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This study aims to characterize remote workers’ Airbnb experiences through the cognitive outcomes of their experiences and to consider the differences between long and short stays.

The structural topic model methodology was used to identify relevant topics. Data were collected from InsideAirbnb for Lisbon, Portugal and Austin, Texas, USA, for 2022 and early 2023, focusing on reviews that mentioned remote work.

The Airbnb experiences of remote workers and digital nomads are characterized as professionals who express mostly affective outcomes, but also have behavioral and nonaffective outcomes during their stay. In addition, the findings support the moderating role of length of stay and city.

This paper contributes to the literature by exploring how length of stay affects the priorities of remote workers on Airbnb, highlighting the different needs of long-term and short-term stays, and helping to consolidate and clarify the scattered research on customers’ long-term experiences in tourism and hospitality.

The Airbnb experience of remote workers is the highly valued as evidenced by the high rate of commending reviews indicating a willingness to stay there again. It is suggested that Airbnb hosts continue their helpful role and ensuring the functionality and availability of essential facilities and emphasizing neighborhood amenities specific to long and short stays. ChatGPT4 was found to be valuable for extracting data and assigning topic labels.

This study uses a novel structural topic model, augmented with ChatGPT4, to analyze Airbnb customer reviews that mention remote work, thereby improving inferences about the characterization of remote workers.

The purpose of this paper is to identify the critical success factors of emblematic hotels from the perspective of the guest, by analysing the direct activities that make up the value chain of these types of establishments.

The authors use the case study methodology to derive conclusions that contribute to the development of a theory about the success factors of emblematic hotels. The case selected is the Spanish Tourist Parador chain. The authors carried out over a period of two years a data mining analysis of the online comments posted by its guests.

The results indicate that the attributes of location and facilities are critical success factors expected a priori given the nature of the business of such establishments, based on the singular nature of the buildings. Another critical success factor is personnel, which seems to indicate that the Paradors support their business model by employing highly qualified staff, but give less attention to restaurant services or the room, according to guest perceptions.

The paper provides required evidence on the critical success factors of emblematic hotels adapting Porter’s value chain, for the tourism accommodation sector, through the analysis of direct value chain activities. In addition, the existing literature is broadened by taking a perspective scarcely studied, the guest perception of hotel establishments, online content posted by the user on the establishment’s website, rather than simply considering the traditional views of the experts/managers, through structures questionnaires. Besides, the results provide practical and useful implications for the managements of the emblematic hotels under study.