1,121
Views
3
CrossRef citations to date
0
Altmetric
Articles

Team Mental Models, Team Goal Orientations, and Information Elaboration, Predicting Team Creative Performance

&
Pages 380-390 | Published online: 13 Dec 2018
 

Abstract

This study aimed to enhance understanding of team creativity by investigating the type of team mental models that team members develop during their work on a creative problem solving task. We hypothesized that teams that develop dissimilar team mental models, compared to similar and complementary team mental models, will achieve a higher information elaboration. This effect will be moderated by the development of a high learning-performance team goal orientation. Information elaboration in turn was hypothesized to predict team creative performance. In a 3 (similar/dissimilar/complementary team mental models) × 3 (learning/performance/learning-performance goal orientation) experimental study on a sample of 33 teams (N = 98) we found that teams that developed more dissimilar team mental models and experienced a learning-performance goal orientation intervention engaged in more information elaboration. Information elaboration, in turn, mediated the relationship between the interaction between team mental models and team goal orientations and team creative performance. Implications for research on team mental models and team creativity are discussed.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 354.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.