Economics Insights @ CBS

This study investigates the impact of early relationships on innovation at entrepreneurial firms. Prior research has largely focused on the benefits of network ties, documenting the many advantages that accrue to firms embedded in a rich network of interorganizational relationships. In contrast, we build on research emphasizing potential drawbacks to examine how competitive exposure, enabled by powerful intermediaries, can inhibit innovation.

The current research used the contexts of U.S. presidential debates and negotiations to examine whether matching the linguistic style of an opponent in a two-party exchange affects the reactions of third-party observers. Building off communication accommodation theory (CAT), interaction alignment theory (IAT), and processing fluency, we propose that language style matching (LSM) will improve subsequent third-party evaluations because matching an opponent's linguistic style reflects greater perspective taking and will make one's arguments easier to process.

This paper studies the long-term effect of hedge fund activism on the productivity of target firms using plant-level information from the U.S. Census Bureau. A typical target firm improves its production efficiency within three years after the intervention, and this improvement is pronounced in industries with low concentration. By following plants that were sold post-intervention we also find that efficient capital redeployment is an important channel via which activists create value.

We present an end-to-end text mining methodology for relation extraction of adverse drug reactions (ADRs) from medical forums on the Web. Our methodology is novel in that it combines three major characteristics: (i) an underlying concept of using a head-driven phrase structure grammar (HPSG) based parser; (ii) domain-specific relation patterns, the acquisition of which is done primarily using unsupervised methods applied to a large, unlabeled text corpus; and (iii) automated post-processing algorithms for enhancing the set of extracted relations.