IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v71y2022ics0160791x22002512.html
   My bibliography  Save this article

Smart interaction and social TV used by Jordanian University students

Author

Listed:
  • Habes, Mohammed
  • Elareshi, Mokhtar
  • Almansoori, Ahmed
  • Ziani, Abdulkrim
  • Alsridi, Hatem

Abstract

The integration of the TV screen, so that it becomes a new media interaction, is one of the most significant shifts that technology has brought and is known as “social TV”. This paper examines the interaction and influence of social TV on academic performance during Covid-19. It also focuses on the link between social media usage, traditional TV, social TV, and most importantly on whether the latter has impacted on improvements in students’ academic performance in Jordan. A total of 546 university students participated in this study via online survey. Through a self-proposed model, using the PLS-SEM software, the study found that respondents understand the concept of social TV and have used it to improve their interaction with others, helping them to share their experiences and – interestingly – to improve their academic performance. Thus, the findings are discussed in relation to social media integration with social TV in educational and non-educational settings.

Suggested Citation

  • Habes, Mohammed & Elareshi, Mokhtar & Almansoori, Ahmed & Ziani, Abdulkrim & Alsridi, Hatem, 2022. "Smart interaction and social TV used by Jordanian University students," Technology in Society, Elsevier, vol. 71(C).
  • Handle: RePEc:eee:teinso:v:71:y:2022:i:c:s0160791x22002512
    DOI: 10.1016/j.techsoc.2022.102110
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X22002512
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2022.102110?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Gunn Enli & Trine Syvertsen, 2016. "The End of Television—Again! How TV Is Still Influenced by Cultural Factors in the Age of Digital Intermediaries," Media and Communication, Cogitatio Press, vol. 4(3), pages 142-153.
    3. Huma Khan & Sajjad Ahmad Paracha, 2019. "Educational Programs on Children Television: A Content Analysis," Global Regional Review, Humanity Only, vol. 4(4), pages 388-397, December.
    4. Eun-Jung Kim & Jinkyung Jenny Kim & Sang-Ho Han, 2021. "Understanding Student Acceptance of Online Learning Systems in Higher Education: Application of Social Psychology Theories with Consideration of User Innovativeness," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    5. Margherita Pagani & Alessandra Mirabello, 2011. "The influence of personal and social interactive engagement in social TV websites," Post-Print hal-02313091, HAL.
    6. Odukorede Odunaiya & Mary Agoyi & Oseyenbhin Sunday Osemeahon, 2020. "Social TV Engagement for Increasing and Sustaining Social TV Viewers," Sustainability, MDPI, vol. 12(12), pages 1-11, June.
    7. Kim, Jihyun & Merrill Jr., Kelly & Collins, Chad & Yang, Hocheol, 2021. "Social TV viewing during the COVID-19 lockdown: The mediating role of social presence," Technology in Society, Elsevier, vol. 67(C).
    8. Hamed Taherdoost, 2016. "Sampling Methods in Research Methodology; How to Choose a Sampling Technique for Research," Post-Print hal-02546796, HAL.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wenzel, Stefan, 2014. "App'ification of Enterprise Software - Evaluating Mobile App Characteristics Enabling Online Purchase And Their Portability To Enterprise Application Software," EconStor Preprints 146785, ZBW - Leibniz Information Centre for Economics.
    2. Yoshihiro Zenno & Kentaka Aruga, 2022. "Institutional Investors’ Willingness to Pay for Green Bonds: A Case for Shanghai," JRFM, MDPI, vol. 15(11), pages 1-16, November.
    3. Irina Heimbach & Oliver Hinz, 2018. "The Impact of Sharing Mechanism Design on Content Sharing in Online Social Networks," Information Systems Research, INFORMS, vol. 29(3), pages 592-611, September.
    4. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    5. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    6. Eric Kwadwo Amissah & Kwabena Nduro & Phoebe Ama Quansah, 2024. "Towards Greener Printing: Examining Waste Disposal Innovations in the Ghanaian Printing Industry," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(3), pages 1244-1264, March.
    7. Ostovan, Nima & Khalili Nasr, Arash, 2022. "The manifestation of luxury value dimensions in brand engagement in self-concept," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    8. Globisch, Joachim & Dütschke, Elisabeth & Schleich, Joachim, 2018. "Acceptance of electric passenger cars in commercial fleets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 122-129.
    9. Michael Addotey-Delove & Richard E. Scott & Maurice Mars, 2023. "Healthcare Workers’ Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review," IJERPH, MDPI, vol. 20(2), pages 1-27, January.
    10. Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    11. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    12. Zhang, Wenqing & Liu, Liangliang, 2022. "Exploring non-users' intention to adopt ride-sharing services: Taking into account increased risks due to the COVID-19 pandemic among other factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 180-195.
    13. Jabbar, Abdul & Geebren, Ahmed & Hussain, Zahid & Dani, Samir & Ul-Durar, Shajara, 2023. "Investigating individual privacy within CBDC: A privacy calculus perspective," Research in International Business and Finance, Elsevier, vol. 64(C).
    14. repec:arp:tjssrr:2019:p:1016-1024 is not listed on IDEAS
    15. Kuldeep Baishya & Harsh Vardhan Samalia, 2020. "Factors Influencing Smartphone Adoption: A Study in the Indian Bottom of the Pyramid Context," Global Business Review, International Management Institute, vol. 21(6), pages 1387-1405, December.
    16. Peter Bou Saba & Régis Meissonier, 2016. "Conflict contagion effects from previous IT projects: action research during preliminary phases of a DST implementation project [Effets de contagion de conflits de projets TI antérieurs:Une recherc," Post-Print hal-02161336, HAL.
    17. Youn Kang & Won Lee, 2015. "Self-customization of online service environments by users and its effect on their continuance intention," Service Business, Springer;Pan-Pacific Business Association, vol. 9(2), pages 321-342, June.
    18. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    19. Hamed Taherdoost, 2021. "Data Collection Methods and Tools for Research; A Step-by-Step Guide to Choose Data Collection Technique for Academic and Business Research Projects," Post-Print hal-03741847, HAL.
    20. Youngcheoul Kang & Nakbum Choi & Seoyong Kim, 2021. "Searching for New Model of Digital Informatics for Human–Computer Interaction: Testing the Institution-Based Technology Acceptance Model (ITAM)," IJERPH, MDPI, vol. 18(11), pages 1-36, May.
    21. Guilian Wang & Liyan Zhang & Jing Guo, 2022. "Driving Factors and Mechanisms of AMT Application Levels for Equipment Manufacturing Enterprises: Based on Programmatic Grounded Theory," Sustainability, MDPI, vol. 14(14), pages 1-18, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:teinso:v:71:y:2022:i:c:s0160791x22002512. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.