scispace - formally typeset
M

Michael G. Morris

Researcher at University of Virginia

Publications -  26
Citations -  44715

Michael G. Morris is an academic researcher from University of Virginia. The author has contributed to research in topics: Technology acceptance model & Usability. The author has an hindex of 21, co-authored 26 publications receiving 36246 citations. Previous affiliations of Michael G. Morris include Indiana University & Air Force Institute of Technology.

Papers
More filters
Journal ArticleDOI

User acceptance of information technology: toward a unified view

TL;DR: The Unified Theory of Acceptance and Use of Technology (UTAUT) as mentioned in this paper is a unified model that integrates elements across the eight models, and empirically validate the unified model.
Posted Content

User Acceptance of Information Technology: Toward a Unified View

TL;DR: TAUT provides a useful tool for managers needing to assess the likelihood of success for new technology introductions and helps them understand the drivers of acceptance in order to proactively design interventions targeted at populations of users that may be less inclined to adopt and use new systems.
Journal ArticleDOI

Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior

TL;DR: Using the Technology Acceptance Model (TAM), gender differences in the overlooked context of individual adoption and sustained usage of technology in the workplace are investigated.
Journal ArticleDOI

Age differences in technology adoption decisions: implications for a changing work force

TL;DR: In this paper, the authors investigated age differences in individual adoption and sustained usage of technology in the workplace using the theory of planned behavior and found that younger workers' technology usage decisions were more strongly influenced by attitude toward using the technology.
Journal ArticleDOI

A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes.

TL;DR: Findings were robust across income, organization position, education, and computer self-efficacy levels, thus fortifying the lasting influence of gender-based early evaluations of the new technology.