پديد آورندگان :
محمدزاده روشتي، زيبا داﻧﺸﮕﺎه آزاد اﺳﻼﻣﯽ واﺣﺪ ﺑﺎﺑﻞ - ﮔﺮوه ﻋﻠﻢ اﻃﻼﻋﺎت و داﻧﺶ ﺷﻨﺎﺳﯽ , قياسي، ميترا داﻧﺸﮕﺎه آزاد اﺳﻼﻣﯽ واﺣﺪ ﺑﺎﺑﻞ - ﮔﺮوه ﻋﻠﻢ اﻃﻼﻋﺎت و داﻧﺶ ﺷﻨﺎﺳﯽ , طهماسبي ليموني، صفيه داﻧﺸﮕﺎه آزاد اﺳﻼﻣﯽ واﺣﺪ ﺑﺎﺑﻞ - ﮔﺮوه ﻋﻠﻢ اﻃﻼﻋﺎت و داﻧﺶ ﺷﻨﺎﺳﯽ
چكيده فارسي :
ﻫﺪف: ﭘﮋوﻫﺶ ﺣﺎﺿﺮ، ﺑﺎ ﻫﺪف ﮐﺸﻒ ﻣﺆﻟﻔﻪ ﻫﺎي ﻣﺪﯾﺮﯾﺖ داﻧﺶ ﻣﺆﺛﺮ ﺑﺮ اﺳﺘﺎرت آپ ﻫﺎي ﺣﻮزه ﻋﻠﻢ اﻃﻼﻋﺎت و داﻧﺶ ﺷﻨﺎﺳﯽ ﺻﻮرت ﮔﺮﻓﺖ.
روش ﭘــﮋوﻫﺶ: ﭘــﮋوﻫﺶ در دو ﺑﺨــﺶ ﮐﯿﻔــﯽ )ﻓﺮاﺗﺮﮐﯿــﺐ و دﻟﻔــﯽ( و ﮐﻤــﯽ )ﺗﺤﻠﯿــﻞ ﻋــﺎﻣﻠﯽ اﮐﺘﺸــﺎﻓﯽ( ﺻــﻮرت ﮔﺮﻓــﺖ؛ اﺑﺘــﺪا ﻣﺆﻟﻔــﻪ ﻫــﺎي ﻣﺪﯾﺮﯾﺖ داﻧـﺶ ﺑـﺮاي اﺳـﺘﺎرت آپ ﻫـﺎ ﺑـﺎ روش ﻓﺮاﺗﺮﮐﯿـﺐ ﺷﻨﺎﺳـﺎﯾﯽ ﮔﺮدﯾـﺪ و ﻣﺆﻟﻔـﻪ ﻫـﺎي ﺷﻨﺎﺳـﺎﯾﯽ ﺷـﺪه از ﻃﺮﯾـﻖ روش دﻟﻔـﯽ اﺣﺼـﺎ ﺷـﺪ. ﺑـ ﻪ ﻣﻨﻈﻮر ﺗﻠﺨﯿﺺ و دﺳﺘﻪ ﺑﻨـﺪي ﻣﺆﻟﻔـﻪ ﻫـﺎ از ﺗﺤﻠﯿـﻞ ﻋـﺎﻣﻠﯽ اﮐﺘﺸـﺎﻓﯽ اﺳـﺘﻔﺎده ﺷـﺪ. ﺟﺎﻣﻌـ ﻪ آﻣـﺎري در ﺑﺨـﺶ دﻟﻔـﯽ 30 ﻧﻔـﺮ از ﺻـﺎﺣﺒﻨﻈﺮان ﺣـﻮز ه ﻋﻠﻢ اﻃﻼﻋﺎت و داﻧﺶ ﺷﻨﺎﺳـﯽ و ﻣـﺪﯾﺮﯾﺖ داﻧـﺶ ، رﺷـﺘﻪ ﻣـﺪﯾﺮﯾﺖ و ﺑﺮﺧـ ﯽ ﺷـﺮﮐﺖ ﻫـﺎ ي ﻣـﺮﺗﺒﻂ ﺑـﺎ اﺳـﺘﺎرت آپ ﻫـﺎ ي در زﻣﯿﻨـ ﻪ ﻋﻠـﻢ اﻃﻼﻋـﺎت و داﻧﺶ ﺷﻨﺎﺳﯽ ﺑﻮدﻧﺪ و در ﺑﺨـﺶ اﮐﺘﺸـﺎﻓﯽ ﻧﯿـﺰ از ﻧﻈـﺮات 300 ﻧﻔـﺮ از ﻣـﺪﯾﺮان و ﮐﺎرﺷﻨﺎﺳـﺎن اﺳـﺘﺎرت آپ ﻫـﺎ در اﯾـﻦ ﺣـﻮز ه ﺑﻬـﺮه ﺑـﺮده ﺷـﺪ. اﺑـﺰار ﭘﮋوﻫﺶ ﭘﺮﺳﺸﻨﺎﻣﻪ ﻣﺤﻘﻖ ﺳﺎﺧﺘﻪ ﺑـﻮد. ﺑـﺮاي ﺗﺤﻠﯿـﻞ داده ﻫـﺎ از آزﻣـﻮن ﻫـﺎي ﺗﻮﺻـﯿﻔﯽ ﻣﯿـﺎﻧﮕﯿﻦ، اﻧﺤـﺮاف ﻣﻌﯿـﺎر، آزﻣـﻮن ﺑﺎرﺗﻠـﺖ و ﺗﺤﻠﯿـﻞ ﻋـﺎﻣﻠﯽ اﮐﺘﺸﺎﻓﯽ اﺳﺘﻔﺎده ﺷﺪ.
