With a little help from my friends? How learning activities and network ties impact performance for high tech startups in incubators

Diane M. Sullivan, Matthew R. Marvel and Marcus T. Wolfe

Technovation, 2021, vol. 101, issue C

Abstract: Drawing from the dynamic learning perspective of entrepreneurship, this paper investigates how entrepreneurs' learning activities and new venture performance (early sales and employee growth) are impacted by reliance on different network tie partners (strong and weak ties) for learning. Utilizing a sample of early-stage high technology ventures in incubators, we find weak ties help improve performance when utilized as a source of assistance in certain learning domains, but reduce performance when utilized as a source of help in other learning areas. The relationship between customer learning activities and employee growth is strengthened by entrepreneurs' reliance on weak ties for help with customer learning. On the other hand, the relationship between financial learning activities and employee growth is weakened by entrepreneurs’ reliance on weak ties for help with financial learning. By accounting for the complex interplay between both content (domain learning activity) and process attributes (tie reliance for learning), the paper contributes by developing and testing a theoretical framework more capable of explaining the dynamics of entrepreneurial learning.

Keywords: Technology ventures; Startups; Entrepreneur; Incubator; Network reliance; Weak ties; Strong ties; Entrepreneurial learning (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S016649722030081X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:techno:v:101:y:2021:i:c:s016649722030081x

DOI: 10.1016/j.technovation.2020.102209

Access Statistics for this article

Technovation is currently edited by Jonathan Linton

More articles in Technovation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().