Conflict prevention by Bayesian persuasion

Drawing upon the Bayesian persuasion literature, I show that a mediator can provide conflicting parties strategically with information to decrease the ex-ante war probability. In a conflict between two parties with private information about military strength, the mediator generates information about each conflicting party's strength and commits to sharing the obtained information with the respective opponent. The conflicting parties can be convinced not to fight each other. The conflicting parties benefit from mediation, as the ex-ante war probability is reduced. The benefit is taken up by weak conflicting parties. This benefit is larger when war is costlier and when the war probability absent mediation is higher.     

Strategic analysis of providing corporate sustainability open data

How companies report their data is undergoing digitization and sustainable transformation. Sustainability is important; therefore, various stakeholders are interested in sustainability information. Companies provide the required information and strive toward the use of information systems to ensure efficient data processing. A possible approach for information provision is open data. This research introduces the idea of corporate sustainability open data (CSOD) as one new mechanism of companies' sustainability self-reporting. Since CSOD is not yet commonly practiced by companies, a strategic analysis of the situation and its possible consequences is conducted with an analysis of strengths, weaknesses, opportunities, and threats. This research provides an overview of companies' sustainable development through open data. Moreover, it identifies drivers, challenges, and reasonable strategies for CSOD adoption. Thus, the research contributes to the establishment of an innovative application of open data in the private sector to support sustainable transformation worldwide.     

Die Beurteilung von Musterversicherungsbedingungen nach Europ?ischem Kartellrecht

Standard policy conditions (??SPCs??) were exempted from the prohibition of restrictive practices until 31 March 2010 by the block exemption regulations for the insurance sector dated 1992 and 2003. The new block exemption regulation for the insurance sector that entered into force on 1 April 2010 did not renew the exemption of SPCs from the prohibition of restrictive practices. As a result, the admissibility of existing as well as of new established and distributed SPCs must be assessed under European Competition law (Art. 101(1), (3) TFEU). Of central importance are the Commission??s new Horizontal Guidelines which cover criteria for the assessment of standard terms, including SPCs. This paper analyzes the criteria under which SPCs are compatible with competition law according to the Horizontal Guidelines.     

A review of spatial localization methodologies for the electric vehicle charging infrastructure

With view to the high share of the transport sector in total energy consumption, e-mobility should play an important role within the transition of the energy systems. Policymakers in several countries consider electric vehicles (EV) as an alternative to fossil-fueled vehicles. In order to allow for the development of EV, the charging infrastructure has to be set up at locations with high charging potential, identified by means of various criteria such as demand density or trip length. Many methodologies for locating charging stations (CS) have been developed in the last few years. First, this paper presents a broad overview of publications in the domain of CS localization. A classification scheme is proposed regarding modeling theory and empirical application; further on, models are analyzed, distinguishing between users, route or destination centricity of the approaches and outcomes. In a second step, studies in the field of explicit spatial location planning are reviewed in more detail, that is, in terms of their target criteria and the specialization of underlying analytical processes. One divergence of these approaches lies in the varying level of spatial planning, which could be crucial depending on the planning requirements. It is striking that almost all CS locating concepts are proposed for urban areas. Other constraints, such as the lack of extensive empirical EV traffic data for a better understanding of the driving behavior, are identified. This paper provides an overview of the CS models, a classification approach especially considering the problem’s spatial dimension, and derives perspectives for further research.