Analysis of customer satisfaction using surveys with open questions

  1. José Amelio Medina-Merodio 1
  2. Carmen de Pablos-Heredero 2
  3. María Lourdes Jiménez-Rodríguez 1
  4. Luis de Marcos-Ortega 1
  5. Roberto Barchino-Plata 1
  6. Daniel Rodríguez-García 1
  7. Daniel Gómez-Aguado 1
  1. 1 Universidad de Alcalá
    info
    Universidad de Alcalá

    Alcalá de Henares, España

    ROR https://ror.org/04pmn0e78

    Geographic location of the organization Universidad de Alcalá
  2. 2 Universidad Rey Juan Carlos
    info
    Universidad Rey Juan Carlos

    Madrid, España

    ROR https://ror.org/01v5cv687

    Geographic location of the organization Universidad Rey Juan Carlos
Journal:
DYNA: revista de la Facultad de Minas. Universidad Nacional de Colombia. Sede Medellín

ISSN: 0012-7353

Year of publication: 2014

Volume: 81

Issue: 188

Pages: 92-99

Type: Article

DOI: 10.15446/DYNA.V81N188.40144 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: DYNA: revista de la Facultad de Minas. Universidad Nacional de Colombia. Sede Medellín

Sustainable development goals

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SDG classification obtained using Aurora SDG artificial intelligence model.

Abstract

In this paper the use of open-ended questionnaires to improve the evaluation of customer satisfaction according to ISO 9001 in small and medium-sized enterprises is analyzed. By obtaining more information in comparison to the closed questions questionnaire some limitations coming from the second one are removed. The open-ended questionnaire is analyzed by applying a semantic study to obtain the root of each word and remove the word that is not relevant for the information needs of the organization. This way the positive or negative trend for each response is identified. This study proofs that the use of open-ended questionnaires facilitates the fulfilment of the ISO 9001 standard. It allows the comparison between the data coming from the Customer Relationship Management System (CRM) and the data obtained through the questionnaire. Furthermore it opens new areas of research based in the use of semantic analysis in quality systems and marketing.