ﯾﺎﻓﺘﻪ ﻫﺎ: ﯾﺎﻓﺘﻪ ﻫﺎ ﻧﺸﺎن ﻣـﯽ دﻫـﺪ ﮐـﻪ ﻣﺆﻟﻔـﻪ ﻫـﺎي ﻣـﺪ ﯾﺮﯾﺖ داﻧـﺶ اﺳـﺘﺎرت آپ ﻫـﺎي رﺷـﺘﻪ ﻋﻠـﻢ اﻃﻼﻋـﺎت و داﻧـﺶ ﺷﻨﺎﺳـ ﯽ در ﻧـﻪ ﻣﺆﻟﻔـﻪ اﺻـﻠﯽ ﺷﺎﻣﻞ: ﺷﻨﺎﺳﺎﯾﯽ داﻧﺶ، ﺧﻠﻖ داﻧﺶ، ﺳـﺎﻣﺎﻧﺪﻫﯽ داﻧـﺶ، اراﺋـﻪ داﻧـﺶ، ﺗﺴـﻬﯿﻢ داﻧـﺶ، ﮐﺎرﺑﺴـﺖ داﻧـﺶ، ﺗﻮﺳـﻌ ﻪ داﻧـﺶ، ﺗﻐﯿﯿـﺮ داﻧـﺶ و ﺣﻔﺎﻇـﺖ از داﻧﺶ ﻗﺮار ﻣـﯽ ﮔﯿﺮﻧـﺪ ، ﮐـﻪ ﺟﻤﻌـﺎً 70/096 درﺻـﺪ از وارﯾـﺎﻧﺲ ﻣـﺪ ﯾﺮﯾﺖ داﻧـﺶ اﺳـﺘﺎرت آپ ﻫـﺎي رﺷـﺘﻪ ﻋﻠـﻢ اﻃﻼﻋـﺎت و داﻧـﺶ ﺷﻨﺎﺳـ ﯽ را ﺗﺒﯿـﯿ ﻦ ﻣﯽ ﮐﻨﻨﺪ. ﺑﺮ اﺳﺎس ﻧﺘﺎﯾﺞ ﺗﺤﻠﯿﻞ ﻋـﺎﻣﻠﯽ اﮐﺘﺸـﺎﻓﯽ، ﻣﺆﻟﻔـﻪ ﻫـﺎ ي ﮐﺎرﺑﺴـﺖ داﻧـﺶ، ﺗﺴـﻬﯿﻢ داﻧـﺶ و ﺧﻠـﻖ داﻧـﺶ ﺑـﻪ ﺗﺮﺗﯿـﺐ ﻣﻬﻤﺘـﺮﯾﻦ ﻣﺆﻟﻔـﻪ ﻫـﺎ ي ﻣﺪﯾﺮﯾﺖ داﻧﺶ در اﺳﺘﺎرت آپ ﻫﺎي ﻋﻠﻢ اﻃﻼﻋﺎت و داﻧﺶ ﺷﻨﺎﺳﯽ ﻫﺴﺘﻨﺪ.
ﻧﺘﯿﺠﻪ ﮔﯿﺮي: ﻧﺘﺎﯾﺞ اﯾﻦ ﭘﮋوﻫﺶ ﻣﯽ ﺗﻮاﻧﺪ ﺑـﻪ ﻋﻨـﻮان اﻟﮕـﻮ ﯾﯽ ﺑـﺮا ي ﭘﯿـ ﺎده ﺳـﺎز ي ﻣـﺪ ﯾﺮﯾﺖ داﻧـﺶ اﺳـﺘﻔﺎده ﺷـﺪه و ﺑـﺪ ﯾﻦ ﺗﺮﺗﯿـ ﺐ زﻣﯿﻨـﻪ را ﺑـﺮا ي رﺷﺪ و ﺗﻮﺳﻌﻪ ﻫﺮﭼﻪ ﺑﯿﺸﺘﺮ اﯾﻦ ﮔﻮﻧﻪ اﺳﺘﺎرت آپ ﻫﺎ را ﻓﺮاﻫﻢ ﮐﺮد.
چكيده لاتين :
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, the present study was conducted with the aim of identifying the components of knowledge management that affect the startups in Knowledge and Information Science.
Methodology: 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.
Finding: 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.
Conclusion: 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.
