Social Computer Technologies in Knowledge Alignment in Public Libraries of Semnan Province

The current research was conducted with the aim of studying social computer technologies in knowledge alignment in public libraries of Semnan province. The research method is applied in terms of purpose and descriptive-analytical and correlational survey method has been used. The statistical population of the general research is the librarians working in the public libraries of Semnan province in 1402, using the simple random sampling method and based on the Kargesi Morgan table, 162 of them were selected as the sample size, and 150 questionnaires were delivered. A questionnaire was also used to collect information. Also from S. P. S. S was used. The results of the research show that the components of knowledge alignment (attitude, mental norms, perceived behavioral control, willingness to share knowledge and knowledge sharing behavior) and the facilities and services of knowledge alignment of Telegram and WhatsApp are in a favorable condition from the point of view of the librarians of Semnan province. The variable of subjective norms can play an effective role in predicting the tendency to align knowledge. Both factors of willingness to share knowledge (β=0.727, p=0.0005<0.05) and control beliefs (β=0.181, p=0.05<0.002) affect knowledge sharing behavior. It was concluded that, among the independent variables, only the knowledge alignment facilities and services variable (β=0.215, p>0.05) has an effective role in predicting mental norms. The variable of knowledge alignment facilities and services (β=0.182, p>0.05) also has an effective role in predicting knowledge alignment (total).