Fuzzy Delphi Method: A Step-by-Step Guide to Obtaining Expert Consensus on Mobile Tourism Acceptance Culture

Mobile technology has developed rapidly in a short period of time, which has greatly changed the tourism sector and led to the emergence of Mobile Tourism (MT). To ensure that MT grows well and is widely used, it is important to know how people from different cultures accept it. This study provides a complete description of how to use the Fuzzy Delphi Method (FDM) to obtain expert agreement on the most important factors that influence how acceptable mobile tourism is from a cultural perspective. This study uses the Technology Acceptance Model (TAM) and Hofstede's Cultural Dimensions to carefully find and confirm the variables and indicators and how they are interrelated. This approach describes a rigorous process with nine stages in reaching expert agreement. The results revealed that experts largely agreed on the variables related to perceived usefulness, perceived trust, perceived ease of use, and facilitating conditions in the TAM framework, as well as some variables of collectivism, uncertainty avoidance, and long-term orientation in Hofstede's cultural aspects. This study also verified and validated the overall relationship between variables in building the Mobile Tourism Cultural Acceptance (MTCA) framework, the general and specific interactions between variables, and the function of cultural dimensions as mediators. This study shows how important it is to get expert opinion when making a comprehensive plan on how to use technology in a culturally acceptable environment for mobile tourism. The information obtained has a major impact on mobile tourism developers, policy makers, and marketers who want to make MT more popular.

@article{Syaifullah2025,
  title     = {Fuzzy Delphi Method: A Step-by-Step Guide to Obtaining Expert Consensus on Mobile Tourism Acceptance Culture},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {16},
  number    = {7},
  year      = {2025},
  publisher = {The Science and Information Organization},
  author    = {Syaifullah and Shamsul Arrieya Ariffin and Norhisham Mohamad Nordin},
  doi       = {10.14569/IJACSA.2025.0160756},
  url       = {https://doi.org/10.14569/IJACSA.2025.0160756}
}