The inductive realist model of theory generation: explaining the development of a theory of marketing ethics

Shelby D. Hunt ()
Additional contact information
Shelby D. Hunt: The Jerry S. Rawls and P.W. Horn Professor of Marketing, Texas Tech University

AMS Review, 2013, vol. 3, issue 2, No 2, 73 pages

Abstract: Abstract This article contributes to theory development in marketing, in general, and to theory development in marketing ethics, in particular. The proposed “inductive realist model of theory generation” incorporates both (1) recent works in the philosophy of science on discovery processes in science and (2) Hunt’s (International Studies in the Philosophy of Science, 25(2), 159–178, 2011, AMS Review, 2(1), 5–18, 2012) inductive realist model of theory status. To illustrate how the model can be used, the author shows how the model can contribute to understanding the development of a general theory of marketing ethics that is frequently referred to as the “Hunt-Vitell theory of ethics.”

Keywords: Philosophy of science; Scientific realism; Inductive realism; Ethics; Scientific discovery; Theory development (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://link.springer.com/10.1007/s13162-013-0040-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:amsrev:v:3:y:2013:i:2:d:10.1007_s13162-013-0040-2

Ordering information: This journal article can be ordered from
http://www.springer. ... gement/journal/13162

DOI: 10.1007/s13162-013-0040-2

Access Statistics for this article

AMS Review is currently edited by Manjit S. Yadav

More articles in AMS Review from Springer, Academy of Marketing Science
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().