IDEAS home Printed from https://ideas.repec.org/a/wsi/jikmxx/v14y2015i03ns0219649215500239.html
   My bibliography  Save this article

Analysis of Factor Influencing the Tablet Acceptance for Library Information Services: A Combination of UTAUT and TTF Model

Author

Listed:
  • Sununthar Vongjaturapat

    (Faculty of Information Technology, King Mongkut's Institute of Technology Landkrabang, Bangkok, Thailand)

  • Singha Chaveesuk

    (Faculty of Information Technology, King Mongkut's Institute of Technology Landkrabang, Bangkok, Thailand)

  • Nopporn Chotikakamthorn

    (Faculty of Information Technology, King Mongkut's Institute of Technology Landkrabang, Bangkok, Thailand)

  • Sakesan Tongkhambanchong

    (Faculty of Education, Burapha University, Chon Buri, Thailand)

Abstract

Increasingly, powerful mobile technology, like the tablet, empowers learners to seek information in mobile learning scenarios virtually anywhere and anytime. It is important for the academic library to look at how students use their tablets for library information seeking tasks to fully understand the nature of the patron's task and the need for the tablet. This study investigates the function of mobile technology based on the information seeking task, with particular reference to the appropriateness of tablet characteristics for the information seeking task in a library online database, downloading and reading from the screen, the effect of the patron's perception on their behavioural intention (BI) to use the tablet, and a measure of the patron's acceptance. Adapting the unified theory of acceptance and use of technology (UTAUT) model requires re-specification to suit a specific information system. The re-specific model introduces new constructs and new measuring instruments. New constructs were used for exogenous predictors of the UTAUT variables as well as including integration variables namely technology characteristics and task characteristics that were explicitly contained in the task-technology fit (TTF) model. These extensions and integrations of UTAUT have been valuable in expanding our understanding of technology adoption and extending the boundaries of the theory. Our research found that TTF and performance expectancy (PE) have a direct effect on actual use (AU). In addition, we also found a significant effect of the TTF on PE which in turn influences BI to accept the tablet for library information seeking tasks. This shows the importance of TTF. Besides, the results showed that interaction with library search systems revealed the strongest effect among the exogenous variables, which ultimately determines the AU of the tablet for library information seeking tasks.

Suggested Citation

  • Sununthar Vongjaturapat & Singha Chaveesuk & Nopporn Chotikakamthorn & Sakesan Tongkhambanchong, 2015. "Analysis of Factor Influencing the Tablet Acceptance for Library Information Services: A Combination of UTAUT and TTF Model," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 14(03), pages 1-23.
    • Handle: RePEc:wsi:jikmxx:v:14:y:2015:i:03:n:s0219649215500239
    DOI: 10.1142/S0219649215500239
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219649215500239
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219649215500239?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. Ching-Mun Cheah & Aik-Chuan Teo & Keng-Boon Ooi & Jessica C. J. Wong, 2013. "Extending The Utaut Model in M-Banking Adoption," Diversity, Technology, and Innovation for Operational Competitiveness: Proceedings of the 2013 International Conference on Technology Innovation and Industrial Management,, ToKnowPress.
    2. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liyong Wan & Shoumei Xie & Ai Shu, 2020. "Toward an Understanding of University Students’ Continued Intention to Use MOOCs: When UTAUT Model Meets TTF Model," SAGE Open, , vol. 10(3), pages 21582440209, July.
    2. Xin Lin & RunZe Wu & Yong-Taek Lim & Jieping Han & Shih-Chih Chen, 2019. "Understanding the Sustainable Usage Intention of Mobile Payment Technology in Korea: Cross-Countries Comparison of Chinese and Korean Users," Sustainability, MDPI, vol. 11(19), pages 1-23, October.

