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p-Index From 2021 - 2026
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All Journal Account : Jurnal Akuntansi, Keuangan dan Perbankan
Restina Purba
Universitas Negeri Medan
Economics, Econometrics & Finance

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Integrating Total Quality Management And Management Control Systems Restina Purba; Meylin Amanda Simalango; Iman Suyakin Daeli; Jufri Darma
ACCOUNT: Jurnal Akuntansi, Keuangan dan Perbankan Vol 12 No 2 (2025): EDISI DESEMBER
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/account.v12i2.7853

Abstract

In the face of global competition, organizations need to integrate Total Quality Management (TQM) with Management Control Systems (MCS) to manage performance more effectively. While TQM emphasizes quality, customer satisfaction, and continuous improvement, MCS provides formal and informal mechanisms to ensure the achievement of strategic objectives. This study aims to examine the relationship, contribution, and challenges of integrating TQM and MCS through a Systematic Literature Review (SLR) of articles published between 2021 and 2025, using content analysis and narrative synthesis. The findings indicate that their synergy strengthens strategic alignment, quality culture, and control systems, thereby enhancing organizational effectiveness, with key success factors including leadership, quality-oriented culture, incentives, and technological support. Overall, the integration of TQM and MCS creates a balance between cultural flexibility and the rigor of control systems, making it highly relevant for both business and public sectors.
Pemanfaatan Big Data Analytics dalam Deteksi Fraud dan Prediksi Kinerja Keuangan: Kajian Literatur Cindy Milasari Sitanggang; Meylin Simalango; Restina Purba; Jufri Darma
ACCOUNT: Jurnal Akuntansi, Keuangan dan Perbankan Vol 12 No 2 (2025): EDISI DESEMBER
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/account.v12i2.7854

Abstract

ABSTRAC The rapid advancement of digital technology has encouraged the adoption of Big Data Analytics (BDA) in various fields, including accounting and finance. This study aims to examine the utilization of BDA in fraud detection and financial performance prediction based on recent literature reviews. The research was conducted by analyzing academic articles and prior studies published since 2021. The findings indicate that BDA significantly contributes to detecting potential fraud by identifying complex data patterns that traditional methods often fail to capture. Moreover, BDA has proven effective in improving the accuracy of financial performance predictions by incorporating broader and real-time variables. This study concludes that BDA is a relevant and adaptive solution to address the challenges of fraud detection and financial forecasting in the big data era, while also providing opportunities for further research in accounting and information systems. Keywords : Big Data Analytics, fraud, financial performance
Co-Authors Cindy Milasari Sitanggang IMAN SUYAKIN DAELI Jufri Darma Meylin Amanda Simalango Meylin Simalango