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Cited by 206

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Effects of Customer and Innovation Asset Configuration Strategies on Firm Performance

Fang, Eric (Er), Palmatier, Robert W., Grewal, Rajdeep·2011·Journal of Marketing Research

Abstract

Both customer and innovation assets are important to firm performance. Prior research has mostly examined these assets at the firm level and has not distinguished between the effects of asset depth relative to competitors and asset breadth across different segments. Using configuration theory and the resource-based view of the firm, the authors propose that how these assets interact to influence performance depends on both depth and breadth because these features reflect whether the assets are likely to create and/or appropriate value when deployed. Empirical results from two studies—one using secondary data and another using primary data from a survey of senior managers—indicate that performance is highest when firms employ configurations using deep customer and broad innovation assets or deep innovation and broad customer assets. In contrast, firm performance variability decreases in the presence of deep–deep and broad–broad asset configurations. The effect of configuration strategies on firm performance also is typically greater in dynamic than in stable environments.

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Metadata

Authors
Fang, E. (., Palmatier, R. W., & Grewal, R.
Venue
Journal of Marketing Research
Published
2011-06
Volume
48
Issue
3
Pages
587-602
ISSN
  • 0022-2437 (ISSN-L)
  • 1547-7193
OpenAlex
W2312548962
Cited by
206
References
5
FWCI
25.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Effects of Customer and Innovation Asset Configuration Strategies on Firm Performance. https://app.cochat.ai/papers/10.1509/jmkr.48.3.587
The paper
Fang, E. (., Palmatier, R. W., & Grewal, R. (2011). Effects of Customer and Innovation Asset Configuration Strategies on Firm Performance. Journal of Marketing Research. https://doi.org/10.1509/jmkr.48.3.587

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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.