Evidence map›Paper›PMID 39384577›Full record

ArticleScientific reports2024

Online reviews explain differences in coastal and inland tourists' satisfaction.

Giulia Contu, Cinzia Dessí, Carla Massidda, Marco Ortu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Giulia ContuDepartment of Business and Economics Sciences, University of Cagliari, Viale Fra Ignazio 17, Cagliari, Italy.
Cinzia DessíDepartment of Business and Economics Sciences, University of Cagliari, Viale Fra Ignazio 17, Cagliari, Italy.
Carla MassiddaDepartment of Business and Economics Sciences, University of Cagliari, Viale Fra Ignazio 17, Cagliari, Italy.
Marco OrtuDepartment of Business and Economics Sciences, University of Cagliari, Viale Fra Ignazio 17, Cagliari, Italy. marco.ortu@unica.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To achieve a comprehensive understanding of the factors influencing tourist satisfaction, there has recently been an increasing interest in the information provided by online reviews. In this regard, a rather unexplored issue concerns the causal relationship between topics and emotions expressed by consumers in the written text and their overall quality assessment given through a rating system. This study aims to contribute to filling this gap by investigating whether there are differences between coastal and inland Sardinian hotels in the topics and emotions expressed by online reviewers and how both affect customer satisfaction. To this end, we apply the new TOBIAS method which models the impact of topics, moods, and emotions contained in reviews on the level of satisfaction expressed by customers through the number of stars. The novelty of this method is that it combines natural language processing and causal inference to explain the customer's overall quality rating.

Indexed as

Consumer BehaviorPersonal SatisfactionEmotionsHumansInternetItalyTourism

Identifiers

PMID39384577
PMCPMC11464686

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.