LITERATURE REVIEW: IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE (AI) IN PERFORMANCE SYSTEMS ASSESSMENT TO IMPROVE THE EFFICIENCY OF ORGANIZATIONAL DECISION-MAKING

Authors

  • Sigit Untoro Mulawarman University
  • Hamdani Hamdani Mulawarman University

Keywords:

Artificial Intelligence, Information System Management, Digital Transformation, Decision Making, Performance Assessment

Abstract

Literature review this aim analyze the implementation of Artificial Intelligence (AI) in System Information Management (SIM) and systems evaluation performance to increase efficiency taking decision organization. The method used is a Systematic Literature Review (SLR) with the PRISMA approach based on various literature discussing Artificial Intelligence, Systems Information Management, and System Evaluation Performance. The review results show that the implementation of AI, particularly machine learning, natural language processing (NLP), and deep learning, has resulted in a significant increase in accuracy evaluation performance up to 87.3% compared to conventional methods. Besides that, I found that AI integration in system information evaluation performance can reduce cognitive bias in evaluation, automating the process of collecting and analyzing performance data, and give recommendation taking decision in real-time. Research This proposes an implementation framework for AI-SIPK (Artificial Intelligence – System) Information comprehensive Performance Assessment as a guide for organizations in adopting AI technology for improving efficiency taking decision.

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Published

2026-06-18

How to Cite

Untoro, S., & Hamdani , H. (2026). LITERATURE REVIEW: IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE (AI) IN PERFORMANCE SYSTEMS ASSESSMENT TO IMPROVE THE EFFICIENCY OF ORGANIZATIONAL DECISION-MAKING. Global Research and Innovation Journal, 2(2), 1278–1288. Retrieved from https://journaledutech.com/index.php/great/article/view/1351

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