2021
DOI: 10.1108/jima-12-2020-0384
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Personalized vs non-personalized recommendations: how recommender systems, recommendation sources and recommendation platforms affect trial of YouTube videos among digital natives in Saudi Arabia

Abstract: Purpose This study aims to examine the difference between personalized and non-personalized recommendations in influencing YouTube users’ video choices. In addition, whether men and women have a significant difference in using recommendations was compared and the predictors of recommendation video use frequency were explored. Design/methodology/approach A survey of 524 Saudi Arabia college students was conducted using computer-assisted self-administered interviews to collect their video recommendation source… Show more

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Cited by 5 publications
(4 citation statements)
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“…Conversely, those that provide non-personalized recommendations do not affect PI. These findings are partially consistent with previous research (Ha et al. , 2022), who stated that recommendations can be successful in both personalized and non-personalized versions.…”
Section: Discussionsupporting
confidence: 92%
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“…Conversely, those that provide non-personalized recommendations do not affect PI. These findings are partially consistent with previous research (Ha et al. , 2022), who stated that recommendations can be successful in both personalized and non-personalized versions.…”
Section: Discussionsupporting
confidence: 92%
“…Conversely, those that provide non-personalized recommendations do not affect PI. These findings are partially consistent with previous research (Ha et al, 2022), who stated that recommendations can be successful in both personalized and non-personalized versions. In addition, the present study reinforces the theory that recommendations are considered a credible source by people who avoid online advertising (Ha et al, 2022).…”
Section: Theoretical and Academic Implicationssupporting
confidence: 92%
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