Journal of Logistics, Informatics and Service Science | 2026
Authors: Harazneh I.; Alnaqresh A.; Ibrahim H.M.H.; Haniyi A.K.M.A.; Helalat A.; Aloqaily M.F.Z.
DOI: 10.33168/JLISS.2026.0410
Journal: Journal of Logistics, Informatics and Service Science
Year: 2026
Publisher: Success Culture Press
Document Type: Article
Open Access: All Open Access; Gold Open Access
Cited by: 0
the tourism industry is the lifeblood of Jordan’s economy, but the rapid development of the industry puts pressure on the already scarce water resources, foreign energy supplies, and the environment. This research examines the effect of green hospitality on the environment and the economy of Jordan’s tourism industry and the moderating effect of authenticity. It also proposes AI-enabled sustainability management as an alternative technological capability for the monitoring, optimization, and verification of sustainability performance. Using secondary data sources for the years 2010-2023, the research employs time-series regression, ARDL Bounds testing, and the Granger causality test for the analysis of eco-certified hotels, renewable energy consumption, water consumption, waste generation, biodiversity investments, revenues, and employment. The results reveal that for every additional eco-certified hotel, water consumption per tourist night decreases by 0.032 m³, and waste generation decreases by 0.051 kg, but biodiversity investments increase. Green hospitality adoption also positively impacts profitability (β = 0.142), revenues (β = 0.173), and employment (β = 0.118). Authentic adoption of green hospitality has a greater effect than symbolic adoption. AI-enabled sustainability management is proposed as an alternative technological capability for the monitoring, optimization, and verification of sustainability performance. © 2026, Success Culture Press. All rights reserved.
Artificial intelligence; Authenticity; Green hospitality; Jordan; Sustainable tourism