<?xml version="1.0" encoding="UTF-8"?>
<article article-type="research-article" xml:lang="en-US" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">global-journal-of-management-and-business-research-a-administration-management</journal-id>
<journal-title-group>
<journal-title>Global Journal of Management and Business Research - A: Administration &amp; Management</journal-title>
</journal-title-group>
<issn publication-format="print">0975-5853</issn>
<issn publication-format="electronic">2249-4588</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
<self-uri xlink:href="https://globaljournals.org/journal-seo-export/jats/115828.xml" />
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">115828</article-id>
<title-group>
<article-title>The Effect of Social Networks and Google on Consumers&#039; Buying Behavior in Dhaka City, Bangladesh</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Jafar</surname><given-names>Md. Abu</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
<contrib contrib-type="author"><name><surname>Islam</surname><given-names>Md. Aminul</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Khan</surname><given-names>Arifur Rahman</given-names></name></contrib>
</contrib-group>
<aff id="aff1">BANGLADESH, Green University of Bangladesh</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2017-01-15">
<day>15</day>
<month>01</month>
<year>2017</year>
</pub-date>
<volume>17</volume>
<issue>A6</issue>
<abstract><p>Social network is a buzzword which contributes in increasing number of customers and consumers thus companies are getting huge response from the market. Comparing with the traditional business, modern business is booming too fast but in some cases they can’t sustain for the longer period of time because competitors are not limited to the local areas only so do the consumers. Once a customer moves from one site to another site, it is difficult to back him/her to the previous track. In the analysis, Principal Axis Factoring has been used for variation explained and Principal Components Factoring for rotated component matrix. To justify the appropriateness of the study we run KMO and Bartlett&#039;s Test. Result showed that, positive word of mouth, branding, search engine category, product customization, interaction with the customers, effective SEO, trust play significant roles in this case. In fact, this paper aims at identifying the effect of Social Networks (SNs) and Google on the buying behavior of the consumers.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>social networks</kwd>
<kwd>google</kwd>
<kwd>consumer</kwd>
<kwd>buying behavior</kwd>
<kwd>dhaka city</kwd>
<kwd>bangladesh</kwd>
</kwd-group>
<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJMBR_Volume17/5-The-Effect-of-Social-Networks.pdf" />
<self-uri content-type="html" xlink:href="https://globaljournals.org/scholarly-articles/the-effect-of-social-networks-and-google-on-consumers-buying-behavior-in-dhaka-city-bangladesh/" />
</article-meta>
</front>
<body>
<sec>
<title>Full Text</title>
<p>Social network is a buzzword which contributes in increasing number of customers and consumers thus companies are getting huge response from the market. Comparing with the traditional business, modern business is booming too fast but in some cases they can’t sustain for the longer period of time because competitors are not limited to the local areas only so do the consumers. Once a customer moves from one site to another site, it is difficult to back him/her to the previous track. In the analysis, Principal Axis Factoring has been used for variation explained and Principal Components Factoring for rotated component matrix. To justify the appropriateness of the study we run KMO and Bartlett&#039;s Test. Result showed that, positive word of mouth, branding, search engine category, product customization, interaction with the customers, effective SEO, trust play significant roles in this case. In fact, this paper aims at identifying the effect of Social Networks (SNs) and Google on the buying behavior of the consumers.</p>
</sec>
</body>
</article>