Examining the effect of user satisfaction on system usage and individual performance with business intelligence systems: An empirical study of Taiwan's electronics industry

doi:10.1016/j.ijinfomgt.2012.03.001

CNU IR > College of Smart Living > Dept. of Information Management > Periodical Articles > Item 310902800/27514

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/27514

Title:	Examining the effect of user satisfaction on system usage and individual performance with business intelligence systems: An empirical study of Taiwan's electronics industry
Authors:	Hou, Chung-Kuang
Contributors:	資訊管理系
Keywords:	End-User Computing Satisfaction Business Intelligence User Satisfaction System Usage Individual Performance
Date:	2012-12
Issue Date:	2014-03-21 16:12:02 (UTC+8)
Publisher:	Elsevier Sci Ltd
Abstract:	The advent of new information technology has radically changed the end-user computing environment over the past decade. To enhance their management decision-making capability, many organizations have made significant investments in business intelligence (BI) systems. The realization of business benefits from BI investments depends on supporting effective use of BI systems and satisfying their end user requirements. Even though a lot of attention has been paid to the decision-making benefits of BI systems in practice, there is still a limited amount of empirical research that explores the nature of end-user satisfaction with BI systems. End-user satisfaction and system usage have been recognized by many researchers as critical determinants of the success of information systems (IS). As an increasing number of companies have adopted BI systems, there is a need to understand their impact on an individual end-user's performance. In recent years, researchers have considered assessing individual performance effects from IS use as a key area of concern. Therefore, this study aims to empirically test a framework identifying the relationships between end-user computing satisfaction (EUCS), system usage, and individual performance. Data gathered from 330 end users of RI systems in the Taiwanese electronics industry were used to test the relationships proposed in the framework using the structural equation modeling approach. The results provide strong support for our model. Our results indicate that higher levels of EUCS can lead to increased BI system usage and improved individual performance, and that higher levels of BI system usage will lead to higher levels of individual performance. In addition, this study's findings, consistent with DeLone and McLean's IS success model, confirm that there exists a significant positive relationship between EUCS and system usage. Theoretical and practical implications of the findings are discussed. (C) 2012 Elsevier Ltd. All rights reserved.
Relation:	International Journal of Information Management, 32(6), 560-573
Appears in Collections:	[Dept. of Information Management] Periodical Articles

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	2544	View/Open

Loading...