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Application of the task‐technology fit model to structure and evaluate the adoption of E‐books by Academics

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  • John D'Ambra
  • Concepción S. Wilson
  • Shahriar Akter

Abstract

Increasingly, e‐books are becoming alternatives to print books in academic libraries, thus providing opportunities to assess how well the use of e‐books meets the requirements of academics. This study uses the task‐technology fit (TTF) model to explore the interrelationships of e‐books, the affordances offered by smart readers, the information needs of academics, and the “fit” of technology to tasks as well as performance. We propose that the adoption of e‐books will be dependent on how academics perceive the fit of this new medium to the tasks they undertake as well as what added‐value functionality is delivered by the information technology that delivers the content. The study used content analysis and an online survey, administered to the faculty in Medicine, Science and Engineering at the University of New South Wales, to identify the attributes of a TTF construct of e‐books in academic settings. Using exploratory factor analysis, preliminary findings confirmed annotation, navigation, and output as the core dimensions of the TTF construct. The results of confirmatory factor analysis using partial least squares path modeling supported the overall TTF model in reflecting significant positive impact of task, technology, and individual characteristics on TTF for e‐books in academic settings; it also confirmed significant positive impact of TTF on individuals' performance and use, and impact of using e‐books on individual performance. Our research makes two contributions: the development of an e‐book TTF construct and the testing of that construct in a model validating the efficacy of the TTF framework in measuring perceived fit of e‐books to academic tasks.

Suggested Citation

  • John D'Ambra & Concepción S. Wilson & Shahriar Akter, 2013. "Application of the task‐technology fit model to structure and evaluate the adoption of E‐books by Academics," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 48-64, January.
  • Handle: RePEc:bla:jamist:v:64:y:2013:i:1:p:48-64
    DOI: 10.1002/asi.22757
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    Cited by:

    1. Melchor Gómez-García & Roberto Soto-Varela & Juan Agustín Morón-Marchena & María José del Pino-Espejo, 2020. "Using Mobile Devices for Educational Purposes in Compulsory Secondary Education to Improve Student’s Learning Achievements," Sustainability, MDPI, vol. 12(9), pages 1-12, May.
    2. Mehdi Darban & Minsun Kim & Ahmet Koksal, 2021. "When the technology abandonment intentions remitted: the case of herd behavior," Information Technology and Management, Springer, vol. 22(3), pages 163-178, September.
    3. Dwiza Riana & Achmad Nizar Hidayanto & Sri Hadianti & Darmawan Napitupulu, 2021. "Integrative Factors of E-Health Laboratory Adoption: A Case of Indonesia," Future Internet, MDPI, vol. 13(2), pages 1-27, January.
    4. 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.
    5. Olakunle Jayeola & Shafie Sidek & Azmawani Abd Rahman & Anuar Shar Bali Mahomed & Hu Jimin, 2020. "Contextual Factors and Strategic Consequences of Cloud Enterprise Resource Planning (ERP) Adoption in Malaysian Manufacturing SMEs: A Conceptual Framework," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 176-201.
    6. Yan (Mandy) Dang & Yulei (Gavin) Zhang & Susan A. Brown & Hsinchun Chen, 2020. "Examining the impacts of mental workload and task-technology fit on user acceptance of the social media search system," Information Systems Frontiers, Springer, vol. 22(3), pages 697-718, June.
    7. Zeinab Zaremohzzabieh & Samsilah Roslan & Zulkifli Mohamad & Ismi Arif Ismail & Habibah Ab Jalil & Seyedali Ahrari, 2022. "Influencing Factors in MOOCs Adoption in Higher Education: A Meta-Analytic Path Analysis," Sustainability, MDPI, vol. 14(14), pages 1-21, July.
    8. Akash Sinha & Prabhat Kumar & Nripendra P. Rana & Rubina Islam & Yogesh K. Dwivedi, 2019. "Impact of internet of things (IoT) in disaster management: a task-technology fit perspective," Annals of Operations Research, Springer, vol. 283(1), pages 759-794, December.
    9. Pan Gong & Ningshuang Zeng & Kunhui Ye & Markus König, 2019. "An Empirical Study on the Acceptance of 4D BIM in EPC Projects in China," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    10. Imdadullah Hidayat-ur-Rehman & Muhammad Shakaib Akram & Aneela Malik & Shamsul A. Mokhtar & Zeeshan Ahmed Bhatti & Muhammad Asif Khan, 2020. "Exploring the Determinants of Digital Content Adoption By Academics: The Moderating Role of Environmental Concerns and Price Value," SAGE Open, , vol. 10(2), pages 21582440209, June.
    11. Maricar M. Navarro & Yogi Tri Prasetyo & Michael Nayat Young & Reny Nadlifatin & Anak Agung Ngurah Perwira Redi, 2021. "The Perceived Satisfaction in Utilizing Learning Management System among Engineering Students during the COVID-19 Pandemic: Integrating Task Technology Fit and Extended Technology Acceptance Model," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
    12. Faqih, Khaled M.S. & Jaradat, Mohammed-Issa Riad Mousa, 2021. "Integrating TTF and UTAUT2 theories to investigate the adoption of augmented reality technology in education: Perspective from a developing country," Technology in Society, Elsevier, vol. 67(C).
    13. D'Ambra, John & Akter, Shahriar & Mariani, Marcello, 2022. "Digital transformation of higher education in Australia: Understanding affordance dynamics in E-Textbook engagement and use," Journal of Business Research, Elsevier, vol. 149(C), pages 283-295.
    14. Huang, Tony Cheng-Kui & Wu, Ing-Long & Chou, Chih-Chung, 2013. "Investigating use continuance of data mining tools," International Journal of Information Management, Elsevier, vol. 33(5), pages 791-801.

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