isbmjbir@isbmk.ac.in
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e-ISSN: applied
ISB&M Journal of Business Issues & Research

ISB&M Journal of Business Issues & Research

ISB&M Journal of Business Issues & Research

Advancing knowledge through rigorous peer-reviewed research across multiple disciplines. Join the global community of scholars shaping the future of academic discovery.

📢 Latest Update: New special issue call for papers on "Business Issues & Research" - Submit by 31 Dec-2026

📢 Latest Update: New special issue call for papers on "Business Issues & Research" - Submit by 31 Dec-2026

Important Journal Details

Title:
ISB&M Journal of Business Issues & Research
Journal Short Name:
ISBMJBIR
e-ISSN (Online):
Applied
Year of Establishment:
2026
Frequency of the Publication:
Bi-Annual (2 Issues / year)
Publication Format:
Online
Related Subject:
Inter-disciplinary
Language:
English
Editor-in-Chief:
Dr. Sourav Kumar Das
Editorial Board:
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Journal's Email ID:
isbmjbir@isbmk.ac.in

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Publisher Details

Responsible Person Name:
Dr. Pramod Kumar
Name of Publishing body:
International School of Business and Media Kolkata
Publisher Website Url:
https://www.isbmk.ac.in
Address:
330/2 Pujali Trunk Road, P.S.Budge Budge, Kolkata- 700138

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All submissions undergo thorough evaluation by experts in the field to ensure quality and validity.

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Published papers reach an international audience of researchers, academics, and industry professionals.

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All published papers are freely accessible online, maximizing visibility and impact of your research.

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Cover image for Artificial Intelligence Readiness Among Small and Medium Enterprises: A Survey Based Assessment Framework

Artificial Intelligence Readiness Among Small and Medium Enterprises: A Survey Based Assessment Framework

Mr. Darshan Patel (ME CE)

Artificial Intelligence (AI) has become an essential technology for improving business efficiency and competitiveness. However, many Small and Medium Enterprises (SMEs) continue to face challenges in adopting AI due to financial limitations, lack of technical expertise, and uncertainty regarding return on investment. This demonstration study proposes an AI Readiness Framework and presents fictional survey data from 150 SMEs to illustrate how such a study may be structured. The findings indicate that while business leaders recognize the strategic importance of AI, implementation readiness remains moderate, emphasizing the need for affordable AI solutions, employee training, and organizational planning.

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