Abstract
A variety of models that incorporate attitudinal, social, and control factor have been advanced to explain IT usage, of which the Technology Acceptance Model (TAM) is the most well know. One goal of such models is to develop diagnostic tools to predict information systems acceptance and facilitate design changes before users have experience with a system. However, empirical tests of these models have generally focused on either systems that were already in use by the study participants, or systems that the participants were familiar with, such as word processing packages and spreadsheets. Given this, it is unclear (1) whether models such as TAM are predictive of behavior for inexperienced users and, more importantly, (2) whether the determinants of IT usage are the same for experienced and inexperiened users of a system.
Keywords
Affiliated Institutions
Related Publications
Understanding international web site usage
Purpose The technology acceptance model (TAM) has been one of the most influential theories in the information technology literature, but it has not been used in the marketing l...
Factors influencing the use of IT in the emergency department: A qualitative study
Investigating factors influencing the use of clinical information systems can help to develop a strategy to improve user acceptance of a given system or similar ones in the futu...
Qualitative research in health care: Assessing quality in qualitative research
This is the first in a series of three articles In the past decade, qualitative methods have become more commonplace in areas such as health services research and health techn...
Designing Information Technology to Support Distributed Cognition
Cognition in organizations is a distributed phenomenon, in which individual members of an organization reflect upon their experience, make plans, or take action. Organizational ...
Individual development in a bio-cultural perspective.
Biological and cultural inheritance deeply influence daily human behavior. However, individuals actively interact with bio-cultural information. Throughout their lives, they pre...
Publication Info
- Year
- 1995
- Type
- article
- Volume
- 19
- Issue
- 4
- Pages
- 561-570
- Citations
- 2840
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.2307/249633