The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Technology Adoption Model-Based Comparison of Clinical Trial Software: A Case Study Using Jeeva and REDCap
|
|
Author(s): Hossain Shahriar (Kennesaw State University, USA), Evbusogie Sogbesan (Kennesaw State University, USA), Lorna Migiro (Kennesaw State University, USA), Temitope Balogun (Kennesaw State University, USA), Sweta Sneha (Kennesaw State University, USA), Harsha Rajasimha (Jeeva Informatics, USA), Arleen Joy Patinga (Kennesaw State University, USA)and Masrura Tasnim (Kennesaw State University, USA)
Copyright: 2023
Volume: 8
Issue: 1
Pages: 24
Source title:
International Journal of Applied Research on Public Health Management (IJARPHM)
Editor(s)-in-Chief: Qiang (Shawn) Cheng (University of Kentucky, USA)and Joseph Tan (McMaster University, Canada)
DOI: 10.4018/IJARPHM.315803
Purchase
|
Abstract
Clinical research management systems are mainly used by both pharmaceutical companies and biotechnology companies to manage the clinical trial process from start to finish. Due to the very nature and complexity of the clinical research process, having a system that is easy to use and understand as well as navigate will ensure that the whole process is streamlined, with very few bottlenecks and limitations. In this work, the authors examined the use of two different clinical research systems, JEEVA and REDCAP, with the aim of understanding users' intentions and behavior towards the use of both systems. The authors used the original technology adoption model (TAM) on the perceived usefulness, perceived ease of use, usage behavior (attitude towards using), intention to use, to determine the extent of the user's acceptance of the JEEVA and REDCAP technology tools. The authors' current data analysis of the survey was collected, and findings show that JEEVA fares well compared to REDCAP. The authors also share feedback from users on their perception of the usefulness of both systems and improvement areas.
Related Content
|
Cleophas Gwakwara, Eric Blanco Blanco Niyitunga.
© 2024.
16 pages.
|
|
Zhou Yu Yu.
© 2023.
10 pages.
|
|
Omobolanle Omisade, Alice Good.
© 2023.
13 pages.
|
|
Hossain Shahriar, Evbusogie Sogbesan, Lorna Migiro, Temitope Balogun, Sweta Sneha, Harsha Rajasimha, Arleen Joy Patinga, Masrura Tasnim.
© 2023.
24 pages.
|
|
Rohit Rastogi, Devendra Kumar Chaturvedi.
© 2023.
24 pages.
|
|
Bongs Lainjo, Hanan Tmouche.
© 2023.
17 pages.
|
|
Sergey Sokolov, Anatoliy Kondratiev, Nataliya Lesteva, Nataliya Dragina.
© 2023.
13 pages.
|
|
|