近年來，應用BI系統制訂決策已經成為大家關注的議題。雖然很多企業導入BI系統，但是大部分主管仍然只有被動的等待MIS人員設計報表供期使用。但是因為資料增長數度太快，完全倚賴MIS人員將無法開發出足夠的報表。因此要能發會BI效果，協助主管做出及時且有數據基礎決策，提升組織策略與計畫品質只有倚賴企業主管深入採用BI系統。然而調查顯示卻顯少有主管親自動手建立BI報表，就算是系統介面已經設計到完全不需寫程式，而查詢結果也可以主管熟悉的Excel介面展示。本計劃第一年期將整合期望理論及社會交換理論，提出增加主管使用意圖之激勵誘因，並進一步結合BDB模型探討如何增加主管願意拉報表意願。另一方面，除了激勵誘因，性格特質也可能決定主管是否願意使用數據分析資料並做決策。如有這樣的差別，應該要先對性格上較易接受BI系統的主管推動，以期花較少力量就能獲致顯著成果。所以，第二年期計畫將整合性格五大模式與BDB模型，調查主管在決策制訂和資料使用上的行為，來分析主管親自動手拉報表的意願。希望經由本研究能提升BI的使用與企業的決策績效。 Decision making with Business Intelligence (BI) has attracted increasing attention in recent years since data are accumulated in organizations in unforeseeable pace. In North America and Europe, BI has surpassed ERP as the most commonly queried IS keywords in Google. Nevertheless, most managers still rely on MIS professionals to provide query reports. The process can be time consuming and error prone. These problems hinder organizations to ripe the full benefit of making rational decisions with numeric data. Since data are accumulated faster than MIS professionals can be trained, the most possible way to tackle the problem is to encourage managers to create BI reports directly. To help managers to do so, BI systems have make query design so easy that no program has to be written and the result can be displayed in an Excel-like interface. However, even with the huge potential benefit and ease of use interface, few managers have really created BI reports personally. The study is therefore designed to study the ways organizations can adopt to encourage managers to created BI reports to boost the efficiency and effectiveness of decision making. In the first year, this study will integrate Expectancy Theory and Social Exchange Theory (SET) to investigate incentives to encourage business managers. Furthermore, the integrated model will be also consolidated with BDB model to study managers’ intention of creating BI reports. On the other hand, the personal tendency of making decisions with numeric data may be effected by personality traits of managers. To boost the usage of BI systems with minimal effort in the early stage of system adoption, organizations therefore may have to focus their resources on the managers who are more likely to fully utilize the systems. Therefore, the second year of this study will integrate Five Factor Model (FFM) and BDB model to investigate managers’ intention on making decision with numerical data to examine this model, we will proceed to use a cross-sectional survey and then perform statistical analysis. The project is expected to find ways to effectively promote in-depth usage of BI systems among managers with suitable personality trait 研究期間：10008 ~ 10107
