The Impact of Gender and Experience on the Strength of the Relationships Between Perceived Data Warehouse Flexibility, Ease-of-Use, and Usefulness

Authors:
Richard J. Goeke;Mary Hogue;Robert H. Faley
Affiliations:
Widener University, USA;Kent State University, USA;Kent State University, USA
Venue:
Information Resources Management Journal
Year:
2010

Citing 26
Cited 1

Personal computing acceptance factors in small firms: a structural equation model

MIS Quarterly
Gender differences in the perception and use of E-mail: an extension to the technology acceptance model

MIS Quarterly
The impact of developer responsiveness on perceptions of usefulness and ease of use: an extension of the technology acceptance model

ACM SIGMIS Database
The essential guide to data warehousing

The essential guide to data warehousing
Measuring user satisfaction with data warehouses: an exploratory study

Information and Management
Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior

MIS Quarterly
Building the Data Warehouse,3rd Edition

Building the Data Warehouse,3rd Edition
Knowledge warehouse: an architectural integration of knowledge management, decision support, artificial intelligence and data warehousing

Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Expert versus novice use of the executive support systems: an empirical study

Information and Management
Why do people use information technology?: a critical review of the technology acceptance model

Information and Management
A Self-Efficacy Theory Explanation for the Management of Remote Workers in Virtual Organizations

Organization Science
Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model

Information Systems Research
Features to consider in a data warehousing system

Communications of the ACM - Blueprint for the future of high-performance networking
The Impact of Experience and Time on the Use of Data Quality Information in Decision Making

Information Systems Research
A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study

Information Systems Research
Data warehouse governance: best practices at blue cross and blue shield of North Carolina

Decision Support Systems
Technology acceptance model for internet banking: an invariance analysis

Information and Management
Web Acceptance Model (WAM): Moderating effects of user experience

Information and Management
Involvement and Decision-Making Performance with a Decision Aid: The Influence of Social Multimedia, Gender, and Playfulness

Journal of Management Information Systems
The Use of Explanations in Knowledge-Based Systems: Cognitive Perspectives and a Process-Tracing Analysis

Journal of Management Information Systems
Leveraging the flexibility of your data warehouse

Communications of the ACM
An empirical investigation of the key determinants of data warehouse adoption

Decision Support Systems
An MDA approach for the development of data warehouses

Decision Support Systems
Data warehousing supports corporate strategy at first American corporation1,2

MIS Quarterly
An empirical investigation of the factors affecting data warehousing success

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

MIS Quarterly

The role of theory in gender and information systems research

Information and Organization

Quantified Score

Hi-index	0.00

Visualization

Abstract

Experienced end-users are more likely to leverage the flexibility embedded within an information system. System flexibility influences ease-of-use perceptions, which influence user perceptions of system usefulness. Because men tend to have more experience with information systems and possess less computer anxiety than women, the strength of the relationship between user perceptions of system flexibility and ease of use should be significantly stronger for men. Although the authors found that the strength of this relationship was significant for men and women, the relationship was significantly stronger for women. No significant differences were found based on user differences in the length of their experience with a data warehouse. These findings challenge the conventional wisdom about the effect of gender and experience on system use, and have ramifications for both researchers and practitioners interested in optimizing data warehouse usage.