en و موضوعات مربوط Other Related Subject پژوهشي Research <p> <i> Improving knowledge worker productivity has been one of the most important tasks of the century. However, we have few measures or management interventions to make such improvement possible, and it is difficult to identify patterns that should be followed by knowledge workers because systems and processes in an organization are often regarded as a death blow to creativity. In this paper, we seek to present a method for prediction of Knowledge worker productivity (KWP) that it must be capable of predicting the productivity of the knowledge workers in a one year period of time based on the Fuzzy cognitive maps (FCM) technique Based on Real Coded Genetic Algorithm (RCGA) , as well as presenting the best option from among different options as the knowledge workers’ productivity improving strategy (suggesting solution), based on the results gained from this and the previous section and depending on the requirements. The validity of the suggested model will be tested in an Iranian Company </i><i>. </i></p> Knowledge work, Knowledge Worker Productivity; Fuzzy Cognetive Maps; Knowledge Management 21 30 http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-181-2&slc_lang=en&sid=1 Asadallah Najafi anajafi@aut.ac.ir 18003194753284600955 18003194753284600955 No Department of Engineering and Technology, Islamic Azad University, Zanjan Branch, Zanjan, Iran Abbas Afrazeh afrazeh@aut.ac.ir 18003194753284600956 18003194753284600956 Yes Assistant professor Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran