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Six years ago, Bonneau et al. (2012) proposed a framework to compare authentication schemes to the ubiquitous text password. Even though their work did not reveal an alternative outperforming the text password on every criterion, the framework can support decision makers in finding suitable solutions for specific authentication contexts. The purpose of this paper is to extend and update the database, thereby discussing benefits, limitations and suggestions for continuing the development of the framework.

This paper revisits the rating process and describes the application of an extended version of the original framework to an additional 40 authentication schemes identified in a literature review. All schemes were rated in terms of 25 objective features assigned to the three main criteria: usability, deployability and security.

The rating process and results are presented along with a discussion of the benefits and pitfalls of the rating process.

While the extended framework, in general, proves suitable for rating and comparing authentication schemes, ambiguities in the rating could be solved by providing clearer definitions and cut-off values. Further, the extension of the framework with subjective user perceptions that sometimes differ from objective ratings could be beneficial.

The results of the rating are made publicly available in an authentication choice support system named ACCESS to support decision makers and researchers and to foster the further extension of the knowledge base and future development of the extended rating framework.

Relative to comparable industrialized countries, Germany stands out in terms of its low homeownership rate (43 percent). For Germany, it is unknown so far to what extent the low rate of homeownership can be related to housing being unaffordable. One reason for the lack of evidence is the apparent lack of data. The purpose of this paper is to fill this gap.

Based on a regional dataset of 3.9 million asking prices of housing units collected by a real estate listing engine, the paper applies internationally established affordability concepts to the German housing market. The authors then run a number of cross‐section regressions at the level of the 16 German federal states, using the affordability measures as explanatory variables of the rate of homeownership.

The results show that the average German household would have to sacrifice a large part of its non‐housing consumption to afford homeownership, especially of single‐family homes. As the regional analysis reveals, certain types of household can even be considered excluded from the ownership market in some particularly unaffordable states with cost burdens of over 50 percent, such as Bavaria. The cross‐section regression results for the 16 federal states affirm the importance of affordability as a determinant of the homeownership rate.

The official data on ownership rates are rather spotty over time and only available for a single year (2006) for the time frame that is considered for the affordability analysis (2005‐2010). Given the data limitations, the regression analysis has to be confined to a single cross section least squares regression for 2006. The authors are aware that to obtain truly convincing results, it would be necessary to capture the development of ownership rates in different localities in Germany, such as the 16 federal states, over time and to check to what extent the affordability measures can explain any of the variation in ownership rates in a panel data framework with fixed effects for federal states and time. However, the authors feel that the regression results may serve as a starting point; they are better than a set of simple correlations, even if they constitute not a conclusive causal analysis.

Any public policy initiative to raise Germany's homeownership rate will have to address the question of how to make housing more affordable. The recent elimination of homeowner subsidies is working in exactly the opposite direction.

The affordability approach used is technically not new or challenging, but it offers a basis for comparison that has been conspicuously lacking so far for the fourth largest economy of the world. By applying affordability concepts that are well accepted and in use internationally, the authors believe that they can provide at least some suggestive evidence that can further spur research into the affordability issue. While the authors do not break new methodological ground with their paper, they do provide a basis of comparison for policy discussion and for further research. Germany provides a unique environment for affordability research, due to its reunification history, observations from which may thus yield insights valuable to the international research community.

Knowledge- and communication-intensive domains still long for a better support of creativity that considers legal requirements, compliance rules and administrative tasks as well, because current systems focus either on knowledge representation or business process management. The purpose of this paper is to discuss our model of integrated knowledge and business process representation and its presentation to users.

The authors follow a design science approach in the environment of patent prosecution, which is characterized by a highly standardized, legally prescribed process and individual knowledge study. Thus, the research is based on knowledge study, BPM, graph-based knowledge representation and user interface design. The authors iteratively designed and built a model and a prototype. To evaluate the approach, the authors used analytical proof of concept, real-world test scenarios and case studies in real-world settings, where the authors conducted observations and open interviews.

The authors designed a model and implemented a prototype for evolving and storing static and dynamic aspects of knowledge. The proposed solution leverages the flexibility of a graph-based model to enable open and not only continuously developing user-centered processes but also pre-defined ones. The authors further propose a user interface concept which supports users to benefit from the richness of the model but provides sufficient guidance.

The balanced integration of the data and task perspectives distinguishes the model significantly from other approaches such as BPM or knowledge graphs. The authors further provide a sophisticated user interface design, which allows the users to effectively and efficiently use the graph-based knowledge representation in their daily study.

The purpose of this study is to empirically investigate the role of dynamic capabilities, specifically the sequence of sensing, seizing, and transforming capabilities, in highly uncertain, emerging technology environments. Focusing on the extended reality industry, the study aims to understand the antecedents to these dynamic capabilities, their sequential nature, and their subsequent impact on innovation and company performance.

Based on a survey of 130 German companies in the extended reality sector, we built a structural equation model that explores the relationship between dynamic capabilities, their antecedents, and their effect on innovation and company performance.

The analysis suggests that sensing capabilities positively influence seizing and transforming capabilities, while seizing directly contributes to transforming. Transforming capabilities are linked to improved innovation performance, which in turn boosts company performance. Organizational ambidexterity, market orientation, and technology orientation are found to be crucial antecedents, accounting for 33.1% of the variance in sensing capabilities.

This research illuminates the interdependence of dynamic capabilities in highly uncertain business environments, such as emerging technology markets. It contributes original insights by elucidating the sequential nature of dynamic capabilities and identifying their vital antecedents. It also enlarges the understanding of how dynamic capabilities impact firms’ innovation performance.