The Company You Keep: How Network Disciplinary Diversity Enhances the Productivity of Researchers

Abstract

The Covid-19 pandemic has affected most organizations’ working environment and productivity. Organizations have had to make arrangements for staff to operate remotely following the implementation of lockdown regulations around the world, as the pandemic has led to restrictions on movement and the temporary closure of workplace premises. The purpose of this paper is to gain a deeper understanding of the effect of this transition on productivity during the pandemic, by studying a distributed network of research who collaborate remotely. We examine how the productivity of researchers is affected by the distributed collaborative networks in which they are embedded. Our goal is to understand the effects of brokerage and closure on the researchers’ publication rate, which is interpreted as an indicator of their productivity. We analyze researchers’ communication networks, focusing on structural holes and diversity. We take into account the individual qualities of the focal researcher such as seniority. We find that disciplinary diversity among researchers’ peers increases the researchers’ productivity, lending support to the brokerage argument. In addition, we find support for two statistical interaction effects. First, structural holes moderate diversity so that researchers with diverse networks are more productive when their networks also have a less redundant structure. Diversity and structural holes, when combined, further researchers’ productivity. Second, seniority moderates diversity such that senior researchers are more productive than junior researchers in less diverse networks. In more diverse networks, junior researchers perform as well as senior researchers. Social capital and human capital are complementary. We conclude that the benefits of diversity on researchers’ productivity are contingent on the qualities of the researchers and on network structure. The brokerage/closure debate thus needs a more nuanced understanding of causal relationships.