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<Journal>
				<PublisherName>Faculty of Entrepreneurship, University of Tehran</PublisherName>
				<JournalTitle>Journal of  Entrepreneurship Development</JournalTitle>
				<Issn>2008-2266</Issn>
				<Volume>7</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Identifying and prioritizing the transfer of high technologies parameters at various Technology Readiness Levels (TRLs)</ArticleTitle>
<VernacularTitle>Identifying and prioritizing the transfer of high technologies parameters at various Technology Readiness Levels (TRLs)</VernacularTitle>
			<FirstPage>675</FirstPage>
			<LastPage>695</LastPage>
			<ELocationID EIdType="pii">53624</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jed.2014.53624</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Esmaeil</FirstName>
					<LastName>Kalantari</LastName>
<Affiliation>M.S. in Entrepreneurship - New Business, Faculty of Entrepreneurship, Tehran University</Affiliation>

</Author>
<Author>
					<FirstName>Jahanshah</FirstName>
					<LastName>Charkhtab Moghaddam</LastName>
<Affiliation>Ph.D. Candidate, Strategic Management, Supreme National Defense University</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2014</Year>
					<Month>08</Month>
					<Day>12</Day>
				</PubDate>
			</History>
		<Abstract>Without any doubt, one of the strategies to achieve knowledge-based economy is the transfer of high technologies and turning them into a competitive stable advantage for companies. Technology Readiness Levels, as a determining factor for high-tech transfer, has not been taken into consideration in recent studies. In this paper the author seeks to identify and prioritize factors affecting the transfer of high-tech at various TRLs, on the basis of theoretical and research background and according to the T Sai Lai model. This study is applicable from aim point of view and is exploratory-integrated from method point of view. The statistical population in the qualitative section is among experts and in quantitative section is among entrepreneurs in high-tech companies. The statistical sample in qualitative section is among 10 people who are chosen by Snowball method and in quantitative section is among 100 people who are chosen by simple Random method. Data collecting tools are semi-structured interviews and researcher-made questionnaire in qualitative and quantitative sections respectively. Analysis of qualitative and quantitative data is done using Coding method and ANOVA and Friedman Tests, respectively. The research findings show that human factors most influence on the success of the transfer of advanced technologies in both phases of the formation and development of theoretical concepts and also prototyping and testing. Also, the industry factors most influence on the success of high-tech transfer in both commercial phase and entry-to-market phase. It is highly recommended for entrepreneurs and managers to consider the mentioned factors.</Abstract>
			<OtherAbstract Language="FA">Without any doubt, one of the strategies to achieve knowledge-based economy is the transfer of high technologies and turning them into a competitive stable advantage for companies. Technology Readiness Levels, as a determining factor for high-tech transfer, has not been taken into consideration in recent studies. In this paper the author seeks to identify and prioritize factors affecting the transfer of high-tech at various TRLs, on the basis of theoretical and research background and according to the T Sai Lai model. This study is applicable from aim point of view and is exploratory-integrated from method point of view. The statistical population in the qualitative section is among experts and in quantitative section is among entrepreneurs in high-tech companies. The statistical sample in qualitative section is among 10 people who are chosen by Snowball method and in quantitative section is among 100 people who are chosen by simple Random method. Data collecting tools are semi-structured interviews and researcher-made questionnaire in qualitative and quantitative sections respectively. Analysis of qualitative and quantitative data is done using Coding method and ANOVA and Friedman Tests, respectively. The research findings show that human factors most influence on the success of the transfer of advanced technologies in both phases of the formation and development of theoretical concepts and also prototyping and testing. Also, the industry factors most influence on the success of high-tech transfer in both commercial phase and entry-to-market phase. It is highly recommended for entrepreneurs and managers to consider the mentioned factors.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Technology transfer</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">High Technology</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Technology Readiness Levels</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jed.ut.ac.ir/article_53624_e4523166091cc2a5ed2949985c2a5ca0.pdf</ArchiveCopySource>
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