On optimal allocations for estimating the surface of a random field

In general, the construction of optimal designs is apparently a difficult task for the approximation of a random field indexed by more than one dimension. Besides the rate of convergence of the minimum achievable error hardly anything is known until now. However, if there is an immanent structure present in the random field, then, taking this structure into account, improved estimates can be obtained. For this situation we present adequate designs which show, at least, a nearly optimal performance. work supported by 313/ARC/VII/93/151 of the DAAD work supported by Ku719/2-1 of the DFG     

(S,s)-adjustment Strategies and Hedging under Markovian Dynamics

We study the destabilizing effect of hedging strategies under Markovian dynamics with transaction costs. Once transaction costs are taken into account, continuous portfolio rehedging is no longer an optimal strategy. Using a non-optimizing (local in time) strategy for portfolio rebalancing, explicit dynamics for the price of the underlying asset are derived, focusing in particular on excess volatility and feedback effects of these portfolio insurance strategies. Moreover, it is shown how these latter depend on the heterogeneity of the insured payoffs. Finally, conditions are derived under which it may be still reasonable, from a practical viewpoint, to implement Black–Scholes strategies.     

The Role of Corporate Sustainability in a Low‐Cost Business Model – A Case Study in the Scandinavian Fashion Industry

This multi‐level case study illustrates how corporate sustainability contributes to the low‐cost business model of a Scandinavian fashion company. Contrary to parts of the extant literature, we do not find that corporate sustainability directly adds measurable value (e.g. a better brand image); neither does it exert coercive control over critical supplier relationships. However, corporate sustainability minimizes the downside risk of the business model. It does so by (1) creating implicit contracts that reach beyond traditional ‘shareholder value’, (2) transferring risk to suppliers and (3) improving leadership by motivating management and employees, and by directing their attention to critical issues. For companies, we offer the insight that corporate sustainability is a necessary complement to shareholder value, even if the relationship is not obvious at first sight. We also suggest that concerted actions of companies or a positive connotation of certification create effective control over suppliers. As to public policy, we conclude that regulators could introduce mandatory disclosure of suppliers to facilitate controls through stakeholders, or alternatively an industry‐wide comply‐or‐explain code of conduct. We also address how regulators can take direct actions against countries with unsustainable labor policies. Last, we suggest future research topics, e.g. expanding the notion of a business model by interpreting ‘adding value’ as prevention of losses. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment.     

Innovation labs in the public sector: what they are and what they do?

This article is a first comprehensive attempt to globally map and analyse innovation labs (i-labs) in the public sector. The article analyzes theoretical reasons why i-labs are created in the public sector and tests these assumptions in practice. During the empirical study, thirty-five such organizations all over the world were identified. The research is based on a two-step approach: first, a comprehensive survey was carried out followed by an extensive in-depth interview with the managing figures of i-labs; eleven i-labs responded. The article finds support for the assumptions of external complexity, technological challenges, emulation, and legitimization as reasons behind the creation of i-labs.     

Does e-HRM lead to better HRM service?

Electronic Human Resource Management (e-HRM) is often assumed to increase HRM service quality. This paper empirically examines the relationship between e-HRM and HRM service quality and addresses two calls from recent e-HRM studies, namely to highlight (i) the importance of the interplay between technological and organizational aspects and (ii) the finding that improved HRM service quality is a consequence of e-HRM implementation. We argue that the key drivers of HRM service quality are the strengths both of HRM and of e-HRM. The relationship may be mediated by the frequency of e-HRM usage. In addition, building on Adaptive Structuration Theory, the degree to which mediation occurs may differ within regimes of high and low e-HRM appropriation. We use moderated mediation analysis on a sample of 140 employees of an administration unit to shed light on the drivers of HRM service quality. While we identify strong positive direct effects of HRM strength and of e-HRM strength, we fail to uncover either mediation or contingent mediation effects. The study contributes to e-HRM research by identifying the main antecedent of HRM service quality as HRM strength.     

Filter-design and model-based analysis of trends and cycles in the presence of outliers and structural breaks

A large proportion of today’s econometric literature addresses the question of whether long run GDP follows a random walk or a log linear trend with one or more structural breaks. Much less attention is paid to the modelling of the long run trend and cycle component. In most studies, the trend is simply eliminated by taking first differences of the log of the series without considering the implications of this kind of trend removal for growth and cycles. Filter design and model-based approaches are used here to assess the long run trend and the cyclical component of Chile’s per capita GDP from 1820 to 2007. Careful attention is paid to outliers and trend breaks and how they influence the appraisal of the components. We show that filter and model-based approaches give comparable results if the filter and model parameters are not chosen mechanically but tailor-made for the time series to be investigated.     

Credit risk and bank margins in structured financial products: Evidence from the German secondary market for discount certificates

This study analyzes bank margins in the German secondary market for exchange‐traded structured financial products, with particular emphasis on the influence of banks' credit risk. A structural model allowing for the incorporation of correlation effects between market and credit risk is applied to compare quoted and fair theoretical prices. For discount certificates, as the most popular type of structured financial products in Germany, an empirical study is conducted. Compared to earlier studies, total margins are found to be rather low, whereas the portion that draws back to credit risk appears to be a material part of the total margin. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28: 376–397, 2008