‘No-choice’ options within a nested logit model: one model is insufficient

We examine the impact of providing a ‘no-choice’ option in attribute-based valuation experiments. The aim of the experiment was to assess monetary values of cockle fishery management practices in the Dutch Wadden Sea for different stakeholder groups, namely Dutch citizens, local residents and tourists. The current policy debate about the management of the Wadden Sea stresses the fact that individual preferences with respect to cockle-fishery differ. The aim of this article is to analyse the individual preferences in a objective way. Special attention is given to the influence of including a ‘no-choice option’, which is analysed using a nested logit model. We test whether the full set of options can be considered as close substitutes. The estimation results show that the influence of including the no-choice option differs among the stakeholders considered.     

Understanding Dutch visitors’ motivations to concentration camp memorials

This study examined the motivations to visit concentration camp memorial sites in the Netherlands. Nine hundred and seventy-five Dutch respondents participated in a panel survey. The data were analysed by means of an exploratory factor analysis, to yield underlying motivational factors. The findings revealed that potential visitors were motivated to visit Holocaust concentration camp memorial sites for “memory”, “gaining knowledge and awareness”, and “exclusivity”. We generalize the motivations from Dutch concentration camp memorial sites to a universal level and discuss the future stages to achieve a universally valid motivation scale for visits to concentration camp memorial sites.     

Baywatch: Two approaches to measure the effects of blocking access to The Pirate Bay

In the fight against unauthorised sharing of copyright protected material, Dutch Internet Service Providers have been summoned by courts to block their subscribers' access to The Pirate Bay and related sites. This paper studies the effectiveness of this approach towards online copyright enforcement, using both a consumer survey and a newly developed non-infringing technology for BitTorrent monitoring. While a small group of respondents download less from illegal sources or claim to have stopped doing so, no impact is found on the percentage of the Dutch population downloading from illegal sources. Slight changes are found on the distribution of Dutch peers, but these seem related to the awareness raised by blocking rather than the blocking itself.     

Energy Conservation More Effective With Rebound Policy

This article sketches the problem of indirect energy use effects, also known as rebound, of energy conservation. There is widespread support for energy conservation, especially when it is voluntary, as this seems a cheap way to realize environmental and energy-climate goals. However, this overlooks the phenomenon of rebound. The topic of energy rebound has mainly attracted attention from energy analysts, but has been surprisingly neglected in environmental economics, even though economists generally are concerned with indirect or economy-wide impacts of technical change and policies. This paper presents definitions and interpretations of energy and environmental rebound, as well as four fundamental reasons for the existence of the rebound phenomenon. It further offers the most complete list of rebound pathways or mechanisms available in the literature. In addition, it discusses empirical estimates of rebound and addresses the implications of uncertainties and difficulties in assessing rebound. Suggestions are offered for strategies and public policies to contain rebound. It is advised that rebound evaluation is an essential part of environmental policy and project assessments. As opposed to earlier studies, this paper stresses the relevance of the distinction between energy conservation resulting from autonomous demand changes and from efficiency improvements in technology/equipment. In addition, it argues that rebound is especially relevant for developing countries.     

A tale of values-driven and profit-seeking social investors

The segmentation of the socially responsible investing (SRI) movement with a values-versus-profit orientation solves the puzzling evidence that both socially responsible and controversial stocks produce superior returns. We derive that the segment of values-driven investors primarily uses “negative” screens to avoid controversial stocks, while the profit-driven segment uses “positive” screens. As the result of an empirical analysis over the period 1992-2008, we base our segmentation on investment screens that help us to examine whether values affect prices. We find that, although the profit-driven segment earns abnormal returns in the short run, these profit-generating opportunities do not persist in the long run for SRI stocks. However, our conclusions highlight the observation that different views on SRI can be complementary in the short run.     

