This research investigates smart hotel technologies with reference to adoption, effects, and challenges concerning guest satisfaction. A qualitative approach was employed. The research was a hybrid systematic review, following PRISMA guidelines and community discussions. Twenty participants from the hospitality sector shared their views. NVivo software was used for thematic analysis of focus group data. Findings have shown that IoT, AI, and smart rooms enhance personalization and convenience. However, major barriers include high costs, complexities, and data privacy concerns. Therefore, this study shows that smart tech does improve guest experiences, but implementation should be cautiously planned and conducted. It offers recommendations such as training programs, scalable investments, and strict data protection. Future studies are indicated within the context of effects and potential cross-cultural differences in guest expectations. Consequently, this study provides applied insight to the field of hospitality and future academia.