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Cited by 647

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

Market Intelligence Dissemination across Functional Boundaries

Maltz, Elliot, Kohli, Ajay K.·1996·Journal of Marketing Research

Abstract

The authors extend previous research by examining antecedents and consequences of the market intelligence dissemination process across functional boundaries. Their study, involving 788 nonmarketing managers in high-tech equipment manufacturing companies, suggests that both dissemination frequency and formality have nonlinear effects on perceived intelligence quality. In addition, they find evidence of a mere formality effect; that is, intelligence received through formal channels appears to be used more than that obtained through informal channels. The authors also find that the frequency with which market intelligence is disseminated is related to interfunctional distance, joint customer visits, senders’ positional power, a receiver's organizational commitment, and trust in a sender. Additionally they find the formality of the dissemination process is shaped by interfunctional distance, receivers’ trust in senders, and structural flux. Interestingly, the effects of internal environmental volatility (i.e., structural flux) appear to be different from those of external environmental volatility (i.e., market dynamism). For example, structural flux is found to affect dissemination formality, but not frequency, whereas the opposite is true for market dynamism.

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Metadata

Authors
Maltz, E., & Kohli, A. K.
Venue
Journal of Marketing Research
Published
1996-02
Volume
33
Issue
1
Pages
47-61
ISSN
  • 0022-2437 (ISSN-L)
  • 1547-7193
OpenAlex
W2089267254
Cited by
647
References
4
FWCI
36.72
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Market Intelligence Dissemination across Functional Boundaries. https://app.cochat.ai/papers/10.1177/002224379603300105
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Maltz, E., & Kohli, A. K. (1996). Market Intelligence Dissemination across Functional Boundaries. Journal of Marketing Research. https://doi.org/10.1177/002224379603300105

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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.