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How third party online reviews influ...

University of Massachusetts Boston.

How third party online reviews influence automobile sales.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	How third party online reviews influence automobile sales./
作者:	Bahety, Poorvi.
面頁冊數:	1 online resource (61 pages)
附註:	Source: Masters Abstracts International, Volume: 55-05.
標題:	Information technology. -
電子資源:	click for full text (PQDT)
ISBN:	9781339797304

How third party online reviews influence automobile sales.
Bahety, Poorvi.

How third party online reviews influence automobile sales. - 1 online resource (61 pages)

Source: Masters Abstracts International, Volume: 55-05.

Thesis (M.S.)--University of Massachusetts Boston, 2016.

Includes bibliographical references

This paper evaluates the possibility to use the reviews generated on social media, the exceedingly opulent source of information, to predict how it impacts the financial performance of the automobile industry. The reliable source for such chatter is the social media platform like Twitter and Facebook, third party websites, Kelly blue book, and Edmunds. From a theoretical perspective, social media platform offers diverse and independent information, which can be linked to the sales and balance sheet of an automobile. For the scope of this study, we focus on the 4 sedans , which have had recalls from January 2012 -- April 2015.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781339797304Subjects--Topical Terms:

559429
Information technology.
Index Terms--Genre/Form:

554714
Electronic books.

How third party online reviews influence automobile sales.
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245 1 0 $a How third party online reviews influence automobile sales.
264 0 $c 2016
300 $a 1 online resource (61 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
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500 $a Source: Masters Abstracts International, Volume: 55-05.
500 $a Adviser: Jurui Zhang.
502 $a Thesis (M.S.)--University of Massachusetts Boston, 2016.
504 $a Includes bibliographical references
520 $a This paper evaluates the possibility to use the reviews generated on social media, the exceedingly opulent source of information, to predict how it impacts the financial performance of the automobile industry. The reliable source for such chatter is the social media platform like Twitter and Facebook, third party websites, Kelly blue book, and Edmunds. From a theoretical perspective, social media platform offers diverse and independent information, which can be linked to the sales and balance sheet of an automobile. For the scope of this study, we focus on the 4 sedans , which have had recalls from January 2012 -- April 2015.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Information technology. $3 559429
650 4 $a Management. $3 558618
650 4 $a Marketing. $3 557931
650 4 $a Web studies. $3 1148502
655 7 $a Electronic books. $2 local $3 554714
690 $a 0489
690 $a 0454
690 $a 0338
690 $a 0646
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Massachusetts Boston. $b Information Technology. $3 1185295
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10118399 $z click for full text (PQDT)

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