Data underlying the research for manuscript "The Role of CEO Biases and Heuristics for Large Firms’ Innovation"

doi: 10.4121/b503546d-87a3-4d44-b14c-0d510bbdf4c8.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/b503546d-87a3-4d44-b14c-0d510bbdf4c8
Datacite citation style:
Vlas, Cristina (2023): Data underlying the research for manuscript "The Role of CEO Biases and Heuristics for Large Firms’ Innovation". Version 1. 4TU.ResearchData. dataset.
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

While for a long time “out of the spotlight,” large firms’ innovation is unique in that it is more common and not such a high-risk strategy. This brings into the light overlooked antecedents such as the biases imposed by CEOs’ personality (narcissism and self-monitoring) and the heuristics driven by CEOs’ motivations (promotion and prevention foci) for certain courses of action. Do different CEO biases affect large firms’ innovation differently and to what extent are these effects bounded by CEOs’ heuristics? We find that narcissistic CEOs differ from self-monitoring CEOs when it comes to innovation. Further, these effects are conditioned by CEOs’ regulatory focus in that the interplay of personality and motivation matters for self-monitors, but it does not matter for narcissistic CEOs. We identify large science and engineering firms in pharmaceutical (SIC 283), communications (SIC 481) and software (SIC 737) industries. We use a number of sources to retrieve data: SEC (annual reports), Execucomp (compensation), LexisNexis (press releases), USPTO (patents and citations), Compustat (financials). Our final dataset is a panel of large firms analyzed between 2006 and 2012 inclusive.

  • 2023-09-13 first online, published, posted
  • None
University of Massachusetts Amherst, Isenberg School of Management


files (1)