high potential of HRC applications, the technology has not achieved a breakthrough in production so far. Studies have shown that one of the biggest obstacles for implementing HRC is the allocation of tasks. Another key technology that offers various opportunities to improve the production environment is Artificial Intelligence (AI). Therefore, this paper describes an AI supported method to improve the work organization in HRC in regards to the task-allocation. The aim of this method is to build a dynamic, semi-autonomous group work environment which keeps not just employee motivation at a high level, but also the product quality due to a decreased failure rate. The AI helps to detect the perfect condition in which the employee delivers the best performance and also supports at identifying the time when the worker leaves this optimal state. As soon as the employee reaches this trigger event, the allocation of the tasks adapts based on the identified stress. This adaptation aims to return the employee to the state of the optimal performance. In order to realize such a dynamic allocation, this method describes the creation of a pool with various interaction scenarios, as well as the AI supported recognition of the defined trigger event.