عنوان مقاله [English]
Objective: Today, the role of physical and financial resources as a competitive advantage among organizations has diminished and is largely based on strategic management of knowledge and knowledge assets. This, in turn, has led to the emergence of companies and organizations whose core foundation is knowledge and application of ideas, creativity and innovation in the realities of the new business world. Therefore, to explore the factors affecting knowledge management of startups in Knowledge and Information Science.
Methodology: This study is an exploratory study using Delphi qualitative method. The population of the study included 30 experts in the field of Knowledge and Information Science and knowledge management, and in the exploratory section the opinions of 300 IT science startup managers were used. The research instrument was a questionnaire. The data were analyzed by SPSS 20 software using mean and standard deviation, Bartlett and KMO test, and exploratory factor analysis.
Finding: The findings show that the factors affecting the knowledge management of information science startups are dedicated in nine factors wich are knowledge recognition, knowledge creation, knowledge organization, knowledge presentation, knowledge sharing, knowledge application, knowledge development, knowledge change and knowledge protection. All 9 factors have eigenvalues above one, and the first one with the eigenvalue of 12.031 has the largest share in knowledge management of start-ups and explains 33.875% of its variance. The second factor with a specific value of 6/193 and the third factor with a specific value of 4/293 are next. The fourth factor has a par value of 2.890, the fifth factor of the par value of 1.551, the sixth factor of 1.449, the seventh factor of 1.288, the eighth factor of 1.126, and the ninth factor has the par value of 1.032, of which 9 are cumulative. 70.0996% of the variance explains the factors affecting knowledge management of startups in the field of information science and knowledge. Overall, 70.0996% of the variance explains the factors affecting knowledge management in science and technology startups. According to the results of exploratory factor analysis, the first factor named as knowledge application with a specific value of 12.031 has the highest share in knowledge management of start-ups and explains 33.875% of its variance. So, with this result in mind, it can be said that applying knowledge to start-ups is more important than other factors.
Conclusion: The results of this study can be used as a model for knowledge management implementation, thus providing the ground for the growth and development of such startups.