@article{(Open Science Index):https://publications.waset.org/pdf/11837,
	  title     = {Technological Deep Assessment of Automotive Parts Manufacturers Case of Iranian Manufacturers},
	  author    = {Manouchehre Ansari and  Mahmoud Dehghan Nayeri and  Reza Yousefi Zenouz},
	  country	= {},
	  institution	= {},
	  abstract     = {In order to develop any strategy, it is essential to first
identify opportunities, threats, weak and strong points. Assessment of
technology level provides the possibility of concentrating on weak
and strong points. The results of technology assessment have a direct
effect on decision making process in the field of technology transfer
or expansion of internal research capabilities so it has a critical role
in technology management. This paper presents a conceptual model
to analyze the technology capability of a company as a whole and in
four main aspects of technology. This model was tested on 10
automotive parts manufacturers in IRAN. Using this model,
capability level of manufacturers was investigated in four fields of
managing aspects, hard aspects, human aspects, and information and
knowledge aspects. Results show that these firms concentrate on hard
aspect of technology while others aspects are poor and need to be
supported more. So this industry should develop other aspects of
technology as well as hard aspect to have effective and efficient use
of its technology. These paper findings are useful for the technology
planning and management in automotive part manufactures in IRAN
and other Industries which are technology followers and transport
their needed technologies.},
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {3},
	  number    = {6},
	  year      = {2009},
	  pages     = {728 - 733},
	  ee        = {https://publications.waset.org/pdf/11837},
	  url   	= {https://publications.waset.org/vol/30},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 30, 2009},
	}