Open Government: Theoretische Bezüge und konzeptionelle Grundlagen einer neuen Entwicklung in Staat und ?ffentlichen Verwaltungen

New models of innovation have suggested that the innovation process of product and service development is becoming more open, emphasizing the importance of external knowledge and systematically involving external actors and sources in innovation endeavours. The growing success of open innovation practices in many firms raises the question whether these principles can be transferred for reinventing public sector organisations. Beyond technocratic eGovernment and digitalization effort, but with support of web 2.0 technology, we present first examples of how external collaboration and innovation with citizens for public administrations can offer new ways of citizen integration, enhancing public value creation and the political decision making process. In the following, theoretical references and conceptual foundations of this development are identified. By intensive use of internet technologies the aim of Open Government is to achieve more transparency, more participation and a closer collaboration with the various stakeholders in the public sector.     

A note on robustness of D-optimal block designs for two-colour microarray experiments

Two-colour microarray experiments form an important tool in gene expression analysis. Due to the high risk of missing observations in microarray experiments, it is fundamental to concentrate not only on optimal designs but also on designs which are robust against missing observations. As an extension of Latif et al. (2009), we define the optimal breakdown number for a collection of designs to describe the robustness, and we calculate the breakdown number for various D-optimal block designs. We show that, for certain values of the numbers of treatments and arrays, the designs which are D-optimal have the highest breakdown number. Our calculations use methods from graph theory.     

Cui bono? Depicting the benefits of the new municipal budgeting and accounting regime in Germany

The new budgeting and accounting regime for the public sector (Doppik), which is based on private sector accounting standards, has been the subject of numerous discussions in research and practice in Germany for the last 20 years. However, those discussions were mostly characterized by assertions, unproven statements and logical arguments. The objective of this paper is to empirically analyze the perceived benefits of a reformed municipal accrual budgeting and accounting system by using a structural equation model. Our results show that improved management capabilities are an important indirect factor, whereas efficiency, intergenerational equity, and transparency are direct determinants of benefit. The consistent implementation of the new output-/outcome-oriented management rationality and the necessity of harmonizing budget laws are revealed as prerequisites for further development.     

From Fellowship to Stewardship? Explaining Extra-Role Behavior of Volunteer Firefighters

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - We present a research model of extra-role behavior, integrating the literature on public service motivation (PSM) with...     

Estimating the reliability of repeatedly measured endpoints based on linear mixed‐effects models. A tutorial

There are various settings in which researchers are interested in the assessment of the correlation between repeated measurements that are taken within the same subject (i.e., reliability). For example, the same rating scale may be used to assess the symptom severity of the same patients by multiple physicians, or the same outcome may be measured repeatedly over time in the same patients. Reliability can be estimated in various ways, for example, using the classical Pearson correlation or the intra‐class correlation in clustered data. However, contemporary data often have a complex structure that goes well beyond the restrictive assumptions that are needed with the more conventional methods to estimate reliability. In the current paper, we propose a general and flexible modeling approach that allows for the derivation of reliability estimates, standard errors, and confidence intervals – appropriately taking hierarchies and covariates in the data into account. Our methodology is developed for continuous outcomes together with covariates of an arbitrary type. The methodology is illustrated in a case study, and a Web Appendix is provided which details the computations using the R package CorrMixed and the SAS software. Copyright © 2016 John Wiley & Sons, Ltd.