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Journal articles on the topic 'Oracle Cloud Fusion'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Ghate, Swapnil Vinod, and Vishwadeepak Singh Baghela. "Optimizing Supply Chain Processes with Oracle Fusion Cloud: Case Studies and Lessons Learned." International Journal of Research in Modern Engineering & Emerging Technology 13, no. 4 (2025): 98–115. https://doi.org/10.63345/ijrmeet.org.v13.i4.6.

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Supply chain process optimization is necessary for organizations to enhance operational effectiveness, reduce costs, and enhance responsiveness within the context of a dynamic market environment. Oracle Fusion Cloud has emerged as an end-to-end solution to address these challenges in the form of an integrated portfolio of cloud-based applications that supplement the strengths of supply chain management (SCM). This paper reviews literature from 2015 to 2024 on the application of Oracle Fusion Cloud to supply chain process optimization with a special emphasis on its impact on automation, supplie

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2

Ravi Teja Balla. "Oracle Fusion Cloud: Empowering Intelligent Integration for Digital-First Enterprises." Global Journal of Engineering and Technology Advances 23, no. 3 (2025): 264–70. https://doi.org/10.30574/gjeta.2025.23.3.0199.

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This article presents a comprehensive overview of Oracle Fusion Cloud as a strategic integration backbone for digital-first enterprises. In today's interconnected economy, organizations face challenges with siloed operations and fragmented data architectures that hinder visibility, efficiency, and innovation. The article explores how Oracle Fusion Cloud addresses these challenges through a modular ecosystem that enables holistic integration, enterprise extensibility, business process automation, and actionable intelligence. It examines enterprise-grade integration patterns, including event-dri

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3

Thejas, Prasad. "Automate Cloud Trial Balance to Legacy Trial Balance Reconciliation of Payables Invoices During the Data Migration Projects." European Journal of Advances in Engineering and Technology 8, no. 12 (2021): 131–36. https://doi.org/10.5281/zenodo.13919112.

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In the context of data migration projects, particularly when transitioning from Oracle E-Business Suite (EBS) to Oracle Fusion Cloud ERP, one of the most challenging tasks is the reconciliation of Accounts Payables (AP) invoices. This process is crucial to ensure that all eligible open payables invoices are accurately selected for migration. A key part of this task involves reconciling the Oracle Fusion Cloud Payables Trial Balance with the Oracle E-Business Suite Payables Trial Balance. The reconciliation must also account for any invoices that encountered errors during the cloud interface co

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4

Singh, Vinay. "Lessons Learned from Large-Scale Oracle Fusion Cloud Data Migrations." International Journal of Science and Research (IJSR) 10, no. 10 (2021): 1662–66. https://doi.org/10.21275/sr21101083620.

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5

Thejas, Prasad. "Automate the Reconciliation Process of Open Payables Invoices and Migration Extract During Data Conversion." European Journal of Advances in Engineering and Technology 7, no. 8 (2020): 90–95. https://doi.org/10.5281/zenodo.13919094.

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Data migration of Accounts Payables (AP) invoices from Oracle E-Business Suite (EBS) to Oracle Fusion Cloud ERP is a complex and critical process, with the accuracy of the migration hinging on the selection of all eligible open payables invoices. Ensuring that these invoices are correctly extracted for migration requires meticulous reconciliation with the Oracle E-Business Suite Payables Trial Balance. Traditionally, this reconciliation process is performed manually, demanding significant time and effort while being prone to human error. The manual approach often results in discrepancies that

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6

Mehta, Dvija. "Best Practices for Timely and Accurate Form 1099 Filing Using Oracle Fusion Payables." Journal of Research in Science and Engineering 7, no. 4 (2025): 61–65. https://doi.org/10.53469/jrse.2025.07(4).13.

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1099 Forms are one of the important tax forms used to report various non-employee (i.e. non-payroll) payments made to an individual or an entity. The forms need to be reported to tax authorities in the United States and also be sent to the recipient of such payments. Multiple types of 1099 forms are available depending on the type of payment they report. Two of the most commonly used forms that deal with supplier payments are Form 1099-NEC and Form 1099-MISC. These forms can be generated from Oracle Fusion Payables. Fusion Payables is part of Oracle Fusion ERP cloud, a choice of many enterpris

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Panigrahi, Sambit. "AI in HR: Impact of Artificial Intelligence on Transforming Human Resources." American Journal of Management and Economics Innovations 07, no. 07 (2025): 51–58. https://doi.org/10.37547/tajmei/volume07issue07-06.

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The article examines the impact of artificial intelligence on the transformation of human resource management functions, analyzing the practices of embedding AI modules in the Oracle Fusion Cloud HCM platform and assessing their economic and strategic effects. Against the backdrop of rapid growth in AI penetration into business processes and active participation of HR units in the selection of AI solutions, the relevance of this study is determined by the need to optimize recruitment, retention and development of personnel, as well as to free up to 12 hours of working time per week for strateg

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8

Kumar, Jugander. "Intercompany Processes Efficiency Using Oracle Fusion Erp Cloud – A Systematic Review." International Journal of Computer Trends and Technology 71, no. 1 (2023): 56–64. http://dx.doi.org/10.14445/22312803/ijctt-v71i1p109.

