Home
World Journal of Advanced Research and Reviews
International Journal with High Impact Factor for fast publication of Research and Review articles

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

Artificial intelligence marketing and customer satisfaction: An employee job security threat review

Breadcrumb

  • Home
  • Artificial intelligence marketing and customer satisfaction: An employee job security threat review

Idongesit Oto Eshiett 1, * and Oto Eyamba Eshiett 2

1 Department of Marketing, Faculty of Management and Social Sciences, Akwa Ibom State University, Obio Akpa Campus, Oruk Anam, Nigeria.
2 Department of Business Administration, Faculty of Management Sciences, ICT University, Messassi, Yaunde, Cameroun.
 
Review Article
World Journal of Advanced Research and Reviews, 2024, 21(01), 446-456
Article DOI: 10.30574/wjarr.2024.21.1.2655
DOI url: https://doi.org/10.30574/wjarr.2024.21.1.2655
 
Received on 23 November 2023; revised on 01 January 2024; accepted on 03 January 2024
 
Artificial Intelligence (AI), is one of the key innovations created by Information System (IS) in the 21st century. The technology operates on an interconnected network which facilitates marketing decisions. AI role in marketing is quite enormous, as customers’ needs and wants are efficiently met, with customers satisfied and employees sustainably engaged, towards future relationship with the firm. In-spite of its proficient value addition, there are outstanding issues which firms’ employee are dissatisfied with the deployment of AIM, in organizational operations, these includes; the skill gap, resistance to change, and job security threat. The study examines various studies form (journals, books and e-repositories) on AI adoption, firms’ operational activities, and perceived job threat by personnel, saddled with responsibilities of implementing AIM. studies selected was between 2012-2023, the theoretical framework attempts to fill existing gap in literature on customer satisfaction and job threat to personnel, due to AIM deployment. Qualitative research methodology was adopted using in in-depth interviews through focus groups (Management, employee, and AI Technicians), Systematic Literature Review (SLR) will also be adopted to analyze the variables of the construct. The study findings show that there is significant relationship between AI Marketing and customers satisfaction, based on effective engagement of firms’ personnel saddled with the responsibility of deploying AIM in the organization. The implication of the study will be increase labor turnover, for employee without required AI set skills, and apprehension if customers are not satisfied. Future research should examine employee reaction in other functional areas of business, where AI id deployed.
 
Artificial Intelligence Marketing; Employee Job Performance; Customer Satisfaction; Neural Network; Change Resistance Management; and Job Security Threat. 
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2023-2655.pdf

Preview Article PDF

Idongesit Oto Eshiett and Oto Eyamba Eshiett. Artificial intelligence marketing and customer satisfaction: An employee job security threat review. World Journal of Advanced Research and Reviews, 2024, 21(1), 446-456. Article DOI: https://doi.org/10.30574/wjarr.2024.21.1.2655

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 World Journal of Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution