Information Technology and the Dynamics of Joint Innovation

We develop a model of an innovative industry to examine how information technology, by both enhancing matching efficiency and knowledge sharing, can have an ambiguous effect on the total amount of innovation. We consider a population of firms holding different knowledge expertise, and forming partnerships to conduct joint R&D. We assume that bringing together different expertise has positive value for innovating but also that joint innovation implies a partial convergence of the partners'' expertise. We study how the distribution of firms changes and thus how the innovative potential of the economy evolves. We show that as heterogeneity is used as an input by the innovative process, the industry must eventually collapse to a unique expertise, but how fast this takes place depends on the quality of IT. As a result of falling dispersion, a tension arises between static and dynamic efficiency. JEL Classification Numbers: C78,O33,O38.mathematical economics and econometrics ;

If the Alliance Fits . . . : Innovation and Network Dynamics.

Network formation is often said to be driven by social capital considerations. A typical pattern observed in the empirical data on strategic alliances is that of small world networks: dense subgroups of firms interconnected by (few) clique-spanning ties. The typical argument is that there is social capital value both to being embedded in a dense cluster, and to bridging disconnected clusters. In this paper we develop and analyze a simple model of joint innovation where we are able to reproduce these features, based solely on the assumption that successful partnering demands some intermediate amount of similarity between the partners.

Social Sorting

This paper is about the behaviour of a society in which learning individuals play a Prisoner’s Dilemma that guides social promotion and demotion. The direct effect of the payoff-based socialization that is implemented here is segregation. However, segregation permits the survival of cooperation as it (unintendedly) preserves cooperators from detrimental interactions with defectors. Very large amounts of cooperation can be observed in the long run.microeconomics ;

Merit, Approbation and the Evolution of Social Structure

In this paper we study a society in which individuals gain utility from income and from social approbation. Income is correlated with class. Approbation is given to an unobservable trait, which must be signalled through the agent’s social mobility, i.e. class change. Mobility is driven by a simple mechanism involving inheritance, effort and ability. Thus social structure (class composition) is affected by individuals’ quest for approbation, and we study how that affects the emergence and multiplicity of long run social organizations, including hybrid forms of dynasties and meritocracies. Specifically we observe that even though social mobility is driven purely by a meritocratic mechanism, pure dynasties can emerge. We then introduce a feedback between the size of the upper class and its income value, so that effort levels and social structure are jointly endogenous. We derive results on equilibrium effort levels and stationary (when they exist) social structures. Social organization can converge to a unique steady state, multiple long run equilibria or cycles.Economics of Technology;

Structural Holes, Innovation and the Distribution of Ideas

We model knowledge diffusion in a population of agents situated on a network, interacting only over direct ties. Some agents are by nature traders, others are by nature "givers": traders demand a quid pro quo for information transfer; givers do not. We are interested in efficiency of diffusion and explore the interplay between the structure of the population (proportion of traders), the network structure (clustering, path length and degree distribution), and the scarcity of knowledge. We find that at the global level, trading (as opposed to giving) reduces efficiency. At the individual level, highly connected agents do well when knowledge is scarce, agents in clustered neighbourhoods do well when it is abundant. The latter finding is connected to the debate on structural holes and social capital.Innovation, Diffusion of Innovations, Knowledge, Information, Networks

If the Alliance Fits . . . : Innovation and Network Dynamics

Network formation is often said to be driven by social capital considerations. A typical pattern observed in the empirical data on strategic alliances is that of small world networks: dense subgroups of firms interconnected by (few) clique-spanning ties. The typical argument is that there is social capital value both to being embedded in a dense cluster, and to bridging disconnected clusters. In this paper we develop and analyze a simple model of joint innovation where we are able to reproduce these features, based solely on the assumption that successful partnering demands some intermediate amount of similarity between the partners.Network formation, Strategic alliances, Knowledge portfolios, Knowledge transfer