東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Prior Information and Consumer Searc...

Zhang, Qianyun Poppy.

FindBook

Google Book

Amazon

博客來

Prior Information and Consumer Search: Evidence from Eye-Tracking.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Prior Information and Consumer Search: Evidence from Eye-Tracking./
作者:	Zhang, Qianyun Poppy.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	45 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-08, Section: A.
Contained By:	Dissertations Abstracts International82-08A.
標題:	Business administration. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28157899
ISBN:	9798569965076

Prior Information and Consumer Search: Evidence from Eye-Tracking.
Zhang, Qianyun Poppy.

Prior Information and Consumer Search: Evidence from Eye-Tracking. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 45 p.

Source: Dissertations Abstracts International, Volume: 82-08, Section: A.

Thesis (Ph.D.)--New York University, 2021.

This item must not be sold to any third party vendors.

Our objective in this paper is to quantify the impact of prior information (e.g. that obtained from past purchases or uses of a product) on consumer search and purchase decisions. To this end, we develop a model of sequential search where consumers with heterogeneous prior beliefs about brand match values choose whether to search for additional information on the available brands and their features. This additional information, though costly, allows consumers to update their beliefs in a Bayesian fashion and to make more informed choices. We estimate the model on a data set of consumers making smartphone search and purchase decisions. Our data set has two novel features: (i) it contains information on consumers' prior ownership of, familiarity, and experience with brands; and (ii) it captures search behavior at the very granular level of eye-movements. Preliminary evidence from our data demonstrates the importance of prior information: consumers are more likely to search and buy brands they own and are familiar with. Using these data and our model, we then quantify the impact of prior information, in addition to consumer preferences and search costs, on consumer choices, as well as document the estimation bias arising from omitting prior information from the model. Finally, through a series of counterfactuals, we explore the managerial value of using consumers' prior information to construct personalized ranking-based recommendation systems.

ISBN: 9798569965076Subjects--Topical Terms:

3168311
Business administration.
Subjects--Index Terms:

Bayesian learning

Prior Information and Consumer Search: Evidence from Eye-Tracking.
LDR:02771nmm a2200433 4500 001 2284270
005 20211115072421.5
008 220723s2021 ||||||||||||||||| ||eng d
020 $a 9798569965076
035 $a (MiAaPQ)AAI28157899
035 $a AAI28157899
040 $a MiAaPQ $c MiAaPQ
100 1 $a Zhang, Qianyun Poppy. $3 3563427
245 1 0 $a Prior Information and Consumer Search: Evidence from Eye-Tracking.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 45 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-08, Section: A.
500 $a Advisor: Erdem, Tulin;Ursu, Raluca.
502 $a Thesis (Ph.D.)--New York University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Our objective in this paper is to quantify the impact of prior information (e.g. that obtained from past purchases or uses of a product) on consumer search and purchase decisions. To this end, we develop a model of sequential search where consumers with heterogeneous prior beliefs about brand match values choose whether to search for additional information on the available brands and their features. This additional information, though costly, allows consumers to update their beliefs in a Bayesian fashion and to make more informed choices. We estimate the model on a data set of consumers making smartphone search and purchase decisions. Our data set has two novel features: (i) it contains information on consumers' prior ownership of, familiarity, and experience with brands; and (ii) it captures search behavior at the very granular level of eye-movements. Preliminary evidence from our data demonstrates the importance of prior information: consumers are more likely to search and buy brands they own and are familiar with. Using these data and our model, we then quantify the impact of prior information, in addition to consumer preferences and search costs, on consumer choices, as well as document the estimation bias arising from omitting prior information from the model. Finally, through a series of counterfactuals, we explore the managerial value of using consumers' prior information to construct personalized ranking-based recommendation systems.
590 $a School code: 0146.
650 4 $a Business administration. $3 3168311
650 4 $a Information science. $3 554358
650 4 $a Social research. $3 2122687
653 $a Bayesian learning
653 $a Consumer search
653 $a Eye-tracking
653 $a Purchase decisions
653 $a Informed choices
653 $a Experience with brands
653 $a Brand familiarity
653 $a Counterfactuals
690 $a 0338
690 $a 0310
690 $a 0344
690 $a 0454
690 $a 0723
710 2 $a New York University. $b Marketing. $3 3563428
773 0 $t Dissertations Abstracts International $g 82-08A.
790 $a 0146
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28157899