Long-run patterns in the discovery of the adjacent possible
基于创新作为搜索过程的理论框架，研究瑞典1908-2016年新产品引入的长期模式，发现创新率与累积创新线性相关，新产品类型发展遵循希普斯定律。
Abstract The notion of the “adjacent possible” has been advanced to theorize the generation of novelty across many different research domains. This study is an attempt to examine in what way the notion can be made empirically useful for innovation studies. A new theoretical framework is construed based on the notion of innovation as a search process where knowledge is recombined to discover the adjacent possible. The framework makes testable predictions about the rate of innovation, the distribution of innovations across organizations, and the rate of diversification of product portfolios. The empirical section examines how well this framework predicts long-run patterns of new product introductions in Sweden, 1908–2016, and explores the long-run evolution of the product space of Swedish organizations. The results suggest that, remarkably, the rate of innovation depends linearly on cumulative innovations, which explains advantages of incumbent firms but excludes the emergence of winner-take-all distributions. The results also suggest that the rate of development of new types of products follows Heaps’ law, where the share of new product types within organizations declines over time. Finally, the study also demonstrates that the structure of the Swedish product space carries important information about adjacent possible innovations.