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p-Index From 2021 - 2026
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This Author published in this journals
All Journal International Journal of Management, Entrepreneurship, Social Science and Humanities (IJMESH) Logistic and Operation Management Research
Nazriel Fahri Saifulloh
Universitas Sapta Mandiri
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Social Sciences

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Advancing Digital Transformation through Business Process Orientation Maturity Models: A Systematic Literature Review Budi Riyanto Prabowo; Adieb Mursyada; Nazriel Fahri Saifulloh
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 9 No. 1 (2025): July - December Issue
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v9i1.3430

Abstract

The growing pace of digital transformation has positioned Business Process Orientation Maturity Models (BPOMMs) as critical tools for managing organizational change. This systematic literature review (SLR) synthesizes findings from 40 peer-reviewed journal articles to examine how BPOMMs have evolved to support strategic transformation. The study aims to identify major themes, assess methodologies, and evaluate the incorporation of technology, sustainability, and ethics in maturity models. Using the PRISMA guidelines, a structured four-phase process was applied: identification, screening, eligibility assessment, and inclusion. Searches were conducted in major databases using targeted Boolean strings, followed by thematic synthesis and data tabulation. The review identifies six dominant themes: BPOMMs as enablers of digital transformation; the development of multidimensional, context-specific frameworks; the role of technologies such as AI and IoT; the integration of knowledge management and learning; the embedding of ESG practices; and the theoretical-methodological evolution. The study highlights a growing shift toward adaptive, user-centric, and ethically grounded models. This research contributes to academic and practical understanding by clarifying the strategic relevance of BPOMMs in modern digital ecosystems and proposing directions for more agile, sustainable frameworks.
Toward SCOR 5.0: Integrating AI, IoT, and Green Metrics for Next-Generation Supply Chain Performance Management Adieb Mursyada; Abdul Hamid; Galang Setia Budi; Nazriel Fahri Saifulloh
Logistic and Operation Management Research (LOMR) Vol. 4 No. 2 (2025): Logistic and Operation Management Research (LOMR)
Publisher : Research Synergy Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/lomr.v4i2.3715

Abstract

The convergence of Artificial Intelligence (AI), the Internet of Things (IoT), and sustainability metrics is reshaping supply chain management, yet comprehensive frameworks that unify these elements remain limited. This study aims to propose a conceptual advancement, SCOR 5.0, by systematically reviewing literature from 2020 to 2025 that addresses AI, IoT, and green performance within the SCOR (Supply Chain Operations Reference) framework. Following PRISMA guidelines, 46 peer-reviewed studies were thematically analyzed and synthesized across the five SCOR process areas: Plan, Source, Make, Deliver, and Return. The findings reveal that AI improves predictive accuracy, enhances decision-making, and optimizes sourcing and manufacturing. IoT facilitates real-time tracking, agile delivery, and system-wide visibility. Green metrics, when embedded into SCOR, align performance with sustainability goals, but adoption remains inconsistent. Additionally, the study underscores the moderating role of Green Digital Learning (GDL) in supporting digital readiness and employee capacity building. While the study outlines a proposed SCOR 5.0 model integrating AI, IoT, and green KPIs, it identifies significant implementation barriers, including high costs, regulatory constraints, skill shortages, and a lack of standard metrics. The review highlights a pressing need for empirical validations, testbeds, and impact-assessment tools that can translate theoretical models into practice. This research contributes a synthesized framework and outlines actionable paths forward for both scholars and practitioners.
Co-Authors Abdul Hamid Adieb Mursyada Budi Riyanto Prabowo Galang Setia Budi