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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Distinctive Marketing and Information Technology Capabilities and Strategic Types: A Cross-National Investigation

Open access
Song, Michael, Nason, Robert W., Di Benedetto, C. Anthony·2008·Journal of International Marketing

Abstract

The authors examine the relationship between strategic type and development of distinctive marketing, market-linking, technology, and information technology (IT) capabilities to implement innovation strategy. They hypothesize that prospectors must build technical and IT capabilities, whereas defenders develop market-linking and marketing capabilities. The authors collect data from 709 firms across the United States, Japan, and China. They find support for their capability hypotheses, as well as for some of their cross-national hypotheses that are based on cultural and business environment differences among the three countries. In particular, they find support for the hypotheses that Japanese firms have greater technology and IT capabilities than U.S. firms of the same strategic type. They conclude with implications for management.

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Metadata

Authors
Song, M., Nason, R. W., & Di Benedetto, C. A.
Venue
Journal of International Marketing
Published
2008-03
Volume
16
Issue
1
Pages
4-38
ISSN
  • 1069-031X (ISSN-L)
  • 1547-7215
OpenAlex
W2127051503
Cited by
173
References
4
FWCI
19.35
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Distinctive Marketing and Information Technology Capabilities and Strategic Types: A Cross-National Investigation. https://app.cochat.ai/papers/10.1509/jimk.16.1.4
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Song, M., Nason, R. W., & Di Benedetto, C. A. (2008). Distinctive Marketing and Information Technology Capabilities and Strategic Types: A Cross-National Investigation. Journal of International Marketing. https://doi.org/10.1509/jimk.16.1.4

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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.