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Differentiation in the Cloud: Methodology for Integrating Customer Values in Experience Design

Authors: Bronan McCabe; Javier Del Ser; Kaisa Koskela-Huotari; Kaarina Karppinen; Andrey Sirotkin;

Differentiation in the Cloud: Methodology for Integrating Customer Values in Experience Design

Abstract

How do organizations know they are designing products and services that their customers will value? This paper describes the initial results of the first four stages of a methodology for integrating customer Values in Experience design (ViEx). The theory of universal value structure was adapted to examine customer values in two contexts: online interaction (N=725) and shopping experience (N=742). The principle component analysis was used to identify the values structure in each context. The components represented persona dimensions and their relative order of importance characterized individual customers. The commonalities of the persona dimensions preferences were analyzed and customers were grouped by dimension preferences. Finally, the values-based persona descriptions were developed and complemented with demographic data and information from context-specific questions. The paper concludes with application of methodology to differentiation strategies in highly competitive business environments such as the cloud. The research also contributes to the discussion of values in context.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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