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Artificial neural networks and structural equation modeling : marketing and consumer research applications

edited by Alhamzah Alnoor, Khaw Khai Wah, Azizul Hassan.
Singapore : Springer, [2022] ©2022
"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." --

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Bibliographic Information

Format:
book Book
Subject:
Marketing research > Data processing.
Consumer behavior > Data processing.
Neural networks (Computer science).
Structural equation modeling.
Language:
English
ISBN:
9789811965111
Course:
BUS235
Marketing Research
Bibliography:
Includes bibliographical references.

 

 


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