Purpose: The purpose of this paper is to: study the relative efficiency between hotels operating under a brand and hotels operating independently, on the island of Crete, Greece; identify the inefficiency causes; and suggest managerial implications to relevant business experts and managers in order to increase hotel efficiency in Crete and in other tourism destinations with similar characteristics.Design/methodology/approach: The sample is constituted by 50 superior hotels (luxury and class A) operating in Crete in 2008: 25 hotels are operating as totally independent and 25 hotels are operating under a brand. The efficiency for the above hotels is estimated through the data envelopment analysis methodology.Findings: First, nationally branded hotels are relatively the most efficient; internationally branded are the least efficient, while those operating under a local brand and the independent ones lie in between. This efficiency ranking can be explained by the interplay between operating under a brand and being flexible to changes in the local market's conditions. Second, the hotels' inefficiency cause is mainly due to the input/output configuration and not due to their management teams' performance to organize the inputs in the production process.Research limitations/implications: A direction for future research could be to enrich input and output variables. The paper could also be extended through a larger sample of hotels and an enriched data set covering more variables for more than one year, so as to study the dynamics of hotel efficiency. The larger sample could also contain hotels from other popular tourist destinations in Greece.Practical implications: The inefficiency causes are identified and, moreover, suggestions are made to hotel owners and managers, at the level of strategic and operational management, so as to increase hotel efficiency.Originality/value: This is the first study measuring hotel efficiency in Greece. Moreover, it identifies the inefficiency causes of hotels and offers suggestions, at the level of strategic and operational management, so as to increase hotel efficiency, which are applicable to Crete as well as to other tourism destinations with similar characteristics.

This paper charts AI’s transformative path toward advancing sustainability within art museums, introducing a Human–AI compass as a conceptual framework for navigating its integration. It advocates for human-centric AI that optimizes operations, modernizes collection management, and deepens visitor engagement—anchored in meaningful human–technology synergy and thoughtful human oversight. Drawing on extensive literature review and real-world museum case studies, the paper explores AI’s multifaceted impact across three domains. Firstly, it examines how AI improves operations, from audience forecasting and resource optimization to refining marketing, supporting conservation, and reshaping curatorial practices. Secondly, it investigates AI’s influence on digital collection management, highlighting its ability to improve organization, searchability, analysis, and interpretation through automated metadata and advanced pattern recognition. Thirdly, the study analyzes how AI elevates the visitor experience via chatbots, audio guides, and interactive applications, leveraging personalization, recommendation systems, and co-creation opportunities. Crucially, this exploration acknowledges AI’s complex challenges—technical-operational, ethical-governance, socioeconomic-cultural, and environmental—underscoring the indispensable role of human judgment in steering its implementation. The Human-AI compass offers a balanced, strategic approach for aligning innovation with human values, ethical principles, museum mission, and sustainability. The study provides valuable insights for researchers, practitioners and policymakers, enriching the broader discourse on AI’s growing role in the art and cultural sector.