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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Sharif University of Technology (Sharif Policy Research Institute)</PublisherName>
				<JournalTitle>Science and Technology Policy Letters</JournalTitle>
				<Issn>2476-7220</Issn>
				<Volume>04</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>04</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Lead article</ArticleTitle>
<VernacularTitle>Lead article</VernacularTitle>
			<FirstPage>3</FirstPage>
			<LastPage>6</LastPage>
			<ELocationID EIdType="pii">1189</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Ebrahim</FirstName>
					<LastName>Souzanchi Kashani</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>08</Month>
					<Day>10</Day>
				</PubDate>
			</History>
		<Abstract></Abstract>
			<OtherAbstract Language="FA"></OtherAbstract>
<ArchiveCopySource DocType="pdf">https://stpl.ristip.sharif.ir/article_1189_6e524f2c6e92460c222b96a1746cd471.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Sharif University of Technology (Sharif Policy Research Institute)</PublisherName>
				<JournalTitle>Science and Technology Policy Letters</JournalTitle>
				<Issn>2476-7220</Issn>
				<Volume>04</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>04</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Technological revolutions and techno-economic paradigms</ArticleTitle>
<VernacularTitle>Technological revolutions and techno-economic paradigms</VernacularTitle>
			<FirstPage>7</FirstPage>
			<LastPage>26</LastPage>
			<ELocationID EIdType="pii">1190</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Parisa</FirstName>
					<LastName>Alizadeh</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>08</Month>
					<Day>10</Day>
				</PubDate>
			</History>
		<Abstract>This paper locates the notion of technological revolutions in the neo-Schumpeterianeffort to understand innovation and to identify the regularities, continuities anddiscontinuities in the process of innovation. It looks at the microand mesofoundationsof the patterns observed in the evolution of technical change and at  theinterrelations with the context that shape the rhythm and direction of innovation. Onthis basis it defines technological revolutions, examines their structure and the rolethat they play in rejuvenating the whole economy through the application of theaccompanying techno-economic paradigm. This over-arching metaparadigm orshared best practice ‘common sense’ is in turn defined and analyzed in itscomponents and its impact, including its influence on institutional and socialchange.</Abstract>
			<OtherAbstract Language="FA">This paper locates the notion of technological revolutions in the neo-Schumpeterianeffort to understand innovation and to identify the regularities, continuities anddiscontinuities in the process of innovation. It looks at the microand mesofoundationsof the patterns observed in the evolution of technical change and at  theinterrelations with the context that shape the rhythm and direction of innovation. Onthis basis it defines technological revolutions, examines their structure and the rolethat they play in rejuvenating the whole economy through the application of theaccompanying techno-economic paradigm. This over-arching metaparadigm orshared best practice ‘common sense’ is in turn defined and analyzed in itscomponents and its impact, including its influence on institutional and socialchange.</OtherAbstract>
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			<Object Type="keyword">
			<Param Name="value">Technological change</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Technological revolutions</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Techno-economic paradigms</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">innovation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Neo-Schumpeterian and evolutionary economics</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://stpl.ristip.sharif.ir/article_1190_6da82d90e8ac15297f789610fdadeea3.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Sharif University of Technology (Sharif Policy Research Institute)</PublisherName>
				<JournalTitle>Science and Technology Policy Letters</JournalTitle>
				<Issn>2476-7220</Issn>
				<Volume>04</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>04</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The evolution of evaluation models: from Frascati manual to innovation surveys</ArticleTitle>
<VernacularTitle>The evolution of evaluation models: from Frascati manual to innovation surveys</VernacularTitle>
			<FirstPage>27</FirstPage>
			<LastPage>46</LastPage>
			<ELocationID EIdType="pii">1191</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Babaee</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Ebrahim</FirstName>
					<LastName>Souzanchi</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>08</Month>
					<Day>10</Day>
				</PubDate>
			</History>
