Using fuzzy Indicators in customer experience analytics

Nicolas, Carolina; Gil-Lafuente, Jaime; Urrutia, Angelica; Valenzuela-Fernandez, Leslier

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.

Más información

Título según WOS: Using fuzzy Indicators in customer experience analytics
Título de la Revista: JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Volumen: 40
Número: 2
Editorial: IOS Press
Fecha de publicación: 2021
Página de inicio: 1983
Página final: 1996
DOI:

10.3233/JIFS-189201

Notas: ISI