Suwandi Ng
Universitas Atmajaya Makassar, Makassar, Indonesia

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Exploration of Blockchain-Based Financial Models in Digital Asset Management: A Case Study in the Property and Real Estate Industry PA Andiena Nindya Putri; Susanti Usman; Suwandi Ng; I Ketut Kusuma Wijaya; Hedar Rusman
Dinasti International Journal of Economics, Finance & Accounting Vol. 5 No. 2 (2024): Dinasti International Journal of Economics, Finance & Accounting (May - June 20
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v5i2.2633

Abstract

This article presents a comprehensive literature review exploring the application of blockchain-based financial models in digital asset management, focusing on the property and real estate industry. Blockchain technology has garnered significant attention for its potential to revolutionize traditional financial systems by offering transparent, secure, and decentralized solutions. In the context of asset management, blockchain's immutable ledger and smart contract functionalities promise increased efficiency, reduced costs, and enhanced trust among stakeholders. Through a systematic review of existing literature, this study synthesizes key findings regarding the adoption, challenges, and opportunities of blockchain-based financial models in property and real estate asset management. The analysis encompasses aspects such as tokenization of assets, smart contracts for automated transactions, regulatory considerations, and industry-specific use cases. By examining current research and industry practices, this article contributes to a deeper understanding of how blockchain technology can reshape financial models and management strategies within the property and real estate sector.
Application of Big Data Technology in Financial Auditing: Challenges, Opportunities, and Implications for the Accounting Profession Henky Hendrawan; Suwandi Ng; Agustin Rusiana Sari; Muhammad Azizi; Verawaty
Dinasti International Journal of Economics, Finance & Accounting Vol. 5 No. 3 (2024): Dinasti International Journal of Economics, Finance & Accounting (July - August
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v5i3.2829

Abstract

The integration of Big Data technology in financial auditing has transformed traditional auditing practices, offering significant opportunities for enhancing audit quality and efficiency. This literature review examines the challenges, opportunities, and implications of Big Data technology in the accounting profession. It explores how Big Data tools and techniques can improve data analysis, risk assessment, and fraud detection. However, the adoption of Big Data also presents challenges, such as data privacy concerns, the need for specialized skills, and the complexity of managing large datasets. This review highlights the current state of research in this field and provides insights into the future directions for incorporating Big Data in financial auditing. The findings underscore the necessity for continuous professional development and the adaptation of regulatory frameworks to fully harness the benefits of Big Data technology