Literature DB >> 18999300

Understanding intention to use electronic information resources: A theoretical extension of the technology acceptance model (TAM).

Donghua Tao1.   

Abstract

This study extended the Technology Acceptance Model (TAM) by examining the roles of two aspects of e-resource characteristics, namely, information quality and system quality, in predicting public health students' intention to use e-resources for completing research paper assignments. Both focus groups and a questionnaire were used to collect data. Descriptive analysis, data screening, and Structural Equation Modeling (SEM) techniques were used for data analysis. The study found that perceived usefulness played a major role in determining students' intention to use e-resources. Perceived usefulness and perceived ease of use fully mediated the impact that information quality and system quality had on behavior intention. The research model enriches the existing technology acceptance literature by extending TAM. Representing two aspects of e-resource characteristics provides greater explanatory information for diagnosing problems of system design, development, and implementation.

Mesh:

Year:  2008        PMID: 18999300      PMCID: PMC2656102     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  1 in total

1.  Criteria used by research and development engineers in the selection of an information source.

Authors:  P G Gerstberger; T J Allen
Journal:  J Appl Psychol       Date:  1968-08
  1 in total
  6 in total

1.  Intention to use and actual use of electronic information resources: further exploring Technology Acceptance Model (TAM).

Authors:  Donghua Tao
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

2.  Medication safety and knowledge-based functions: a stepwise approach against information overload.

Authors:  Andrius Patapovas; Harald Dormann; Brita Sedlmayr; Melanie Kirchner; Anja Sonst; Fabian Müller; Barbara Pfistermeister; Bettina Plank-Kiegele; Renate Vogler; Renke Maas; Manfred Criegee-Rieck; Hans-Ulrich Prokosch; Thomas Bürkle
Journal:  Br J Clin Pharmacol       Date:  2013-09       Impact factor: 4.335

Review 3.  The technology acceptance model: its past and its future in health care.

Authors:  Richard J Holden; Ben-Tzion Karsh
Journal:  J Biomed Inform       Date:  2009-07-15       Impact factor: 6.317

4.  Defining Information Quality Into Health Websites: A Conceptual Framework of Health Website Information Quality for Educated Young Adults.

Authors:  Donghua Tao; Cynthia LeRouge; K Jody Smith; Gianluca De Leo
Journal:  JMIR Hum Factors       Date:  2017-10-06

5.  Implementing mHealth Interventions in a Resource-Constrained Setting: Case Study From Uganda.

Authors:  Amanda J Meyer; Mari Armstrong-Hough; Diana Babirye; David Mark; Patricia Turimumahoro; Irene Ayakaka; Jessica E Haberer; Achilles Katamba; J Lucian Davis
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-13       Impact factor: 4.773

6.  Adoption of Hospital Information System Among Nurses: a Technology Acceptance Model Approach.

Authors:  Hosein Barzekar; Farzad Ebrahimzadeh; Jake Luo; Mahtab Karami; Zahra Robati; Parvin Goodarzi
Journal:  Acta Inform Med       Date:  2019-12
  6 in total

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