- This event has passed.
Research seminar with Assistant Professor Michelle Rogan
April 12, 2013 @ 12:00 pm - 1:15 pm
Michelle Rogan is an Assistant Professor of Entrepreneurship at INSEAD. She received her PhD in Strategic and International Management from the University of London (London Business School). Professor Rogan’s research centers on corporate entrepreneurship. In particular, she focuses on firm growth and renewal via acquisitions of social capital – i.e. how firms use acquisitions of target firms to gain valuable inter-organizational relationships to customers – suppliers and other business partners, in the advertising industry.
“Knowledge Networks, Partner Departures and Client tie Performance in a Law Firm”
Scholars have shown that the departures of individual managers can have negative consequences for the performance of the firm’s inter-organizational ties. Yet, variation exists in when and to what extent individual departures affect performance. To better understand this variation, we develop an internal knowledge network perspective on the impact of individual departures on tie performance. Using fine-grained original data from a large law firm, we examine the internal knowledge networks formed to maintain client ties. We propose that two characteristics of the networks – knowledge diversity and status conflict – modify the effect of client lead partner departures on the performance of client ties. Ironically, we find that the very characteristics that were associated with high performance of client ties before the partner’s departure were associated with the lowest performance post-departure. Thus, professional service firms appear to face a dilemma between encouraging the development of knowledge networks that deliver the greatest value to the firm when partner mobility is low and protecting the firm from performance losses associated with such networks when mobility is high. This study also contributes to research on network dynamics by showing how networks that contribute to performance under conditions of stability can detract from performance under conditions of change.