Components of Startups Knowledge Management in Knowledge and Information Science discipline

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, the present study was conducted with the aim of identifying the components of knowledge management that affect the startups in Knowledge and Information Science.

The present study was conducted in two parts: qualitative (Meta synthesis and Delphi) and quantitative (exploratory factor analysis); first, the components of knowledge management for startups were identified by the Meta synthesis method and the components identified by the Delphi method were counted. Then, exploratory factor analysis was used to summarize and categorize the components. 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 startup managers were used. The research instrument was a researcher made questionnaire. The data were analyzed through SPSS software using mean and standard deviation, Bartlett and KMO test, and exploratory factor analysis.

The findings show that the components of the knowledge management of startups in Knowledge and Information Science are nine factors of knowledge recognition, knowledge creation, knowledge organization, knowledge presentation, knowledge sharing, knowledge application, knowledge development, knowledge change and knowledge protection, which explain 70.096 percent of the variance of Knowledge Management of Startups in Knowledge and Information Science. The results of exploratory factor analysis also show that the components of knowledge application, knowledge sharing and knowledge creation are the most important components of knowledge management of startups in Knowledge and Information Science, respectively.

The results of this research can be used as a model for the implementation of knowledge management and thus provide the ground for the growth and development of such startups as much as possible.