2016 49th Hawaii International Conference on System Sciences (HICSS) 2016
DOI: 10.1109/hicss.2016.391
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A Closer Look at the Social Influence Construct in the UTAUT Model: An Institutional Theory Based Approach to Investigate Health IT Adoption Patterns of the Elderly

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Cited by 49 publications
(28 citation statements)
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References 62 publications
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“…It would not fully exploit new technology. Bozan et al [30] addressed this component as one of the key factors and found out that it had changed considerably among users in their relationship with behavioural intentions. Thus, individuals with adequate expectations of effort have a more definite intention towards accepting cloud computing.…”
Section: Technological Factorsmentioning
confidence: 99%
“…It would not fully exploit new technology. Bozan et al [30] addressed this component as one of the key factors and found out that it had changed considerably among users in their relationship with behavioural intentions. Thus, individuals with adequate expectations of effort have a more definite intention towards accepting cloud computing.…”
Section: Technological Factorsmentioning
confidence: 99%
“…Researchers have used many models and theories used to explore why users adopt and use patient portals and other online health systems, such as Davis' (1989) technology acceptance model (TAM) (Jung & Loria, 2010;Lazard et al, 2016;Lemire, Paré, Sicotte, & Harvey, 2008;Portz et al, 2019;Wilson & Lankton, 2004), Ajzen's (1991) theory of planned behavior (Emani et al, 2016), Petty and Cacioppo's (1986) elaboration likelihood model (Angst & Agarwal, 2009), Roger's (1995) diffusion of innovation theory (Carter, Corneille, Hall-Byers, Clark, & Younge, 2015), and Venkatesh, Morris, Gordon, and Davis' (2003) unified technology of acceptance and use of technology (UTAUT) model (Bozan, Parker, & Davey, 2016;Tavares & Oliveira, 2016). Chiasson, Kelley, and Downey (2015) used task-technology fit (Goodhue & Thompson, 1995) to study how diabetics use electronic health environments to understand treatments for their chronic condition.…”
Section: Health Human-computer Interaction and Hit Adoption And Usementioning
confidence: 99%
“…Kim and Park (2012) extended TAM by adding perceived threats to explore why users adopt various health information technologies. However, these studies either had mixed results or low variances (Bozan et al, 2016;Lazard et al, 2016). For example, Bozan et al (2016) explored institutional factors including coercive, normative, and mimetic pressures and found that both coercive and mimetic pressures influenced elderly individuals' decision to adopt patient portals; however, their results only explained 28 percent of the low variance using R-squared (R 2 ), which suggests that additional factors exist beyond existing adoption theories and models to explain why individuals adopt health portals.…”
Section: Health Human-computer Interaction and Hit Adoption And Usementioning
confidence: 99%
“…Nilai tersebut bermakna bahwa pengaruh lingkungan sosial juga dapat menjadi pendorong seorang guru untuk menggunakan blog gratis sebagai media pembelajaran bagi user, dalam hal ini adalah lingkungan kerja guru yang secara dominan di sekolah. Social influence menjadi faktor pendukung terbesar dalam penggunaan sistem baru oleh seseorang karena dipengaruhi oleh dorongan oleh orang-orang di sekitarnya (Bozan, Parker and Davey 2016).…”
Section: Hasil Dan Pembahasanunclassified
“…Hal ini memiliki makna bahwa blog sebagai alternatif media pembelajaran sangat diterima oleh guru-guru SMK di lingkungan kota Malang karena membantu meningkatkan kinerja mereka dalam kegiatan belajar mengajar. Variabel use behavior menjadi bukti bahwa sebuah teknologi diterima oleh penggunanya dan mereka percaya bahwa teknologi tersebut dapat membantu aktivitas mereka secara lebih baik (Bozan, Parker andDavey, 2016, Higgins, Xiao andKatsipataki, 2012).…”
Section: Hasil Dan Pembahasanunclassified