International Journal of Advanced Multidisciplinary Research and Studies
Volume 3, Issue 6, 2023
Advances and Conceptual Models in Data Integrated ERP Migration for Large Scale Government Workforce Transformation
Author(s): Irene Peter Chibwaye, Oghenemaero Oteri
Abstract:
Enterprise Resource Planning (ERP) migration in large-scale government environments has evolved from a purely technical system upgrade into a strategic instrument for workforce transformation, institutional agility, and data-driven governance. Governments managing thousands to millions of employees face complex legacy architectures, fragmented data silos, regulatory constraints, unionized labor structures, cybersecurity mandates, and public accountability requirements that significantly complicate ERP modernization initiatives. This review synthesizes recent advances in data-integrated ERP migration frameworks, focusing on conceptual models that unify data governance, interoperability architectures, cloud-native infrastructure, and human capital transformation strategies. The paper critically examines integration paradigms including master data harmonization, API-driven interoperability, middleware orchestration, and federated data governance models that enable cross-ministerial coordination. It further explores transformation-centric models that align ERP migration with workforce analytics, digital capability building, performance optimization, and change management ecosystems. Emphasis is placed on large-scale public-sector deployments where scalability, transparency, compliance, and fiscal sustainability are paramount. By consolidating technical, organizational, and policy-driven perspectives, this review proposes a multidimensional conceptual framework that links data integration maturity to workforce transformation outcomes. The study identifies recurring implementation barriers such as data quality heterogeneity, legacy resistance, procurement rigidity, cybersecurity vulnerabilities, and stakeholder misalignment, while also highlighting enabling factors including executive sponsorship, phased modular deployment, and predictive analytics integration. The paper contributes a structured synthesis of architectural evolution, governance alignment, and transformation metrics, offering policymakers, CIOs, and digital transformation leaders a comprehensive reference for designing resilient, scalable, and workforce-centered ERP migration strategies in complex government ecosystems.
Keywords: Data-Integrated ERP Migration, Government Digital Transformation, Workforce Transformation Analytics, Public Sector Enterprise Systems, Cloud-Native ERP Architecture, Data Governance Frameworks
Pages: 2712-2726
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