2015
DOI: 10.5465/ambpp.2015.11188abstract
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Determinants of Intention to Participate in Corporate BYOD-Programs – The Case of Digital Natives –

Abstract: Corporations continue to see a growing demand for Bring-Your-Own-Device (BYOD) programs which allow employees to use their own computing devices for business purposes. This study analyses the demand of digital natives for such programs when entering the workforce and how they perceive the benefits and risk associated with BYOD. A theoretical model building on net valence considerations, technology adoption theories and perceived risk theory is proposed and tested. International students from five countries in … Show more

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Cited by 4 publications
(6 citation statements)
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References 43 publications
(76 reference statements)
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“…A general lesson emerging from this research is that the physical environment and hardware characteristics have a measurable impact on information qualitya novel consideration for traditional information systems research, which routinely abstracts away implementation details when dealing with representational issues (Jabbari et al 2018;Jabbari Sabegh et al 2017;Wand and Weber 1995). This insight may be increasingly relevant in Bbring your own deviceâ nd app-driven organizational settings (French et al 2014;Hopkins et al 2017;Jordan 2017;Weeger et al 2015).…”
Section: Hardware Factorsmentioning
confidence: 98%
“…A general lesson emerging from this research is that the physical environment and hardware characteristics have a measurable impact on information qualitya novel consideration for traditional information systems research, which routinely abstracts away implementation details when dealing with representational issues (Jabbari et al 2018;Jabbari Sabegh et al 2017;Wand and Weber 1995). This insight may be increasingly relevant in Bbring your own deviceâ nd app-driven organizational settings (French et al 2014;Hopkins et al 2017;Jordan 2017;Weeger et al 2015).…”
Section: Hardware Factorsmentioning
confidence: 98%
“…Apart from the main constructs, gender, age, level of experience, and willingness to use moderate the correlation between these constructs and BI. More recently, [51] made two main modifications to the UTAUT model to adapt it to BYOD programmes and their requirements. These modifications excluded facilitating conditions, as the UTAUT model does not examine BYOD use behaviours, and included the addition of perceived threats (PTs) to examine the negative aspects of BYOD adoption and the use of personal devices to access work-related systems [44].…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…A recent study conducted by Weeger, et al (2018) highlights undergraduate students' perceptions of BYOD at workplace. It involved 476 students from European, Asian and American universities in their final year of undergraduate studies with relevant work experience.…”
Section: Literature Reviewmentioning
confidence: 99%
“…According to the study, it is evident that the upcoming generation of employees will be supportive towards BYOD implementation at workplaces regardless of potential risk factors. This implies the necessity of developing new BYOD strategies or policies suitable for so-called digital natives (Hershatter and Epstein, 2010) as these future employees do not fall into the categories of classical perceived risk theory (Weeger et al, 2018).…”
Section: Literature Reviewmentioning
confidence: 99%