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Cited by 429

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Industrial Purchasing: An Empirical Exploration of the Buyclass Framework

Anderson, Erin, Chu, Wujin, Weitz, Barton·1987·Journal of Marketing

Abstract

The Robinson, Faris, and Wind buyclass framework has been called one of the most useful concepts in organizational buyer behavior, yet the entire model has received little empirical attention. Part of the explanation is the difficulty of obtaining valid data from members of the buying center. The authors study the buyclass framework using a novel approach: querying the managers of salesforces about the behavior their salespeople encounter on the part of their industrial customers. In phase 1, model development, the authors study the model's applicability in a relatively homogeneous, controlled setting (one industry, few firms). In phase 2, model replication, they extend and validate the phase 1 findings using multiple firms and industries. Much of what salespeople observe is found to correspond closely to the buyclass theory of organizational buyer behavior. Also, the “problem newness” and “information needs” dimensions are found to be strongly related, as expected. However, “seriousness of consideration of alternatives” seems to be a separate dimension that does not operate entirely as predicted by the buyclass framework.

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Metadata

Authors
Anderson, E., Chu, W., & Weitz, B.
Venue
Journal of Marketing
Published
1987-07
Volume
51
Issue
3
Pages
71-86
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W2327127036
Cited by
429
References
33
FWCI
26.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Industrial Purchasing: An Empirical Exploration of the Buyclass Framework. https://app.cochat.ai/papers/10.1177/002224298705100305
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Anderson, E., Chu, W., & Weitz, B. (1987). Industrial Purchasing: An Empirical Exploration of the Buyclass Framework. Journal of Marketing. https://doi.org/10.1177/002224298705100305

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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