Using laboratory experiments to study law and crime

The 19th and 20th centuries produced breakthroughs in physics, chemistry, and the biological sciences. Laboratory research played an important role in the rapid advances made in these fields. Laboratory research can also contribute progress in the social sciences and, in particular, to law and criminology. To make this argument, we begin by discussing what laboratory experiments can and cannot do. We then provide three illustrations of lab experiments that have contributed to understanding of crime and law and discuss how these laboratory data complement those gained through other methods.     

Upper echelons and portfolio strategies of venture capital firms

In this study we analyze how the composition of the top management team (TMT) influences the portfolio strategy choice in venture capital (VC) organizations. We develop a model of risk perception to investigate how education and experience of TMT members impact whether VC organizations invest with a focus on early stage ventures or not, specialize or diversify across industries, and invest with a broad or narrow geographic scope.Evaluation of data on TMTs and portfolio strategies of 136 European VC firms revealed that VC firms with higher proportions of TMT members with science/engineering education and entrepreneurial experience more likely invest with an early stage focus. Furthermore, TMTs with more management education diversify their portfolios more across industries. Finally, the more international experience TMT members of VC organizations have, the broader the geographic scope of investees. We discuss the implications of our findings for the VC literature.     

Evaluating the risk of patent infringement by means of semantic patent analysis: the case of DNA chips

In this paper, we are going to present a method for detecting the risks of patent infringement by evaluating similarities between patent documents on the basis of semantic patent analysis. This approach enables the user to visualize similarities in the contents on a semantic patent map by means of multi‐dimensional scaling. The effectiveness of the semantic patent map has already been demonstrated by Dressler (2006) with regard to patents of seal technology, in which documents are commonly kept short and the extracted contents are concise. This paper will open out to the field of biotechnology, where patents can easily comprise several hundreds of pages. The method presented here conveys an interdisciplinary approach and combines computer‐aided natural language processing with domain‐specific expertise of biochemical processes. This is illustrated by an authentic case of infringement involving two manufacturers of DNA chips. Our experiment will show how the infringement case is visualized on a patent map based on semantic patent analysis. This experiment can be compared with the search for a needle in a haystack, the two competitive patents representing significantly conflicting ‘needles.’ From an approximate number of 4,000 patents in the current US Class 435/6, a set of patents was selected that included the ‘needles’ mentioned. This paper will point out how such mutual interference can be detected by way of semantic patent analysis, and what advice may be given to R&D managers who are faced with the risk of patent infringement.     

A Delphi-based risk analysis — Identifying and assessing future challenges for supply chain security in a multi-stakeholder environment

Identifying and assessing the potential impact and likelihood of future events, which might evolve into risks, are a prerequisite to identify future security challenges. In particular, risks associated with global supply chains are special since they involve a multitude of international stakeholders with different perspectives on security needs and measures. Therefore, it is essential to determine which techniques and instruments are best suited for risk assessment in complex and multi-organizational environments. The Delphi expert survey technique has proven to be a valuable instrument for long-term decision making support as well as foresight, and has a potential value for risk assessment. We contribute to this research strand and conduct a Delphi-based risk analysis. Our research concentrates on man-made risks in global supply chains which are particularly uncertain in terms of type, location, and affected supply chain partners and can therefore be classified as inherently “wicked” issues, i.e. issues that are multidimensional with often unpleasant outcomes. We illustrate that Delphi research makes a fivefold contribution to risk analysis by: (1) identifying and quantifying risks; (2) analyzing stakeholder perceptions and worldviews; (3) stimulating a global communication process; (4) identifying weak signals, outlier opinions, and wildcards; (5) and facilitating risk scenario development.     

Losing sight of the trees for the forest? Attention allocation and anomalies

This paper tests asset pricing implications of the investor attention shift hypothesis proposed in theoretical work. We create a novel proxy for the dynamics of inattention towards firm-specific information and explore its impact on prominent return anomalies. As hypothesized and with all else equal, the proxy positively predicts the post-earnings announcement drift as well as the profitability of pairs trading, and negatively predicts the success of momentum strategies. Taken together, our findings highlight the importance of time-varying investor attention allocation for the price discovery process.     

Assessing the Effects of Certification Networks on Sustainable Production and Consumption: The Cases of FLO and FSC

Private governance approaches to foster sustainability have gained importance in recent years. The article focuses on such approaches that involve actors from different parts of the value chain, as well as consumers, labour unions, and NGOs. As these approaches rely on the certification mechanism to document the adherence to environmental and social standards, we refer to them as “certification networks.” The main objective of these networks is to realize more sustainable production and consumption patterns from within existing market structures. Concerning their impact on sustainability, however, existing research revealed mixed results. This raises the question, how to systematically assess the success of certification networks. Referring to debates on private governance, this paper proposes to consider structural–material (e.g., altered market and incentive structures) and regulative–normative effects (e.g., altered institutions). Taking this broader perspective, two cases are analysed: The Fairtrade Labelling Organization and the Forest Stewardship Council.