Construal Level Theory and Maslow's Hierarchy with Machine Learning for Enhanced Consumer Demand Analysis

Xin Chen

2024

Abstract

This study delves into the intersection of Construal Level Theory (CLT) and Maslow's Hierarchy of Needs through the lens of advanced machine learning. By adopting psychological labeling and supervised classification learning, it engages with Maslow's model to scrutinize the market's terrain—differentiating emergent brands from established counterparts and examining the fulfillment of consumer needs. This inquiry provides a granular view of how brands cater to the various psychological and spatial dimensions outlined by Maslow and CLT. The fusion of these psychological frameworks with computational analytics serves to shed light on the subtleties of brand performance and consumer preferences. The methodology bridges the gap between abstract psychological theories and their tangible implications in machine learning. The resultant insights afford a richer comprehension of consumer behavior, equipping businesses with the means to fine-tune their marketing endeavors. The enhanced understanding gained through this interdisciplinary approach paves the way for more targeted marketing interventions, thereby improving business decision-making processes and fostering more effective consumer engagement.

Paper Citation

in Harvard Style

Chen X. (2024). Construal Level Theory and Maslow's Hierarchy with Machine Learning for Enhanced Consumer Demand Analysis. In Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-713-9, SciTePress, pages 188-193. DOI: 10.5220/0012922800004508

in Bibtex Style

@conference{emiti24,
author={Xin Chen},
title={Construal Level Theory and Maslow's Hierarchy with Machine Learning for Enhanced Consumer Demand Analysis},
booktitle={Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2024},
pages={188-193},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012922800004508},
isbn={978-989-758-713-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Construal Level Theory and Maslow's Hierarchy with Machine Learning for Enhanced Consumer Demand Analysis
SN - 978-989-758-713-9
AU - Chen X.
PY - 2024
SP - 188
EP - 193
DO - 10.5220/0012922800004508
PB - SciTePress