An agent-based model to study customers' engagement with brands from a service-dominant logic perspective
Terano, Takao (Tokyo Institute of Technology)
Rajapakse, Chathura (Tokyo Institute of Technology)

Date: 2014
Abstract: We present an Agent-based Model to study customers' engagement with brands from a Service-Dominant Logic perspective. Customer Engagement has gained attention recently in the study of customer loyalty as a process that enables to understand and measure the impact of the depths of customers emotional responses to consumption situations on their intention to retain with a particular brand. However, there is no adequate research that deeply investigate the process of engagement, especially in dynamic, competitive and complex market environments. We address this research gap by creating an agent-based artificial market model. In doing so, we base our model on Service- Dominant Logic, which offers a novel lens to look at markets and their interactions and on the customer engagement process model of Bowden to implement customers engagement with a brand. This paper basically presents a logical discussion on the formulation of the model and some initial outcomes.
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Language: Anglès
Document: Comunicació de congrés
Subject: Study customers ; Agent-based model ; Computational social science ; Social simulation
Published in: Social Simulation Conference. Bellaterra, Cerdanyola del Vallès, 1a : 2014

Podeu consultar la compilació de les ponències presentades a Social Simulation Conference a: https://ddd.uab.cat/record/125597


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The record appears in these collections:
Contributions to meetings and congresses > Papers and communications > UAB papers and communications

 Record created 2015-01-12, last modified 2024-05-25



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