Adaptation and Social Networks in Information Technology Ventures: Evidence from a Randomized Experiment on a MOOC Platform

52 Pages Posted: 2 Mar 2015 Last revised: 17 Feb 2017

Charles E. Eesley

Stanford University - Management Science & Engineering

Lynn Wu

University of Pennsylvania - The Wharton School

Date Written: February 15, 2017

Abstract

Entrepreneurial activity is an important source of innovation in information technology products and services. Prior literature suggests that IT innovators should be agile, adaptive, willing to change direction frequently, and acquiring the necessary resources to facilitate the change. Social networks have been suggested as essential for acquiring information and resources and therefore in facilitating the venture development process. Yet, we know little about whether these adaptive processes could ultimately affect outcomes of IT ventures at the early stages and whether externally introduced changes in social networks can modulate the effect. With the ability to control presented content in a massively open online course (MOOC), we conduct a randomized field experiment that encourages students to either pursue an adaptive or a planning-based approach in building their startups and to seek mentors with different types of social networks. Measuring their performance at the end of the class and in a longer-term follow-up (two years later), we find that instructing entrepreneurs to have a strong, persistent vision for their startups often results in better performance at early stages. However, the disadvantages of adaptive strategies at early stages are mitigated by engaging a mentor with diverse social ties, and this strategy generates the best long-run outcomes (measured two years later). The results suggest that mentor selection -- and especially the social networks of the mentors -- are critical for achieving the benefits of agile product development.

Keywords: Social Networks, Entrepreneurship, MOOCs, Randomized Experiments

Suggested Citation

Eesley, Charles E. and Wu, Lynn, Adaptation and Social Networks in Information Technology Ventures: Evidence from a Randomized Experiment on a MOOC Platform (February 15, 2017). Available at SSRN: https://ssrn.com/abstract=2571777 or http://dx.doi.org/10.2139/ssrn.2571777

Charles E. Eesley

Stanford University - Management Science & Engineering ( email )

473 Via Ortega
Stanford, CA 94305-9025
United States
(740) 236-4653 (Phone)

HOME PAGE: http://www.stanford.edu/~cee

Lynn Wu (Contact Author)

University of Pennsylvania - The Wharton School ( email )

3733 Spruce Street
Philadelphia, PA 19104-6374
United States

Paper statistics

Downloads
240
Rank
105,461
Abstract Views
1,124