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Cited by 438

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

Li, Qiang, Maggitti, Patrick G., Smith, Ken G., Tesluk, Paul E., Katila, Riitta·2013·Academy of Management Journal

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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Metadata

Authors
Li, Q., Maggitti, P. G., Smith, K. G., Tesluk, P. E., & Katila, R.
Venue
Academy of Management Journal
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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CoChat. (2026). Citation check: Top Management Attention to Innovation: The Role of Search Selection and Intensity in New Product Introductions. https://app.cochat.ai/papers/10.5465/amj.2010.0844
The paper
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

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.