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Behaviour & Information Technology Volume 38, 2019 - Issue 9: Big data research for behavior, integrating services and applications: Implications for innovation, policy making and technology transfer
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Original Articles

Integrating TTF and IDT to evaluate user intention of big data analytics in mobile cloud healthcare system

Shu Lin WangDepartment of Information Management, National Taichung University of Science and Technology, Taichung, Republic of ChinaCorrespondence[email protected]
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Hsin I LinDepartment of Information Management, National Taichung University of Science and Technology, Taichung, Republic of ChinaView further author information
Pages 974-985 | Received 01 Mar 2018, Accepted 25 May 2019, Published online: 14 Jun 2019

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Kamal Mohammed Alhendawi. (2024) Task-technology fit model: Modelling and assessing the nurses’ satisfaction with health information system using AI prediction models. International Journal of Healthcare Management 17:1, pages 12-24.
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Ming Yuan Ding & Wei-Tsong Wang. (2023) Analysis of Factors Influencing We-Intention in Healthcare Applications Based on the AISAS Model. International Journal of Human–Computer Interaction 0:0, pages 1-18.
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Myller Augusto Santos Gomes, João Luiz Kovaleski, Regina Negri Pagani, Vander Luiz da Silva & Tatiana Cabreira de Severo Pasquini. (2023) Transforming healthcare with big data analytics: technologies, techniques and prospects. Journal of Medical Engineering & Technology 47:1, pages 1-11.
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Serdar Erişen. (2022) IoT-Based Real-Time updating multi-layered learning system applied for a special care context during COVID-19. Cogent Engineering 9:1.
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Kum Fai Yuen, Le Yi Koh, Jing Han Fong & Xueqin Wang. (2022) Determinants of Digital Transformation in Container Shipping Lines: A Theory Driven Approach. Maritime Policy & Management 0:0, pages 1-16.
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