Publication database

Co-producing scientific research with those who are affected by it is an emerging phenomenon in contemporary science. This article summarizes and reflects on both the process and outcome of a novel experiment to co-develop scientific research proposals in the field of Open Innovation in Science (OIS), wherein scholars engaged in the study of open and collaborative practices collaborated with the “users” of their research, i.e., scientists who apply such practices in their own research.The resulting co-developed research proposals focus on scientific collaboration, open data, and knowledge sharing and are available as an appendix to this article.

This thesis consists of three studies analyzing interactions among agents in different types of network. Chapter 1 focuses on the formation and consequences of social influence networks in organizations. Using agent-based simulations and formal game theoretical analysis, we develop a dynamic model of social influence and goal-updating to examine how employees form social influence networks, set norms, and commit to effort-levels in response to social comparisons processes prompted by the manager. By incorporating different contextual moderators, this chapter enriches the behavioral theory of the firm, showing when fueling comparisons (and the resulting conformity) is favorable or hostile to organizational performance.

In Chapter 2, I focus on firms' collaboration networks and revisit the “empirical content” of structural hole theory: how the benefits of a network position rich in structural holes for organizational performance vary under extreme, crisis conditions. Using longitudinal network data on investment banks—and exploiting the shocks of the dot.com market crash in 2000, as well as the housing crisis of 2008—we show that only monopolistic structural holes are advantageous for performance in crisis conditions. We provide further empirical tests of the mechanisms underlying this result and find that during the storm of crises, the key strategy for organizations which suffer from the crisis, is to compete for survival opportunities—new business partnerships and opportunities—and thus, they need exclusive, uncontested access to structural holes.

Finally, Chapter 3 looks at networks in competition and tests how status similarity results in conflicts among agents. Using data from the experiment by Charness et al. (2014), I empirically show that conflicts may arise among agents due to the ambiguity of who dominates the others, and highlight the moderation effect of gender norms in the relationship between status ambiguity and conflict.

Organizations can make better choices about which R&D projects gain funding by managing bias and involving more people.

The structure of the efficiency-driven industry model contributed to supply chain failures under the pandemic. Industry leaders must now pursue alternative strategies to create resilience, despite the risks.

This book is a collection of challenging cases in executive coaching from the annals of the ESMT-Berlin Coaching Colloquia - yearly events for experienced professionals committed to advancement of the coaching profession. In the period of 2009-2018, hundreds of difficult cases were discussed by coaches from all over the world in an intensive but safe environment of the ESMT Berlin Campus. This volume presents a few of those cases to the interested public and offers a unique opportunity to explore the work of coaches from within and to reflect upon ways professionals approach ambiguous moments in their practice. The cases do not serve the purpose to endorse or critique a particular coaching choice, but rather give the reader an opportunity to think about their own ways of handling professional challenges in coaching engagements. The book can be an exciting self-development tool or instructional material for courses in coaching training or supervision.

Any large dataset can be analyzed in a number of ways, and it is possible that the use of different analysis strategies will lead to different results and conclusions. One way to assess whether the results obtained depend on the analysis strategy chosen is to employ multiple analysts and leave each of them free to follow their own approach. Here, we present consensus-based guidance for conducting and reporting such multi-analyst studies, and we discuss how broader adoption of the multi-analyst approach has the potential to strengthen the robustness of results and conclusions obtained from analyses of datasets in basic and applied research.

This article provides a structured overview on the most important features of the new German legislation awarding tax breaks for R&D active companies.

The article deals with the potential that lies in the creation of a digital identity. More concretely, the article explores to what extent the customer experience can be improved by a digital/electronic identity system that allows customers to just use one single mobile app to pull data from various providers.