Adoption of Online Grocery Shopping: Personal or Household Characteristics?

This article analyzes how sociodemographic characteristics impact the adoption of online grocery shopping, and relies on the Motivation-Opportunity-Ability (MOA) model to explore what these sociodemographics actually capture and how they are linked with consumer motivations. The researchers exploit a survey among 468 customers of Belgian supermarket chain Colruyt. Their logistic regression shows that while variables at the personal level do affect adoption of the online channel, consumers’ motivations to adopt in fact lie on the household level. In particular, the effect of age disappears or becomes less strong when it is combined with household characteristics. An examination of respondents’ self-reported motivations confirms that age does not only capture a person’s ability to use the technology but also its usefulness for that person’s household, in that age is correlated with the presence of young children and the working situation in the household.     

Optimal surveillance against foot‐and‐mouth disease: the case of bulk milk testing in Australia

Previous foot‐and‐mouth disease (FMD) outbreaks and simulation‐based analyses suggest substantial payoffs from detecting an incursion early. However, no economic measures for early detection have been analysed in an optimising framework. We investigate the use of bulk milk testing (BMT) for active surveillance against an FMD incursion in Australia. We find that BMT can be justified, but only when the FMD entry probability is sufficiently high or the cost of BMT is low. However, BMT is well suited for post‐outbreak surveillance, to shorten the length of time and size of an epidemic and to facilitate an earlier return to market.     

On the distribution of government bond returns: evidence from the EMU

This paper assesses the statistical distribution of daily EMU bond returns for the period 1999–2012. The normality assumption is tested and clearly rejected for all European countries and maturities. Although skewness plays a minor role in this departure from normality, it is mainly due to the excess kurtosis of bond returns. Therefore, we test the Student’s t, skewed Student’s t, and stable distribution that exhibit this feature. The financial crisis leads to a structural break in the time series. We account for this and retest the alternative distributions. A value-at-risk application underlines the importance of our findings for investors. In sum, excess kurtosis in bond returns is essential for risk management, and the stable distribution captures this feature best.     

On the Differential Effects of European Patents

Since the invention of the European Patent System, national patent systems have continued to co-exist, although they did lose appeal. How have the different national systems been affected in view of their characteristics? In order to answer this question a constant-market-share (CMS) analysis is carried out. While on a theoretical level, the different elements adding to the appeal of each patent system are discussed, the CMS-analysis reveals the importance of country size in that the national systems of smaller countries lose.     

A Risk-Return Analysis of a Firm's Working-Capital Position

In this paper, a method is proposed by which management is able to analyze the risk-return tradeoff for various levels of liquid assets for the firm and for different maturity compositions of its debt. Together, these factors determine its working-capital position. Certain probability concepts are employed; and information is provided about the risk of cash insolvency for alternative strategies. In addition, the opportunity costs of these strategies are determined. With the framework proposed, more rational working-capital decisions are possible. The firm is able to achieve a working-capital position that provides the appropriate margin of safety in relation to the cost involved in attaining that position     

Cities and cyberspace: new entrepreneurial strategies

E-commerce is increasingly influencing business operations, as a major supportive medium for different strategies or as a strategy on its own. This paper seeks to identify impacts from concomitant changes on the development of cities. To this purpose, emerging time-based strategies are analysed in manufacturing and customer-services strategies are analysed in the services sector. The focus of the study is on proximity needs and what these needs imply for elimination of physical segments from value chains and insertion of virtual segments into these chains. The findings are then linked with trends for agglomeration or spread of urban activity. The conclusion is that the future of cities is far from clear. Trends for agglomeration go hand in hand with trends for spread on different spatial levels. In addition, there are huge knowledge gaps. The paper concludes with suggestions for further research to fill these gaps.     

How much does household collateral constrain regional risk sharing?

We construct a new data set of consumption and income data for the largest US metropolitan areas, and we show that the extent of risk-sharing between regions varies substantially over time. In times when US housing collateral is scarce nationally, regional consumption is about twice as sensitive to income shocks. We also document higher sensitivity in regions with lower housing collateral. Household-level borrowing frictions can explain this new stylized fact. When the value of housing relative to human wealth falls, loan collateral shrinks, borrowing (risk-sharing) declines, and the sensitivity of consumption to income increases. Our model aggregates heterogeneous, borrowing-constrained households into regions characterized by a common housing market. The resulting regional consumption patterns quantitatively match those in the data.     

Crisis Management Competencies

Since public networks became widespread, doubts have arisen over how to make them succeed. Scholars have traditionally addressed the issue in different ways, thus variously shedding light on the network structure, mechanisms, or managers as predictors of the network performance. The aim of our article is to explore the possibility of an interaction effect between the abovementioned factors. Our results show that there may be a relationship between network structure, mechanisms, and managers that jointly affects network performance. Therefore, important suggestions can be made about how to manage public networks successfully: (1) ensure that your network mechanisms and managerial abilities are coherent with the structure of your network; and (2) if you are in a well-established and integrated network, allow yourself some flexibility. Data were collected through a multiple case study that focused on collaboration for joint provision of home care services in Switzerland.