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.     

External Monitoring of Property Appraisal Estimates and Information Asymmetry

Finance theory proposes that firms' cost of capital increases when market makers set wider spreads due to perceived higher information asymmetry across traders. Using a sample of UK investment property firms and controlling for firms' non-random selection of external monitors, we find evidence that market makers perceive information asymmetry across traders to be lower for firms employing external appraisers versus those employing internal appraisers. This evidence is consistent with liquidity-motivated traders being unable to overcome such reliability differences using asset value information from sources other than accounting. We fail to find a similar difference for firms employing Big 6 versus non-Big 6 auditors. Our findings contribute to the debate over the recognition of fair value estimates for long-lived tangible assets by documenting that reliability differences attributable to differential monitoring by appraisers can affect information asymmetry, and therefore firms' cost of capital.     

Exact and approximate D-optimal designs in polynomial regression

If the sample sizen is large enough, then the exact polynomial regression designs obtained by rounding the weights of the approximate D-optimal design to integral multiples of 1/n are D-optimal. This was shown by alaevskiî (1966) and Gaffke (1987). In this note, an efficient algorithm to determine the minimum sample sizen _d for a polynomial model of degreed is derived from a condition given by Huang (1987). Under an additional assumption we show that the conditions of Gaffke and Huang are equivalent; we verify the additional assumption for polynomial degreed40.     

Chebyshev interpolation for parametric option pricing

Recurrent tasks such as pricing, calibration and risk assessment need to be executed accurately and in real time. We concentrate on parametric option pricing (POP) as a generic instance of parametric conditional expectations and show that polynomial interpolation in the parameter space promises to considerably reduce run-times while maintaining accuracy. The attractive properties of Chebyshev interpolation and its tensorized extension enable us to identify broadly applicable criteria for (sub)exponential convergence and explicit error bounds. The method is most promising when the computation of the prices is most challenging. We therefore investigate its combination with Monte Carlo simulation and analyze the effect of (stochastic) approximations of the interpolation. For a wide and important range of problems, the Chebyshev method turns out to be more efficient than parametric multilevel Monte Carlo. We conclude with a numerical efficiency study.     

R&D: the missing link between corporate social performance and financial performance?

Management Review Quarterly - The relationship between corporate social performance (CSP) and financial performance (CFP) has been analyzed for decades. Despite these efforts, the results remain...     

Do casinos pay their customers to become risk-averse? Revising the house money effect in a field experiment

The house money effect predicts that individuals show increased risk-seeking behavior in the presence of prior windfall gains. Although the effect’s existence is widely accepted, experimental studies that compare individuals’ risk-taking behavior using house money to individuals’ risk-taking behavior using their own money produce contradictory results. This experimental field study analyzes the gambling behavior of 917 casino customers who face real losses. We find that customers who received free play at the entrance showed not higher but significantly lower levels of risk-taking behavior during their casino visit, expressed through lower average wagers. This study thus provides field evidence against the house money effect. Moreover, as a result of lower levels of risk seeking, endowed customers yield better economic results in the form of smaller own-money losses when leaving the casino.     

The taxation of bonuses and its effect on executive compensation and risk‐taking: Evidence from the UK experience

This paper explores the effects of a bonus tax adopted in the UK in December 2009 on the compensation structure of executives and on risk‐taking behavior in the financial sector. Excessive bonuses are blamed for encouraging risk taking and are regarded as one of the pull factors of the financial crisis. The British government attempted to reduce bonuses and accordingly bank risk taking by means of a special tax on cash‐based bonuses. Using a comprehensive dataset on executive compensation, we show that the introduction of the bonus tax decreased the net cash bonuses awarded to directors by about 40%, accompanied, however, by a simultaneous increases in other forms of pay leaving total compensation as well as risk levels unaffected.     

Location factors of FDI and the growing services economy1

Foreign direct investment (FDI) has increasingly shifted toward the service sector. This change in the industrial composition of FDI and the non‐tradable nature of services may have altered the importance of location factors for investment decisions. To capture potential changes in FDI determinants, a contrasting sectoral analysis is performed. Based on FDI stock data from eight new EU member states for the period 1998–2004, we implement a dynamic panel approach allowing the speed of adjustment to the equilibrium investment level to vary across sectors. Results support our assumption that investment into the service sector, which is characterized by low installation costs, adjusts much faster to its desired level than manufacturing FDI. Thus, government interventions to attract FDI are likely to boost the service sector immediately while having a slower impact on manufacturing FDI. Furthermore, as services are mostly non‐tradable, FDI into this sector is largely based on market‐seeking motives while FDI in the manufacturing sector is also driven by international price competitiveness measured by real unit labour costs.     

Input versus output taxation in an experimental international economy

This paper presents the results of a policy oriented macroeconomic experiment involving an ‘international’ economy with a relatively small ‘home’ country and a large ‘foreign’ country. It compares the economic performance of two alternative tax systems: a wage tax system and a sales-tax-cum-labor-subsidy system. The two systems are applied to the small country, while the wage tax system always obtains in the large country. The main result is that the sales tax system outperforms the wage tax system, using standard economic indicators. Moreover, it turns out that under the sales tax system economic activities appear to be moving toward the ‘better’ of two theoretical equilibria. It is argued that producers’ reluctance to incur costs up-front while being uncertain about product prices can explain these results. Several pieces of evidence are provided to support this claim. The results strongly suggest that behavioral aspects should be taken into account also in applied macroeconomic models.