A theoretical and empirical research on the importance of IT investment decision making and its methodologies in management strategy.

本研究的目的是试图从理论上考察企业如何将管理战略与IT投资决策相结合，以及企业决定IT投资的标准是什么，以及IT投资是否用于管理战略。首先，我们开始研究计算机系统提供的信息之间的差距的重要性，以及管理层需要什么信息以及如何通过关键成功因素选择分析来弥合差距。其次，我们考虑了多准则的IT决策方法，如平衡计分卡法、多因素计分法、层次分析法和实物期权法。并介绍了日本风险投资基金在IT投资方面的现状和面临的问题。此外，我们调查了中小企业的决策及其与经营绩效的关系，发现决策中时间概念与经营绩效之间的关系的重要性。然而，对于我们的研究目标之一——IT投资的效果度量，我们并没有得到一个明确的答案。综上所述，现实中的it投资决策需要考虑更为复杂的制约条件和制约因素。在这种情况下，只要能够识别约束条件和限制因素，就需要更复杂的多因素决策方法。然而，另一方面，它使问题的处理变得非常复杂。从这个意义上说，我们的研究澄清了问题的焦点，并提供了一个重要的起点。

The purpose of this research is to attempt a theoretical examination on how enterprise has integrated management strategy and IT investment decision-making, and on which criteria the enterprise decides on IT investment and whether it is used for management strategy.First of all, we began a study on the importance of the gap between the information provided by computer systems, and what information is demanded by management and how the critical success factor selection analysis that can bridge the gap.Next, we considered multi-criteria IT decision making methods such as the balanced score card method, the multi-factor scoring method, the analytic hierarchy process method, and the real option approach.And, we presented the current state and issues facing Japanese venture capital funds related to the IT investment. In addition, we investigated the decision making in small and medium-sized enterprises and the relation to their operating performance, and found the importance of the relation between the concept of time in the decision making and operating performance. However, we were not able to get a clear answer on the effect measurement of the IT investment, one of our research targets.In conclusion, it is necessary to consider a lot more complex restricted conditions and limitation factors to IT investment decision in reality. In such a situation, the more sophisticated multi-factor decision making methods are demanded as long as the restricted conditions and the limitation factors can be recognized. However, it remarkably complicates the processing of the problem in the other hand. In that sense, our research clarifies the focus of the problem, and offers an important starting point.