Destination marketing organization (DMO) websites play a crucial role in influencing destination choice as more tourists in the digital age rely on the internet for travel-related information. This research note compares the functionality of DMO websites across three continents: Africa, Latin America, and Europe focusing on three countries (Morocco, Brazil, and Portugal). Based on an extensive framework developed by Li and Wang, this study carefully classifies and assesses website features using six dimensions (information, communication, transaction, relationship, technical merit, and brand gestalt cognition). The results offer destination marketing managers significant insights that aid in gap analysis and the improvement of website functionalities. In addition, the results of the research are applicable for evaluating website effectiveness and for deriving conclusions concern-ing management and business strategies. This research is also important for destinations as it provides practical opportunities for improving DMO websites, enhancing user engage-ment, and shaping destination choices in modern times.

This study explores decision-making processes in Community-Based Tourism (CBT) and proposes a framework for a Decision Support System (DSS) to guide rural tourism development. While tourism offers economic benefits and reduces inequality, many communities lack expert support in planning. To address this, the authors conducted a content analysis of research from the past decade using Scopus-indexed sources and Litmap mapping tools. An object-oriented approach was applied to identify key actors, indicators, and decision pathways in CBT. The resulting conceptual framework highlights how decisions are made and adjusted in rural tourism settings. This model serves as a foundation for a generalized DSS, offering communities a structured, adaptable tool for strategic planning and sustainable tourism management.