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 March 2026 (Volume 29, Issue 3) Submit manuscript

Integrating artificial intelligence, blockchain, and management information systems for business transformation: A bibliometric-content analysis

Breadcrumb

  • Home
  • Integrating artificial intelligence, blockchain, and management information systems for business transformation: A bibliometric-content analysis

Md Habibullah Faisal 1, Sufi Sudruddin Chowdhury 2, *, Md. Sohel Rana 1, Zahidur Rahman 1, Emran Hossain 3 and Md Ekrim Hossin 4

1 Department of Business Administration, International American University, Los Angeles, CA 90010, USA.
2 Department of Business Administration, Daffodil International University, Birulia 1216, Bangladesh.
3 Department of Law, Bangladesh Islami University, Mugda, Dhaka 1214, Bangladesh.
4 Department of Business Administration, University of Portsmouth, Southsea, Portsmouth PO1 2UP, United Kingdom.
 
Research Article
World Journal of Advanced Research and Reviews, 2022, 16(03), 1181-1188
Article DOI: 10.30574/wjarr.2022.16.3.1171
DOI url: https://doi.org/10.30574/wjarr.2022.16.3.1171
 

 

Received on 04 October 2022; revised on 24 December 2022; accepted on 27 December 2022
 
A cornerstone of modern corporate transformation is the combination of Artificial Intelligence (AI), Blockchain, and Management Information Systems (MIS). This integration provides creative solutions to improve decision-making, operational efficiency, and organizational agility. All three of these technologies are interconnected. An examination of the convergence of these cutting-edge technologies and the impact they have on business operations is presented in this study in the form of a bibliometric-content analysis. Using a dataset consisting of publications that have been reviewed by other researchers and proceedings from conferences, we identify major trends, topic clusters, and research gaps in the existing body of literature. According to the findings, the capabilities of artificial intelligence in predictive analytics, the safe and transparent data management provided by blockchain, and the structured information processing provided by management information systems all work together to encourage sustainable corporate growth and change. Supply chain optimization, modeling of client behavior, and the protection of financial transactions are examples of prominent applications. Interoperability, scalability, and ethical considerations are some of the new challenges that are brought to light by the analysis. These challenges call for further investigation in the future. This study contributes to the academic and practical understanding of how artificial intelligence (AI), blockchain technology, and management information systems (MIS) interact to rethink business strategy and provides insights that can be put into action by policymakers, researchers, and industry practitioners.
 
Artificial Intelligence; Business Integration; Content Analysis; Emerging Trends; Digital Transformation
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2022-1171.pdf

Preview Article PDF

Md Habibullah Faisal, Sufi Sudruddin Chowdhury, Md. Sohel Rana, Zahidur Rahman, Emran Hossain and Md Ekrim Hossin. Integrating artificial intelligence, blockchain, and management information systems for business transformation: A bibliometric-content analysis. World Journal of Advanced Research and Reviews, 2022, 16(3), 1181-1188. Article DOI: https://doi.org/10.30574/wjarr.2022.16.3.1171

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