The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Improvisation and Innovative Performance in Teams
Abstract
This paper builds on the principles and insights from improvisational theater to unpack the nature of collective improvisation and to consider what it takes to do it well and to innovate. Furthermore, we discuss the role of training in enhancing the incidence and effectiveness of improvisation. We propose that two common misconceptions about improvisation have hindered managers’ understanding of how to develop the improvisational skill. First, the spontaneous facet of improvisation tends to be overemphasized, and second, there is a general assumption that improvisation always leads to positive performance. Our goal is to clear up the conceptual confusion about improvisation by laying out the various aspects of preparation that are required for effective improvisation. In our theoretical model, we delineate how the improvisational theater principles of “practice,” “collaboration,” “agree, accept, and add,” “be present in the moment,” and “draw on reincorporation and ready-mades” can be used to understand what it takes to improvise well in work teams and to create a context favoring these efforts. Our findings support a contingent view of the impact of improvisation on innovative performance. Improvisation is not inherently good or bad; however, improvisation has a positive effect on team innovation when combined with team and contextual moderating factors. We also provide initial evidence suggesting that the improvisational skill can be learned by organizational members through training. Our results shed light on the opportunities provided by training in improvisation and on the challenges of creating behavioral change going beyond the individual to the team and, ultimately, to the organization.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
Psychological Safety and Learning Behavior in Work Teams
Edmondson, A. (1999) · Administrative Science Quarterly · doi:10.2307/2666999 · Cited by 12,026
What Makes Teams Work: Group Effectiveness Research from the Shop Floor to the Executive Suite
Cohen, S. G., & Bailey, D. E. (1997) · Journal of Management · doi:10.1177/014920639702300303 · Cited by 3,526
Transactive Memory: A Contemporary Analysis of the Group Mind
Wegner, D. M. (1987) · Theories of Group Behavior · doi:10.1007/978-1-4612-4634-3_9 · Cited by 2,700
Accelerating Adaptive Processes: Product Innovation in the Global Computer Industry
Eisenhardt, K. M., & Tabrizi, B. N. (1995) · Administrative Science Quarterly · doi:10.2307/2393701 · Cited by 2,426 · cited 2×
“Realtime information is defined as information about a firm’s operations or environment for which there is little or no time lag between occurrence and reporting (Eisenhardt 1989, Eisenhardt and Tabrizi 1995 ); it enables realtime communication—that is, the interaction within and between teams based on timely informat…”
BackgroundWalsh, J. P., & Ungson, G. R. (1991) · The Academy of Management Review · doi:10.2307/258607 · Cited by 835
Theatrical improvisation: Lessons for organizations
Vera, D., & Crossan, M. (2004) · Organization Studies · doi:10.1177/0170840604042412 · Cited by 369
Self-citation
Cited by
Anderson, N., Potočnik, K., & Zhou, J. (2014) · Journal of Management · doi:10.1177/0149206314527128 · Cited by 3,103
Dynamic Capabilities in Public Organizations: A literature review and research agenda
Piening, E. P. (2013) · Public Management Review · doi:10.1080/14719037.2012.708358 · Cited by 270
The quality of group tacit knowledge
Erden, Z., von Krogh, G., & Nonaka, I. (2008) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2008.02.002 · Cited by 238
Toward a Meta-Theory of Creativity Forms: How Novelty and Usefulness Shape Creativity
Harvey, S., & Berry, J. W. (2023) · Academy of Management Review · doi:10.5465/amr.2020.0110 · Cited by 125
Lua, E., Liu, D., & Shalley, C. E. (2024) · Journal of Organizational Behavior · doi:10.1002/job.2690 · Cited by 84
Metadata
- Authors
- Vera, D., & Crossan, M.
- Venue
- Organization Science
- Published
- 2005-06
- Volume
- 16
- Issue
- 3
- Pages
- 203-224
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2138086691
- Cited by
- 708
- References
- 8
- FWCI
- 16.78
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.