		<Abstract>Models and indicators which are based on ‘Research and Development’, ‘patent’, and ‘bibliometrics’ could be considered as the oldest, best known and most widely used models and indicators among policy makers in most of the countries. Among these models and indicators, the most famous one is the Frascati manual. These R&amp;D and patent based models (especially the Frascati manual) are mainly extracted from so-called  ‘linear Science-Push’ theories. However, these linear theories have been criticized for three decades, seriously  by well-known science, technology, and innovation scholars such as Richard Nelson, Nathan Rosenberg, and Chris Freeman. The achievement of these criticisms isthat in the two recent decades we could see the rising of  alternative models and indicators,above of which the surveys entitled‘Innovation Surveys’. The main aim of  this article is to review these emerging models more closely.In this article, first of all we will take a brief look at the history of science, technology, and innovation studies, especially the rise of major criticisms on thelinear science-push theories. After that it will be reviewedthat how the innovation surveys stood against the inefficiencies of science-push models. Then we will take a look at different types of innovation surveys, especially ‘Community Innovation Survey (CIS)’ which is the most widely accepted and standardized version of innovation surveys. Finally we will show in brief the considerable extent that these surveys are accepted and welcomed by academic community.Due to the widespread use of innovation surveys in many countries, there is an increasingly necessity to pay more attention to these surveys in our country Iran, especially as a basis  for policy making.</Abstract>
			<OtherAbstract Language="FA">Models and indicators which are based on ‘Research and Development’, ‘patent’, and ‘bibliometrics’ could be considered as the oldest, best known and most widely used models and indicators among policy makers in most of the countries. Among these models and indicators, the most famous one is the Frascati manual. These R&amp;D and patent based models (especially the Frascati manual) are mainly extracted from so-called  ‘linear Science-Push’ theories. However, these linear theories have been criticized for three decades, seriously  by well-known science, technology, and innovation scholars such as Richard Nelson, Nathan Rosenberg, and Chris Freeman. The achievement of these criticisms isthat in the two recent decades we could see the rising of  alternative models and indicators,above of which the surveys entitled‘Innovation Surveys’. The main aim of  this article is to review these emerging models more closely.In this article, first of all we will take a brief look at the history of science, technology, and innovation studies, especially the rise of major criticisms on thelinear science-push theories. After that it will be reviewedthat how the innovation surveys stood against the inefficiencies of science-push models. Then we will take a look at different types of innovation surveys, especially ‘Community Innovation Survey (CIS)’ which is the most widely accepted and standardized version of innovation surveys. Finally we will show in brief the considerable extent that these surveys are accepted and welcomed by academic community.Due to the widespread use of innovation surveys in many countries, there is an increasingly necessity to pay more attention to these surveys in our country Iran, especially as a basis  for policy making.</OtherAbstract>
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			<Object Type="keyword">
			<Param Name="value">Frascati Manual</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Science-Push</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Research and Development (R&amp;D)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Innovation Survey</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Community Innovation Survey (CIS)</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://stpl.ristip.sharif.ir/article_1191_f00d857e7c0822e22fa0f79387531508.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Sharif University of Technology (Sharif Policy Research Institute)</PublisherName>
				<JournalTitle>Science and Technology Policy Letters</JournalTitle>
				<Issn>2476-7220</Issn>
				<Volume>04</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>04</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Indicators and models for measuring researchers’ scientific productivity</ArticleTitle>
<VernacularTitle>Indicators and models for measuring researchers’ scientific productivity</VernacularTitle>
			<FirstPage>47</FirstPage>
			<LastPage>62</LastPage>
			<ELocationID EIdType="pii">1192</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Hajar</FirstName>
					<LastName>Sotudeh</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Maryam</FirstName>
					<LastName>Yaghtin</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>08</Month>
					<Day>10</Day>
				</PubDate>
			</History>
		<Abstract>The global increase in scientific production gave rise to a criticalneed for methods and tools formeasuring the scientific productivity of researchers, as accurately and objectively as possible, to ensure the quality of their scientific performance. There is several indicators and models proposed by scientometricians, each of them is&lt;br /&gt;reflecting just a partial image of the scientific productivity. The indicators and models derived from thequantity of scientific papers published in prestigious journals are the most objective and accessible tools ever devised to measure the scientific productivity. However, they, alone, cannot completely reflect scientific productivity. Such indicators as publication rate and publication speed, which take time or publication frequencies into account, can be employed to get a more accurate image. Thispaperattempts to present and discuss some of the most important indicators and models proposed for measuring researchers’ scientific productivity.</Abstract>
