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Artificial Neural Networks and Structural Equation Modeling - Marketing and Consumer Research Applications (Hardcover, 1st ed. 2022)
Loot Price: R4,275
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Artificial Neural Networks and Structural Equation Modeling - Marketing and Consumer Research Applications (Hardcover, 1st ed. 2022)
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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. The adoption of
SEM and ANN techniques in social commerce and consumer research is
massive all over the world. Such an expansion has generated more
need to learn how to capture linear and non-compensatory
relationships in such area. This book would be a valuable reading
companion mainly for business and management students in higher
academic organizations, professionals, policy-makers, and planners
in the field of marketing. This book would also be appreciated by
researchers who are keenly interested in social commerce and
consumer research.
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