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Novelty, Complexity, and Importance as Causal Determinants of Industrial Buyer Behavior

McQuiston, Daniel H.·1989·Journal of Marketing

Abstract

To successfully market their products, industrial vendors must determine who participates in an organizational purchase decision and what their influence is. Previous research has shown that participation and influence can vary across products and purchase situations. Though industrial marketing researchers would agree that there are different types of purchase situations, they would disagree on a taxonomy for describing them. The author uses past research as a point of departure and proposes a structural equations model that suggests the purchase situation attributes of novelty, complexity, and importance are causal determinants of participation and influence in an industrial purchase decision. The results indicate that these constructs, especially novelty and importance, provide a plausible typology for describing participation and influence in industrial purchase situations.

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Metadata

Authors
McQuiston, D. H.
Venue
Journal of Marketing
Published
1989-04
Volume
53
Issue
2
Pages
66-79
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W2032220275
Cited by
302
References
2
FWCI
10.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Novelty, Complexity, and Importance as Causal Determinants of Industrial Buyer Behavior. https://app.cochat.ai/papers/10.1177/002224298905300205
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McQuiston, D. H. (1989). Novelty, Complexity, and Importance as Causal Determinants of Industrial Buyer Behavior. Journal of Marketing. https://doi.org/10.1177/002224298905300205

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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.