The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A Simulation-Based Approach to Understanding the Dynamics of Innovation Implementation
Open accessAbstract
The history of management practice is filled with innovations that failed to live up to the promise suggested by their early success. A paradox currently facing organizational theory is that the failure of these innovations often cannot be attributed to an intrinsic lack of efficacy. To resolve this paradox, in this paper I study the process of innovation implementation. Working from existing theoretical frameworks, I synthesize a model that describes the process through which participants in an organization develop commitment to using a newly adopted innovation. I then translate that framework into a formal model and analyze it using computer simulation. The analysis suggests three new constructs—reversion, regeneration, and the motivation threshold—characterizing the dynamics of implementation. Taken together, the constructs provide an internally consistent theory of how seemingly rational decision rules can create the apparent paradox of innovations that generate early results but fail to produce sustained benefit.
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
The Duality of Technology: Rethinking the Concept of Technology in Organizations
Orlikowski, W. J. (1992) · Organization Science · doi:10.1287/orsc.3.3.398 · Cited by 4,957
Explaining Development and Change in Organizations
van de Ven, A. H., & Poole, M. S. (1995) · The Academy of Management Review · doi:10.5465/amr.1995.9508080329 · Cited by 3,762
Mathematical Biology: II: Spatial Models and Biomedical Applications
(2003) · Interdisciplinary Applied Mathematics · doi:10.1007/b98869 · Cited by 2,293
The Challenge of Innovation Implementation
Klein, K. J., & Sorra, J. S. (1996) · The Academy of Management Review · doi:10.2307/259164 · Cited by 2,113
Learning in and about complex systems
Sterman, J. D. (1994) · System Dynamics Review · doi:10.1002/sdr.4260100214 · Cited by 1,279
Animal intelligence; experimental studies
Thorndike, E. L. (1911) · doi:10.5962/bhl.title.55072 · Cited by 1,100
Cited by
Proctor, E., Silmere, H., Raghavan, R., Hovmand, P., Aarons, G., Bunger, A., Griffey, R., & Hensley, M. (2011) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-010-0319-7 · Cited by 8,721
Contradictions, Dialectics, and Paradoxes in Organizations: A Constitutive Approach
Putnam, L. L., Fairhurst, G. T., & Banghart, S. (2016) · Academy of Management Annals · doi:10.5465/19416520.2016.1162421 · Cited by 1,116
Wijen, F. (2014) · Academy of Management Review · doi:10.5465/amr.2012.0218 · Cited by 459
Supply chain risk and resilience: theory building through structured experiments and simulation
Macdonald, J. R., Zobel, C. W., Melnyk, S. A., & Griffis, S. E. (2018) · International Journal of Production Research · doi:10.1080/00207543.2017.1421787 · Cited by 214
Reliable Effectiveness: A Theory on Sustaining and Replicating Worthwhile Innovations
Racine, D. P. (2006) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-006-0047-1 · Cited by 55
Metadata
- Authors
- Repenning, N. P.
- Venue
- Organization Science
- Published
- 2002-04
- Volume
- 13
- Issue
- 2
- Pages
- 109-127
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2103101543
- Cited by
- 338
- References
- 6
- FWCI
- 21.66
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Simulation-Based Approach to Understanding the Dynamics of Innovation Implementation. https://app.cochat.ai/papers/10.1287/orsc.13.2.109.535
- The paper
- Repenning, N. P. (2002). A Simulation-Based Approach to Understanding the Dynamics of Innovation Implementation. Organization Science. https://doi.org/10.1287/orsc.13.2.109.535
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.