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Journal of Intelligent Information Systems

, Volume 53, Issue 3, pp 563–585 | Cite as

Business information architecture for successful project implementation based on sentiment analysis in the tourist sector

  • Gianpierre Zapata
  • Javier Murga
  • Carlos RaymundoEmail author
  • Francisco Dominguez
  • Javier M. Moguerza
  • Jose Maria Alvarez
Article

Abstract

In the today’s market, there is a wide range of failed IT projects in specialized small and medium-sized companies because of poor control in the gap between the business and its vision. In other words, acquired goods are not being sold, a scenario which is very common in tourism retail companies. These companies buy a number of travel packages from big companies and due to lack of demand for these packages, they expire, becoming an expense, rather than an investment. To solve this problem, we propose to detect the problems that limit a company by re-engineering the processes, enabling the implementation of a business architecture based on sentimental analysis, allowing small and medium-sized tourism enterprises (SMEs) to make better decisions and analyze the information that most possess, without knowing how to exploit it. In addition, a case study was applied using a real company, comparing data before and after using the proposed model in order to validate feasibility of the applied model.

Keywords

Data governance Enterprise architecture Business model Process improvement Tourism management 

Notes

Acknowledgments

This work has been partially funded by the following projects of the Spanish Ministry of Science, Innovation and Universities GROMA (MTM2015-63710-P), MODAS-IN (reference: RTI2018-094269-B-I00), PPI (RTC-2015-3580-7) and UNIKO (RTC-2015-3521-7), and the “methaodos.org” research group at URJC.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Ingeniería de Sistemas de InformaciónUniversidad Peruana de Ciencias AplicadasLimaPerú
  2. 2.Ingeniería de SoftwareUniversidad Peruana de Ciencias AplicadasLimaPerú
  3. 3.Escuela Superior de Ingeniería InformáticaUniversidad Rey Juan CarlosMadridEspaña
  4. 4.Department of Computer Science and EngineeringUniversidad Carlos IIIMadridSpain

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