Acceptance and rejection of mobile TV among young adults: A case of college students in South Korea

Lee, Hyunjoo; Kim, Daejoong; Ryu, Jungho; Lee, Sungjoon

doi:10.1016/j.tele.2010.04.002

Cited by 24 publications

(18 citation statements)

References 35 publications

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“…When positive attitude is formed by enhanced PU and PEOU, users are more likely to show stronger behavioral intention (IU) to use the technology. theoretical model especially in exploring user acceptance of various mobile-based technologies and services, including smartphones, 9,10 e-book readers, 11 mobile TV, 12 Internet, 13,14 games, 15,16 learning, 17 banking, 18 chatting, 19 and long-term evolution (LTE) services. 20 Therefore, TAM is a logical framework for empirically studying the role played by screen size in determining user acceptance of smartphones.…”

Section: Technology Acceptance Model (Tam)mentioning

confidence: 99%

“…AT and IU refer to users' positive feelings and evaluations of using smartphones and their intentions to (continue to) use smartphones, respectively. Based on these definitions and the earlier TAM literature that provides documented evidence for the closely connected, interdependent relationship among PU, PEOU, AT, and IU, [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] the current study intends to verify the following hypotheses related to TAM, in an attempt to explicate the underlying process of smartphone adoption:…”

Section: Technology Acceptance Model (Tam)mentioning

confidence: 99%

See 1 more Smart Citation

Does Screen Size Matter for Smartphones? Utilitarian and Hedonic Effects of Screen Size on Smartphone Adoption

Kim

Sundar

2014

Cyberpsychology, Behavior, and Social Networking

119

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This study explores the psychological effects of screen size on smartphone adoption by proposing an extended Technology Acceptance Model (TAM) that integrates an empirical comparison between large and small screens with perceived control, affective quality, and the original TAM constructs. A structural equation modeling analysis was conducted on data collected from a between-subjects experiment (N = 130) in which users performed a web-based task on a smartphone with either a large (5.3 inches) or a small (3.7 inches) screen. Results show that a large screen, compared to a small screen, is likely to lead to higher smartphone adoption by simultaneously promoting both the utilitarian and hedonic qualities of smartphones, which in turn positively influence perceived ease of use of-and attitude toward-the device respectively. Implications and directions for future research are discussed.

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Section: Technology Acceptance Model (Tam)mentioning

confidence: 99%

Section: Technology Acceptance Model (Tam)mentioning

confidence: 99%

Does Screen Size Matter for Smartphones? Utilitarian and Hedonic Effects of Screen Size on Smartphone Adoption

Kim

Sundar

2014

Cyberpsychology, Behavior, and Social Networking

119

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“…Consumers thought permission was a decisive factor to participate in mobile marketing. Studies had shown that the purpose of many consumers using mobile phones to access to information was mainly to get entertainment or to pass the time [8]. Other factors of consumers themselves also had impact on mobile marketing.…”

Section: B the Research On Consumers' Intention To Acceptmentioning

confidence: 99%

Determinants and Their Measurements of Mobile Marketing Performance

2013

Proceedings of the 2013 Conference on Education Technology and Management Science

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Abstract-Practice shows that many enterprises could not achieve remarkable performance in mobile marketing mainly because consumers' intention to accept it is very low. According to the literature research, the article considered consumer intention to accept mobile marketing as a measurement indicator of mobile marketing performance. Then the article explored the determinants of consumer's intention to accept mobile marketing and built a conceptual model. The model included five determinants: technology, consumer innovativeness, personalization, permission and entertainment; two mediators: perceived ease of use and perceived usefulness; one outcome variable: intention. The article constructed the measurements of those variables and used SPSS software to carry out the reliability analysis and the exploratory factor analysis. Finally, the article confirmed the measurements of variables which would be applied in future research.

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“…Davis [10] argued that behavioral intention to use is a major determinant of user behavior, whereas other factors influence user behavior indirectly through behavioral intention, as indicated by existing research [31].…”

Section: Intention To Usementioning

confidence: 99%