In this paper, we explore how an industry’s watershed moments – vivid, publically salient, emotionally resonant events – can drive the emergence of a new market. Our empirical context is the New Space market, a growing number of new, private companies developing and using spaceflight-access technologies. …Read More
Adding to the literature on the recognition and spread of ideas, and alongside the bias against novelty view documented in prior research, we introduce the perspective that articles compete for the attention of researchers who might build upon them. …Read More
Can machine learning techniques be used to predict high-impact, general technologies? We find that an ensemble of deep learning models that analyze both the text of patents as well as their bibliometric information can ex-ante identify such patents, accurately identifying 80 of the top 100 high generality patents in the hold-out sample. …Read More
Mental models, reflecting interdependencies among managerial choice variables, are not always correctly specified. Mental models can be underspecified, missing interdependencies, or overspecified, containing nonexistent interdependencies.…Read More
