Task-Technology Fit in Data Warehousing Environments: Analyzing the Factors that Affect Utilization

Authors

Richard V. McCarthy, Quinnipiac University
George F. Claffey, Central Connecticut State University

Document Type

Article

Abstract

Enterprise data warehouses are an expensive investment in both time and resources. The promise of data warehouses is improved decision-making through user empowerment and enablement of sophisticated decision support tools. Have organizations been able to achieve this goal? Task- technology fit defines a model that suggests that for a technology to be utilized, it must meet the needs of a user and provide features that support the fit of the requirements of the task; performance impacts will result. When an organization commits the time and resources necessary to develop an enterprise data warehouse, their expectation will be a high task-technology fit. This study extends prior task-technology fit research to provide an evaluation of task-technology fit in data warehouse applications. The focus of the study is to examine the factors that contribute to the task-technology fit specifically within data warehouse environments.

Recommended Citation

McCarthy, Richard V. and Claffey, George F. (2005) "Task-Technology Fit in Data Warehousing Environments: Analyzing the Factors that Affect Utilization," Journal of International Technology and Information Management: Vol. 14: Iss. 4, Article 4.
DOI: https://doi.org/10.58729/1941-6679.1155
Available at: https://scholarworks.lib.csusb.edu/jitim/vol14/iss4/4