			<OtherAbstract Language="FA">The global increase in scientific production gave rise to a criticalneed for methods and tools formeasuring the scientific productivity of researchers, as accurately and objectively as possible, to ensure the quality of their scientific performance. There is several indicators and models proposed by scientometricians, each of them is&lt;br /&gt;reflecting just a partial image of the scientific productivity. The indicators and models derived from thequantity of scientific papers published in prestigious journals are the most objective and accessible tools ever devised to measure the scientific productivity. However, they, alone, cannot completely reflect scientific productivity. Such indicators as publication rate and publication speed, which take time or publication frequencies into account, can be employed to get a more accurate image. Thispaperattempts to present and discuss some of the most important indicators and models proposed for measuring researchers’ scientific productivity.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Scientific productivity</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Indicators</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">models</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://stpl.ristip.sharif.ir/article_1192_4390c216227f6054bcb72fd308e39ae7.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Sharif University of Technology (Sharif Policy Research Institute)</PublisherName>
				<JournalTitle>Science and Technology Policy Letters</JournalTitle>
				<Issn>2476-7220</Issn>
				<Volume>04</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>04</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>How has science journalism developed and grown in the national and international level?</ArticleTitle>
<VernacularTitle>How has science journalism developed and grown in the national and international level?</VernacularTitle>
			<FirstPage>63</FirstPage>
			<LastPage>78</LastPage>
			<ELocationID EIdType="pii">1193</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>AliAkbar</FirstName>
					<LastName>Asadi</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Tohidi</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>08</Month>
					<Day>10</Day>
				</PubDate>
			</History>
		<Abstract>The paper answers this question, with institutional approach and qualitative method, that how science journalism has developed and grown from the second half of the twentieth century. We can give an answer to the question: science journalists have established the national and international institutions in other to train, create incentive, support other journalists, connect them together and reinforce this occupation in the media. In the mid-twentieth century in developed countries, such as United States, Britain and France, these institutions were established in the form of science journalist associations. Also the international associations of science journalism were formed after the second half of sixties. The science journalists constituted World Federation of Science Journalists (WCSJ) for centralizing the development of their occupation in global level.WCSJis the latest specialist institution in science journalism and represents 40 national and international associations in 2002. Also it is already developing and growing activities.</Abstract>
			<OtherAbstract Language="FA">The paper answers this question, with institutional approach and qualitative method, that how science journalism has developed and grown from the second half of the twentieth century. We can give an answer to the question: science journalists have established the national and international institutions in other to train, create incentive, support other journalists, connect them together and reinforce this occupation in the media. In the mid-twentieth century in developed countries, such as United States, Britain and France, these institutions were established in the form of science journalist associations. Also the international associations of science journalism were formed after the second half of sixties. The science journalists constituted World Federation of Science Journalists (WCSJ) for centralizing the development of their occupation in global level.WCSJis the latest specialist institution in science journalism and represents 40 national and international associations in 2002. Also it is already developing and growing activities.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">science journalist</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">national and international associations</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">federation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://stpl.ristip.sharif.ir/article_1193_4f6aa052e0cb4153d37a226c6e414572.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Sharif University of Technology (Sharif Policy Research Institute)</PublisherName>
				<JournalTitle>Science and Technology Policy Letters</JournalTitle>
				<Issn>2476-7220</Issn>
				<Volume>04</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>04</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Recognizing the entrepreneurial intelligence developed in veteran entrepreneurs’ experiences</ArticleTitle>
<VernacularTitle>Recognizing the entrepreneurial intelligence developed in veteran entrepreneurs’ experiences</VernacularTitle>
			<FirstPage>79</FirstPage>
			<LastPage>92</LastPage>
			<ELocationID EIdType="pii">1194</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Ghanbar Mohammadi</FirstName>
					<LastName>Elyasi</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Nooshin</FirstName>
					<LastName>Dahim</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>08</Month>
					<Day>10</Day>
				</PubDate>
			</History>
		<Abstract>Exploring the opportunities in the knowledge and practices of entrepreneurs has a great importance. Entrepreneurial alertness is a critical and effective factor in discovering opportunities. Despite the undeniable importance of alertness in entrepreneurial activities, there is not any valuable research conducted on how to develop this human ability of entrepreneurs. Hence, this study aims to recognize the entrepreneurial alertness developing inveteran entrepreneurs. This study is using the narrative research method and technique derived from deep and meaningful interviews with 10 entrepreneurs in the food industry. It results that there is seven major categories describing the development of entrepreneurial alertness were identified as follows: Acquisition and use experience, create and the social networks, acting in consultation and dialogue, field visit, study the documents, create the relation and communicate with the markets andbenchmarking of leading foreign and domestic companies. </Abstract>
