HKSYU Course Resources
MARC Display
LEADER 02469cam a22003858i 4500
001
991008210868707546
005
20240405151542.0
008
231116s2022 si a f b 000 0 eng d
020
a| 9789811965111
q| (paperback)
020
z| 9789811965098
q| (ebook)
035
a| (CaONFJC)107713511
040
d| NNfCLS
b| eng
e| rda
d| HK-SYU
050
4
a| HF5415.32
b| .A78 2022
082
0
4
a| 658.8342
2| 23
092
0
a| 658.8342
b| ART 2022
245
0
0
a| Artificial neural networks and structural equation modeling :
b| marketing and consumer research applications /
c| edited by Alhamzah Alnoor, Khaw Khai Wah, Azizul Hassan.
246
3
0
a| Marketing and consumer research applications
264
1
a| Singapore :
b| Springer,
c| [2022]
264
4
a| ©2022
300
a| ix, 341 pages :
b| illustrations (some color) ;
c| 24 cm
336
a| text
b| txt
2| rdacontent
337
a| unmediated
b| n
2| rdamedia
338
a| volume
b| nc
2| rdacarrier
504
a| Includes bibliographical references.
520
a| "This book goes into a detailed investigation of adapting artificial neural network (ANN) and structural equation modeling (SEM) techniques in marketing and consumer research. The aim of using a dual-stage SEM and ANN approach is to obtain linear and non-compensated relationships because the ANN method captures non-compensated relationships based on the black box technology of artificial intelligence. Hence, the ANN approach validates the results of the SEM method. In addition, such the novel emerging approach increases the validity of the prediction by determining the importance of the variables. Consequently, the number of studies using SEM-ANN has increased, but the different types of study cases that show customization of different processes in ANNs method combination with SEM are still unknown, and this aspect will be affecting to the generation results. Thus, there is a need for further investigation in marketing and consumer research. This book bridges the significant gap in this research area." --
c| Amazon.
650
0
a| Marketing research
x| Data processing.
650
0
a| Consumer behavior
x| Data processing.
650
0
a| Neural networks (Computer science).
650
0
a| Structural equation modeling.
700
1
a| Alnoor, Alhamzah,
e| editor.
700
1
a| Khaw, Khai Wah,
e| editor.
700
1
a| Hassan, Azizul,
e| editor.
910
b| wlc
c| wsl
998
a| book
b| dd-mm-yy
945
h| Supplement
l| location
i| barcode
y| id
f| bookplate
a| callnoa
b| callnob
n| BUS235