2023
DOI: 10.1108/jhtt-05-2021-0157
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Influencing factors on the intention of sharing heritage tourism experience in social media

Abstract: Purpose Combining technology acceptance model and the theory of planned behavior, this study aims to analyze influencing factors on intention of sharing heritage tourism experience in social media from technological, psychological and experience perspectives. The moderating effects of age and gender are also tested. Design/methodology/approach This study applies a quantitative method using online questionnaires. A total number of 323 questionnaires are collected. The data are analyzed using partial least squ… Show more

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Cited by 8 publications
(2 citation statements)
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References 85 publications
(192 reference statements)
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“…Behavioral intention is the likelihood of a consumer adopting the MIM-based ORC (Ajzen and Fishbein, 1980). According to He et al (2023) and Lin and Rasoolimanesh (2023), customers' PEOU enhances their PU of a technology. When customers find a new technology both easy to use and useful, they are more likely to evaluate it positively, which in turn fosters a stronger intention to adopt it.…”
Section: Technology Acceptance Modelmentioning
confidence: 99%
“…Behavioral intention is the likelihood of a consumer adopting the MIM-based ORC (Ajzen and Fishbein, 1980). According to He et al (2023) and Lin and Rasoolimanesh (2023), customers' PEOU enhances their PU of a technology. When customers find a new technology both easy to use and useful, they are more likely to evaluate it positively, which in turn fosters a stronger intention to adopt it.…”
Section: Technology Acceptance Modelmentioning
confidence: 99%
“…TAM has been frequently applied in the tourism field, particularly in the context of VR. Various studies have used TAM to comprehend behavioral frameworks related to VR, including understanding tourists’ adoption of mobile technologies (Kim et al , 2008), experiences and behavioral intentions of tourists in a 3D tourism destination (Huang et al , 2013a), determining tourists’ online purchase intentions for tourism products and services with the addition of PR variable (Nunkoo and Ramkissoon, 2013), understanding the decision-making process of virtual tour users in visiting a tourist destination (Pantano and Corvello, 2014), exploring how tourists use a 3D virtual world (Huang et al , 2016), predicting the potential of VR in tourism (Disztinger et al , 2017), investigating the adoption of VR and factors influencing tourists’ behavioral intentions (Tom Dieck et al , 2018a), determining hotel consumers’ behavioral intentions toward mobile app usage in an extended model considering experience structure (Huang et al , 2019), understanding the impact of tourists’ travel intentions (Li and Chen, 2019), studying the effects of extended model on tourists’ adoption intentions of VR (Vishwakarma et al , 2020a), determining the intention to use VR in tourism during the COVID-19 pandemic (Schiopu et al , 2021), understanding the introduction of robots’ effects on employees’ intention to use robots and robot awareness (Parvez et al , 2022), understanding factors influencing the intention to share cultural heritage tourism experiences on social media, and evaluating them from technological, psychological and experiential perspectives (Lin and Rasoolimanesh, 2023). These studies demonstrate that TAM is an appropriate and effective tool for understanding behavioral frameworks related to the use of VR.…”
Section: Literature Reviewmentioning
confidence: 99%