Identification and clustering modes of learning and innovation in high technology and medium technology firms

Document Type : Original Article

Authors

1 Department of Technology management, Science and Research Branch, Islamic Azad university, Tehran, Iran

2 2 Assistant Professor,Technology ManagementÙˆ University of Tehran

Abstract

Today,Regarding to the importance of innovation, organizations are trying to promote it to gain competitive advantage and market share. In such circumstances, organizational learning capabilities can be the best way to achieve this success and take advantage of opportunities and creating innovation in different forms. In this regard, different modes of learning and innovation is important. In this article has been tried by identification and clustering of learning modes in 728 firms active in high-tech(ICT) and medium-tech (Oil&Gas, Automotive parts manufacturer) industry in Iran as a developing country to help development policies making and innovation capabilities improvement. Therefore, by defining appropriate indicators to assess learning modes by latent class method,four clusters of 1-Average DUI+STI, 2-DUI, 3-Strong(STI+DUI) 4-Moderate STI, have been recognized. Finally, the effect of the above modes on the performance of firms with logistic regression, analysed and identified So as a result we found organizations with combined STI+DUI, have achieved more success in financial growth,export and innovation.

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References

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  • Receive Date: 24 July 2017
  • Revise Date: 25 February 2018
  • Accept Date: 17 September 2018

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