Asymmetric Type Recognition with Applications to Dilemma Games

I analyze a model of a special form of information asymmetry, namely that players can recognize whether the other players are of their own type or of a different type, without knowing which particular type. If more than two types are present in the population, this implies that knowledge about other players depends both on the own type and on that of the other players. The analysis of two examples, a prisoner’s dilemma and a trust game, shows that this form of information asymmetry can lead to the same results as complete information, while based on less demanding information conditions.     

Revisiting the imitation assumption: Why imitation may increase,rather than decrease,performance heterogeneity

Research Summary: Imitation is a central construct in strategy theory because it is assumed to diminish inter‐firm performance heterogeneity within an industry. We revisit this assumption, which is premised on the logic that imitated practices act directly to make the imitator more similar to its target. This logic is incomplete because imitation also acts indirectly—via its effect on an imitator's post‐imitation experiential learning efforts through which it refines imitated practices and fills remaining knowledge gaps. We examine how an imitator's focus of attention during this post‐imitation experiential learning process impacts performance heterogeneity. Employing a computational model, we contrast the heterogeneity resulting from imitative entry with that from de novo (non‐imitative) entry and identify conditions under which imitation may increase, rather than decrease, inter‐firm performance heterogeneity. Managerial Summary: Imitation is commonly assumed to be a low‐risk strategy by which firms can narrow the performance gap to the market leader. This assumption is predicated on an understanding of imitation that neglects the impact of imitation on subsequent, post‐imitation, learning. Such learning serves to refine the imitated practices and fill remaining knowledge gaps. Our theory suggests that imitation is more risky than is typically assumed. Imitation leads to bifurcated performance outcomes. An imitator is more likely to: (a) catch up to the market leader, and (b) perform far worse than it would have without imitation. Key factors driving the riskiness of imitation are the observability of the market leader's practices and an imitator's decision regarding its focus of attention in post‐imitation learning.     

I can do that alone…or not? How idea generators juggle between the pros and cons of teamwork

Research summary: The advantages of working with a team to develop an idea are well established, but surprisingly, little is known about why some idea generators ignore these advantages by developing their ideas alone. To answer this question, we study two important trade‐offs. First, working with a team provides access to additional resources but also leads to increased coordination costs. Second, sharing the risks and costs of developing an idea necessitates sharing the potential rewards of a successful idea. We use unique data on idea generators and their submission of ideas to an innovation program in a large European company between 1996 and 2008 to show how the two different trade‐offs affect the decision of idea generators to collaborate with a team. Managerial summary: Organizations usually form teams to develop and execute innovative ideas. When people have the choice, however, will they also form a team or will they develop ideas alone? By studying idea generators and their voluntary submissions of breakthrough ideas to an innovation program, we find that the success rate is much higher for team ideas. Although teamwork has important benefits, idea generators will often develop incremental ideas alone and only accept increased coordination costs for developing radical ideas—this is even more so when they have prior team experiences. Moreover, only when idea generators were successful before and—even more so—when they developed that idea alone, will they be more open to sharing the rewards and risks of developing another idea with a team.     

Object-oriented econometrics: Matrix programming in C++ using GCC and newmat

Object-oriented programming using C++ offers features that can be as beneficial for econometricians as they are for other programmers. This review considers the standard programming paradigm and then discusses object-oriented programming, in particular the C++ language. Both GCC, a C++ compiler available free of charge from the GNU Project, and the newmat matrix class library are reviewed. An example of a simple econometric program in C++ that uses newmat is included. © 1996 John Wiley & Sons, Ltd.     

Public Affairs Management Activities of German Multinational Corporations in India

In this paper the importance of public affairs management in multinational corporations in India will be examined. After briefly discussing the state of the art in international business and society literature, a conceptual framework for public affairs management in multinational corporations will be developed. This framework serves as the theoretical basis for an empirical study among German multinational corporations in India. In the main part of this paper the results of this study will be presented and discussed. The paper ends with a critical assessment and some major implications for future studies.     

Attention,indifference, dislike,action: Web advertising involving users

Since advertising banners in Web pages usually do not relate to the users' interests, banners are often rejected. Much effort has been spent on trying to adapt banners to users. While the usual approach is to try to accomplish that by gathering data about the user, we propose a different approach. Using user‐configurable advertising profiles and direct feedback we give full control to the users themselves. This approach is currently being implemented and evaluated in the context of an Internet TV program guide. This revised version was published online in June 2006 with corrections to the Cover Date.     

Comparing supply‐side specifications in models of global agriculture and the food system

This article compares the theoretical and functional specification of production in partial equilibrium (PE) and computable general equilibrium (CGE) models of the global agricultural and food system included in the AgMIP model comparison study. The two model families differ in their scope—partial versus economy‐wide—and in how they represent technology and the behavior of supply and demand in markets. The CGE models are “deep” structural models in that they explicitly solve the maximization problem of consumers and producers, assuming utility maximization and profit maximization with production/cost functions that include all factor inputs. The PE models divide into two groups on the supply side: (1) “shallow” structural models, which essentially specify area/yield supply functions with no explicit maximization behavior, and (2) “deep” structural models that provide a detailed activity‐analysis specification of technology and explicit optimizing behavior by producers. While the models vary in their specifications of technology, both within and between the PE and CGE families, we consider two stylized theoretical models to compare the behavior of crop yields and supply functions in CGE models with their behavior in shallow structural PE models. We find that the theoretical responsiveness of supply to changes in prices can be similar, depending on parameter choices that define the behavior of implicit supply functions over the domain of applicability defined by the common scenarios used in the AgMIP comparisons. In practice, however, the applied models are more complex and differ in their empirical sensitivity to variations in specification—comparability of results given parameter choices is an empirical question. To illustrate the issues, sensitivity analysis is done with one global CGE model, MAGNET, to indicate how the results vary with different specification of technical change, and how they compare with the results from PE models.