Middle managers intention to use information in a data-driven decision support system: A case study in the aircraft industry.

摘要

As aircraft organizations, like many organizations, seek out ways to increase efficiencies in order to remain competitive within the market, higher utilization of information and personnel become essential. This increase in efficiency will require additional insight into the behavioral intention predictability of middle managers that are responsible for making the decisions that drive efficiencies. Theoretical models such as the Theory of Reasoned Action (TRA), the Theory of Planned Behavior (TPB), and the Technology Acceptance Model (TAM) have linked behavioral intention to predictable behavior. This research study seeks to provide a deeper understanding into the phenomenon of the behavioral intention predictability of middle managers in the aircraft industry to who use information from a data-driven decision support system. The research intends to use a case study methodology utilizing interviews and observations to collect data about attitude, subjective norms, and perceived behavioral controls. All of these play a role in the prediction of behavioral intention. The expectation of the study is to provide organizations, within the aerospace industry, with advanced understanding about behavioral intention predictability to maximize information utilization and performance from a data-driven decision support system. This research study focuses on the measurement of behavioral intention to use, not use itself.