Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
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This Author published in this journals
All Journal The Journal of Management, Digital Business, and Entrepreneurship The Journal of Financial, Accounting and Economics
I Made Surya Negara Sudirman
Faculty of Economics and Business, Udayana University
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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A Systematic Literature Review on the Use of AI to Improve Management-Supplier Relationships Titi Hardiyati; I Made Surya Negara Sudirman
The Journal of Management, Digital Business, and Entrepreneurship Vol. 4 No. 01 (2026)
Publisher : PT. Global World Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58857/JMDBE.2026.v04.i01.p02

Abstract

The application of Artificial Intelligence (AI) in improving Supplier Relationship Management (SRM) is crucial. Although there is extensive research on AI applications, efforts to systematically review this specific research topic present a challenge because many initiatives have failed to improve supplier relationship management through the use of AI. Therefore, this study aims to conduct a systematic literature review focused on the transformative role of AI in fostering collaboration, transparency, and efficiency across the modern supply chain. The review process encompasses three main methodological steps: the review framework, the formulation of research questions, and a systematic data search strategy (identification, screening, eligibility assessment, quality assessment, as well as data extraction and analysis). Drawing insights from 12 (twelve) research articles, this review highlights the significant contributions of AI-based technologies—such as predictive analytics, natural language processing, and machine learning—to supplier selection, communication, risk management, and real-time feedback. These findings underscore AI’s capacity to enhance trust and adaptability through adaptive decision-making and data-driven strategies, enabling personalized approaches and robust relationship management. While significant progress is evident, challenges such as technology adoption, integration complexity, and the digital divide remain.
From Risk to Uncertainty: A Systematic Literature Review of Business Decision-Making in the Era of Global Business Transformation I Made Surya Negara Sudirman
The Journal of Financial, Accounting, and Economics Vol. 3 No. 2 (2026)
Publisher : PT. Global World Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58857/JFAE.2026.v03.i02.p02

Abstract

Changes in the global business environment influenced by digital transformation, geopolitical dynamics, climate change, and increasing economic complexity have made risk and uncertainty strategic issues in business decision-making. Although these two concepts are often used interchangeably, the literature shows that risk is a condition whose probability can still be estimated, while uncertainty relates to limited information that makes the probability and consequences of an event difficult to predict. This conceptual difference has significant implications for the effectiveness of organizational decision-making, especially in dynamic business environments. This study aims to synthesize the development of literature on the concepts of risk and uncertainty in business decision-making, identify research trends, evaluate theoretical and practical contributions, and identify research gaps that remain open during the period 2015–2025. The study employed a Systematic Literature Review (SLR) approach, adhering to the PRISMA 2020 guidelines. The literature search was conducted through five academic databases: Scopus, ScienceDirect, SpringerLink, Wiley Online Library, and Google Scholar. Of the 18 identified articles, nine met all inclusion criteria and were analyzed using content analysis and thematic synthesis. The results indicate that the literature is evolving toward a more integrative risk management paradigm through the application of Enterprise Risk Management (ERM), digital transformation, artificial intelligence, data analytics, and a sustainability approach (Environmental, Social, and Governance/ESG). The study also identified that the implementation of risk and uncertainty concepts in MSMEs and organizations in developing countries is still relatively limited, thus opening opportunities for further research that integrates behavioral, technological, and local characteristics in developing more adaptive and resilient business decision-making models.
Co-Authors Titi Hardiyati