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9

Saleem, Adnan, Muhammad Waqas Aslam Shehzad, and Mohsin Iqbal. "Managerial Impact of Cloud Integration, Business Process Automation, and ERP Optimization on Organizational Efficiency: Evidence from LabCorp, USA." Journal of Humanities, Health and Social Sciences 2, no. 4 (2024): 61–73. https://doi.org/10.61503/jhhss/v2i4.59.

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This study explores the influence of cloud integration, business process automation, and ERP system optimization on improving organizational efficiency, with a focus on strategic management practices in the healthcare and diagnostics sector. The objective is to assess how management-led implementation of Oracle Fusion Cloud technologies—such as OIC, BI, SOA Suite, and ERP modules supports financial and supply chain operations, decision-making, and digital transformation at Labcorp, Durham, NC. A qualitative case-based approach was adopted using structured interviews and documentation analysis

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10

Bajaj, Deepak. "The Evolution of Oracle Fusion Cloud: Exploring AI-Driven Enhancements for ERP Systems." International Journal of Advances in Engineering and Management 7, no. 2 (2025): 332–41. https://doi.org/10.35629/5252-0702332341.

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This article explores the transformative evolution of Oracle Fusion Cloud's AI-driven enhancements in Enterprise Resource Planning systems. The article examines how artificial intelligence has revolutionized decisionmaking processes, automated operations, and enhanced predictive analytics capabilities across various business functions. Through a comprehensive analysis of implementation data spanning multiple organizations, the article investigates the impact of adaptive intelligence applications, machine learning frameworks, neural network implementations, and natural language processing capab

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11

Mukesh Garg and Dr. Pooja Sharma. "Leveraging AI and ML for Scalable Optimization in Oracle Cloud ERP Implementations." Universal Research Reports 12, no. 1 (2025): 465–74. https://doi.org/10.36676/urr.v12.i1.1506.

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In today’s rapidly evolving digital landscape, the integration of artificial intelligence (AI) and machine learning (ML) has emerged as a transformative force within enterprise resource planning (ERP) systems. This paper examines the strategic role of AI and ML in enhancing the scalability and optimization of Oracle Cloud ERP implementations. By leveraging advanced algorithms and predictive analytics, organizations can gain valuable insights into their operational data, thereby enabling more informed decision-making and proactive process improvements. The integration of AI and ML facilitates t

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12

Liu, Rukun, Teng Wang, Yuxue Yang, and Bingjie Yu. "Database Development Based on Deep Learning and Cloud Computing." Mobile Information Systems 2022 (April 29, 2022): 1–10. http://dx.doi.org/10.1155/2022/6208678.

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In this research, the author develops databases based on deep learning and cloud computing technology. On the basis of designing the overall architecture of the database with the distributed C/S mode as the core, use J2EE (Java 2 Platform, Enterprise Edition) as the development tool, apply Oracle server database, extract data features with in-depth learning technology, allocate data processing tasks based with cloud computing technology, so as to finally complete data fusion and compression. Finally, the overall development of the database is completed by designing the database backup scheme a

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13

Rîndaşu, Sînziana-Maria, Liliana Ionescu-Feleagă, Bogdan-Ștefan Ionescu, and Alexandra Mihaela Barbu. "Unveiling challenges and insights in cloud Enterprise Resource Planning systems adoption: A case study of the Oracle Fusion Cloud ERP." Management & Marketing 19, no. 4 (2024): 644–66. https://doi.org/10.2478/mmcks-2024-0029.

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Abstract The migration from legacy systems to cloud Enterprise Resource Planning systems is driven by technological advancements and competitive pressure, prompting companies to seek more agile and scalable solutions. Although developers and vendors aim to ease the adoption process, significant challenges persist and can lead to potential disruptions to business operations and affect the organisations’ reputation. Starting from a qualitative approach, this study aims to explore and uncover the difficulties faced by end users across different roles and industries. An inductive examination of th

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14

Thejas, Prasad. "General Ledger First - Implementation Approach in Enterprise Resource Planning System Upgrades to Cloud." Journal of Scientific and Engineering Research 10, no. 11 (2023): 201–8. https://doi.org/10.5281/zenodo.13918287.

