<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Univrsity Of Tehran Press</PublisherName>
				<JournalTitle>Journal of Information Technology Management</JournalTitle>
				<Issn>2980-7972</Issn>
				<Volume>8</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>09</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The Investigation of E-Business Trends by Using Social Network Analysis Technique 
during 1980 to 2015</ArticleTitle>
<VernacularTitle>بررسی روند کسب‌و‌کار الکترونیکی با استفاده از تکنیک‌های تجزیه و تحلیل شبکه‌های اجتماعی در سال‌های 1980 تا 2015</VernacularTitle>
			<FirstPage>499</FirstPage>
			<LastPage>518</LastPage>
			<ELocationID EIdType="pii">57369</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jitm.2016.57369</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Seyed Mohammad Jafar</FirstName>
					<LastName>Jalali</LastName>
<Affiliation>MSc.  Faculty of Management and Accounting, University of Tehran, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Elahe</FirstName>
					<LastName>Mahizadeh</LastName>
<Affiliation>MSc.  Faculty of Management and Accounting, University of Tehran, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>01</Month>
					<Day>06</Day>
				</PubDate>
			</History>
		<Abstract>In today’s world, the global nature of business and advances in information and communication technology, forced organizations to use emerging technologies to maintain themselves competitive. In recent years, electronic business (e-learning) has been adopted by many organizations. Thereby companies can improve their operational efficiency, profitability and competitive position. This research tried by using burst detection algorithm in scientometrics, to examine all keywords, titles, premier authors, universities, countries as well as co-authors network in the field of e-business . Hence, all relevant articles in the Web of Science database - as a reference for this study- during 1980 to 2015 have been investigated. In this regard, 4697 articles extracted and burst detection algorithm was used to analyze</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Bibliometrics</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Burst Detection Algorithm</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">E-business</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Scientometrics</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jitm.ut.ac.ir/article_57369_2d21d3e5409f926ff3ec2917942efac5.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
