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dc.contributor.authorShih, Po-Hongen_US
dc.contributor.authorYang, Keng-Chiehen_US
dc.contributor.authorYang, Chyanen_US
dc.date.accessioned2018-08-21T05:53:22Z-
dc.date.available2018-08-21T05:53:22Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn0368-492Xen_US
dc.identifier.urihttp://dx.doi.org/10.1108/K-12-2016-0354en_US
dc.identifier.urihttp://hdl.handle.net/11536/144598-
dc.description.abstractPurpose Although numerous studies have examined factors that influence smartphone acceptance and use, few have analyzed cognitive age. This study aims to use the unified theory of acceptance and use of technology (UTAUT) to test two models to analyze the moderating effect of cognitive age. This research offers relevant suggestions among different cognitive age groups. Design/methodology/approach A questionnaire survey was conducted to collect research data in Taiwan and the UTAUT model was used. Model 1 ensures all four antecedent constructs among digital natives (those under 34 years old). Model 2 divides the digital immigrants into two groups to test the influence of cognitive age on the behaviors of smartphone use. This study tests Model 1 using AMOS 20 to examine the measurement and structural model and validates Model 2 using partial least squares (PLSs). Findings In Model 1, the digital natives have sufficient confidence to accept a new technology with ease and little effort owing to most educational resources and the widespread internet. Group 1 in Model 2 reveals that the behavior of digital immigrants is similar to that of digital natives. For Group 2 in Model 2, they tend to infer that skills or tasks they associate with having higher value are more difficult to learn. Originality/value This study provides another dimensional result for different cognitive age groups and it has to consider not only chronological age but also cognitive age in user behavior. The result can enrich the theoretical perspective on technology adoption and use behavior via cognitive age, which is a significant and important self-related factor that can help predict technology adoption and use behavior.en_US
dc.language.isoen_USen_US
dc.subjectSelf-efficacyen_US
dc.subjectFlowen_US
dc.subjectSmartphoneen_US
dc.subjectCognitive ageen_US
dc.subjectTechnology acceptanceen_US
dc.titleThe link between state-of-mind and individuals' willingness to adopt and continue using smartphonesen_US
dc.typeArticleen_US
dc.identifier.doi10.1108/K-12-2016-0354en_US
dc.identifier.journalKYBERNETESen_US
dc.citation.volume47en_US
dc.citation.spage539en_US
dc.citation.epage558en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000426083200007en_US
Appears in Collections:Articles