Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Journal of Contemporary Administration and Management (ADMAN)
⁠Rokhadi
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
A Comprehensive Analysis of Optimizing the Role of Artificial Intelligence-Based Management Information Systems in Driving Digital Transformation and Enhancing Organizational Performance in the Industry 4.0 Era Amira S, L. Happy; ⁠Rokhadi; Hariyanti; Setyawati, Heri Tugas; Sukistanto
ADMAN: Journal of Contemporary Administration and Management Vol 2 No 3 (2024): December 2024
Publisher : PT. LITERASI SAINS NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61100/adman.v2i3.234

Abstract

This study aims to comprehensively analyze the role of Artificial Intelligence (AI)-based Management Information Systems (MIS) in supporting digital transformation and enhancing organizational performance in the Industry 4.0 era. A qualitative literature review with descriptive analysis was employed, using data sourced from 19 articles selected via Google Scholar from 2014–2024. The findings reveal that AI-based MIS significantly contribute to improving operational efficiency, supporting strategic decision-making, and fostering innovation. Case studies on PT Astra International Tbk, Bank BRI, and Tokopedia illustrate how AI implementation can optimize business processes and enhance organizational competitiveness. However, adopting this technology faces challenges such as infrastructure limitations, digital literacy gaps, and high implementation costs, particularly for SMEs. The study's implications include recommendations for organizations to prioritize infrastructure readiness and human resource development, as well as the importance of cross-sector collaboration to promote inclusive and sustainable digital transformation. This research provides theoretical contributions to the literature on AI's role in MIS and practical guidance for technology implementation across various sectors.
Co-Authors Hariyanti Hariyanti L. Happy Amira Setyawati, Heri Tugas Sukistanto