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Consumer adoption of mobile TV: Examining psychological flow and media content

Authors:

Begona Perez-Mira,

Sonja Wiley-PattonAuthors Info & Claims

Computers in Human Behavior, Volume 25, Issue 1

Pages 123 - 129

https://doi.org/10.1016/j.chb.2008.07.011

Published: 01 January 2009 Publication History

Abstract

Mobile TV service, which provides television-like content through a mobile device, holds a limelight as the next killer application of wireless technologies and also as a prospective hedonic information technology. However, in a world where other potential wireless technologies and services speedily emerge, vendors and service providers interested in mobile TV hope that it will be diffused over the gulf between early users to general ones prior to competing sprouts. At this point, an investigation of early consumers' adoption of mobile TV may offer precious information for its survival. Based on the theoretical assumptions of the technology acceptance model (TAM), this study examines influences of cognitive concentration (or flow experience) and media content on consumers' acceptance of mobile TV. The results are threefold. First, results suggest that cognitive concentration (or flow experience) and content have a significant role in consumers' intention to use hedonic information technology. Second, results show that content has a critical impact on cognitive concentration. Finally, results support the use of the extended TAM as an explainer in the context of hedonic information technology.

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Cited By

Lyu TLi KXiao X(2024)Exploring Second Language Learners'Continuance Intention: Perceived Ease of Use as a Predictor via Serial Multiple Mediation Involving Perceived Usefulness and Flow in Language Learning ApplicationsProceedings of the 2024 10th International Conference on Education and Training Technologies10.1145/3661904.3661905(63-69)Online publication date: 11-Apr-2024
https://dl.acm.org/doi/10.1145/3661904.3661905
Hyun Yoon JKu Kim H(2023)Why do consumers continue to use OTT services?Electronic Commerce Research and Applications10.1016/j.elerap.2023.10128560:COnline publication date: 24-Aug-2023
https://dl.acm.org/doi/10.1016/j.elerap.2023.101285
Ye PLiu L(2021)Influencing Factors of Intention to Use Mobile Devices for ReadingInternational Journal of Mobile and Blended Learning10.4018/IJMBL.202107010213:3(1-17)Online publication date: 1-Jul-2021
https://dl.acm.org/doi/10.4018/IJMBL.2021070102
Show More Cited By

Index Terms

Consumer adoption of mobile TV: Examining psychological flow and media content
1. Applied computing
  1. Computers in other domains
    1. Personal computers and PC applications
  2. Law, social and behavioral sciences
    1. Psychology
2. Information systems

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Published In

cover image Computers in Human Behavior

Computers in Human Behavior Volume 25, Issue 1

January, 2009

252 pages

ISSN:0747-5632

Issue’s Table of Contents

Copyright © Elsevier Ltd © 2008.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 January 2009

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Cited By

Lyu TLi KXiao X(2024)Exploring Second Language Learners'Continuance Intention: Perceived Ease of Use as a Predictor via Serial Multiple Mediation Involving Perceived Usefulness and Flow in Language Learning ApplicationsProceedings of the 2024 10th International Conference on Education and Training Technologies10.1145/3661904.3661905(63-69)Online publication date: 11-Apr-2024
https://dl.acm.org/doi/10.1145/3661904.3661905
Hyun Yoon JKu Kim H(2023)Why do consumers continue to use OTT services?Electronic Commerce Research and Applications10.1016/j.elerap.2023.10128560:COnline publication date: 24-Aug-2023
https://dl.acm.org/doi/10.1016/j.elerap.2023.101285
Ye PLiu L(2021)Influencing Factors of Intention to Use Mobile Devices for ReadingInternational Journal of Mobile and Blended Learning10.4018/IJMBL.202107010213:3(1-17)Online publication date: 1-Jul-2021
https://dl.acm.org/doi/10.4018/IJMBL.2021070102
Gong WXiao B(2021)Research on Factors Influencing Users’ Technology Acceptance of Virtual MuseumsCulture and Computing. Interactive Cultural Heritage and Arts10.1007/978-3-030-77411-0_24(374-388)Online publication date: 24-Jul-2021
https://dl.acm.org/doi/10.1007/978-3-030-77411-0_24
Huang DChueh H(2020)An Analysis of Use Intention of Pet Disease Consultation Chatbot2020 The 4th International Conference on E-Society, E-Education and E-Technology10.1145/3421682.3421693(1-5)Online publication date: 15-Aug-2020
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Yang HLee H(2019)Understanding user behavior of virtual personal assistant devicesInformation Systems and e-Business Management10.1007/s10257-018-0375-117:1(65-87)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s10257-018-0375-1
Chaveesuk SWutthirong PChaiyasoonthorn W(2018)The Model of Mobile Payment System Acceptance on Social Networks in ThailandProceedings of the 2018 10th International Conference on Information Management and Engineering10.1145/3285957.3285990(35-39)Online publication date: 22-Sep-2018
https://dl.acm.org/doi/10.1145/3285957.3285990
van der Sluis Fvan den Broek Evan Drunen ABeerends J(2018)Mobile Screen Size Limits Multimodal SynergyProceedings of the 36th European Conference on Cognitive Ergonomics10.1145/3232078.3232101(1-4)Online publication date: 5-Sep-2018
https://dl.acm.org/doi/10.1145/3232078.3232101
Salahshour Rad MNilashi MMohamed Dahlan H(2018)Information technology adoptionUniversal Access in the Information Society10.1007/s10209-017-0534-z17:2(361-390)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s10209-017-0534-z
Zhou T(2017)The Effects of Network Externality and Flow Experience on Mobile SNS ContinuanceInternational Journal of Technology and Human Interaction10.4018/IJTHI.201704010413:2(57-69)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.4018/IJTHI.2017040104
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