Means-End Chains and Laddering: An Inventory of Problems and an Agenda for Research
Klaus G. Grunert, Suzanne C. Beckmann, Elin Brandi Sørensen
Abstract
Klaus G. Grunert, Suzanne C. Beckmann, Elin Brandi Sørensen
Abstract
Executive summary 1. Means-end chains are a device used to understand how consumers mentally link products to self-relevant consequences. Means-end chains are usually measured by a method called laddering. 2. Means-end chains may fall short of tapping all relevant aspects of how consumers think about products. Specifically, nonverbal imagery, episodic information, and procedural knowledge are not included in means-end chains. 3. A number of methodological problems can be identified in the collection of means-end chain data. Major problems, which should be addressed in research, are methods to elicit the product attributes the laddering is to start with, the integration of a usage situation in the interview, and the basic decision on how much direct the respondent. 4. Concerning the coding of laddering data, a higher degree of transparency of the coding process would be desirable. 5. Hierarchical value maps, a major graphic device used to visualise results from laddering studies, should take care of possible non-homogeneity of respondents and of the intricacies of aggregation following from it. 6. A catalog of research topics is developed that can guide studies aimed at improving the means-end chains and laddering methodology.
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Executive summary 1. Means-end chains are a device used to understand how consumers mentally link products to self-relevant consequences. Means-end chains are usually measured by a method called laddering. 2. Means-end chains may fall short of tapping all relevant aspects of how consumers think about products. Specifically, nonverbal imagery, episodic information, and procedural knowledge are not included in means-end chains. 3. A number of methodological problems can be identified in the collection of means-end chain data. Major problems, which should be addressed in research, are methods to elicit the product attributes the laddering is to start with, the integration of a usage situation in the interview, and the basic decision on how much direct the respondent. 4. Concerning the coding of laddering data, a higher degree of transparency of the coding process would be desirable. 5. Hierarchical value maps, a major graphic device used to visualise results from laddering studies, should take care of possible non-homogeneity of respondents and of the intricacies of aggregation following from it. 6. A catalog of research topics is developed that can guide studies aimed at improving the means-end chains and laddering methodology.
Key concepts: Laddering, Business, Marketing