Modern-PM has been shaped for a half century. It would not be fully matured, however, as there are a lot of rooms to be enhanced in the recent discussions about PM evolutions. The themes dealt with there are mostly innovations or business enhancement, such as PM combination with systems engineering, strategic management need, etc. However, we should remember that all the programs/projects consist of individual personal-projects. Personal-PM successes are the bases of all the organizational programs/projects. This paper shows Personal-PM characteristics, its roles, and the importance of its deeper study for the evolution of modem PM, as a conclusion.

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It is necessary to carry out several system correction changes at the renewal time of a large-scale IT system which replaces hardware equipment, OS, and even the service provided because of rapid technical progress in recent years. Moreover, the number of the systems which provide service continuously 24 hours a day, 365 days a year is increasing. As the result, the complexity and the risk of system correction change is growing day by day. CCB, which permits system correction change, has employed the DRBFM method which pays its attention to difference thoroughly from a practical experience. I propose the approach of applying DRBFM effectively.

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In order to prevent project failures or to repeat project successes, the mechanisms for project managements have been established and maintained in each business unit for enterprise. Recently, the approach extracting project management knowledge from these improved mechanisms and sharing them across business units have started in our enterprise. Then a prototype of PM-Knowledge-Viewer has been developed to facilitate to collect and to share project management knowledge. In this report, we show the evaluation results by PMOs as follows: (1) availability of project management knowledge extracted, (2) availability of supporting functions of PM-Knowledge-Viewer (knowledge navigation, knowledge evaluation, knowledge request, and case collection), and (3) analysis of feedbacks collected by using the knowledge evaluation function.

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