Information technology assisted by artificial intelligence can support organizational learning and enable organizations to form and execute strategy effectively. Organizational style is changing. Realizing the characteristics of social problems, more and more organizations are now loosening couplings so that their subsystems may have more chance to enact environment. As Weick (1976) suggested, loosely coupled organizations permitting considerable flexibility in the behavior of their subsystems are better able to adapt and survive. Traditional organization style --hierarchical tightly coupled system-- is becoming out of date. In formulating strategy, executives are now becoming aware of inevitable ambiguity in the real world. Traditional analytical strategy is based on two assumptions which often prove false: that the formulator is fully informed, and that the environment is stable, or at least predictable. Due to the absence of either condition these days, the importance of emergent strategy (Mintzberg, 1978) has become widely acknowledged among managers in the business world. Because of these changes in organization and strategy, many organizations are having difficulties in making strategic decisions. Through intensive case studies of a private college, a typical example of loose coupling, 1 have developed and verified following new hypotheses: information technology assisted by artificial intelligence can help organizations form and implement appropriate strategies by improving organizational decision making process through organizational learning.