Strategic Value Assessment and Explorative Learning Opportunities with Customers

This study recognizes that collaboration with customers for new product development may bring important financial benefits to firms, but at the same time may seriously hamper explorative learning. Many firms are approached by customers with requests to develop new products for them. While such requests may strengthen customer relationships and result in short‐term financial gains, it may force a firm in technologically undesirable directions. As a result, many firms struggle with the dilemma of, on the one hand, responding to customer requests, and on the other hand, safeguarding the long‐term competitive position of the firm. Firms with strong customer ties are particularly prone to this dilemma. Drawing on opportunity recognition literature, capability monitoring literature as well as goal setting theory, the authors have developed a framework arguing that Strategic Value Assessment (SVA) can help resolve this. SVA is defined as an a priori business evaluation of the value of a particular innovation collaboration, based on anticipated long‐term strategic benefits. It helps innovative firms to focus on collaboration with customers with lead user status and to develop intense relationships, allowing for more effective knowledge transfer and learning. The framework is tested using data collected from a sample of 136 business‐to‐business firms in the Netherlands. The sampling frame was a panel of small and medium‐sized high‐tech enterprises. The study finds positive direct and indirect effects of SVA on explorative learning. In addition, the findings show that the intense collaboration/learning relationship is positively moderated by customer lead user status, and negatively moderated by customer dependence. The findings suggest that SVA is a useful heuristic for managers to utilize opportunities for innovation involving collaboration with customers.     

Model-supported business-to-business prospect prediction based on an iterative customer acquisition framework

This article discusses a model designed to help sales representatives acquire customers in a business-to-business environment. Sales representatives are often overwhelmed by available information, so they use arbitrary rules to select leads to pursue. The goal of the proposed model is to generate a high-quality list of prospects that are easier to convert into leads and ultimately customers in three phases: Phase 1 occurs when there is only information on the current customer base and uses the nearest neighbor method to obtain predictions. As soon as there is information on companies that did not become customers, phase 2 initiates, triggering a feedback loop to optimize and stabilize the model. This phase uses logistic regression, decision trees, and neural networks. Phase 3 combines phases 1 and 2 into a weighted list of prospects. Preliminary tests indicate the good quality of the model. The study makes two theoretical contributions: First, the authors offer a standardized version of the customer acquisition framework, and second, they point out the iterative aspects of this process.     

How private is private information? The ability to spot deception in an economic game

We provide experimental evidence on the ability to detect deceit in a buyer–seller game with asymmetric information. Sellers have private information about the value of a good and sometimes have incentives to mislead buyers. We examine if buyers can spot deception in face-to-face encounters. We vary whether buyers can interrogate the seller and the contextual richness. The buyers’ prediction accuracy is above chance, and is substantial for confident buyers. There is no evidence that the option to interrogate is important and only weak support that contextual richness matters. These results show that the information asymmetry is partly eliminated by people’s ability to spot deception.     

Industrial statistics: a discipline with opportunities and challenges

The development of industrial statistics as a scientific discipline, as well as its contributions to improving quality and efficiency in modern industry are discussed. Furthermore, the nature, purpose, and research paradigm of scientific research in industrial statistics are profiled. These accounts form the basis for a discussion of the discipline's future and key elements therein.     

A Firm-Specific Analysis of the Exchange-Rate Exposure of Dutch Firms

We examine the relationship between exchange‐rate changes and stock returns for a sample of Dutch firms over 1994–1998. We find that over 50 per cent of the firms are significantly exposed to exchange‐rate risk. Furthermore, all firms with significant exchange‐rate exposure benefit from a depreciation of the Dutch guilder relative to a trade‐weighted currency index. This result confirms that firms in open economies, such as the Netherlands, exhibit significant exchange‐rate exposure. We collect unique information on the most relevant individual currencies for each firm with respect to their influence on firm value. Our results indicate that the use of a trade‐weighted currency index and the use of individual exchange rates are complements. We also measure the determinants of exchange‐rate exposure. As expected, we find that firm size and the foreign sales ratio are significantly and positively related to exchange‐rate exposure. In contrast with our hypothesis, off‐balance hedging using derivatives has no significant effects. Finally, in line with theory, we find that exposure is significantly reduced through on‐balance sheet hedging, i.e., through foreign loans and by producing in factories abroad.