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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Shahid Beheshti University</PublisherName>
				<JournalTitle>Journal of Industrial Management Perspective</JournalTitle>
				<Issn>2251-9874</Issn>
				<Volume>2</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2012</Year>
					<Month>11</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Identifying the key Success Factors in Performing Value Engineering</ArticleTitle>
<VernacularTitle>Identifying the key Success Factors in Performing Value Engineering</VernacularTitle>
			<FirstPage>9</FirstPage>
			<LastPage>27</LastPage>
			<ELocationID EIdType="pii">87334</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Davood</FirstName>
					<LastName>Talebi</LastName>
<Affiliation>Assistant Professor, Shahid Beheshti University.</Affiliation>
<Identifier Source="ORCID">0009-0001-1836-7658</Identifier>

</Author>
<Author>
					<FirstName>Behrang</FirstName>
					<LastName>Khosro Nobarai</LastName>
<Affiliation>M.A, Shahid Beheshti University.</Affiliation>

</Author>
<Author>
					<FirstName>Mina</FirstName>
					<LastName>Fadavi Ardestan</LastName>
<Affiliation>M.A, Shahid Beheshti University.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>09</Month>
					<Day>29</Day>
				</PubDate>
			</History>
		<Abstract>The purpose of this research is to identify the essential success factors in performing &quot;Value Engineering&quot; in Iran. Maurer and Posetas models were used as the basis for success factors identification. These two models have identified 34 variables as effective factors in performing the value engineering Study. Statistical populations of this research were 37 productive and service organizations of Tehran province And statistical samples were, 250 persons who were connected to the subject of value engineering study. Questionnaires-based data were applied for analysis. Statistical method of Binomial test and Factor analysis were applied. 8 key factors from 3 main groups among 34 variable drived from the value engineering methods were used to analysie today conditions of productive and service organization of Tehran province were identified.</Abstract>
			<OtherAbstract Language="FA">The purpose of this research is to identify the essential success factors in performing &quot;Value Engineering&quot; in Iran. Maurer and Posetas models were used as the basis for success factors identification. These two models have identified 34 variables as effective factors in performing the value engineering Study. Statistical populations of this research were 37 productive and service organizations of Tehran province And statistical samples were, 250 persons who were connected to the subject of value engineering study. Questionnaires-based data were applied for analysis. Statistical method of Binomial test and Factor analysis were applied. 8 key factors from 3 main groups among 34 variable drived from the value engineering methods were used to analysie today conditions of productive and service organization of Tehran province were identified.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Value engineering</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Success factors</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Factor analysis</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jimp.sbu.ac.ir/article_87334_eeb62262a7d5007a35703d1363dab2de.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
