The Open UniversitySkip to content
 

Revealing doctors' prescribing choice dimensions with multivariate tools: A perceptual mapping approach

Monteiro, Carlos M. F.; Dibb, Sally and Almeida, Luis Tadeu (2010). Revealing doctors' prescribing choice dimensions with multivariate tools: A perceptual mapping approach. European Journal of Operational Research, 201(3) pp. 909–920.

Full text available as:
[img]
Preview
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (440kB)
DOI (Digital Object Identifier) Link: https://doi.org/10.1016/j.ejor.2009.04.010
Google Scholar: Look up in Google Scholar

Abstract

This article explores the use of multivariate techniques to build perceptual maps that show the perceived competitive positions of a set of ethical drugs. The data were drawn from a commercial panel of 283 family doctors working for the UK National Health Service. Factor analysis was applied to identify the main dimensions used by doctors to perceive and evaluate antihypertensive brands. Perceptual maps showing the competitive positions of 14 antihypertensives were produced using the factor scores of the medicines. Multiple regression analysis enabled the relative importance of each perceptual dimension to be determined. The results reveal that doctors use a small number of perceptual dimensions to evaluate competitive antihypertensive drugs, namely: 'medical support', 'long term efficacy', and the 'additional beneficial effects' provided by the brand. The implications for marketing managers in the ethical pharmaceutical industry are explained and ways in which the perceptual analysis can be used to guide strategic marketing decisions considered.

Item Type: Journal Item
Copyright Holders: 2009 Elsevier B.V.
ISSN: 0377-2217
Keywords: marketing; ethical pharmaceutical products; prescribing behaviour; multivariate statistical analysis; perceptual mapping
Academic Unit/School: Faculty of Business and Law (FBL)
Item ID: 15826
Depositing User: Colin Smith
Date Deposited: 27 Apr 2009 11:05
Last Modified: 07 Dec 2018 10:43
URI: http://oro.open.ac.uk/id/eprint/15826
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU