Revealing Tacit Knowledge In Organizations Through Recommender Systems, Supported By Artificial Intelligence

The current and future success of organizations depends on identifying, revealing and making more use of tacit knowledge, as part of the internal knowledge held within organizations. In the current competitive environment, where every product and service can be imitated with great speed and ease in complex and demanding markets, organizations need knowledge more than ever. The knowledge of the employees of an organization has a direct effect on the creation and maintenance of organizational knowledge. Artificial intelligence technologies allow organizations to access and make better use of tacit knowledge that may remain hidden, but which is strategically important. Recommender systems supported by artificial intelligence uncover tacit knowledge, individual characteristics, and the personal tastes and interests of the employees, making it possible to reveal, share and utilize tacit knowledge. Making use of tacit knowledge, which is a form of internal knowledge within an organization, makes it easier to achieve goals. Making use of artificial intelligence can offer further benefits, leading organizations to develop more effective and efficient knowledge systems by adopting a more holistic approach to knowledge. Improving the quality and the performance of the organization requires the uncovering of tacit knowledge through recommender systems, supported by artificial intelligence, and thus creates added value for the organization. This requirement explains why organizations today are in greater need of quality management and process improvement. The aim of the present study was to demonstrate the benefits of using recommender systems supported by artificial intelligence in knowledge management for the revealing, sharing, and utilizing of tacit knowledge. In line with this purpose, a review of the literature was performed, which showed that recommender systems can be used to reveal tacit knowledge held within organizations. This study also presents the Profile Learning Model, discussing its role in the revealing of tacit knowledge via recommender systems