The distribution of technological progress

The size distribution of the domains of US-patented technological knowledge obeys an exponential law, revealing a disproportionable concentration of progress among larger domains. Our analyses suggest that this phenomenon is explained by a combination of two factors. First, domains' trajectories of growth have inherently different potentials. Second, differences in domains' potentials are magnified by a mechanism—domains' self-hybridization—endogenous to the process of knowledge growth. Our results show that in addition to being stable, the observed distribution of technological progress is likely to arise under very general condition

The Ecology of Technological Progress: How Symbiosis and Competition Affect the Growth of Technology Domains

We show that the progress of technological knowledge is an inherently ecological process, wherein the growth rate of each technology domain depends on dynamics occurring in other technology domains. We identify two sources of ecological interdependence among technology domains. First, there are symbiotic interdependencies, implying that the rate of growth of one technology domain is driven by the advances made in other technology domains. Second, some technology domains compete with each other, implying that the rate at which a given technology domain advances varies inversely with the competitive pressure it receives from other technology domains. Based on all the technological knowledge patented in the United States between 1975 and 1999, we find statistical support for our argument and hypothese

Knowledge Specialization, Knowledge Brokerage and the Uneven Growth of Technology Domains

Why do certain domains of knowledge grow fast while others grow slowly or stagnate? Two distinct theoretical arguments hold that knowledge growth is enhanced by knowledge specialization and knowledge brokerage. Based on the notion of recombinant knowledge growth, we show that specialization and brokerage are opposing modes of knowledge generation, the difference between them lying in the extent to which homogeneous vs. heterogeneous input ideas get creatively recombined. Accordingly, we investigate how both modes of knowledge generation can enhance the growth of technology domains. To address this question, we develop an argument that reconciles both specialization and brokerage into a dynamic explanation. Our contention is that specializing in an increasingly homogeneous set of input ideas is both more efficient and less risky than brokering knowledge. Nevertheless, specializing implies progressively exhausting available recombinant possibilities, while brokerage creates new ones. Hence, technology domains tend to grow faster when they specialize, but the more specialized they become, the more they need knowledge brokerage to grow. We cast out our argument into five hypotheses that predict how growth rates vary across technology domain

The distribution of technological progress

The size distribution of the domains of US-patented technological knowledge obeys an exponential law, revealing a disproportionable concentration of progress among larger domains. Our analyses suggest that this phenomenon is explained by a combination of two factors. First, domains’ trajectories of growth have inherently different potentials. Second, differences in domains’ potentials are magnified by a mechanism—domains’ self-hybridization—endogenous to the process of knowledge growth. Our results show that in addition to being stable, the observed distribution of technological progress is likely to arise under very general condition

The evolving structure of the technological landscape

In this paper, we set out to analyse the evolving structure of the technological landscape on which our knowledge-based economies thrive. To this end, we develop a network-analytic model, which we use to characterise and study the evolving pattern of citations among all patents granted in the USA from 1975 to 1999. We find that (i) the structure of knowledge spillovers among technology domains features the distinguishing properties of a small world topology. However, (ii) during the 25 years observed there has been a consistent trend away from the small world topology, which (iii) is entirely explained by the disappearance of specialties encompassing multiple tightly interconnected technology domains. Our findings bear important strategic implications for both managers and policy maker

Knowledge specialization, knowledge brokerage, and the uneven growth of technology domains

Why do certain domains of knowledge grow fast while others grow slowly or stagnate? Two distinct theoretical arguments hold that knowledge growth is enhanced by, respectively, knowledge specialization and knowledge brokerage. Based on the notion of recombinant knowledge growth, we show that specialization and brokerage are opposing modes of knowledge generation, the difference between them lying in the extent to which homogeneous versus heterogeneous input ideas get creatively recombined. Accordingly, we investigate how both modes of knowledge generation can enhance the growth of technology domains. To address this question, we develop an argument that reconciles both specialization and brokerage into a dynamic explanation. Our contention is that specializing in an increasingly homogeneous set of input ideas is both more efficient and less risky than brokering knowledge. Nevertheless, specializing implies progressively exhausting available recombinant possibilities, while brokerage creates new ones. Hence, technology domains tend to grow faster when they specialize, but the more specialized they become, the more they need knowledge brokerage to grow. We cast out our argument into five hypotheses that predict how growth rates vary across technology domains. Based on all technological knowledge patented in the USA from 1975 to 1999, our hypotheses are corroborated

The ecology of technological progress: how symbiosis and competition affect the growth of technology domains

We show that the progress of technological knowledge is an inherently ecological process, wherein the growth race of each technology domain depends on dynamics occurring in other technology domains. We identify two sources of ecological interdependence among technology domains. First, there are symbiotic interdependencies, implying that the race of growth of one technology domain is driven by the advances made in other technology domains. Second, some technology domains compete with each other, implying that the race at which a given technology domain advances varies inversely with the competitive pressure it receives from other technology domains. Based on all the technological knowledge patented in the United States between 1975 and 1999, we find statistical support for our argument and hypotheses

A note on structural holes theory and niche overlap

Diffuse competition due to niche overlap between actors without (direct) ties with each other, constrains their structural autonomy. This is not dealt with in Burt’s mathematical model of his well-known structural holes theory. We fix his model by introducing a network measure of niche overlap