Knowledge Management, (KM) is an idea that this term arose for two decades. This means that to coordinate the entire organization 's information and knowledge itself. However this sounds confusing. According to the early saying from Davenport (1994), “Knowledge management is the process of capturing, distributing, and effectively using knowledge.” Further, another quote from Duhon (1998) saying that knowledge management is a discipline that promotes an integrated approach to identifying, capturing, evaluating, retrieving, and sharing all of an enterprise 's information assets. These assets may include databases, documents, policies, procedures, and previously un-captured expertise and experience …show more content…
Making a wrong decision can be waste of money. Wrong decision making is more than once compounds the cost and the problem says Seiner (2002); However, this waste could have been evaded if someone who make second decision by learning former fail experience. Company wants to make good business process and right decision which have positive impact upon whole operation.
A company learns by doing, knowledge comes from experiences. Learning from these experiences is expected within individuals while making the same mistake. If a company can make learning process even better, this can cross the barrier which obstruct the development by old-school knowledge itself, and also let it operate more efficiency. From what Knowledge Master’s (2014) mentioned that Learning in organizations goes far beyond training and courses, and the development of these strategies is one of the most important aspects of knowledge management. The purpose of knowledge is to promote experiences recording to ensure that those who can learn from experiencing the same …show more content…
(DZone Software, 2013). Also, to overcome the challenge, and make organization learn, the institution itself needs to be motivated. For instance, people have to learn and share the knowledge anytime to keep the pace with information trends nowadays (ibid). The third one is to keep every knowledge data would be accurate. Even though collecting experience and former knowledge can help shape the completeness of data, administrator still needs to keep data new and specific. Important data produced every staff in whole company which needs to check out before sharing. Then keep the information new from debug or cancel old ideas. At last, making sure that all the knowledge data would be relevant. Because all the data should be matched with the question or problem