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The migration from on-premise Enterprise Resource Planning (ERP) systems to cloud-based ERP platforms is a critical step for large multinational organizations seeking to modernize their operations and improve scalability. However, the complexity of such transitions often poses significant risks, particularly when attempting a comprehensive "big bang" approach. This method, which involves migrating all ERP modules at once, can lead to unexpected disruptions, jeopardizing business continuity. To mitigate these risks, a phased implementation strategy, starting with the General Ledger (GL) as the

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15

Manoj Varma Lakhamraju,. "Best of Breed vs. Single Suite: The Strategic Advantage of Multi-Tool Integration in Enterprise Resource Planning." Journal of Information Systems Engineering and Management 10, no. 23s (2025): 663–71. https://doi.org/10.52783/jisem.v10i23s.3763.

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Enterprise Resource Planning (ERP) systems play a crucial role in today’s businesses by offering centralized management of operations, financial transactions, human resources, and resource allocation. In the past, companies typically relied on single-suite ERP solutions like SAP or Oracle ERP, which aimed to provide a cohesive approach to managing enterprises. However, as business functions have become more complex, there has been a shift towards best-of-breed strategies. This approach involves integrating multiple specialized tools to effectively meet specific enterprise needs. This paper exa

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16

Vinay Singh. "AI-Driven Cash Flow Forecasting in ERP Systems: Integrating Economic Indicators and Real-Time Transaction Data Using LSTM-Based Time-Series Models." Journal of Information Systems Engineering and Management 10, no. 42s (2025): 238–48. https://doi.org/10.52783/jisem.v10i42s.7879.

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Maintaining financial stability and strategic planning in companies depends on cash flow projections. Often relying on static spreadsheets and historical data, traditional approaches might not precisely reflect real-time financial situations. This study presents an AI-driven cash flow forecasting method included into Enterprise Resource Planning (ERP) systems. Combining real-time transaction data with outside economic indicators—such as inflation rates, interest rates, commodity prices, and geopolitical sentiment—helps companies to create more accurate and responsive cash flow models. This pap

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17

Vinay, Singh. "AI and ERP Integration for Adaptive Dynamic Costing Based on Consumer Demand Fluctuations in Manufacturing." European Journal of Advances in Engineering and Technology 12, no. 3 (2025): 1–7. https://doi.org/10.5281/zenodo.15165976.

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This research aims to automate product costing based on consumer demand fluctuation using artificial intelligence (AI) integration with the Oracle ERP system. From raw material procurement and factory scheduling to real-time product cost estimates and financial forecasts, AI can simplify and improve many activities as manufacturing processes get more complicated. Automating product costing based on consumer demand allows artificial intelligence to help producers reach higher accuracy, efficiency, and cost optimization, thus enhancing organizations profitability. The paper examines how artifici

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18

Vinay, Singh. "AI-Driven ERP Evolution: Enhancing Supply Chain Resilience with Neural Networks and Predictive LSTM Models." European Journal of Advances in Engineering and Technology 12, no. 2 (2025): 47–52. https://doi.org/10.5281/zenodo.15044216.

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Major advances in enterprise resource planning (ERP) systems have come from the fast development of artificial intelligence (AI) technology, therefore enabling businesses to streamline their operations, enhance decision-making, and increase supply chain efficiency. This article looks at how integrating artificial intelligence with ERP systems can enable companies to improve procurement procedures and enhance supply chain efficiency. Using artificial intelligence technologies—including machine learning, natural language processing, robotic process automation (RPA), and predictive analytic

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19

Prasad, Thejas. "Enhancing the Asset Posting Process in Cloud Enterprise Resource Planning Application." Journal of Economics & Management Research, January 31, 2024, 1–4. http://dx.doi.org/10.47363/jesmr/2024(5)e105.

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The asset posting process in Oracle Cloud Enterprise Resource Planning (ERP) Fusion Fixed Assets is a critical function that requires accuracy and efficiency. Traditionally, the process involves significant manual input, leading to potential errors and delays. This article explores the enhancements made to the asset posting process, focusing on the automation of field population within the Mass Additions Interface. By leveraging specific logic to autopopulate key fields, the enhanced process significantly reduces manual efforts, thereby accelerating the overall asset posting procedure. These i

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20

Narayana Challa, Narayana Challa. "Harmony in Integration: Unveiling Novel Paradigms in ERP Implementation and Trends." Journal of Technology and Systems 6, no. 1 (2024). http://dx.doi.org/10.47941/jts.1602.

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Purpose: Enterprise Resource Planning (ERP) systems, originating in the early 1970s, have undergone a transformative evolution, becoming pivotal in unifying various company functions such as marketing, finance, production, and human resources. These systems, like SAP's large-scale deployments since the 1990s, enable the swift collection and processing of real-time data for effective daily management control. Methodology: In the dynamic ERP landscape, Oracle stands out as a Leader in the 2023 Gartner® Magic Quadrant for Cloud ERP for Service-Centric Enterprises, particularly with its Orac

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21

Vinodkumar Semlani, Deepesh. "Optimizing Financial Close Processes with AI: Automation and Efficiency Gains in Oracle Cloud Fusion." INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS 13, no. 6 (2025). https://doi.org/10.56975/ijcrt.v13i6.287220.

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