Measuring Corporate Culture Using Machine Learning

Kai Li, Feng Mai, Rui Shen, Xinyan Yan

Research output: Contribution to journalArticlepeer-review

312 Scopus citations

Abstract

We create a culture dictionary using one of the latest machine learning techniques - the word embedding model - and 209,480 earnings call transcripts. We score the five corporate cultural values of innovation, integrity, quality, respect, and teamwork for 62,664 firm-year observations over the period 2001-2018. We show that an innovative culture is broader than the usual measures of corporate innovation - R&D expenses and the number of patents. Moreover, we show that corporate culture correlates with business outcomes, including operational efficiency, risk-taking, earnings management, executive compensation design, firm value, and deal making, and that the culture-performance link is more pronounced in bad times. Finally, we present suggestive evidence that corporate culture is shaped by major corporate events, such as mergers and acquisitions.

Original languageEnglish
Pages (from-to)3265-3315
Number of pages51
JournalReview of Financial Studies
Volume34
Issue number7
DOIs
StatePublished - 1 Jul 2021

Fingerprint

Dive into the research topics of 'Measuring Corporate Culture Using Machine Learning'. Together they form a unique fingerprint.

Cite this