“Guest Attitudes to the Use of Smart Technology in Hospitality- A Study on Bangladesh”
Rattachement africain : bd. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
It is thought that firms in the twenty-first century who do not adapt to the present technology revolution are more likely to experience a decline in their development. Industries all across the world have come to understand how important smart technology is to achieving ongoing growth and profitability. The globe has undergone significant changes and advancements in the previous ten years related to digitization. Artificial Intelligence, Robotics, and Service Automation are just a few of the smart technologies that have emerged as a result of the evolution and development of digitalization. These technologies have led the way to higher productivity, greater economy, greater efficiency, improved safety, and greater convenience. Understanding how customers feel about the adoption of artificial intelligence, robotics, and service automation in the hotel business is crucial at this point. The extended AIDUA Model was used in this study to survey the guests who will be using Artificial Intelligence, Robotics, and Service Automation services in the hotels to learn how they would and would not like to see in terms of the adoption of these technologies in hotel services of Bangladesh. The study concentrated on different smart technology methods that are applied globally in the hotel business. In a broader sense, automation might be seen as a physical replacement for human workers.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- “Guest Attitudes to the Use of Smart Technology in Hospitality- A Study on Bangladesh”
- Date Crossref
- 24/12/2025
- Éditeur
- RSIS International
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.