FACTORS INFLUENCING THE INTENTION TO USE IN-ROOM TECHNOLOGY IN SMART HOTELS

Abstract

The objective of this research was to study the factors influencing the intention to use in-room technology in smart hotels, based on the Technology Acceptance Model (TAM) and Consumer Value Theory. The sample consisted of individuals who had never used smart hotel rooms. Data were collected using an online questionnaire through convenience sampling and analyzed using inferential statistics, specifically multiple regression analysis at a significance level of 0.05. The results revealed that all six factors—perceived usefulness, perceived ease of use, attitude toward use, functional value, emotional value, and social value—significantly influenced the intention to use in-room technology in smart hotels at the 0.05 significance level. Among these, emotional value and attitude toward use were found to have the strongest influence. The proposed model could explain 52.3% of the variance in technology acceptance behavior, indicating a high and statistically significant level of explanatory power for users’ decision-making.