Introducing agent based implementation of the theory of reasoned action: A case study in user acceptance of computer technology

Shravan Sogani, Rukmini Muduganti, Henry Hexmoor, Fred Davis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

It is important to predict and analyze user acceptance of computer technology in order to address success and failures of technological products. The Theory of Reasoned Action has been used for two decades in empirical studies to predict user acceptance of computer technology based on parameters of attitude, subjective norm and behavioral intention. Empirical studies are expensive to carry out and inflexible in predicting the diffusion of parameters over time. In this paper we introduce an agent-based implementation that implements a simple version of the theory of reasoned action model. Our agent-based implementation simulates continuous data compared to empirical studies, which collect static data over discrete intervals of time. Empirical studies are unable to account for the changes in data between successive time intervals. Our implementation is cost effective and easy to use. The results we produced corroborate the results obtained from the last few decades of empirical research in this field.

Original languageEnglish
Title of host publication2005 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS'05
Subtitle of host publicationModeling, Exploration, and Engineering
Pages507-511
Number of pages5
DOIs
StatePublished - 2005
Event2005 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS'05: Modeling, Exploration, and Engineering - Waltham, MA, United States
Duration: Apr 18 2005Apr 21 2005

Publication series

Name2005 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS'05: Modeling, Exploration, and Engineering
Volume2005

Conference

Conference2005 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS'05: Modeling, Exploration, and Engineering
CountryUnited States
CityWaltham, MA
Period04/18/0504/21/05

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