PREDICTING THE USER ACCEPTANCE OF PERSONALIZED INFORMATION SYSTEMS: CASE MEDICAL PORTAL

Seppo Pahnila

Abstract

This paper describes ongoing research, which focuses on the effect of attitudes and intentions in the use of personalized Web Information Systems (WIS). By applying the widely used Technology Acceptance Model (TAM), the theory of planned behavior, innovation diffusion theory and self-efficacy theory, we take an extended view of the factors explaining the individual acceptance and usage of newly emerging personalized Web Information Systems. Many features of personalized WIS differ from the “traditional” information systems, and we believe that this research will shed new light on the research into the acceptance of personalized WIS.

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Paper Citation


in Harvard Style

Pahnila S. (2004). PREDICTING THE USER ACCEPTANCE OF PERSONALIZED INFORMATION SYSTEMS: CASE MEDICAL PORTAL . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 5: ICEIS, ISBN 972-8865-00-7, pages 195-202. DOI: 10.5220/0002630101950202


in Bibtex Style

@conference{iceis04,
author={Seppo Pahnila},
title={PREDICTING THE USER ACCEPTANCE OF PERSONALIZED INFORMATION SYSTEMS: CASE MEDICAL PORTAL},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 5: ICEIS,},
year={2004},
pages={195-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002630101950202},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 5: ICEIS,
TI - PREDICTING THE USER ACCEPTANCE OF PERSONALIZED INFORMATION SYSTEMS: CASE MEDICAL PORTAL
SN - 972-8865-00-7
AU - Pahnila S.
PY - 2004
SP - 195
EP - 202
DO - 10.5220/0002630101950202