Amirah has been working in the education field for over 15 years and has held several administrative and academic positions in colleges and universities. In addition to her academic experience, she has participated in analyzing and designing systems in a variety of industries.
Data warehouses have emerged as a predominant technology that aims at enabling knowledge workers to make better and faster decisions. There is an ever-increasing demand on institutions of higher education to make efficient and effective decisions. Despite the need for improved accessibility and analysis of information, higher education institutions have a low adoption of data warehousing as a decision support technology compared to the business environment. In spite of the growing interest of organizations for implementing data warehousing, research on the influence of data warehousing on decision making quality remains relatively scarce.
Thus, the present research study aims to contribute to the development of knowledge on the effectiveness of the data warehouse on improving decision making in the context of higher education. More specifically, it endeavors to understand and measure the effect of the data warehouse technology on decision quality and speed.
To achieve this goal, a literature review was conducted in order to provide an original conceptualization of decision quality. Then a reliable and valid scale to measure decision quality was developed. Finally, serial multiple mediators model were built that depicts the effects of implementing the warehouse on decision making quality and speed and tested a set of hypotheses covering the mediating effects. The empirical data was gathered from American colleges and universities using a web-based survey tool. A total sample of 166 respondents was obtained from academic institutions that implement a data warehouse and that implement other information technologies.
The results of this research were twofold. First, a 7-item original scale to measure decision quality was developed. The psychometric qualities of this scale were shown, using Churchill’s procedure (1979). Second, a model which details the relationships between the presence of the data warehouse and decision quality and speed was proposed and validated.
The existence of five mediating variables was unveiled: system quality, information quality, the quality of the three phases of the decision making process, namely, the intelligence phase quality, the design phase quality and the choice phase quality.
Keywords: data warehouse, decision making process, system quality, information quality, decision quality, decision speed.