An Empirical Assessment of Technology Adoption as a Choice between Alternatives

Authors:
Ernst Bekkering;Allen C. Johnston;Merrill Warkentin;Mark B. Schmidt
Affiliations:
Northeastern State University, USA;University of Alabama Birmingham, USA;Mississippi State University, USA;St. Cloud State University, USA
Venue:
Information Resources Management Journal
Year:
2009

Citing 8
Cited 1

Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs

MIS Quarterly
Going wireless: behavior & practice of new mobile phone users

CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Research Commentary: Desperately Seeking the "IT" in IT Research--A Call to Theorizing the IT Artifact

Information Systems Research
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies

Management Science
Managing user acceptance towards enterprise resource planning (ERP) systems: understanding the dissonance between user expectations and managerial policies

European Journal of Information Systems - Special issue: Making enterprise systems work
Perceived usefulness, perceived ease of use, and user acceptance of information technology

MIS Quarterly
User acceptance of information technology: toward a unified view

MIS Quarterly
Behavioral theories relating to the design of information systems

MIS Quarterly

Personal characteristics and mobile Internet use intensity of consumers with computer-centric communication devices: An exploratory empirical study of iPad and laptop users in Germany

Telematics and Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Technology adoption by individuals has traditionally been regarded by information systems researchers as a choice between adoption and non-adoption of a single technology. With the current diversity of technology alternatives, the adoption decision may be more accurately specified as a choice between competing alternative technologies. The research question may no longer be simply whether technology is adopted, but rather which technology is adopted. The authors illustrate this with a simplified model of choice between two competing technologies, where the second technology is an enhanced version of the first. Their theoretical model is based on Expectancy Theory ET. Results indicate that system characteristics can be successfully captured in the Valence Model of ET, and effort expectancy in the Force Model. Future research can expand on these results by including more factors in the Valence Model, and by comparing more than two alternative technologies.