Integrating Blockchain and AI in Business Operations to Enhance Transparency and Efficiency within Decentralized Ecosystems

Mohamad  Rakhmansyah; Muhammad Saiful Hadi; Sausan Raihana Putri  Junaedi; Fikri Arsla  Ramahdan; Souza Nurafrianto Windiartono  Putra

doi:10.34306/ajri.v6i2.1177

Authors

Mohamad Rakhmansyah University of Raharja https://orcid.org/0009-0007-9392-3777
Muhammad Saiful Hadi Bank Negara Indonesia https://orcid.org/0000-0002-7720-4074
Sausan Raihana Putri Junaedi University of Raharja https://orcid.org/0009-0004-7019-5146
Fikri Arsla Ramahdan University of Raharja https://orcid.org/0009-0009-7628-6037
Souza Nurafrianto Windiartono Putra University des Saarlandes

DOI:

https://doi.org/10.34306/ajri.v6i2.1177

Keywords:

Blockchain , Operational Efficiency, Predictive Analytics, Data integrity, Decentralized Data Structure

Abstract

This study explores the integration of Blockchain and Artificial Intelligence (AI) technologies in business operations, aiming to enhance transparency and operational efficiency within decentralized ecosystems. Blockchain offers so- lutions to trust issues in business systems through its secure and transparent characteristics, while AI plays a pivotal role in data analysis and automating decision-making. This study uses a qualitative research approach, incorporat- ing case studies and expert interviews to examine the potential and challenges of applying these technologies. The results show that integrating Blockchain and AI accelerates business processes, reduces operational costs, and fosters trust among stakeholders in decentralized ecosystems. However, challenges such as technology adoption, scalability, and initial implementation costs remain signif- icant barriers. This research contributes to the development of more efficient and transparent operational strategies through the application of advanced tech- nologies, and provides a foundation for future research on the impact of these technologies in global business sectors.

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