Predicting business ethical tolerance in international markets: a concomitant clusterwise regression analysis

Jacques-Marie Aurifeille and Pascale G. Quester

International Business Review, 2003, vol. 12, issue 2, 253-272

Abstract: The literature proposes a number of models explaining ethical behaviours but these are seldom of the kind which can be used by marketers in their day-to-day decision making. In this study based on data collected from 166 firms operating in overseas markets, a concomitant clusterwise regression approach is used to define clusters that display good homogeneity both in traits and in models of ethical tolerance, thus allowing an 'ethical diagnostic' of firms. Based on readily available and objective variables, namely size, dependence on overseas markets and overseas experience, the paper demonstrates that it is possible to cluster firms into groups of which the ethical tolerance can be predicted. The managerial implications of these findings for international marketers and directions for future research are also discussed.

Keywords: Ethics; Organisational; variables; Clusterwise; regression; International; marketing; Genetic; algorithm (search for similar items in EconPapers)
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0969593102000999
Full text for ScienceDirect subscribers only

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:eee:iburev:v:12:y:2003:i:2:p:253-272

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/133/bibliographic
http://www.elsevier. ... me/133/bibliographic

Access Statistics for this article

International Business Review is currently edited by P. Ghauri

More articles in International Business Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().