Limited empirical evidence exists on the organizational factors influencing the adoption of AI-enabled Digital Twins in hospitality
Research gap analysis derived from 3 engineering papers in our local library.
The gap
Limited empirical evidence exists on the organizational factors influencing the adoption of AI-enabled Digital Twins in hospitality. There is a need to investigate the determinants of AI-enabled Digital Twin adoption in the hospitality indu
Evidence profile
Sourced from the limitations and stated research gap and abstract of the source papers, classified as general, spanning 3 journals. Those papers have been cited 3 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Working Smarter with AI in Hotel Industry: How Awareness Fuels Eustress, Task Crafting, and Adaptation (2026) · Societies · cited 3× · doi
While the hospitality sector provides a particularly relevant setting due to its dynamic service demands and intensive human–technology interaction, future research could examine whether the proposed rela- tionships hold in other industries, such as healthcare, retail, or logistics, where AI adoption manifests differently. Future research could examine how demographic characteristics such as age, tenure, education level, or job position shape the strength of the proposed relationships.
generallimitationsKeywords: future examine proposed hospitality sector provides particularly relevant setting dynamic service demands intensive human technology - Organizational adoption of AI-driven digital twins: evidence from the hospitality industry (2026) · Frontiers in Artificial Intelligence · doi
Limited empirical evidence exists on the organizational factors influencing the adoption of AI-enabled Digital Twins in hospitality. There is a need to investigate the determinants of AI-enabled Digital Twin adoption in the hospitality industry across countries with different levels of digital maturity and institutional development.
generalstated research gapevidence 5/5Keywords: limited empirical evidence exists organizational factors influencing adoption - The human and the machine: an actor-network theory analysis of artificial intelligence’s role in the tourism and hospitality ecosystems (2026) · Journal of Hospitality and Tourism Insights · doi
Purpose This study examines how guests interact with artificial intelligence (AI) technologies in tourism and hospitality settings using actor-network theory (ANT), addressing critical gaps in understanding AI adoption patterns, variations in guest satisfaction and the formation of stable human-technology networks across different traveler segments and service touchpoints.
generalabstractevidence 5/5Keywords: purpose examines guests interact artificial intelligence technologies tourism hospitality settings using actor network theory addressing
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