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A Graph Theory Approach to Comparing Consumer Information Processing Models

Publication ,  Journal Article
Bettman, JR
Published in: Management Science
December 1971

This study argues the need for, and then develops, some graph theoretic approaches for comparing complex information processing models of individual decisions. Two similarity coefficients are proposed, and a coefficient based on path and reachability structure is shown to be preferable. Some properties of this coefficient are outlined, as well as a computational method. The coefficient is applied to actual information processing models of consumer choice and stock selection. The results of this application are interpreted for insights into process structure, stability of decision processes over time, and possibilities of developing process-oriented typologies. Finally, problems and prospects for this type of approach are assessed.

Duke Scholars

Published In

Management Science

Publication Date

December 1971

Volume

18

Issue

4-Part-II

Related Subject Headings

  • Operations Research
  • 15 Commerce, Management, Tourism and Services
  • 08 Information and Computing Sciences
 

Citation

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Bettman, J. R. (1971). A Graph Theory Approach to Comparing Consumer Information Processing Models. Management Science, 18(4-Part-II).
Bettman, James R. “A Graph Theory Approach to Comparing Consumer Information Processing Models.” Management Science 18, no. 4-Part-II (December 1971).
Bettman JR. A Graph Theory Approach to Comparing Consumer Information Processing Models. Management Science. 1971 Dec;18(4-Part-II).
Bettman, James R. “A Graph Theory Approach to Comparing Consumer Information Processing Models.” Management Science, vol. 18, no. 4-Part-II, Dec. 1971.
Bettman JR. A Graph Theory Approach to Comparing Consumer Information Processing Models. Management Science. 1971 Dec;18(4-Part-II).

Published In

Management Science

Publication Date

December 1971

Volume

18

Issue

4-Part-II

Related Subject Headings

  • Operations Research
  • 15 Commerce, Management, Tourism and Services
  • 08 Information and Computing Sciences