			<OtherAbstract Language="FA">Exploring the opportunities in the knowledge and practices of entrepreneurs has a great importance. Entrepreneurial alertness is a critical and effective factor in discovering opportunities. Despite the undeniable importance of alertness in entrepreneurial activities, there is not any valuable research conducted on how to develop this human ability of entrepreneurs. Hence, this study aims to recognize the entrepreneurial alertness developing inveteran entrepreneurs. This study is using the narrative research method and technique derived from deep and meaningful interviews with 10 entrepreneurs in the food industry. It results that there is seven major categories describing the development of entrepreneurial alertness were identified as follows: Acquisition and use experience, create and the social networks, acting in consultation and dialogue, field visit, study the documents, create the relation and communicate with the markets andbenchmarking of leading foreign and domestic companies. </OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">entrepreneurial alertness</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Development of alertness</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">veteran entrepreneurs</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://stpl.ristip.sharif.ir/article_1194_5ecc7be387187494810f7dc94dc90468.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Sharif University of Technology (Sharif Policy Research Institute)</PublisherName>
				<JournalTitle>Science and Technology Policy Letters</JournalTitle>
				<Issn>2476-7220</Issn>
				<Volume>04</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>04</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Obstacles for International Academic Collaboration: Case Study of Members of Tehran University Scientific Board in Co-Authorship of ISI indexed papers</ArticleTitle>
<VernacularTitle>Obstacles for International Academic Collaboration: Case Study of Members of Tehran University Scientific Board in Co-Authorship of ISI indexed papers</VernacularTitle>
			<FirstPage>93</FirstPage>
			<LastPage>106</LastPage>
			<ELocationID EIdType="pii">1195</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Aref</FirstName>
					<LastName>Riahi</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Amin</FirstName>
					<LastName>Ghaneirad</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Elham</FirstName>
					<LastName>Ahmadi</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>08</Month>
					<Day>10</Day>
				</PubDate>
			</History>
		<Abstract>Objective: investigatingabout theobstacles forinternational academic collaboration and co-authorship from the point ofview of members ofTehran University scientific board. Research method: it is an applied research with a surveymethod byresearchermade questionnaire. The study population consists of 270 members of Tehran Universityacademic board. Reliability ofquestionnaire is assessed byCronbach&#039;s alpha coefficient for each variable separately; the results show its high reliability. Findings: the surveyshows that ‘political variable’ with mean of 3/53 is recognized as the most effective barrier to international academic collaboration. Cultural variable, in comparison with other elements, has had the lowest mean (2/21) and effectiveness. Findings, also, indicates a significant and negative correlation between individual’s international joint scientific products and three political, organizational and motivational variables. In other words,regarding these three variables, the lower number of co-authorship, the higher number of problems and barriers to researchers and vice versa.</Abstract>
			<OtherAbstract Language="FA">Objective: investigatingabout theobstacles forinternational academic collaboration and co-authorship from the point ofview of members ofTehran University scientific board. Research method: it is an applied research with a surveymethod byresearchermade questionnaire. The study population consists of 270 members of Tehran Universityacademic board. Reliability ofquestionnaire is assessed byCronbach&#039;s alpha coefficient for each variable separately; the results show its high reliability. Findings: the surveyshows that ‘political variable’ with mean of 3/53 is recognized as the most effective barrier to international academic collaboration. Cultural variable, in comparison with other elements, has had the lowest mean (2/21) and effectiveness. Findings, also, indicates a significant and negative correlation between individual’s international joint scientific products and three political, organizational and motivational variables. In other words,regarding these three variables, the lower number of co-authorship, the higher number of problems and barriers to researchers and vice versa.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">international academic collaboration</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">co-authorship</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">barriers to academic collaboration</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Tehran University</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">ISI database</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://stpl.ristip.sharif.ir/article_1195_0af47e590d9a4ed30179f762dd7d73ca.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
