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Big Data Approximations: Brand Communities and AI

journal contribution
posted on 2024-04-24, 10:19 authored by Gordon Bowen

The quality of data and information located in brand communities can be ensured by checking for fake reviews or fake information. Artificial intelligence (AI) algorithms have the potential to resolve the ethical issues of fake information and to analyse informational trends accurately and in a timely manner. Thus, the application of AI in brand communities could give firms a sustainable competitive advantage. Also, brand communities extend over many geographical locations, which adds to the richness of the data that could provide valuable insights into products and services. In this application, AI would include an ethical memory and the ability to analyse and synthesise information. Thus, there will be an interface between the algorithm that checks the integrity of the information and the algorithm that analyses the data.

History

Refereed

  • Yes

Volume

12

Issue number

Special Issue

Page range

37-57

Number of pages

21

Publication title

Interdisciplinary Journal of Economics and Business Law

ISSN

2047-8747

Publisher

CJEAS

Location

United Kingdom

File version

  • Accepted version

Language

  • eng

Item sub-type

Article

Affiliated with

  • School of Management Outputs

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