    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. Rahman, Shaikh Moksadur, 2020. "Relationship between Job Satisfaction and Turnover Intention: Evidence from Bangladesh," Asian Business Review, Asian Business Consortium, vol. 10(2), pages 99-108.
    2. Naveena Prakasam & Louisa Huxtable-Thomas, 2021. "Reddit: Affordances as an Enabler for Shifting Loyalties," Information Systems Frontiers, Springer, vol. 23(3), pages 723-751, June.
    3. Valeriy Makarov & Albert Bakhtizin, 2014. "The Estimation Of The Regions’ Efficiency Of The Russian Federation Including The Intellectual Capital, The Characteristics Of Readiness For Innovation, Level Of Well-Being, And Quality Of Life," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 9-30.
    4. Kristine Edgar Danielyan & Samvel Grigoriy Chailyan, 2019. "Delineation of Effectors Impact on The Human Brain Derived Phosphoribosylpyrophosphate Synthetase-1 Activity," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 24(1), pages 17918-17926, December.
    5. Chuan Wang & Yupeng Liu & Wen Hou & Chao Yu & Guorong Wang & Yuyan Zheng, 2021. "Reliability and availability modeling of Subsea Autonomous High Integrity Pressure Protection System with partial stroke test by Dynamic Bayesian," Journal of Risk and Reliability, , vol. 235(2), pages 268-281, April.
    6. Sana Sadiq & Khadija Anasse & Najib Slimani, 2022. "The impact of mobile phones on high school students: connecting the research dots," Technium Social Sciences Journal, Technium Science, vol. 30(1), pages 252-270, April.
    7. Jascha-Alexander Koch & Michael Siering, 2019. "The recipe of successful crowdfunding campaigns," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 661-679, December.
    8. Martins, José & Costa, Catarina & Oliveira, Tiago & Gonçalves, Ramiro & Branco, Frederico, 2019. "How smartphone advertising influences consumers' purchase intention," Journal of Business Research, Elsevier, vol. 94(C), pages 378-387.
    9. Wu, Bing & Yip, Tsz Leung & Yan, Xinping & Guedes Soares, C., 2022. "Review of techniques and challenges of human and organizational factors analysis in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    10. Zarei, Esmaeil & Khan, Faisal & Abbassi, Rouzbeh, 2021. "Importance of human reliability in process operation: A critical analysis," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    11. 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.
    12. Géraldine Boué & Enda Cummins & Sandrine Guillou & Jean‐Philippe Antignac & Bruno Le Bizec & Jeanne‐Marie Membré, 2017. "Development and Application of a Probabilistic Risk–Benefit Assessment Model for Infant Feeding Integrating Microbiological, Nutritional, and Chemical Components," Risk Analysis, John Wiley & Sons, vol. 37(12), pages 2360-2388, December.
    13. Leila Tavakoli & Hamed Zamani & Falk Scholer & William Bruce Croft & Mark Sanderson, 2022. "Analyzing clarification in asynchronous information‐seeking conversations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(3), pages 449-471, March.
    14. Chiara Francalanci & Ajaz Hussain, 2016. "Discovering social influencers with network visualization: evidence from the tourism domain," Information Technology & Tourism, Springer, vol. 16(1), pages 103-125, March.
    15. Lutz, Christoph & Newlands, Gemma, 2018. "Consumer segmentation within the sharing economy: The case of Airbnb," Journal of Business Research, Elsevier, vol. 88(C), pages 187-196.
    16. van Weeghel, H.J.E. & Bos, A.P. & Jansen, M.H. & Ursinus, W.W. & Groot Koerkamp, P.W.G., 2021. "Good animal welfare by design: An approach to incorporate animal capacities in engineering design," Agricultural Systems, Elsevier, vol. 191(C).
    17. Cocoradă, Elena & Maican, Cătălin Ioan & Cazan, Ana-Maria & Maican, Maria Anca, 2018. "Assessing the smartphone addiction risk and its associations with personality traits among adolescents," Children and Youth Services Review, Elsevier, vol. 93(C), pages 345-354.
    18. Óscar Chiva-Bartoll & Honorato Morente-Oria & Francisco Tomás González-Fernández & Pedro Jesús Ruiz-Montero, 2020. "Anxiety and Bodily Pain in Older Women Participants in a Physical Education Program. A Multiple Moderated Mediation Analysis," Sustainability, MDPI, vol. 12(10), pages 1-12, May.
    19. George Momanyi & Maureen Adoyo & Eunice Mwangi & Dennis Mokua, 2017. "Strengthening Strategic Reward Framework in Health Systems: A Survey of Narok County, Kenya," Global Journal of Health Science, Canadian Center of Science and Education, vol. 9(1), pages 181-181, January.
    20. Alfano, Vincenzo & Cicatiello, Lorenzo & Gaeta, Giuseppe Lucio & Pinto, Mauro, 2019. "The gender wage gap among PhD holders: an empirical examination based on Italian data," GLO Discussion Paper Series 393, Global Labor Organization (GLO).

    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:wsi:jikmxx:v:14:y:2015:i:03:n:s0219649215500239. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/jikm/jikm.shtml .

    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.