A Mobile Decision Support Web 2.0 Service to Improve the Customers Satisfaction in their M-Commerce Experiences

  • Authors:
  • I. J. Pérez;S. Alonso;F. J. Cabrerizo;E. Herrera-Viedma

  • Affiliations:
  • Dept. of Computer Science and Artificial Intelligence, University of Granada, 18071 --Granada, Spain. E-mail: ijperez@decsai.ugr.es, viedma@decsai.ugr.es;Dept. of Software Engineering, University of Granada, 18071 --Granada, Spain. E-mail: zerjioi@ugr.es;Dept. of Software Engineering and Computer Systems, Distance Learning University of Spain (UNED), 28040 --Madrid, Spain. E-mail: abrerizo@issi.uned.es;Dept. of Computer Science and Artificial Intelligence, University of Granada, 18071 --Granada, Spain. E-mail: ijperez@decsai.ugr.es, viedma@decsai.ugr.es

  • Venue:
  • Proceedings of the 2009 conference on Techniques and Applications for Mobile Commerce: Proceedings of TAMoCo 2009
  • Year:
  • 2009

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Abstract

The aim of this paper is to present a new mobile decision support web service applied to improve the customer satisfaction in decision making situations related with m-commerce. The application is included as a new mobile web service under a social net framework such as web 2.0. It allows that users with the same user profile that the potential customer can act as a set of shop assistants that advices him/her according with their experiences. To facilitate the system-user interaction the service uses computing with words tools and implements an ease to use mobile interface. Therefore, users can provide their advice at anytime and anywhere by using their own mobile devices.