Abdellah Saoualih
Biographic Data
| ID | 6295154 |
|---|---|
| NAME | Abdellah Saoualih |
| GIVEN NAMES | Abdellah |
| FAMILY NAME | Saoualih |
| SIGNATURE | SAOUALIH A |
| AFFILIATIONS | Cadi Ayyad University |
| ORCID | 0000-0002-9696-1062 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Diagnosing unperceived values in tourist dissatisfaction across the European route of industrial heritage
This study examines how unperceived values drive tourist dissatisfaction at European industrial heritage sites. Using 4,261 negative Google reviews from 67 sites in 12 countries, it applies a semantic text mining to map dissatisfaction within an inverted value-based framework. The results show that functional issues predominate, ranging from infrastructural decay and operational mismanagement to accessibility gaps, service inconsistencies, and en…
Assessing UN SDGs Operationalization in Sustainable Tourism Development
This study examines how the United Nations (UN) Sustainable Development Goals (SDGs) are operationalized in the empirical literature on sustainable tourism development (STD). Methodologically, a corpus of 39 studies was retained from Scopus and Web of Science after a systematic screening process. Abstract text mining was used through an unsupervised machine learning model to identify thematic structures across the literature. The resulting topics…
Tourism and Heritage
A Decade of Empirical Research into the Careers of Visual Artists
Computational mining of empirical literature on forest recreation
This paper conducts a thematic literature review of advancements in forest recreation research. Methodologically, we analyzed a corpus of empirical articles in economics and management published between 2015 and 2024, sourced from the Scopus and Web of Science databases. Using the BERTopic algorithm for semantic topic modeling, we identified six distinct topics, each highlighting specific aspects and geographical diversity in forest recreation. T…
Sustainable Business Management in Higher Education Institutions
This thematic review examines how the empirical literature has addressed sustainable business management (SBM) in higher education institutions (HEIs), identifies the thematic trajectories that have emerged, and diagnoses the existing gaps in order to inform the future research agenda. The analysis draws on a corpus of 107 studies published between 2020 and 2024, retrieved from Scopus and Web of Science. Using abstract‐based semantic text mining …
A thematic investigation of tourist experiential gaps in Moroccan cultural heritage museums using a sentiment-guided Bertopic text mining approach
Tourism Development through the Sense of Unesco World Heritage
This study explores the perception of a “sense of place” among tourists visiting Hegra, an archaeological site in northern Saudi Arabia, through reviews on TripAdvisor. The 267 reviews on TripAdvisor between 2020 and 2023 were analyzed using the VADER sentiment polarity analysis tool and object modeling using the NMF machine learning algorithm. The results highlight positive factors linked to the history and uniqueness of the place while showing …
Des technologies et des destinations touristiques intelligentes
Réseaux intelligents, destinations intelligentes, villes intelligentes.... sont des concepts qui ont le vent en poupe ces dernières années. Ils sont les composantes d’une rhétorique qui prônent des idéaux technos/éco systémique à travers le déploiement des technologies dites « intelligentes », de la gestion optimisée de l’énergie, pour in fine prétendre participer à l’amélioration de la qualité de vie des résidents et des touristes. Cette contrib…
Tourism Development through the Sense of Unesco World Heritage
This study explores the perception of a “sense of place” among tourists visiting Hegra, an archaeological site in northern Saudi Arabia, through reviews on TripAdvisor. The 267 reviews on TripAdvisor between 2020 and 2023 were analyzed using the VADER sentiment polarity analysis tool and object modeling using the NMF machine learning algorithm. The results highlight positive factors linked to the history and uniqueness of the place while showing …
Des technologies et des destinations touristiques intelligentes
Réseaux intelligents, destinations intelligentes, villes intelligentes.... sont des concepts qui ont le vent en poupe ces dernières années. Ils sont les composantes d’une rhétorique qui prônent des idéaux technos/éco systémique à travers le déploiement des technologies dites « intelligentes », de la gestion optimisée de l’énergie, pour in fine prétendre participer à l’amélioration de la qualité de vie des résidents et des touristes. Cette contrib…
Tourism Development through the Sense of Unesco World Heritage
This study explores the perception of a “sense of place” among tourists visiting Hegra, an archaeological site in northern Saudi Arabia, through reviews on TripAdvisor. The 267 reviews on TripAdvisor between 2020 and 2023 were analyzed using the VADER sentiment polarity analysis tool and object modeling using the NMF machine learning algorithm. The results highlight positive factors linked to the history and uniqueness of the place while showing …
Tourism and Heritage
A Decade of Empirical Research into the Careers of Visual Artists
Computational mining of empirical literature on forest recreation
This paper conducts a thematic literature review of advancements in forest recreation research. Methodologically, we analyzed a corpus of empirical articles in economics and management published between 2015 and 2024, sourced from the Scopus and Web of Science databases. Using the BERTopic algorithm for semantic topic modeling, we identified six distinct topics, each highlighting specific aspects and geographical diversity in forest recreation. T…
Sustainable Business Management in Higher Education Institutions
This thematic review examines how the empirical literature has addressed sustainable business management (SBM) in higher education institutions (HEIs), identifies the thematic trajectories that have emerged, and diagnoses the existing gaps in order to inform the future research agenda. The analysis draws on a corpus of 107 studies published between 2020 and 2024, retrieved from Scopus and Web of Science. Using abstract‐based semantic text mining …
A thematic investigation of tourist experiential gaps in Moroccan cultural heritage museums using a sentiment-guided Bertopic text mining approach
Diagnosing unperceived values in tourist dissatisfaction across the European route of industrial heritage
This study examines how unperceived values drive tourist dissatisfaction at European industrial heritage sites. Using 4,261 negative Google reviews from 67 sites in 12 countries, it applies a semantic text mining to map dissatisfaction within an inverted value-based framework. The results show that functional issues predominate, ranging from infrastructural decay and operational mismanagement to accessibility gaps, service inconsistencies, and en…
Assessing UN SDGs Operationalization in Sustainable Tourism Development
This study examines how the United Nations (UN) Sustainable Development Goals (SDGs) are operationalized in the empirical literature on sustainable tourism development (STD). Methodologically, a corpus of 39 studies was retained from Scopus and Web of Science after a systematic screening process. Abstract text mining was used through an unsupervised machine learning model to identify thematic structures across the literature. The resulting topics…
Tourism (6 works) · Diverse Aspects of Tourism Research (5 works) · Archaeology (3 works) · Geography (3 works) · Heritage tourism (3 works) · Political science (3 works) · Thematic analysis (3 works) · Business (2 works) · Computer Science (2 works) · Cultural heritage (2 works)