Empirical Generalizations and Marketing Science: A Personal View

Frank M. Bass
Additional contact information
Frank M. Bass: The University of Texas at Dallas

Marketing Science, 1995, vol. 14, issue 3_supplement, G6-G19

Abstract: Marketing has matured to the point where it seems desirable to take stock of where we are, what we have learned, and fruitful directions for extending the knowledge base that has developed. Science is a process involving the interaction between empirical generalizations and theory. An is “a pattern or regularity that repeats over different circumstances and that can be described simply by mathematical, graphic, or symbolic methods.” One of the purposes of the Empirical Generalizations Conference held at Wharton on February 16–18, 1994 was to develop a list of examples of such empirical generalizations in marketing. Empirical generalization can precede a theory to explain it or it can be predicted by a theory. Science is the process of interaction between theory and data that leads to higher level theories. Examples are provided here of empirical generalizations in marketing and their theoretical counterparts. One example is provided of a higher level theory.

Keywords: diffusion; brand choice; pricing research; empirical generalizations (search for similar items in EconPapers)
Date: 1995
References: Add references at CitEc
Citations: View citations in EconPapers (50)

Downloads: (external link)
http://dx.doi.org/10.1287/mksc.14.3.G6 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ormksc:v:14:y:1995:i:3_supplement:p:g6-g19

Access Statistics for this article

More articles in Marketing Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().