A conceptual model for knowledge integration in interdisciplinary teams: orchestrating individual learning and group processes

Deana Pennington ()
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Deana Pennington: University of Texas at El Paso

Journal of Environmental Studies and Sciences, 2016, vol. 6, issue 2, No 9, 300-312

Abstract: Abstract A well-known barrier to successful interdisciplinary work is the difficulty of integrating knowledge across disciplines. Integrated conceptualizations must leverage the combined knowledge of team members in productive ways for a given problem. The process of knowledge integration has been investigated from a variety of disciplinary perspectives, including organizational science, team psychology, social science, and the learning sciences. These various perspectives are converging on a few key processes that mediate successful knowledge integration: ability to learn each other’s perspectives, participatory processes, and flexible, adaptive problem formulation. This article summarizes key findings from the research literature on knowledge integration and presents a new conceptual model for developing interdisciplinary conceptualizations that links individual, group, and system factors. The model provides clarity regarding the interactions between individual learning and group processes and the challenges these present, identifies strategies for overcoming those challenges, and frames the problem as one of developing a new distributed cognitive system.

Keywords: Distributed cognitive systems; Boundary objects; Knowledge integration; Interdisciplinary teamwork (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (9)

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DOI: 10.1007/s13412-015-0354-5

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