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Application of Bayesian networks in ...

Gao, Yuan.

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Application of Bayesian networks in consumer service industry.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Application of Bayesian networks in consumer service industry./
Author:	Gao, Yuan.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2014,
Description:	171 p.
Notes:	Source: Masters Abstracts International, Volume: 54-03.
Contained By:	Masters Abstracts International54-03(E).
Subject:	Industrial engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1584899
ISBN:	9781321602173

Application of Bayesian networks in consumer service industry.
Gao, Yuan.

Application of Bayesian networks in consumer service industry. - Ann Arbor : ProQuest Dissertations & Theses, 2014 - 171 p.

Source: Masters Abstracts International, Volume: 54-03.

Thesis (M.S.I.E.)--Purdue University, 2014.

Gao, Yuan. M.S.I.E., Purdue University. December 2014. Application of Bayesian Networks in Consumer Service Industry. Major professor: Vincent G. Duffy.

ISBN: 9781321602173Subjects--Topical Terms:

526216
Industrial engineering.

Application of Bayesian networks in consumer service industry.
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020 $a 9781321602173
035 $a (MiAaPQ)AAI1584899
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100 1 $a Gao, Yuan. $3 1244884
245 1 0 $a Application of Bayesian networks in consumer service industry.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2014
300 $a 171 p.
500 $a Source: Masters Abstracts International, Volume: 54-03.
500 $a Adviser: Vincent G. Duffy.
502 $a Thesis (M.S.I.E.)--Purdue University, 2014.
520 $a Gao, Yuan. M.S.I.E., Purdue University. December 2014. Application of Bayesian Networks in Consumer Service Industry. Major professor: Vincent G. Duffy.
520 $a The purpose of the present study is to explore the application of Bayesian networks in the consumer service industry to model causal relationships within complex risk factor structures using aggregate data. An analysis of the Hawaii tourism market was conducted to find out how visitor characteristics affect their behavior and experience as consumers during the trips, and influence the tourism market outcomes represented by measurable factors. Two hypotheses were proposed regarding the use of aggregate data and the influence of visitor origin, and were verified through the analysis. The source data came from the Hawaii Tourism Authority's official website, including monthly tourists highlight reports over a period of 36 months. The analysis verified the hypotheses that visitor origin, as a symbol of cultural background, plays an important role in their behavior, preferences, decisions and experience in consuming. The results were validated both statistically and against literature and expert opinion. In the increasingly segmented tourism market, such findings can help tourism service providers improve consumer satisfaction and loyalty with assistance in policy-making, investment decision-making, resource planning, and strategic marketing.
590 $a School code: 0183.
650 4 $a Industrial engineering. $3 526216
650 4 $a Operations research. $3 547123
650 4 $a Recreation. $3 535376
650 4 $a Statistics. $3 517247
690 $a 0546
690 $a 0796
690 $a 0814
690 $a 0463
710 2 $a Purdue University. $b Industrial Engineering. $3 1035836
773 0 $t Masters Abstracts International $g 54-03(E).
790 $a 0183
791 $a M.S.I.E.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1584899