2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) 2015
DOI: 10.1109/dcabes.2015.42
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Applying Innovation Resistance Theory to Understand Consumer Resistance of Using Online Travel in Thailand

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Cited by 16 publications
(22 citation statements)
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“…H1, H2, H3: Social influence significantly affects risk barrier, value barrier, and image barrier People's perceptions of a service's or technology's usefulness may improve correspondingly from the social influence they receive from peers or close circles (Venkatesh and Davis, 2000). The research by Jansukpum and Kettem (2016) found that positive social influence has significant negative effect on risk barrier (H1), value barrier (H2), and image barrier (H3). The finding in this research supports all of those hypotheses.…”
Section: Discussionmentioning
confidence: 99%
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“…H1, H2, H3: Social influence significantly affects risk barrier, value barrier, and image barrier People's perceptions of a service's or technology's usefulness may improve correspondingly from the social influence they receive from peers or close circles (Venkatesh and Davis, 2000). The research by Jansukpum and Kettem (2016) found that positive social influence has significant negative effect on risk barrier (H1), value barrier (H2), and image barrier (H3). The finding in this research supports all of those hypotheses.…”
Section: Discussionmentioning
confidence: 99%
“…Referring to the framework proposed by Jansukpum and Kettem (2016), combined with the variable components of online experience in Constantinides' study, (2004), the author constructs the final conceptual framework for this research that can be seen in Figure 1.…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…Instead, they focused on delineating the innovation characteristics, i.e., positive aspects (Joachim et al, 2018 ). Thus, the IRT provides a theoretical framework that can explain barriers and resistance mechanisms by focusing on individuals' reactions to any technology (Kaur et al, 2020 ), product (Sadiq et al, 2021 ), and service (Jansukpum and Kettem, 2015 ).…”
Section: Literature Review and Theoretical Backgroundmentioning
confidence: 99%
“…Literature is replete with the research that has affirmed the adverse influence of usage barriers on individuals' intention to use novel technologies such as e-commerce (Moorthy et al, 2017 ), e-learning (Ray et al, 2020 ), mobile health applications (Kim and Lee, 2020 ), e-tourism (Jansukpum and Kettem, 2015 ), m-shopping (Lissitsa and Kol, 2021 ), and e-banking (Kaur et al, 2020 ). Thus, the usage barriers are associated with the resistance of the individuals toward new technologies.…”
Section: Literature Review and Theoretical Backgroundmentioning
confidence: 99%
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