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

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.

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