Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Artificial Intelligence in Mid-Sized...
~
Chappell, Michael Wayne.
Artificial Intelligence in Mid-Sized Companies and the Problems with Resources and Implementation.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Artificial Intelligence in Mid-Sized Companies and the Problems with Resources and Implementation.
Author:
Chappell, Michael Wayne.
Published:
Ann Arbor : ProQuest Dissertations & Theses, 2020
Description:
109 p.
Notes:
Source: Dissertations Abstracts International, Volume: 82-06, Section: B.
Notes:
Advisor: Steiner, Patricia;Davis, Robert.
Contained By:
Dissertations Abstracts International82-06B.
Subject:
Information technology.
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28255534
ISBN:
9798698543350
Artificial Intelligence in Mid-Sized Companies and the Problems with Resources and Implementation.
Chappell, Michael Wayne.
Artificial Intelligence in Mid-Sized Companies and the Problems with Resources and Implementation.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 109 p.
Source: Dissertations Abstracts International, Volume: 82-06, Section: B.
Thesis (D.B.A.)--Northcentral University, 2020.
This item must not be sold to any third party vendors.
Mid-sized companies require capabilities and new technologies that may be out of their reach in the way of pricing and talent acquisition. Artificial Intelligence (AI) is one such technology that larger corporations are taking advantage of in order to gain competitive advantage. The purpose of this study is to look at AI from the aspect of Business Intelligence (BI) and through the lens of Resource-based View (RBV) to ascertain the impact that AI is having on companies. A new model for the implementation of AI into everyday business activities is presented which is supported by data collection from mid-sized companies throughout the eastern United States. The data is analyzed, and the results presented. Results showed that mid-sized and small companies in the sample are looking at AI but not implementing the technology due to cost and the lack of internal expertise. The study is examined for short comings and a path for future work is outlined, which includes increasing the population and determining financial impact of training.
ISBN: 9798698543350Subjects--Topical Terms:
184390
Information technology.
Subjects--Index Terms:
Business Intelligence
Artificial Intelligence in Mid-Sized Companies and the Problems with Resources and Implementation.
LDR
:02217nmm a2200361 4500
001
594651
005
20210521101716.5
008
210917s2020 ||||||||||||||||| ||eng d
020
$a
9798698543350
035
$a
(MiAaPQ)AAI28255534
035
$a
AAI28255534
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Chappell, Michael Wayne.
$3
886711
245
1 0
$a
Artificial Intelligence in Mid-Sized Companies and the Problems with Resources and Implementation.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2020
300
$a
109 p.
500
$a
Source: Dissertations Abstracts International, Volume: 82-06, Section: B.
500
$a
Advisor: Steiner, Patricia;Davis, Robert.
502
$a
Thesis (D.B.A.)--Northcentral University, 2020.
506
$a
This item must not be sold to any third party vendors.
520
$a
Mid-sized companies require capabilities and new technologies that may be out of their reach in the way of pricing and talent acquisition. Artificial Intelligence (AI) is one such technology that larger corporations are taking advantage of in order to gain competitive advantage. The purpose of this study is to look at AI from the aspect of Business Intelligence (BI) and through the lens of Resource-based View (RBV) to ascertain the impact that AI is having on companies. A new model for the implementation of AI into everyday business activities is presented which is supported by data collection from mid-sized companies throughout the eastern United States. The data is analyzed, and the results presented. Results showed that mid-sized and small companies in the sample are looking at AI but not implementing the technology due to cost and the lack of internal expertise. The study is examined for short comings and a path for future work is outlined, which includes increasing the population and determining financial impact of training.
590
$a
School code: 1443.
650
4
$a
Information technology.
$3
184390
650
4
$a
Business administration.
$3
708619
650
4
$a
Macroecology.
$3
886712
650
4
$a
Artificial intelligence.
$3
194058
653
$a
Business Intelligence
653
$a
Competitive Advantage
653
$a
Resource Based View
690
$a
0489
690
$a
0310
690
$a
0420
690
$a
0800
710
2
$a
Northcentral University.
$b
School of Business and Technology Management.
$3
708772
773
0
$t
Dissertations Abstracts International
$g
82-06B.
790
$a
1443
791
$a
D.B.A.
792
$a
2020
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28255534
based on 0 review(s)
ALL
電子館藏
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
000000193611
電子館藏
1圖書
電子書
EB 2020
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28255534
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login