Research on Algorithm Consumers' Attitudes Toward the Use of Personal Information

Authors

  • Fei Wang
  • Huali Chen

DOI:

https://doi.org/10.56028/aemr.2.1.294

Keywords:

big data; algorithm-based recommendations;ABC attitude model.

Abstract

A new type of customer, the algorithmic consumer, has evolved as a result of the combination of algorithms and the Internet. Enterprises provide different marketing strategies for algorithmic consumers based on collecting and using their personal information. This paper focuses on the attitudes of algorithmic consumers toward businesses gathering and using their personal information. This study analyzed the questionnaire data using SPSSAU software. The questionnaire was designed based on the ABC attitude model, and an empirical study was conducted to find that the overall attitude of algorithmic consumers toward the use of their personal information by companies is neutral, and there is some correlation between various aspects.

Downloads

Published

2022-09-24