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July 6, 2026Journal of Hospitality and Tourism Insights

Explainable co-creation: a generative AI model of guest engagement and experiential value in star-rated hotels

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Authors

BKBenard KorankyeKYKaigang YiPBPrasad Siba Borah

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Overview

Randomized trial explores generative AI's impact on guest engagement and experiential value in hospitality, suggesting practical enhancements.

Key Points

  • This study seeks to understand how generative AI co-creation quality affects guests' experiential value in hotels.
  • Data collected from 501 guests in star-rated hotels in Ghana and Nigeria.
  • Tested a moderated mediation model using partial least squares structural equation modeling.
  • Employed the PROCESS approach in SmartPLS for analysis.
  • Generative AI co-creation quality significantly enhances experiential value (p < 0.05).
  • Cognitive engagement partially mediates co-creation quality and experiential value relation with a notable effect size.
  • Higher AI explainability strengthens the relationship between cognitive engagement and experiential value outcomes.

Cite This Study

Korankye et al. (2026) studied this question.

synapsesocial.com/papers/6a4b45da997070ff83b5b679https://doi.org/10.1108/jhti-10-2025-1260
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Humanized artificial intelligence in tourism: drivers of traveler adoption and value co-creation2026
  2. 2How host-guest interaction types shape value co-creation in urban tourism: The moderating role of AI technology stimuli.2026
  3. 3Artificial intelligence’s role in customer value creation and co-creation in tourism and hospitality: systematic review and framework2026
  4. 4Beyond the brand promise: co-creating unforgettable guest experiences2026
  5. 5Generative AI in hospitality and tourism: a dual-stakeholder perspective on tourist and workforce experience dynamics2026 · 5 citations