537
Views
30
CrossRef citations to date
0
Altmetric
Original Article

Interpersonal Social Networks and Internationalization of Traditional SMEs

Pages 658-691 | Received 29 Apr 2019, Accepted 29 Apr 2019, Published online: 04 Jan 2020
 

Abstract

This study aims to understand the role of interpersonal social networks in the international strategies of “traditional SMEs,” namely small firms that are “born local” and that operate in low‐tech and non‐knowledge‐intensive industries. Specifically, building on the social capital approach and the international entrepreneurship literature, this study investigates how the structure and the content of interpersonal social networks affect both the activities of exploration/exploitation of opportunities abroad, as well as the path and the performance of the internationalization processes in the pre‐entry and post‐entry phases. Results show the dynamics of internationalization as a “social embedded” endeavor, by highlighting heuristics and path‐dependent phenomena connected to the features of the interpersonal social networks. Findings contribute to the literature as to the decision‐making processes, the role of trust, and the possible negative effects generated by the structure and the content of the interpersonal social networks, including the market withdrawals.

Additional information

Notes on contributors

Barbara Masiello

Barbara Masiello is assistant professor at the University of Campania “L. Vanvitelli.”

Francesco Izzo

Francesco Izzo is full professor at the University of Campania “L. Vanvitelli.”

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 153.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.