Blockchain in Additive Manufacturing and its Impact on Supply Chains

Additive manufacturing (AM) appears to be a particularly attractive use case for blockchain. This research combines inductive in‐depth interviews with the Delphi method to explore what potentials blockchain technology in AM creates, which adoption barriers firms need to overcome, and how supply chains will be affected by the integration of these two potentially disruptive technologies. The results suggest opportunities that are related to intellectual property (IP) rights management, the monitoring of printed parts throughout their lifecycle, process improvements, and data security. The most important barriers for blockchain adoption in AM are an absence of blockchain‐skilled specialists on the labor market, missing governance mechanisms, and a lack of firm‐internal technical expertise. By addressing important limitations of AM, blockchain is expected to improve the competitiveness of AM in parts’ production, catalyzing the trend toward more decentralized manufacturing resulting in more agile, resilient, and flexible supply chains and reduced logistics costs. Beyond that, blockchain‐based AM platforms are expected to enhance supply chain visibility, drive supply chain digitalization, support supply chain finance, and contribute to the emergence of shared factory systems.     

Saving Accounts versus Stocks and Bonds in Household Portfolio Allocation

We study the structure of household portfolios of financial wealth by analyzing both the determinants of total financial wealth and the choice between risky (stocks and bonds) and riskfree assets (saving accounts). The econometric specification is a generalized trivariate Tobit model, estimated on a cross section of 3,077 households in the Netherlands in 1988. We account for endogeneity of financial wealth and for selectivity due to nonreporting. Results show that the level of financial wealth and the marginal tax rate are major determinants of the allocation between riskfree and risky assets.     

Skill Loss, Ranking of Job Applicants and the Dynamics of Unemployment

Abstract. This paper investigates the consequences of skill loss as a result of unemployment in an efficiency wage model with turnover costs and on-the-job search. Firms are unable to differentiate wages and therefore prefer to hire employed searchers or unemployed workers who have not lost human capital. It is shown that if some fundamental factor in the economy changes, this will result in a lengthy adjustment process with substantial long-run unemployment effects. Moreover, the model is capable of generating persistence, but the amount depends on the duration of the shock itself.     

Authentizität und Inszenierung von Bilderwelten

Ohne Zusammenfassung     

Uncertainty in the Austrian Theory of Capital

This paper is based on the traditional Austrian Theory of Capital which deals with expected values of future returns of investments over various periods of time. The longer the time period that elapses between the beginning of a production process and its end, the higher the (expected) productivity must be due to positive time preferences of individuals. This paper focuses on the uncertainty of future returns and on uncertainty preferences, instead. Based on the Hayekian idea of the dispersion of knowledge in society, it will be shown that there is a systematic relationship between the structure of capital and uncertainty. This result will be derived for a production process characterized by complete vertical integration and one which is not completely vertically integrated. The distinction between these two settings is crucial, if one accepts the distinction between an individual and a social period of production and the planning horizon which are introduced in this paper.