Bayesian Conjoint Choice Designs for Measuring Willingness to Pay

In this paper, we propose a new criterion for selecting efficient conjoint choice designs when the interest is in quantifying willingness to pay (WTP). The new criterion, which we call the WTP-optimality criterion, is based on the c-optimality criterion which is often used in the optimal experimental design literature. We use a simulation study to evaluate the designs generated using the WTP-optimality criterion and discuss the design of a real-life conjoint experiment from the literature. The results show that the new criterion leads to designs that yield more precise estimates of the WTP than Bayesian D-optimal conjoint choice designs, which are increasingly being seen as the state-of-the-art designs for conjoint choice studies, and to a substantial reduction in the occurrence of unrealistically high WTP estimates.     

Building absorptive capacity to organise inbound open innovation in traditional industries

The discussion on open innovation suggests that the ability to absorb external knowledge has become a major driver for competition. For R&D intensive large firms, the concept of open innovation in relation to absorptive capacity is relatively well understood. Little attention has; however, been paid to how both small firms and firms, which operate in traditional sectors, engage in open innovation activities. The latter two categories of firms often dispose of no, or at most a relatively low level of, absorptive capacity. Open innovation has two faces. In the case of inbound open innovation, companies screen their environment to search for technology and knowledge and do not exclusively rely on in-house R&D. A key pre-condition is that firms dispose of “absorptive capacity” to internalise external knowledge. SMEs and firms in traditional industries might need assistance in building absorptive capacity. This paper focuses on the role of collective research centres in building absorptive capacity at the inter-organisational level. In order to do so, primary data was collected through interviews with CEOs of these technology intermediaries and their member firms and analysed in combination with secondary data. The technology intermediaries discussed are created to help firms to take advantage of technological developments. The paper demonstrates that the openness of the innovation process forces firms lacking absorptive capacity to search for alternative ways to engage in inbound open innovation. The paper highlights the multiple activities of which absorptive capacity in intermediaries is made up; defines the concept of absorptive capacity as a pre-condition to open innovation; and demonstrates how firms lacking absorptive capacity collectively cope with distributed knowledge and innovation.     

Transition from authoritarian/totalitarian systems: Recent developments in Central and Eastern Europe in a comparative perspective

In this article the method of the comparative prognosis is used to compare the transitions from an authoritarian system to a democratic one in the countries of Southern Europe and Latin America with those of Central/Eastern Europe. Since such a comparison makes more sense in some areas than in others, a distinction is made between the realm of the nation-state, of economics and of politics. The aim of this exercise is to show what the countries of Central/Eastern Europe can learn from the experiences of the other two regions. What are the chances, but also what are the pitfalls of such a rapid transition to democracy and a market economy? Much attention is given here to the role of outsiders, and especially to the USA and the EC countries.     

Marketing, Reciprocity and Ethics

Manipulative behaviour towards people as instruments of profit rather than as sources of views, opinions and actions is not only unethical, but also constitutes bad marketing.     

Dutch Economists Top 40

There is a tradition in the Netherlands to publish an annual ranking of economic and business researchers working in Dutch universities. The most recent such ranking, published in 2013, emphasizes research quantity over research quality. We propose an alternative ranking based on quality. Important information about a researcher’s quality and impact is lost when moulding it to fit a template of numbers. Our ranking is no exception. Nevertheless, we argue and demonstrate that our ranking fits international consensus on research prominence and that the 2013 ranking does not.     

Servitization: Disentangling the impact of service business model innovation on manufacturing firm performance

As manufacturing businesses operate in an ever more competitive, global economy where products are easily commoditized, innovating by adding services to the core product offering has become a popular strategy. Contrary to the economic benefits expected, recent findings pinpoint implementation hurdles that lead to a potential performance decline, the so-called ‘servitization paradox’. In this paper, we analyze this paradox by disentangling the value creation and value appropriation processes of 44 national subsidiaries of a global manufacturing firm turned product-service provider, in the 2001–2007 period. Our findings show that the firm under study is able to successfully transcend the inherent substitution of products by services and to enact complementary sales dynamics between the two activities. Moreover, labor-intensive services such as maintenance, which imply higher levels of customer proximity, further enhance product sales. Empirical results also reveal a positive yet non-linear relationship between the scale of service activities and profitability: while initial levels of servicing result in a steep increase in profitability, a period of relative decline is observed before the positive relationship between the scale of services and profitability re-emerges. These findings suggest the presence of initial short-term gains but also indicate the existence of a ‘profitability’ hurdle; profitable growth seems feasible only to the extent that investments in service capability are translated into economies of scale. In helping to clarify the performance implications of service innovation, our findings suggest pathways to sustainable growth through servitization for manufacturing firms.     

Default options and training participation

This article analyzes whether defaults affect the choice for courses followed at work. In addition, we analyze whether the size of the default effect varies with employees’ personality and skill-deficiencies. We perform an experiment in which workers are hypothetically offered three courses which they can accept or exchange for other courses. Randomizing the default package of courses, we identify the default effect. Default courses are chosen approximately three times more often than other courses. They are chosen more often if people have skill-deficiencies in these courses, suggesting that people consider the default to be an advice. Women choose default courses more often than men. Women with less self-confidence and men with lower cognitive skills choose the default courses more often.     

A simple method for estimating preference parameters for individuals

This paper demonstrates a method for estimating logit choice models for small sample data, including single individuals, that is computationally simpler and relies on weaker prior distributional assumptions compared to hierarchical Bayes estimation. Using Monte Carlo simulations and online discrete choice experiments, we show how this method is particularly well suited to estimating values of choice model parameters from small sample choice data, thus opening this area to the application of choice modeling. For larger sample sizes of approximately 100–200 respondents, preference distribution recovery is similar to hierarchical Bayes estimation of mixed logit models for the examples we demonstrate. We discuss three approaches for specifying the conjugate priors required for the method: specifying priors based on existing or projected market shares of products, specifying a flat prior on the choice alternatives in a discrete choice experiment, or adopting an empirical Bayes approach where the prior choice probabilities are taken to be the average choice probabilities observed in a discrete choice experiment. We show that for small sample data, the relative weighting of the prior during estimation is an important consideration, and we present an automated method for selecting the weight based on a predictive scoring rule.