Disseminating knowledge to build a learning organization

In recent years the learning organization has become popular in the management literature but the extent to which staff typically obtain access to the information they need for enhanced learning is not well understood. This paper examines the access to information experienced by staff within a New Zealand company in terms of the topics on which information is received and the sources from which information comes. The results show significant divisions within the company on status grounds for information that is currently received. Nevertheless, no such divisions were found for the information that is sought. Limitations appeared more obviously with regard to formal information sources (for which the company is responsible) than for the informal sources (which the individual finds it easier to access). Implications for companies aspiring to strengthen their capacity to learn are briefly discussed.     

Improving the performance of random coefficients demand models: The role of optimal instruments

We shed new light on the performance of Berry, Levinsohn and Pakes’ (1995) GMM estimator of the aggregate random coefficient logit model. Based on an extensive Monte Carlo study, we show that the use of Chamberlain’s (1987) optimal instruments overcomes many problems that have recently been documented with standard, non-optimal instruments. Optimal instruments reduce small sample bias, but they prove even more powerful in increasing the estimator’s efficiency and stability. We consider a wide variety of data-generating processes and an empirical application to the automobile market. We also consider the gains of other recent methodological advances when combined with optimal instruments.     

Old technology meets new technology: complementarities,similarities, and alliance formation

Alliance formation is commonplace in many high‐technology industries experiencing radical technological change, where established firms use alliances with new entrants to adapt to technological change, while new entrants benefit from the ability of established players to commercialize the new technology. Despite the prevalence of these alliances, we know little about how these firms choose to ally with specific firms given the range of possible partners they may choose from. This study explores factors that lead to alliance formation between pharmaceutical and biotechnology companies. We focus on the alliance tie as the unit of analysis and argue that dyadic complementarities and similarities directly influence alliance formation. We then introduce a contingency model in which the positive effect of complementarities and similarities on alliance formation is moderated by the age of the new technology firm. We draw theoretical attention to the intersection between levels of analysis, in particular, the intersection between dyadic and firm‐level constructs. We find that a pharmaceutical and a biotechnology firm are more likely to enter an alliance based on complementarities when the biotechnology firm is younger. Another noteworthy finding is that proxies for broad capabilities appear to be at least as effective, if not more so, in predicting alliance formation compared to fine‐grained science and technology‐related indicators, like patent cross‐citations or patent common citations. We conclude by suggesting that future studies on alliance formation need to take into account interactions across levels; for example, how dyadic capabilities interact with firm‐level factors, and the advantages and disadvantages of more or less fine‐grained measures of organizational capabilities. Copyright © 2007 John Wiley & Sons, Ltd.     

Choice, price competition and complexity in markets for health insurance

The United States and other nations rely on consumer choice and price competition between competing health plans to allocate resources in the health sector. While a great deal of research has examined the efficiency consequences of adverse selection in health insurance markets, less attention has been devoted to other aspects of consumer choice. The nation of Switzerland offers a unique opportunity to study price competition in health insurance markets. Switzerland regulates health insurance markets with the aim of minimizing adverse selection and encouraging strong price competition. We examine consumer responses to price differences in local markets and the degree of price variation in local markets. Using both survey data and observations on local markets we obtain evidence suggesting that as the number of choices offered to individuals grows, their willingness to switch plans given a set of price dispersion differences declines, which allows large price differences for relatively homogeneous products to persist. We consider explanations for this phenomenon from economics and psychology.     

Integrated basin management: Water and food policy options for Turkey

This paper presents a basin scale analysis of the Nilüfer River Basin of Turkey, where agricultural, urban, and environmental users compete for scarce water in an environment where climate change and food security present large and growing challenges. It presents results of a basin scale dynamic nonlinear programming model that addresses economic efficiency, climate change, and food security. Its approach can be applied to other water-stressed regions operating in environments of economic and hydrologic constraints on water use. Basin scale modeling approach provides a general framework for formulating water management policies, consistent with the principles underlying the European Union Water Framework Directive.     

Optimal dynamic scale and structure of a multi-pollution economy

We analyze the optimal dynamic scale and structure of a two-sector-economy, where each sector produces one consumption good and one specific pollutant. Both pollutants accumulate at different rates to stocks which damage the natural environment. This acts as a dynamic driving force for the economy. Our analysis shows that along the optimal time path (i) the time scale of economic dynamics is mainly determined by the lifetime of pollutants, their instantaneous harmfulness and the discount rate; (ii) economic scale and structure, as well as resulting welfare, may be non-monotonic, and (iii) environmental damage may exhibit an inverted U-shape form. These results raise important questions about the optimal design of environmental policies in a multi-pollution economy. We suggest a system of dynamic Pigouvian emission taxes, each of which should be levied specifically on one particular pollutant. We show that the optimal time path of each tax level is determined by the characteristics not only of that particular pollutant but also of all other pollutants.     

Distributed Visual Language Environments for Cooperation and Learning: Applications and Intelligent Support

An increasing number of collaborative learning environments is based on shared workspace systems using two-dimensional graph-structured visual representations such as argumentation networks and concept maps. We propose an integrated framework that allows for flexibly specifying a wide range of visual languages and plugging in components for operational semantics, adequate feedback and intelligent support. The generic application CardBoard provides card-based user interaction and collaboration by means of different languages in shared workspaces. To enhance modifiability, the interfaces between the distributed heterogeneous system components, particularly between intelligent components and user interfaces, have been standardised.     

Technical nomenclature,everyday language,and consumer inference

Marketing Letters - The use of technical language in marketing communications has more complex effects than what the previous research suggests. Three studies show that the effect of technical...