Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/186587
Title: | Using fuzzy Indicators in customer experience analytics |
Author: | Nicolás Alarcón, Carolina Gil Lafuente, Jaime Urrutia, Angélica Valenzuela-Fernández, Leslier |
Keywords: | Lògica borrosa Control de gestió Indicadors econòmics Relacions amb els clients Fuzzy logic Management audit Economic indicators Customer relations |
Issue Date: | 2-Feb-2021 |
Publisher: | IOS Press |
Abstract: | The aims of this study is to propose a model for managing customer experience analytics focused on value generated in an online market, this study to explore touch points experience, measured with conventional indicators and fuzzy indicators, using to a structural equation model analysis and Mamdani inference method. The investigation has delved deeper into the nature of the value of the experience construct, the results revealed of the empirical study confirm regarding how the experience value is related with the key touch points of the customer/company relationship. Very few studies in the reviewed literature about the conceptualization on customer interactive experience focused on value generated in an online environment. This study becomes more relevant today, where, after the pandemic, the value of the online customer experience becomes more important. |
Note: | Versió postprint del document publicat a: https://doi.org/10.3233/JIFS-189201 |
It is part of: | Journal of Intelligent and Fuzzy Systems, 2021, vol. 40, num. 2, p. 1983-1996 |
URI: | http://hdl.handle.net/2445/186587 |
Related resource: | https://doi.org/10.3233/JIFS-189201 |
ISSN: | 1064-1246 |
Appears in Collections: | Articles publicats en revistes (Empresa) |
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