Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Modeling Mass Collaboration Networks...
~
Senghore, Fatima S.
Linked to FindBook
Google Book
Amazon
博客來
Modeling Mass Collaboration Networks to Investigate Innovation Drivers and Manage Innovation Potential.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Modeling Mass Collaboration Networks to Investigate Innovation Drivers and Manage Innovation Potential./
Author:
Senghore, Fatima S.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:
121 p.
Notes:
Source: Dissertation Abstracts International, Volume: 77-05(E), Section: B.
Contained By:
Dissertation Abstracts International77-05B(E).
Subject:
Systems science. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3745400
ISBN:
9781339383354
Modeling Mass Collaboration Networks to Investigate Innovation Drivers and Manage Innovation Potential.
Senghore, Fatima S.
Modeling Mass Collaboration Networks to Investigate Innovation Drivers and Manage Innovation Potential.
- Ann Arbor : ProQuest Dissertations & Theses, 2016 - 121 p.
Source: Dissertation Abstracts International, Volume: 77-05(E), Section: B.
Thesis (Ph.D.)--The George Washington University, 2016.
There is a paucity of research that empirically substantiates the theories presented in innovation driver literature to real-world user innovation networks. Trending hackathon-style mass collaboration events provide a microcosm in which to observe innovation as it happens. NASA's International Space Apps Challenge is a hackathon-style mass collaboration event and our innovation network of study. We model the user innovation networks of NASA's International Space Apps Challenges and use social network analysis to empirically investigate the existence and impact of three innovation drivers to innovation potential. The three innovation drivers investigated are competition, social interaction, and network vitality. We empirically prove the innovation driver of competitive intensity exists in our networks and is an indicator of innovation success while the innovation drivers of social interaction intensity and network vitality are not.
ISBN: 9781339383354Subjects--Topical Terms:
3168411
Systems science.
Modeling Mass Collaboration Networks to Investigate Innovation Drivers and Manage Innovation Potential.
LDR
:01927nmm a2200313 4500
001
2117771
005
20170530090545.5
008
180830s2016 ||||||||||||||||| ||eng d
020
$a
9781339383354
035
$a
(MiAaPQ)AAI3745400
035
$a
AAI3745400
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Senghore, Fatima S.
$3
3279568
245
1 0
$a
Modeling Mass Collaboration Networks to Investigate Innovation Drivers and Manage Innovation Potential.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2016
300
$a
121 p.
500
$a
Source: Dissertation Abstracts International, Volume: 77-05(E), Section: B.
500
$a
Adviser: James Wasek.
502
$a
Thesis (Ph.D.)--The George Washington University, 2016.
520
$a
There is a paucity of research that empirically substantiates the theories presented in innovation driver literature to real-world user innovation networks. Trending hackathon-style mass collaboration events provide a microcosm in which to observe innovation as it happens. NASA's International Space Apps Challenge is a hackathon-style mass collaboration event and our innovation network of study. We model the user innovation networks of NASA's International Space Apps Challenges and use social network analysis to empirically investigate the existence and impact of three innovation drivers to innovation potential. The three innovation drivers investigated are competition, social interaction, and network vitality. We empirically prove the innovation driver of competitive intensity exists in our networks and is an indicator of innovation success while the innovation drivers of social interaction intensity and network vitality are not.
590
$a
School code: 0075.
650
4
$a
Systems science.
$3
3168411
650
4
$a
Industrial engineering.
$3
526216
650
4
$a
Management.
$3
516664
650
4
$a
Social structure.
$3
528995
690
$a
0790
690
$a
0546
690
$a
0454
690
$a
0700
710
2
$a
The George Washington University.
$b
Engineering Mgt and Systems Engineering.
$3
1028210
773
0
$t
Dissertation Abstracts International
$g
77-05B(E).
790
$a
0075
791
$a
Ph.D.
792
$a
2016
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3745400
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9328389
電子資源
01.外借(書)_YB
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login