NEURAL Networks and Consumer Behavior: NEURAL Models, Logistic Regression, and the Behavioral Perspective Model
TL;DR: This paper investigates the ability of connectionist models to explain consumer behavior, focusing on the feedforward neural network model, and explores the possibility of expanding the theoretical framework of the Behavioral Perspective Model to incorporate connectionist constructs.
read more
Abstract: This paper investigates the ability of connectionist models to explain consumer behavior, focusing on the feedforward neural network model, and explores the possibility of expanding the theoretical framework of the Behavioral Perspective Model to incorporate connectionist constructs. Numerous neural network models of varying complexity are developed to predict consumer loyalty as a crucial aspect of consumer behavior. Their performance is compared with the more traditional logistic regression model and it is found that neural networks offer consistent advantage over logistic regression in the prediction of consumer loyalty. Independently determined Utilitarian and Informational Reinforcement variables are shown to make a noticeable contribution to the explanation of consumer choice. The potential of connectionist models for predicting and explaining consumer behavior is discussed and routes for future research are suggested to investigate the predictive and explanatory capacity of connectionist models, such as neural network models, and for the integration of these into consumer behavior analysis within the theoretical framework of the Behavioral Perspective Model.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Meta-analyses and effect sizes in applied behavior analysis: A review and discussion
TL;DR: For more than four decades, researchers have used meta-analyses to synthesize data from multiple experimental studies often to draw conclusions that are not supported by individual studies as discussed by the authors, and more recently, single-case experimental design (SCED) researchers have adopted meta-analysis techniques to answer research questions with data gleaned from SCED experiments.
48
•Posted Content
Customer perceptions of service dimensions: cross-cultural analysis and perspective
TL;DR: In this article, the authors present the results of a study that examined how customers in the USA, France, and Korea perceived and classified a set of 13 services based on multidimensional scaling (MDS).
35
Advances in Machine Learning for the Behavioral Sciences
TL;DR: The goal is to provide a general introduction into different tasks such as learning from tabular data, behavioral data, or textual data, with a particular focus on actual and potential applications in behavioral sciences.
16
Emergent Virtual Analytics: Artificial Intelligence and Human-Computer Interactions
Chris Ninness,Sharon K. Ninness +1 more
TL;DR: A comparison of how cloud-based AI systems impact U.S. citizens and citizens of the European Union in terms of individual rights, security, equitable access, inadvertent machine discrimination, and corporate responsibilities is compared.
11
Advances in Machine Learning for the Behavioral Sciences
TL;DR: The areas of machine learning and knowledge discovery in databases have considerably matured in recent years as mentioned in this paper, and a review of recent developments as well as classical algorithms that stood the test of time can be found in this article.
10
References
The Behavioral Economics of Consumer Brand Choice: Patterns of Reinforcement and Utility Maximization
TL;DR: Based on the analysis of buying patterns of 80 consumers for 9 product categories, the paper examines the continuum of consumers and seeks to relate their buying behavior to the question of how and what consumers maximize.
108
The behavioral ecology of brand choice: How and what do consumers maximize?
TL;DR: In this paper, the authors show that consumers' purchasing patterns for fast-moving goods exhibit matching, but in the form of multibrand purchasing rather than exclusive choice, and for substitutes, choice is not price sensitive but still appears consistent with maximization of price- and nonprice-related sources of value.
104
Connectionism: Debates on Psychological Explanation
Cynthia Macdonald,Graham Macdonald +1 more
- 01 Jan 1995
102
Consumer Behaviour: a Literature Review
TL;DR: In this article, it is argued that consumer behavior itself emerged as a distinct field of study during the 1960s; and is characterized by two broad paradigms, the positivist and the non-positivist.
91
The substitutability of brands
TL;DR: In this paper, it was shown that most consumers show multi-brand purchasing over a sequence of shopping opportunities, choosing within a small "repertoire" of available brands.
87