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Sentiment analysis based information architecture model for peruvian sustainable tourism smes

  • Universidad Peruana de Ciencias Aplicadas
  • Universidad Rey Juan Carlos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In the current market, small and medium-sized enterprises experience a wide margin of loss due to poor control in logistical expenses, leading to acquired goods not being sold. This scenario is very common for tourism retail companies, who buy a number of travel packages from big companies and because of the lack of demand for these packages, they expire and become an expense, rather than an investment as intended. To solve this problem, we propose to detect the problems that limit a company through a reengineering of processes, and thus implement an information architecture model based on sentimental analysis that will allow tourist SMEs to make better decisions and utilize the information that most already possess. In addition, a case study was applied to a real company, showing data before and after using the proposed model in order to validate the feasibility of the model.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Tourism Research, ICTR 2018
EditorsMinna Tunkkari-Eskeline, Anne Törn-Laapi
PublisherAcademic Conferences and Publishing International Limited
Pages176-184
Number of pages9
ISBN (Print)9781911218760
StatePublished - 2018
EventInternational Conference on Tourism Research, ICTR 2018 - Jyväskylä, Finland
Duration: 23 Mar 201824 Mar 2018

Publication series

NameProceedings of the International Conference on Tourism Research
ISSN (Electronic)2516-3612

Conference

ConferenceInternational Conference on Tourism Research, ICTR 2018
Country/TerritoryFinland
CityJyväskylä
Period23/03/1824/03/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Big Data
  • Business Architecture
  • Business Model
  • Cloud Computing
  • Data Analysis
  • Process Improvement
  • Sentiment Analysis
  • Tourism Sector
  • Travel Management Process

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