Smart Products: Conceptual Review,Synthesis, and Research Directions*

Smart products have received increasing attention from researchers and practitioners alike. One limitation of the existing literature, however, is that the term is often used as a blanket term and that there is no consensus on what a smart product actually is. Because different studies rely on differing conceptualizations, the current body of knowledge is scattered and lacks a uniform language and conceptual boundaries. Specifically, existing research has subsumed inherently different products under one collective term, has relied on a multitude of ad hoc criteria to define smart products or has conflated smart products with the services they render and/or the wider ecosystem, in which they operate. These developments limit the systematic advancement of the field and impede the integration of the smart product concept into related concepts such as the Internet of Things. To address these issues, this article provides an extensive analysis of the status quo of the field, with the goal of developing a common language and comprehensive conceptualization of smart products. First, existing studies on smart products were systematically reviewed across contributing disciplines and supplemented with a bibliometric analysis that allowed for a deeper understanding of the smart product concept within and across disciplines. This analysis revealed an initial set of 16 capability-based criteria that are currently applied to conceptualize smart products. Second, based on a systematic coding procedure, these criteria were synthesized and organized within a comprehensive framework delineating four distinct product archetypes for the digital age: (1) Digital, (2) Connected, (3) Responsive, and (4) Intelligent. Third, three major conceptual themes that arise from this framework are identified and possibilities for future research are pointed out. In sum, this work contributes to the literature by improving the understanding of smart products as an epistemic object and by laying the ground for more cumulative research endeavors.     

Do Lower Caseloads Improve the Performance of Public Employment Services? New Evidence from German Employment Offices

The caseworker‐to‐clients ratio is an important, but understudied, policy parameter that affects both the quality and cost of public employment services that help job seekers find employment. We exploit a large‐scale pilot by Germany's employment agency, which hired 490 additional caseworkers in 14 of its 779 offices. We find that lowering caseloads caused a decrease in the rate and duration of local unemployment as well as a higher re‐employment rate. Disentangling the mechanisms that contributed to this improvement, we find that offices with lowered caseloads increased monitoring and imposed more sanctions but also intensified search efforts and registered additional vacancies.     

Same Same But Different: Dialects and Trade

Language is a strong and robust determinant of international trade patterns: Countries sharing a common language trade significantly more with each other than countries using different languages, holding other factors constant. In this article we present the first analysis of the effect of language on trade in an intra‐national context. Analyzing unique data for a single‐language country, Germany, we find that similarities in the local dialect have a significantly positive impact on regional trade. We interpret this finding as evidence for the trade‐promoting effect of culture, because linguistic similarities likely reflect cultural ties across regions, rather than lower costs of communication or similar institutions.     

Subsidiarity in the European Union

Against the backdrop of the highly controversial debate on the future competences of the different European institutions, the principle of subsidiarity, a fundamental principle of European Union law, has recently met with renewed interest. The contributions to this Forum discuss a number of pertinent issues.

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*A longer version of this article is to be found in H. Tomann (ed.): Die Rolle der europ?ischen Institutionen in der Wirtschaftspolitik, Baden-Baden 2006, Nomos, pp. 59-76.     

A dynamic spatial panel data approach to the German wage curve

A wage curve is a decreasing function of wages on the regional unemployment rate. Most empirical studies on the wage curve ignore possible spatial interaction effects between the regions which are the primary units of research. This paper reconsiders the western German wage curve with a special focus on the geography of labour markets. Spillovers between regions are taken into account. The paper tests whether the unemployment rate in the larger surrounding region also affects wages. In addition, agglomeration effects and effects of local monopsony are assessed.The main database is a random sample of 974,179 employees observed over the period 1980-2004 and covering 326 NUTS3 units (districts). This rich data set is used to estimate a dynamic wage curve according to the two-step approach of Bell et al. (2002). In the first step one controls for individual heterogeneity and in the second step one allows for spatial effects of unemployment across regions on wages. We check the sensitivity of this wage elasticity to various spatial weight matrices as well as allowing for the endogeneity of unemployment. We also estimate the wage elasticity for various population groups.     

Capital Structure and Labour Demand: Investigations Using German Micro Data

The paper analyses the interaction between capital structure and employment decisions of firms. For this purpose, a theoretical model is developed in which a firm determines employment along an optimal path taking into account financial considerations. The empirical analysis using West German micro data proves that a negative relationship exists between employment and the debt asset ratio of the firm. We also demonstrate that as real wages (sales) increase, employment decreases (increases).     

Analyzing interest rate risk: Stochastic volatility in the term structure of government bond yields

We propose a Nelson–Siegel type interest rate term structure model where the underlying yield factors follow autoregressive processes with stochastic volatility. The factor volatilities parsimoniously capture risk inherent to the term structure and are associated with the time-varying uncertainty of the yield curve’s level, slope and curvature. Estimating the model based on US government bond yields applying Markov chain Monte Carlo techniques we find that the factor volatilities follow highly persistent processes. We show that yield factors and factor volatilities are closely related to macroeconomic state variables as well as the conditional variances thereof.