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2018 | 19 | 4 | 452-461

Article title

CONJOINT ANALYSIS AS A STATISTICAL TOOL FOR STUDYING CONSUMER BEHAVIOUR. CHARACTERISTICS, TYPES AND EXAMPLES OF USE

Content

Title variants

Languages of publication

EN

Abstracts

EN
Conjoint analysis is a statistical method popular in marketing research. It allows to analyze the combined effect of many product attributes in order to look into consumer's willingness to purchase. An important advantage of this method is the ability to examine respondents' preferences without usage of the questionnaire with declarative answers. The article presents the most important types of conjoint analysis, their characteristics and examples of application. It also looks for new development paths for conjoint analysis and consumer sciences.

Contributors

  • Faculty of Human Nutrition and Consumer Sciences, Warsaw University of Life Sciences – SGGW, Poland
  • Faculty of Human Nutrition and Consumer Sciences, Warsaw University of Life Sciences – SGGW, Poland
  • Faculty of Human Nutrition and Consumer Sciences, Warsaw University of Life Sciences – SGGW, Poland

References

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  • Dziechciarz J., Walesiak M., Bąk A. (1999) An Application of Conjoint Analysis for Preference Measurement. Argumenta Oeconomica, 1(7).
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  • Meyerding S. (2016) Consumer Preferences for Food Labels on Tomatoes in Germany - A Comparison of a Quasi-Experiment and Two Stated Preference Approaches. Appetite, 103, 105-112.
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Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-c789a6c8-65af-468b-87ac-628e144dd378
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