Integration of Latent Dirichlet Allocation and Quality Function Deployment to Analyze Hotel Service Quality Based on TripAdvisor

The main goals of this research are to determine customers’ requirements from hotels based on TripAdvisor and the technical capabilities to fulfill customers’ requirements. Latent Dirichlet Allocation (LDA) used in this research is the method to determine the customer requirements based on review fr...

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Detalles Bibliográficos
Autores: Sukwadi, Ronald, Atmaja, F.X. Brian Tristya, Chen, Gary Yu-Hsin
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:México
Institución:UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO
Repositorio:Journal of Applied Research and Technology
Idioma:inglés
OAI Identifier:oai:ojs2.localhost:article/1456
Acceso en línea:https://jart.icat.unam.mx/index.php/jart/article/view/1456
Access Level:acceso abierto
Palabra clave:hotel
service quality
Latent Dirichlet Allocation
Quality Function Deployment
Descripción
Sumario:The main goals of this research are to determine customers’ requirements from hotels based on TripAdvisor and the technical capabilities to fulfill customers’ requirements. Latent Dirichlet Allocation (LDA) used in this research is the method to determine the customer requirements based on review from TripAdvisor. An output from the LDA method is used as input to Voice of Customer (VOC) in the quality function deployment (QFD). A hotel is selected to be a case study for implementing the integration of LDA and QFD. Questionnaires are distributed to the respondents for the purposes of filling the QFD. The absolute weight, relative weight, absolute importance and relative importance from the QFD with the highest scores are determined as the major capabilities to fulfill customers’ requirements. Suggestion given to the hotel based on output from the QFD. The suggestions for the hotel in this research were unannounced inspections and notes for list of problem to be solved immediately by the hotel.