Facilitators and inhibitors for integrating expertise diversity in innovation teams: The case of plasmid exchange in molecular biology

Innovation increasingly relies on collaboration in teams instead of individual efforts. Although the advantages of teams for innovating are virtually undisputed, we have only a very rudimentary understanding of their success drivers. To shed more light on innovation teams, we conceptualize multiplicity in expertise as nonredundant expertise and distinguish it from factors that facilitate or hinder the integration of this expertise. These factors are overlap in expertise, disparity in team members’ status, and whether or not teams use automation technology. We use the empirical context of molecular biology, especially the part of this field in which teams produce and exchange genetic material in the form of so-called plasmids. Combining data about plasmids from a central plasmid repository (AddGene) with bibliometric data endows us with a rich dataset capturing information about team diversity in addition to two innovation performance measures (the number of plasmid orders and the number of citations attracted by publications). Our analysis shows that multiplicity in expertise increases innovation performance; this relationship is strengthened by the overlap in expertise and weakened by disparity in status and the use of the automation technology. Our paper provides a more detailed theory of expertise diversity and contributes to the diversity literature. Our findings also lead to implications for practitioners.