Agarwal, Rajshree and Sonali Shah, (2014) Knowledge Sources of Entrepreneurship: Firm Formation by Employees, Users and Academics, Research Policy 43:7 pp. 1109-1133.
User entrepreneurs and academic entrepreneurs are more likely to disrupt early on in industry evolution. In the early stages, there is no industry knowledge yet because everything is new. In later stages, the threat to established firms comes from employee entrepreneurs because these employees have inside industry knowledge.
Ganco, Martin, Rosemarie Ziedonis and Rajshree Agarwal, More Stars Stay, But the Brightest Ones Still Leave: Job Hopping in the Shadow of Patent Enforcement, Strategic Management Journal (2015) 35:5 pp. 659-685.
Developing a reputation for enforcing non-competes diminishes the proclivity of inventive workers to job-hop. However, the best still leave. The strong enforcement leaves a firm with the least productive employees.
Thomas P. Moliterno, Nikolaus Beck, Christine M. Beckman, and Mark Meyer, Knowing Your Place: Social Performance Feedback in Good Times and Bad Times, Organization Science 201425:6, 1684-1702.
Organizations look to the top for aspirational peers but compare themselves to more modestly performing peers when looking down.
Taryn L., and Christine M. Beckman. (2014). “Watching You Watching Me: Boundary Control and Capturing Attention in the Context of Ubiquitous Technology Use.” Academy of Management Journal.
How should managers make sure employees are working and not, say, checking Facebook? The paper shows a tri-part strategy: reminding employees of what they should be doing, limiting their ability to access unapproved activities (e.g., Facebook), and tracking what they are doing. The paper dives deep and shows how these processes must be constant and work together to achieve results.
Rafael A. Corredoira, Preeta M. Banerjee, Measuring patent's influence on technological evolution: A study of knowledge spanning and subsequent inventive activity, Research Policy, Volume 44, Issue 2, March 2015, Pages 508-521.
The paper shows that patents that are most likely to influence technological trajectories for overtime combine previously uncombined knowledge domains. The best inventions make links that were not made before.