Measuring User Satisfaction With
Intelligent Agents: An Exploratory Study
Author(s)
F. Fourati
Abstract
Competitive Intelligence is the collection, selection, analysis, and diffusion of
public information which is strategically important to a company’s management.
The initial form of such analysis is referred to as Web Mining. In Web Content
Mining, intelligent agents return a set of pages appropriate for the user’s query.
In this study, we identify the items of the degree of end-user satisfaction with
Intelligent Agents. This study demonstrates that most items in the classic enduser
satisfaction measure are still valid in using Intelligent Agents. These items
were incorporated into a questionnaire. Surveys were mailed to 500 company
decision-makers in France. Among all the returned questionnaires, 47 were
found to be complete and usable.
In addition, we demonstrate the existence of the relationship between the ease
of use of Intelligent Agents, the degree of end-user satisfaction and the
functionality of this technology.
This study provides empirical evidence that the degree of end-user
satisfaction is not only positively related to the ease of use of Intelligent Agents
but also to the functionality of this technology.
Keywords: competitive intelligence, intelligent agents, user satisfaction.
1 Introduction
The purpose of this paper is to identify the underlying items of the degree of enduser
satisfaction in conjunction with Intelligent Agents.
First, we proposed some definitions of Competitive Intelligence, Web Mining
and Intelligent Agents in order to understand the reasons of this technology.
Second, we demonstrate the existence of relationship between the ease of use
of Intelligent Agents, the degree of end-user satisfaction and the functionality of
this technology.
Keywords
competitive intelligence, intelligent agents, user satisfaction.
Related Book
Other papers in this volume
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