Technology as a complex adaptive system: evidence from patent data
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The NK model is suitable for depicting interdependent variables in managerial problems.
“The solution space is adapted from the NK model [24] which is deemed suitable because it depicts the interdependent variables in managerial problems [5, 9, 15, 17].”
From Closed-mindedness and insulation in groupthink: their effects and the devil’s advocacy as a preventive measure (2021) · cites this paper as [15]
The proposed model is based on the abstraction of group decision making as a search over the NK landscape, which is suitable because it captures the interdependent variables nature of managerial decision problems and is relevant to decision making in realistic situations.
“The proposed model is based on the abstraction of group decision making as a search over the NK landscape which is suitable because it captures the interdependent variables nature of managerial decision problems [5, 9, 15, 17] and relevant to decision making in the realistic situations [5, 17].”
From Closed-mindedness and insulation in groupthink: their effects and the devil’s advocacy as a preventive measure (2021) · cites this paper as [15]
Cites
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Laursen, K., & Salter, A. (2006) · Strategic Management Journal · doi:10.1002/smj.507 · Cited by 6,324 · see citing works
SOMETHING OLD, SOMETHING NEW: A LONGITUDINAL STUDY OF SEARCH BEHAVIOR AND NEW PRODUCT INTRODUCTION.
Katila, R., & Ahuja, G. (2002) · Academy of Management Journal · doi:10.2307/3069433 · Cited by 3,640 · see citing works
Innovation objectives, knowledge sources, and the benefits of breadth
Leiponen, A., & Helfat, C. E. (2010) · Strategic Management Journal · doi:10.1002/smj.807 · Cited by 1,341 · see citing works
Balancing Search and Stability: Interdependencies Among Elements of Organizational Design
Rivkin, J. W., & Siggelkow, N. (2003) · Management Science · doi:10.1287/mnsc.49.3.290.12740 · Cited by 900 · see citing works
Kapoor, R., & Agarwal, S. (2017) · Organization Science · doi:10.1287/orsc.2017.1122 · Cited by 453 · see citing works
Huenteler, J., Schmidt, T. S., Ossenbrink, J., & Hoffmann, V. H. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.09.022 · Cited by 269 · see citing works
Platform governance matters: How platform gatekeeping affects knowledge sharing among complementors
Zhang, Y., Li, J., & Tong, T. W. (2022) · Strategic Management Journal · doi:10.1002/smj.3191 · Cited by 214 · see citing works
Hierarchical Structure and Search in Complex Organizations
Mihm, J., Loch, C. H., Wilkinson, D., & Huberman, B. A. (2010) · Management Science · doi:10.1287/mnsc.1100.1148 · Cited by 154 · see citing works
Better with Age? Tie Longevity and the Performance Implications of Bridging and Closure
Baum, J. A. C., McEvily, B., & Rowley, T. J. (2012) · Organization Science · doi:10.1287/orsc.1100.0566 · Cited by 133 · see citing works
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 · see citing works
Jones, S. L., Leiponen, A., & Vasudeva, G. (2021) · Strategic Management Journal · doi:10.1002/smj.3244 · Cited by 95 · see citing works
NK model as a representation of innovative search
Ganco, M. (2017) · Research Policy · doi:10.1016/j.respol.2017.08.009 · Cited by 83 · see citing works
Brunswicker, S., Almirall, E., & Majchrzak, A. (2019) · MIS Quarterly · doi:10.25300/misq/2019/13561 · Cited by 59 · see citing works
The Crowdless Future? Generative AI and Creative Problem Solving
Boussioux, L., N. Lane, J., Zhang, M., Jacimovic, V., & Lakhani, K. R. (2023) · doi:10.2139/ssrn.4533642 · Cited by 343 · see citing works
Neirotti, P., Pesce, D., & Battaglia, D. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121088 · Cited by 39 · see citing works
Akhmad, M., Chang, S., & Deguchi, H. (2021) · Journal of Computational Social Science · doi:10.1007/s42001-020-00083-8 · Cited by 18 · see citing works
“The proposed model is based on the abstraction of group decision making as a search over the NK landscape which is suitable because it captures the interdependent variables nature of managerial decision problems [5, 9, 15, 17] and relevant to decision making in the realistic situations [5, 17].”
BackgroundMethodGeisendorf, S. (2010) · Computational Economics · doi:10.1007/s10614-009-9192-4 · Cited by 15 · see citing works
Disruptive evolution: harnessing functional excess, experimentation, and science as tool
Felin, T., & Kauffman, S. (2023) · Industrial and Corporate Change · doi:10.1093/icc/dtad057 · Cited by 11 · see citing works
- Authors
- Fleming, L., & Sorenson, O.
- Affiliations
- Harvard University (US)
- University of California, Los Angeles (US)
- Corresponding author
- Fleming, Lee
- Venue
- Research Policy
- Publisher
- Elsevier BV
- Published
- 2001-08
- Volume
- 30
- Issue
- 7
- Pages
- 1019-1039
- ISSN
- 0048-7333 (ISSN-L)
- OpenAlex
- W2124875931
- Cited by
- 1,315
- References
- 1
- Citations by year
- 2026: 94 · 2025: 75 · 2024: 80 · 2023: 64 · 2022: 66 · 2021: 80 · 2020: 73 · 2019: 82 · 2018: 65 · 2017: 55 · 2016: 63 · 2015: 59 · 2014: 68 · 2013: 55 · 2012: 56
- FWCI
- 24.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Research Policy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Harvard Business School
- Topics
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Intellectual Property and Patents
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Technological Innovation
- Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
- Keywords
- inventions, complex adaptive systems, technology landscape, patent citations, technological evolution, evolution, technology strategy, industrial transformation
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 ›
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