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 到查詢結果 [ null ]

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Essays on the Use of A/B Testing among e-Commerce Practitioners.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Essays on the Use of A/B Testing among e-Commerce Practitioners./
作者:	Miller, Alex.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:	175 p.
附註:	Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
Contained By:	Dissertations Abstracts International84-01B.
標題:	Information technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29168580
ISBN:	9798834098072

Essays on the Use of A/B Testing among e-Commerce Practitioners.
Miller, Alex.

Essays on the Use of A/B Testing among e-Commerce Practitioners. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 175 p.

Source: Dissertations Abstracts International, Volume: 84-01, Section: B.

Thesis (Ph.D.)--University of Pennsylvania, 2022.

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

Randomized experiments-often called A/B tests in industrial settings-are an increasingly important element in the management of many organizations. While some firms have long had both the managerial and technical know-how to use experiments for making key decisions, new forms of software and internet infrastructure have dramatically lowered the cost of conducting A/B tests online, opening up the practice to an entirely new set of organizations. This dissertation studies the practice of A/B testing among this new wave of practitioners, characterized primarily as e-commerce businesses that have adopted new forms of low cost, easy to use, third-party experimentation software. The first two chapters of this document study A/B testing as its own distinct phenomena in digital business, answering questions about the prevalence of p-hacking among e-commerce practitioners and the nature of how firms use A/B testing software in the real world. The final chapter demonstrates how e-commerce firms can use A/B tests and recent developments in causal machine learning for improved customer targeting and price discrimination. As a whole, this work demonstrates the growing importance of A/B testing and causal reasoning as a key factor in the future of managerial decision making.

ISBN: 9798834098072Subjects--Topical Terms:

532993
Information technology.
Subjects--Index Terms:

A/B testing

Essays on the Use of A/B Testing among e-Commerce Practitioners.
LDR:02342nmm a2200337 4500 001 2351801
005 20221111101742.5
008 241004s2022 ||||||||||||||||| ||eng d
020 $a 9798834098072
035 $a (MiAaPQ)AAI29168580
035 $a AAI29168580
040 $a MiAaPQ $c MiAaPQ
100 1 $a Miller, Alex. $3 591109
245 1 0 $a Essays on the Use of A/B Testing among e-Commerce Practitioners.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2022
300 $a 175 p.
500 $a Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
500 $a Advisor: Hosanagar, Kartik.
502 $a Thesis (Ph.D.)--University of Pennsylvania, 2022.
506 $a This item must not be sold to any third party vendors.
520 $a Randomized experiments-often called A/B tests in industrial settings-are an increasingly important element in the management of many organizations. While some firms have long had both the managerial and technical know-how to use experiments for making key decisions, new forms of software and internet infrastructure have dramatically lowered the cost of conducting A/B tests online, opening up the practice to an entirely new set of organizations. This dissertation studies the practice of A/B testing among this new wave of practitioners, characterized primarily as e-commerce businesses that have adopted new forms of low cost, easy to use, third-party experimentation software. The first two chapters of this document study A/B testing as its own distinct phenomena in digital business, answering questions about the prevalence of p-hacking among e-commerce practitioners and the nature of how firms use A/B testing software in the real world. The final chapter demonstrates how e-commerce firms can use A/B tests and recent developments in causal machine learning for improved customer targeting and price discrimination. As a whole, this work demonstrates the growing importance of A/B testing and causal reasoning as a key factor in the future of managerial decision making.
590 $a School code: 0175.
650 4 $a Information technology. $3 532993
650 4 $a Business administration. $3 3168311
653 $a A/B testing
653 $a e-commerce practitioners
690 $a 0489
690 $a 0310
690 $a 0338
710 2 $a University of Pennsylvania. $b Operations, Information and Decisions. $3 3691378
773 0 $t Dissertations Abstracts International $g 84-01B.
790 $a 0175
791 $a Ph.D.
792 $a 2022
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29168580