2020
DOI: 10.1016/j.im.2019.103170
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Do (how) digital natives adopt a new technology differently than digital immigrants? A longitudinal study

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Cited by 118 publications
(103 citation statements)
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References 57 publications
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“…Certain socio-economic factors such as age, income and the area in which the consumer lives also affect the digitalization process (e.g. Kesharwani, 2019;Laukkanen, 2016;Luo et al, 2010;Ver ıssimo, 2016).…”
Section: Discussionmentioning
confidence: 99%
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“…Certain socio-economic factors such as age, income and the area in which the consumer lives also affect the digitalization process (e.g. Kesharwani, 2019;Laukkanen, 2016;Luo et al, 2010;Ver ıssimo, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…In a similar vein, Laukkanen, () has shown that both age and gender are significant predictors of the adoption of digital banking. Relatedly, Kesharwani, () has shown that differences exist between digital natives and digital immigrants with respect to the use of technology. Furthermore, income (Veríssimo, ) and the area in which the consumer lives affect the digitalization process (Xue et al, ).…”
Section: The Era Of Financial Digitalization: the Digital Bank Customermentioning
confidence: 99%
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“…The name digital natives was proposed by Prensky [18], who described these individuals as "native speakers of the digital language, computers, video games, and the Internet". Digital natives encountered the digital technology in the early stages of their lives [19], and, as a result, the current generation of students have brought about significant changes in the learning environment [20]. Digital natives can learn at high speeds, since they are used to receiving information quickly [18,20].…”
Section: Experiential Learning Approaches and Digital Nativesmentioning
confidence: 99%
“…Several studies have argued for a need to understand digitised individuals, the drivers of the digitisation of individuals and the consequences of this digitisation, because technologies aimed at the digitisation of individuals have unique features that distinguish them from commonly examined business technologies, or that are insufficiently highlighted and understood in studies of non‐work technologies (Matt, Trenz, et al, 2019; Turel et al, 2019). These characteristics include: (1) the creation of new application domains (e.g., Internet connectivity in any home device that has not been IT‐infused before, see Yashiro, Kobayashi, Koshizuka, & Sakamura, 2013), (2) ubiquitous use, including even embedding IT into human bodies and creating cybernetic organisms, or ‘cyborgs’ (Pelegrín‐Borondo, Arias‐Oliva, Murata, & Souto‐Romero, 2020), (3) user volition in defining technology use settings and portfolios (Liu, Santhanam, & Webster, 2017), (4) a change in user landscape that reflects a shift from digital immigrants to digital natives, and the increased acceptance of digital technologies by digital immigrants (Kesharwani, 2020), (5) self‐determined approaches to usage, and self‐learning necessity (Huang, Backman, Backman, McGuire, & Moore, 2019), (6) globalised markets with little and some may say impossible regulation of user and consumer protections (Tanczer, Brass, Elsden, Carr, & Blackstock, 2019) and (7) broad effects, negative, positive and ambivalent, that can relate to usage and non‐usage of an IT, and that can last long after the IT use has been discontinued.…”
Section: The Rise Of the Digitised Individual: Contextual Specificitiesmentioning
confidence: 99%