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Survey of 482 hotel and travel staff links AI readiness to more sustainable work habits
Study title: Thriving with AI: How Employee AI Readiness Translates into Sustainable Work Behavior Through Service Innovation in Hospitality and Tourism Industry
- Evidence type
- Survey
- Sample
- n = 482
- Sources
- 1 sourcePeer-reviewed
- Published
- 1 min read
- Truvace record
- TRV-2026-2645cite or check it
Study title: Thriving with AI: How Employee AI Readiness Translates into Sustainable Work Behavior Through Service Innovation in Hospitality and Tourism Industry
A study of 482 employees at five-star hotels and travel agencies found that workers who were more ready for AI reported more digital thriving at work and more service innovation behavior. Both were in turn linked to more sustainable work behavior.
Read the study abstract
Artificial intelligence is fundamentally reshaping work in hospitality and tourism, yet limited research has examined how employees’ AI readiness is associated with psychological and behavioral outcomes with sustainability implications. Drawing on Conservation of Resources Theory, this study investigates the relationships between employee AI readiness, digital thriving at work, service innovation behavior, and sustainable work behavior, with particular attention to the mediating roles of digital thriving and ser…
The gain
In a survey of 482 employees at five-star hotels and travel agencies, higher AI readiness went with more digital thriving and service innovation, and the model explained 74% of the variance in sustainable work behavior.
In brief
Digital thriving partly explained the link between AI readiness and both service innovation and sustainable work behavior. The model accounted for 74% of the variance in sustainable work behavior. The study ties the findings to the UN Sustainable Development Goals 8, 9, 12 and 13.
The data are cross-sectional and self-reported, so the results show associations rather than proof that readiness causes the outcomes. The authors call for longitudinal, multi-source research in other settings.
Main points
- The sample was 482 employees from five-star hotels and travel agencies, analysed with PLS-SEM.
- AI readiness was positively associated with digital thriving and with service innovation behavior.
- Digital thriving was positively associated with both service innovation behavior and sustainable work behavior.
- Service innovation behavior was positively associated with sustainable work behavior.
- The indirect effect of digital thriving on sustainable work behavior through service innovation behavior was not statistically significant.
The full story
The study draws on Conservation of Resources Theory, which treats AI readiness as a resource that employees can use to build psychological and behavioral gains. It tested links between AI readiness, digital thriving, service innovation behavior and sustainable work behavior.
Digital thriving partially mediated the links from AI readiness to service innovation and to sustainable work behavior. The proposed chain from digital thriving through service innovation to sustainable work behavior did not reach statistical significance.
The authors recommend that hospitality and tourism organisations invest in employee AI readiness, support digital thriving and tie service innovation to sustainability goals.
Sources
1 on file- Societiesdoi:10.3390/soc16100329
Talk it over
Who gets this benefit, and who was left out of the study or story?
Survey of 482 hotel and travel staff links AI readiness to more sustainable work habitshttps://truvace.com/item/thriving-with-ai-how-employee-ai-readiness-translates-into-sustainable-work-beha
Who gets this benefit, and who was left out of the study or story?
The gain In a survey of 482 employees at five-star hotels and travel agencies, higher AI readiness went with more digital thriving and service innovation, and the model explained 74% of the variance in sustainable work behavior.
Answer in the threadHow do we know? What can this kind of evidence show, and what can’t it?
The evidence This rests on a survey with a sample of 482, from Societies.
Answer in the threadWhat does it leave open? What else would you want to know before acting on it?
The record’s own caveat The study used a cross-sectional design and self-reported data, so it cannot establish causation and needs longitudinal, multi-source testing across other contexts.
Answer in the threadHave you seen AI used this way where you study, work or live? Did it go the same way?
Answer in the thread
The questions are the same on every record. The details under them are taken from this record as written.
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