The DOI matches its Crossref record; 146 of the 146 references it cites were found in a registry or an index.
Top Management Attention to Innovation: The Role of Search Selection and Intensity in New Product Introductions
Abstract
We develop and test an attention-based theory of search by top management teams and the influence on firm innovativeness. Using an in-depth field study of 61 publicly traded high-technology firms and their top executives, we find that the location selection and intensity of search independently and jointly influence new product introductions. We have three important findings. First, in contrast to the portrait of local managerial search, we find teams that select locations that contain novel, vivid, and salient information introduce more new products. Next, unlike information-gathering approaches that merely “satisfice,” persistent search intensity may lead to increases in new product introductions. Finally, level of search intensity must fit the selected location of search to maximize new product introductions.
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Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
James, W. (1913) · Henry Holt and Company eBooks · doi:10.1037/11059-000 · Cited by 25,226
Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 24,532
Advances In Experimental Social Psychology
(2022) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(22)x0002-6 · Cited by 22,259
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
An Evolutionary Theory of Economic Change.
Loasby, B. J., Nelson, R. R., & Winter, S. G. (1983) · The Economic Journal · doi:10.2307/2232409 · Cited by 21,366
A BEHAVIORAL MODEL OF RATIONAL CHOICE
Simon, H. A. (1955) · The Quarterly Journal of Economics · doi:10.2307/1884852 · Cited by 15,877
Gioia, D. A., Mehra, A., & Weick, K. E. (1996) · The Academy of Management Review · doi:10.2307/259169 · Cited by 15,614
Cited by
Nadkarni, S., & Chen, J. (2014) · Academy of Management Journal · doi:10.5465/amj.2011.0401 · Cited by 494
Renewing Research on Problemistic Search—A Review and Research Agenda
Posen, H. E., Keil, T., Kim, S., & Meissner, F. D. (2018) · Academy of Management Annals · doi:10.5465/annals.2016.0018 · Cited by 462
Souto, J. E. (2015) · Tourism Management · doi:10.1016/j.tourman.2015.05.017 · Cited by 324
Sarta, A., Durand, R., & Vergne, J.-P. (2021) · Journal of Management · doi:10.1177/0149206320929088 · Cited by 264
Zhou, L., Li, J., Liu, Y., Tian, F., Zhang, X., & Qin, W. (2019) · Leadership & Organization Development Journal · doi:10.1108/lodj-03-2019-0099 · Cited by 27
Metadata
- Authors
- Li, Q., Maggitti, P. G., Smith, K. G., Tesluk, P. E., & Katila, R.
- Venue
- Academy of Management Journal
- Publisher
- Academy of Management
- Published
- 2013-06
- Volume
- 56
- Issue
- 3
- Pages
- 893-916
- ISSN
- 0001-4273 (ISSN-L)
- 1948-0989
- OpenAlex
- W2159538847
- Cited by
- 438
- References
- 146
- FWCI
- 28.70
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, Q., Maggitti, P. G., Smith, K. G., Tesluk, P. E., & Katila, R. (2013). Top Management Attention to Innovation: The Role of Search Selection and Intensity in New Product Introductions. Academy of Management Journal. https://doi.org/10.5465/amj.2010.0844
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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.