2021
DOI: 10.1016/j.respol.2021.104313
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Facilitators and inhibitors for integrating expertise diversity in innovation teams: The case of plasmid exchange in molecular biology

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Cited by 12 publications
(4 citation statements)
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“…This positive effect of different knowledge backgrounds matters more to companies whose knowledge base is focused on technical and scientific applications rather than those with a generalist, business-oriented knowledge base (Corrocher & Lenzi, 2022). In another study, it was found that expertise multiplicity increased innovation performance, enhanced by expertise overlap and weakened by status disparity and automation technology (Zaggl & Pottbacker, 2021). Unlike in homogeneous groups, in cognitively heterogeneous groups, task interdependence was positively associated with innovative behavior for members with high levels of goal interdependence and there was no association in the case of low goal interdependence (Van der Vegt & Janssen, 2003).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…This positive effect of different knowledge backgrounds matters more to companies whose knowledge base is focused on technical and scientific applications rather than those with a generalist, business-oriented knowledge base (Corrocher & Lenzi, 2022). In another study, it was found that expertise multiplicity increased innovation performance, enhanced by expertise overlap and weakened by status disparity and automation technology (Zaggl & Pottbacker, 2021). Unlike in homogeneous groups, in cognitively heterogeneous groups, task interdependence was positively associated with innovative behavior for members with high levels of goal interdependence and there was no association in the case of low goal interdependence (Van der Vegt & Janssen, 2003).…”
Section: Resultsmentioning
confidence: 99%
“…Cognitive differentiation in terms of cognitive contents available in the group Individual differences in expertise, experience, knowledge, skills, perspectives on the tasks, skill set, professional background, type of education Chow (2018), Dahlin et al (2005), Miller et al (1998), Jankelova et al (2021), Van der Vegt and Janssen (2003), Zaggl and Pottbacker (2021) Cognitive differentiation in terms of cognitive processes or information processing tendencies, capabilities, or preferences Individual differences in thinking styles, values, beliefs, neurological conditions, professional norms, level of expertise, level of cognitive complexity, cognitive abilities, decision rationality, decision-making styles and preferences, level of education , Chen et al (2019), Curşeu et al (2007Curşeu et al ( , 2013Curşeu et al ( , 2015, Dahlin et al (2005), Devine and Philips (2001), Kilduff et al (2000), Miller et al (1998), Vanderheyden and De Baets (2015) 2010). More specifically, in line with the distinction between variety and disparity presented by Harrison and Klein (2007) and the framework developed by Bunderson and Van der Vegt (2018), we argue that cognitive diversity can be mapped along two co-existing differentiation dimensions, namely horizontal (the dispersion of cognitive resources in the group) and vertical (the unequal concentration of cognitive resources in the group), and cognitive diversity impacts group effectiveness through convergent and divergent processes (Stahl et al, 2010).…”
Section: Examplesmentioning
confidence: 99%
“…Our study also simplifies the role of functional diversity by only controlling for this factor. Future research should enrich the role of functional diversity, and other forms of diversity, by building on the large literature on team diversity, e.g., [67], [86], [87], [90], and detail how it interacts with (non-)familiarity. We speculate that non-familiarity together with dialogic coordination unleashes the potential of functional diversity.…”
Section: Discussionmentioning
confidence: 99%
“…We measured functional diversity as the Hirschman-Herfindahl Index (HHI) of the task force member's functional professional expertise (marketing, engineering, etc.) [86], [87] based on the initial survey (before the project started).…”
Section: Independent Variablesmentioning
confidence: 99%