Publications Database

Welcome to the new Schulich Peer-Reviewed Publication Database!

The database is currently in beta-testing and will be updated with more features as time goes on. In the meantime, stakeholders are free to explore our faculty’s numerous works. The left-hand panel affords the ability to search by the following:

  • Faculty Member’s Name;
  • Area of Expertise;
  • Whether the Publication is Open-Access (free for public download);
  • Journal Name; and
  • Date Range.

At present, the database covers publications from 2012 to 2020, but will extend further back in the future. In addition to listing publications, the database includes two types of impact metrics: Altmetrics and Plum. The database will be updated annually with most recent publications from our faculty.

If you have any questions or input, please don’t hesitate to get in touch.

 

Search Results

Keyhani, M., Deutsch, Y., Madhok, A. and M. Lévesque (2022). "Exploration-Exploitation and Acquisition Likelihood in New Ventures", Small Business Economics, 58(3), 1475-1496.

View Paper

Keywords
Abstract The market for acquisitions has been a blind spot in exploration-exploitation research in the new venture context. The introduction of the acquisition exit outcome as a performance dimension for new ventures, especially among high-tech ventures, shifts the traditional temporal logic of exploration-exploitation theory by introducing previously unacknowledged short-term benefits of exploration. We bring the acquisition outcome into the picture and investigate the relationship between the exploration-exploitation continuum and profitability, survival, and acquisition likelihood simultaneously. Using the Kauffman Firm Survey data, we provide evidence for a link between exploration and the likelihood of acquisition (defined as the business being sold to or merged with another business), although industry technology level poses a boundary condition such that the association is not observed in low- and medium-technology firms. An inverse U-shaped relationship that is monotone negative for most of the data range was found between exploration and the profitability of low- and medium-tech firms, and a negatively linear relationship was found for exploration and the profitability of high-tech firms. Our findings lend some support to the viability of “born to flip” strategies involving comparatively higher exploration levels in high-tech start-ups and sacrifice of short-term profitability.