Modelos causales como ayuda a la comprensión de sistemas complejos: Análisis de los factores críticos de éxito en el desarrollo de chatbots

Translated title of the contribution: Causal models as an aid to understanding complex systems: Analysis of critical success factors in the development of chatbots

Miguel Ángel Quiroz Martínez, Joseline Mora Mora, Julissa Medina Gruezo, Maikel Yelandi Leyva Vázquez

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We analyzed the factors that are considered key when developing chatbots, making the implementation effective and efficient; that is, that it achieves the objective for which it is created. The analysis was carried out using research techniques such as interviews with experts in chatbots development. The deductive method was used to analyse the information of the referenced articles. With the help of causal models and fuzzy cognitive maps it was possible to deduce and know how the factors affect each of the proposed scenarios.

Translated title of the contributionCausal models as an aid to understanding complex systems: Analysis of critical success factors in the development of chatbots
Original languageSpanish
Pages (from-to)64-72
Number of pages9
JournalUniversidad y Sociedad
Volume12
Issue number4
StatePublished - 2020

Bibliographical note

Publisher Copyright:
© 2020, University of Cienfuegos, Carlos Rafael Rodriguez. All rights reserved.

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