Travelling with open eyes! A study to measure consumers’ intention towards experiencing immersive technologies at tourism destinations by using an integrated model of TPB, TAM captured through the lens of S-O-R
研究整合计划行为理论和技术接受模型，在刺激-机体-反应框架下，调查了487名印度消费者在旅游目的地体验沉浸式技术的意愿，发现虚拟互动和社会互动影响态度和感知行为控制，而态度、感知行为控制、感知有用性和信任显著影响意愿。
Purpose Immersive technologies fully immerse users in augmented environments for interactive experiences. The purpose of this study is to measure consumers’ intention towards experiencing immersive technologies at tourism destinations using an integrated theory of planned behaviour (TPB) and technology acceptance model (TAM) model within the stimulus-organism-response (S-O-R) framework, including motivation (MOT), trust (TR) and perceived risk (PR). Design/methodology/approach The survey data was collected through convenience sampling via an online questionnaire, with a sample size of 487 Indians. Structural equation modelling was conducted using SPSS and AMOS software for data analysis, ensuring a robust examination of the proposed model and its relationships. Findings Virtual interactivity and social interaction influence both attitude and perceived behavioural control. Attitude, perceived behavioural control, perceived usefulness and TR significantly influence intention. However, MOT, PR and perceived ease of use do not exhibit a significant influence on intention. These findings highlight the importance of these variables in shaping consumers’ intention towards experiencing immersive technologies at tourism destinations. Research limitations/implications The findings hold significant implications for various stakeholders, including government agencies, travel firms, content creators and software developers. They can leverage these insights to enhance marketing strategies, develop immersive tourism experiences, innovate in the realm of Web 4.0 and personalize tourism offerings. Originality/value This study offers a distinctive contribution by integrating the S-O-R framework with TPB and TAM, while also incorporating key factors such as MOT, TR and PR. This novel approach provides a fresh perspective on consumer behaviour towards immersive technologies.