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Extracting Relevant Quality Dimensions from Online Customer Reviews in Accommodation Services

  • Marlene AmorimEmail author
  • Mário Rodrigues
  • Carina Fidalgo
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 281)

Abstract

Electronic word-of-mouth (eWOM) has a key influence on customers’ consumption decisions, often outperforming company efforts like personal sales or advertising for its ease of access and for being perceived as more trustworthy. The volume of information released online by customers has become overwhelming. As communication technologies evolve, the volume and reach of customer voices grow at an unpreceded pace, and making sense of all the available information becomes a challenge for both customers and providers. This study applies an importance-performance analysis for identifying salient quality attributes from eWOM, offering an efficient approach for extracting information and identifying priorities for service improvement.

Keywords

Service quality eWOM User generated content Information extraction Importance-performance analysis 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Marlene Amorim
    • 1
    Email author
  • Mário Rodrigues
    • 2
  • Carina Fidalgo
    • 3
  1. 1.GOVCOPP & Department of Economics, Management and Industrial Engineering and TourismAveiro UniversityAveiroPortugal
  2. 2.IEETA & ESTGA, Aveiro UniversityAveiroPortugal
  3. 3.Department of Economics, Management and Industrial Engineering and TourismAveiro UniversityAveiroPortugal

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