The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.
Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance, Novelty, and Resource Allocation in Science
Open accessAbstract
Selecting among alternative projects is a core management task in all innovating organizations. In this paper, we focus on the evaluation of frontier scientific research projects. We argue that the “intellectual distance” between the knowledge embodied in research proposals and an evaluator’s own expertise systematically relates to the evaluations given. To estimate relationships, we designed and executed a grant proposal process at a leading research university in which we randomized the assignment of evaluators and proposals to generate 2,130 evaluator–proposal pairs. We find that evaluators systematically give lower scores to research proposals that are closer to their own areas of expertise and to those that are highly novel. The patterns are consistent with biases associated with boundedly rational evaluation of new ideas. The patterns are inconsistent with intellectual distance simply contributing “noise” or being associated with private interests of evaluators. We discuss implications for policy, managerial intervention, and allocation of resources in the ongoing accumulation of scientific knowledge. This paper was accepted by Lee Fleming, entrepreneurship and innovation.
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Cites
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“Contrary to the popular notion of a “marketplace for ideas,” in which the best ideas simply rise to the top, resource allocation in academic science is shaped in important ways by supporting institutions and processes (Kuhn 1962, Merton 1968, Dasgupta and David 1994, Stephan 2012).”
Technological paradigms and technological trajectories
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Cited by
Fortunato, S., Bergstrom, C. T., Börner, K., Evans, J. A., Helbing, D., Milojević, S., Petersen, A. M., Radicchi, F., Sinatra, R., Uzzi, B., et al. (2018) · Science · doi:10.1126/science.aao0185 · Cited by 1,497
Enhancing the Effectiveness of Team Science
(2015) · National Academies Press eBooks · doi:10.17226/19007 · Cited by 620
Data Analytics, Innovation, and Firm Productivity
Wu, L., Hitt, L., & Lou, B. (2020) · Management Science · doi:10.1287/mnsc.2018.3281 · Cited by 368
Data-driven predictions in the science of science
Clauset, A., Larremore, D. B., & Sinatra, R. (2017) · Science · doi:10.1126/science.aal4217 · Cited by 265
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
Metadata
- Authors
- Boudreau, K. J., Guinan, E. C., Lakhani, K. R., & Riedl, C.
- Venue
- Management Science
- Published
- 2016-09
- Volume
- 62
- Issue
- 10
- Pages
- 2765-2783
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W3122634626
- Cited by
- 481
- References
- 83
- FWCI
- 68.82
- Type
- journal article
- Language
- en
- Open access
- green
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- Boudreau, K. J., Guinan, E. C., Lakhani, K. R., & Riedl, C. (2016). Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance, Novelty, and Resource Allocation in Science. Management Science. https://doi.org/10.1287/mnsc.2015.2285
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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.