Canonical text (the exact bytes fingerprinted)

TRUVACE RECORD VERSION
record: TRV-2026-1647
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-10-17T01:10:06.655854Z
status: published
lens: g_space
sector: business
headline: The Role of Digital Leadership and Artificial Intelligence in Sustainable Tourism Strategies: Evidence from Turkey
dek: This study investigates how digital leadership and artificial intelligence (AI) contribute to the development of sustainable tourism strategies, focusing on the context of the Turkish hospitality industry. The central research question examines how digital leadership practices guide the strategic use of AI technologies toward sustainability-oriented outcomes. Grounded in digital leadership theory and the triple bottom line sustainability framework, the study adopts a qualitative multiple case study design. Data…
gain_title: Across four Turkish hotel groups, documented AI applications were associated with better operational efficiency, personalized service and environmental management, including energy and resource savings and lower carbon footprint.
problem_title: (none)
trace_subject: (none)
gain_reading: Across four Turkish hotel groups, documented AI applications were associated with better operational efficiency, personalized service and environmental management, including energy and resource savings and lower carbon footprint.
gain_evidence: AI-enabled applications support sustainability by enhancing operational efficiency, enabling personalized service delivery, and improving environmental management practices | energy efficiency, resource optimization, and carbon footprint reduction
problem_reading: (none)
problem_evidence: (none)
quick_read: Researchers examined how digital leadership shapes the way hotels use artificial intelligence for sustainability goals. They studied four leading Turkish hotel groups, Rixos Hotels, Titanic Hotels, Maxx Royal Hotels and The Marmara Hotels, using their sustainability reports, strategic plans and public digital transformation materials.

The work suggests that AI delivers sustainability value in hospitality when leaders pair it with ethics, innovation and staff skills, which matters for managers and policymakers in emerging tourism economies. Because the evidence comes from company-published documents at four large groups, it shows reported practices rather than independently measured environmental results.
limitation: The evidence is drawn from documents such as sustainability reports and publicly available materials from only four hotel groups, so it reflects reported practices in a small qualitative sample.
tag: Evidence-backed gain
key_points: The study used a qualitative multiple case study design with thematic analysis of documents. | Four Turkish hotel groups were examined: Rixos, Titanic, Maxx Royal and The Marmara. | AI applications were linked to operational efficiency, personalized service and environmental management. | Environmental areas named include energy efficiency, resource optimization and carbon footprint reduction. | Ethical responsibility, innovation orientation and employee digital capability were tied to competitiveness and long-term sustainability.
rundown: The research is framed by digital leadership theory and the triple bottom line sustainability framework. Its central question is how digital leadership practices guide the strategic use of AI toward sustainability-oriented outcomes in Turkish hospitality.

Data came from document analysis rather than interviews or measurements: sustainability reports, strategic plans and publicly available digital transformation materials. Thematic analysis was used to identify recurring patterns and strategic practices across the four groups.

The authors propose an applied strategic framework that treats digital leadership as a governance mechanism directing AI technologies toward sustainability objectives, and say the insights can help managers and policymakers integrate digital transformation with sustainable tourism strategies.
sources:
- peer_reviewed | Paradigma: İktisadi ve İdari Araştırmalar Dergisi | https://doi.org/10.37989/paradigmaiiad.1877705 | 2026-10-15
prev: 0000000000000000000000000000000000000000000000000000000000000000

sha256

31a0506b2b93d4d9ab537540f807fdbd7cd18ae174f5507ad77873d8953ff5ab

previous

0000000000000000000000000000000000000000000000000000000000000000