國立虎尾科技大學 |

Digital User's Decision Journey.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Digital User's Decision Journey./
作者:	Song, Yicheng.
面頁冊數:	1 online resource (245 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-03(E), Section: A.
Contained By:	Dissertation Abstracts International79-03A(E).
標題:	Management. -
電子資源:	click for full text (PQDT)
ISBN:	9780355433517

Digital User's Decision Journey.
Song, Yicheng.

Digital User's Decision Journey. - 1 online resource (245 pages)

Source: Dissertation Abstracts International, Volume: 79-03(E), Section: A.

Thesis (Ph.D.)

Includes bibliographical references

The landscape of the Internet is continually evolving. This creates huge opportunities for different industries to optimize vital channels online, resulting in various-forms of new Internet services. As a result, digital users are interacting with many digital systems and they are exhibiting dynamic behaviors. Their shopping behaviors are drastically different today than it used to be, with offline and online shopping interacting with each other. They have many channels to access online media but their consumption patterns on different channels are quite different. They do philanthropy online to help others but their heterogeneous motivations and different fundraising campaigns leads to distinct path-to-contribution. Understanding the digital user's decision making process behind their dynamic behaviors is critical as they interact with various digital systems for the firms to improve user experience and improve their bottom line. In this thesis, I study digital users' decision journeys and the corresponding digital technology firms' strategies using inter-disciplinary approaches that combine econometrics, economic structural modeling and machine learning. The uncovered decision journey not only offer empirical managerial insights but also provide guideline for introducing intervention to better serve digital users.

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

Mode of access: World Wide Web

ISBN: 9780355433517Subjects--Topical Terms:

558618
Management.
Index Terms--Genre/Form:

554714
Electronic books.

Digital User's Decision Journey.
LDR:02568ntm a2200349Ki 4500 001 911132
005 20180517121920.5
006 m o u
007 cr mn||||a|a||
008 190606s2017 xx obm 000 0 eng d
020 $a 9780355433517
035 $a (MiAaPQ)AAI10636380
035 $a (MiAaPQ)bu:13408
035 $a AAI10636380
040 $a MiAaPQ $b eng $c MiAaPQ
099 $a TUL $f hyy $c available through World Wide Web
100 1 $a Song, Yicheng. $3 1182787
245 1 0 $a Digital User's Decision Journey.
264 0 $c 2017
300 $a 1 online resource (245 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 79-03(E), Section: A.
500 $a Adviser: Nachiketa Sahoo.
502 $a Thesis (Ph.D.) $c Boston University $d 2017.
504 $a Includes bibliographical references
520 $a The landscape of the Internet is continually evolving. This creates huge opportunities for different industries to optimize vital channels online, resulting in various-forms of new Internet services. As a result, digital users are interacting with many digital systems and they are exhibiting dynamic behaviors. Their shopping behaviors are drastically different today than it used to be, with offline and online shopping interacting with each other. They have many channels to access online media but their consumption patterns on different channels are quite different. They do philanthropy online to help others but their heterogeneous motivations and different fundraising campaigns leads to distinct path-to-contribution. Understanding the digital user's decision making process behind their dynamic behaviors is critical as they interact with various digital systems for the firms to improve user experience and improve their bottom line. In this thesis, I study digital users' decision journeys and the corresponding digital technology firms' strategies using inter-disciplinary approaches that combine econometrics, economic structural modeling and machine learning. The uncovered decision journey not only offer empirical managerial insights but also provide guideline for introducing intervention to better serve digital users.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Management. $3 558618
650 4 $a Web studies. $3 1148502
655 7 $a Electronic books. $2 local $3 554714
690 $a 0454
690 $a 0646
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Boston University. $b Management QSB. $3 1181696
773 0 $t Dissertation Abstracts International $g 79-03A(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10636380 $z click for full text (PQDT)