Effects of media headlines on consumer preferences for food safety,quality and environmental attributes

In recent years, Asia has emerged as an important supplier of food to Western countries. In this study, we focus on shrimp, a major aquaculture commodity, to evaluate consumer willingness‐to‐pay (WTP) for enhanced food safety, use of antibiotics and eco‐friendly practices used in producing shrimp in the presence of country‐of‐origin labelling. Specifically, this research assesses the effects of news headlines regarding product safety, as information shocks on U.S. consumer demand. Consumers were found to have a mean willingness‐to‐pay of $7.81 per pound of shrimp with an enhanced safety characteristic from the United States, $0.94 for the same type of shrimp from China and $2.43 for similar shrimp from Thailand. Consumers had a WTP for the absence of antibiotics in the production of U.S. shrimp of $7.31 and were only willing to pay for an eco‐friendly attribute on domestically produced shrimp. Media headlines were found to have a statistically significant effect on consumer preferences and WTP for product characteristics. Food policy and international agribusiness implications of our findings are discussed.     

A virtual and anonymous, deliberative and analytic participation process for planning and evaluation: The Concept Mapping Policy Delphi

Integrating knowledge and values across a range of stakeholders and experts is a common goal of, and challenge in, forecasting and planning processes across numerous decision-making domains. In this paper we present a virtual and anonymous, deliberative and analytical participatory group process which we applied in a planning study. The process was a combination of concept mapping and a policy Delphi. The Concept Mapping Policy Delphi offers an iterative process that is meant to foster critical, dissensus-based thinking by a group about an evaluation problem. In particular, it offers a platform on which to structure the group brainstorming of ideas, integrates knowledge and values, and creates a shared conceptual framework for addressing evaluation problems. We discuss the merits and limitations of this process and compare it with other public engagement mechanisms for decision-making. We argue that the use of a Concept Mapping Policy Delphi is relevant in forecasting and decision-making processes that aim to integrate information which is from various disparate points of view in order to clarify arguments and values, democratize and mediate public participation, and/or provide strategic advice about scenarios or planning options, while mitigating the problematic aspects of face-to-face group processes.     

Different determinants at different times: B2B adoption of a radical innovation

This research aims to empirically determine which factors best explain business to business adoption of a radical, high-tech innovation early in the diffusion process. Early lifecycle data collection provides insights about the differences in determinants of adoption at different times in the product diffusion process. The results indicate that differences do exist between the determinants of early adoption, intent to adopt later, and unawareness of the innovation. The influencers of earliest adopters appear to be innovation-focused: the perceived benefits of the innovation as well as the strength of the producer network positively relate to early adoption; early adopters also tend to perceive the technology in the innovation as less different than previous technology than do those who intend to adopt later. The influence of a champion within the adopting firm, the ability of the firm to sense and respond to new technology, and the depth of technology knowledge within the adopting firm are significant influencers across multiple stages of diffusion, showing that firm-internal traits are particularly important influencers of adoption. Laggard firms are missing the critical firm traits that lead to information gathering and understanding of innovations. In addition to contributing to adoption research theory and methodology, this research has implications for innovation-marketing and innovation-adopting firms.     

Heterogeneity biases,distributional effects,and aggregate consumption: An empirical analysis using stratified microdata

Using stratified microdata from the Canadian FAMEX (78–86) surveys, this paper investigates whether observed heterogeneity in marginal propensities to consume across strata actually hinders the aggregation process. Despite significant heterogeneity in marginal responses, the divergences between aggregate predicted consumption and the predictions from a model that uses average strata responses are found to be small, whenever the strata demands are approximatively linear at the mean and the commodity group considered is not a luxury good. On the other hand, some cross-sectional estimates obtained by pooling the strata are shown to be contaminated by unwanted cross-moments. Further, the analysis reconciles the fact that while there exists significant heterogeneity in consumer demands, the related distributional effects in the aggregate equation have not been found to be important.     

Bricoleurs and boundary riders: managing basic research and innovation knowledge networks

A major focus of national and institutional research policies during the 1990s has been on improving linkages between publicly funded research activities and industry for the purpose of advancing economic and other national objectives. The transfer of scientific knowledge, however, within and between public research institutions, universities and other innovative organizations is taking place within rapidly changing organizational environments. The emergence of new organizational structures that transcend institutional boundaries, scientific disciplines and the boundaries between basic and applied research are all contributing to as well as responding to changes in the ways science intersects with industrial innovation.
Recent international evidence suggests that innovative organizations during the next decade will depend more on their ability to maintain quite complex organizational research linkages than on their internal organizational research capabilities. Case studies of the organizational approach adopted by companies and commercial-research agency consortia in China and Australia lead to a discussion of a typology of academic-industry alliances. The typology provides insights into different collaborative R&D management strategies associated with different forms of science-industry alliance.     

Predicting the cost of environmental management system adoption: the role of capabilities,resources and ownership structure

This research explores why some facilities accrue greater costs when adopting an environmental management system (EMS) and why costs vary among three different ownership structures. Using survey data of organizations that documented their EMS adoption costs over a 3‐year period, the results show that publicly traded facilities had stronger complementary capabilities prior to EMS adoption and therefore lower adoption costs. By contrast, government facilities and privately owned enterprises had fewer capabilities and accrued higher EMS adoption costs. The development of organizational capabilities and resources therefore appears to be a function of both organizational exploitation of imperfect or incomplete market factors, and the institutional context of these decisions. Copyright © 2006 John Wiley & Sons, Ltd.     

Approximation of Optimal Reinsurance and Dividend Payout Policies

We consider the stochastic process of the liquid assets of an insurance company assuming that the management can control this process in two ways: first, the risk exposure can be reduced by affecting reinsurance, but this decreases the premium income; and second, a dividend has to be paid out to the shareholders. The aim is to maximize the expected discounted dividend payout until the time of bankruptcy. The classical approach is to model the liquid assets or risk reserve process of the company as a piecewise deterministic Markov process. However, within this setting the control problem is very hard. Recently several papers have modeled this problem as a controlled diffusion, presuming that the policy obtained is in some sense good for the piecewise deterministic problem as well. We will clarify this statement in our paper. More precisely, we will first show that the value function of the controlled diffusion provides an asymptotic upper bound for the value functions of the piecewise deterministic problems under diffusion scaling. Finally it will be shown that the upper bound is achieved in the limit under the optimal feedback control of the diffusion problem. This property is called asymptotic optimality .     

Deriving target selection rules from endogenously selected samples

The selection of the most profitable customers in a customer database for targeted activities is often done based on observed behaviour in the past. Consequently, databases arising from the responses to, for example, direct mailings in the past are not random samples. When not all heterogeneity across customers is observed, target selection will be based on unobserved heterogeneity and hence it is endogenous. We develop a method to adjust the likelihood function of latent class models to correct for this endogenous sampling process. We apply this technique to the selection of mail targets for a Dutch charity. Based on a joint model for the response rate and the amount donated, we create a target selection rule that maximizes expected revenues. Copyright © 2006 John Wiley & Sons, Ltd.