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Ordinal Evaluation: A New Perspective on Country Images

  • Marko Robnik-Šikonja
  • Kris Brijs
  • Koen Vanhoof
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5633)

Abstract

We present a novel use of ordinal evaluation (OrdEval) algorithm as a promising technique to study various marketing phenomena. OrdEval algorithm has originated in data mining and is a general tool to analyze data with ordinal attributes, including surveys. Its many favorable features, including context sensitivity, ability to exploit meaning of ordered features and ordered response, and robustness to noise and missing values in the data, offer marketing practitioners a perspective, not available with classical analytical toolbox.

We present a case study applying OrdEval algorithm on country-of-origin (COO) information. We demonstrate some interesting advantages it has to offer and show how to extract and interpret new insights allowing marketing practitioners to further optimize the management of products abroad.

Data for the empirical study was gathered by means of 1225 questionnaires. Results indicate that, contrary to the classical view on COO-effects, the processing of country-related cognitions, affects and conations is a non-linear and asymmetric phenomenon. The practical implications of this finding for marketers are discussed more in detail.

Keywords

Customer Satisfaction Purchase Intention Reinforcement Factor Context Sensitivity Product Attitude 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Marko Robnik-Šikonja
    • 1
  • Kris Brijs
    • 2
  • Koen Vanhoof
    • 2
  1. 1.Faculty of Computer and Information ScienceUniversity of LjubljanaLjubljanaSlovenia
  2. 2.Department of EconomicsUniversity of HasseltDiepenbeekBelgium

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