J 2021

Improving Service Quality Using Text Mining and Sentiment Analysis of Online Reviews

CHALUPA, Štěpán, Martin PETŘÍČEK and Karel CHADT

Basic information

Original name

Improving Service Quality Using Text Mining and Sentiment Analysis of Online Reviews

Name (in English)

Improving Service Quality Using Text Mining and Sentiment Analysis of Online Reviews

Authors

CHALUPA, Štěpán, Martin PETŘÍČEK and Karel CHADT

Edition

Quality - Access to Success, Bucharest, SRAC - Societatea Romana Pentru Asigurarea Calitatii, 2021, 1582-2559

Other information

Type of outcome

Článek v odborném periodiku

Confidentiality degree

není předmětem státního či obchodního tajemství

Organization unit

University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.

UT WoS

000651404500009

Keywords (in Czech)

online reviews; sentiment analysis; service evaluation; service quality; text analysis

Keywords in English

online reviews; sentiment analysis; service evaluation; service quality; text analysis.

Tags

International impact, Reviewed
Změněno: 5/6/2021 07:18, doc. Ing. Martin Petříček, Ph.D.

Abstract

V originále

The article is focused on the use of text mining and sentiment analysis of online reviews for securing a sustainable level of service quality in hotel operations. Previous studies focused mainly only on the concept extraction and customer needs and want identification. This study is using text and sentiment analysis of 3671 reviews collected from various booking and review sites during 2019 and interviews with general and HR managers. The results show that the drivers of high service quality evaluation are mainly the employees' training and development and creation of a sustainable workplace. The fluctuation of employees or a high proportion of part-time employees with a temporal commitment to the employer and a high level of stress is causing a lower level of service quality perception from costumers. Based on the results, education providers should build close cooperation with hoteliers to provide updated information and needed skills to their students, and hoteliers should focus on the creation of sustainable workplace with reduction of employee fluctuation. The training and development should be planned more than once per year, and the employees must be trained not only for standard procedures but as well in various other fields like stress management.

In English

The article is focused on the use of text mining and sentiment analysis of online reviews for securing a sustainable level of service quality in hotel operations. Previous studies focused mainly only on the concept extraction and customer needs and want identification. This study is using text and sentiment analysis of 3671 reviews collected from various booking and review sites during 2019 and interviews with general and HR managers. The results show that the drivers of high service quality evaluation are mainly the employees' training and development and creation of a sustainable workplace. The fluctuation of employees or a high proportion of part-time employees with a temporal commitment to the employer and a high level of stress is causing a lower level of service quality perception from costumers. Based on the results, education providers should build close cooperation with hoteliers to provide updated information and needed skills to their students, and hoteliers should focus on the creation of sustainable workplace with reduction of employee fluctuation. The training and development should be planned more than once per year, and the employees must be trained not only for standard procedures but as well in various other fields like stress management.