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     2026:5/3

International Journal of Management and Organizational Research

ISSN: (Print) | 2583-6641 (Online) | Impact Factor: 8.56 | Open Access

A Conceptual Framework for Automating Operations Management Through Scalable Cloud Platforms

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Abstract

The evolution of cloud computing has introduced unprecedented opportunities for transforming operations management in modern enterprises. This paper presents a conceptual framework for automating operations management through scalable cloud platforms, aiming to enhance agility, efficiency, and real-time decision-making. As businesses navigate the complexities of global markets, the integration of automation with cloud infrastructure becomes a strategic imperative for sustaining competitiveness and operational excellence. Traditional operations management models, often limited by rigid IT systems and manual processes, struggle to adapt to the dynamic demands of today's digital economy. By leveraging the scalability, flexibility, and processing power of cloud platforms, organizations can automate core operational functions such as supply chain coordination, inventory control, service delivery, and workforce scheduling. The proposed framework emphasizes the use of Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS) models to build automated workflows that support continuous operations and seamless scaling. The integration of machine learning algorithms and real-time analytics into cloud-based operations enables predictive maintenance, demand forecasting, anomaly detection, and intelligent resource allocation. The framework also supports interoperability between cloud services and legacy systems, ensuring smoother digital transformation for organizations at various stages of cloud adoption. This study draws from current literature, industry use cases, and emerging technologies to develop a comprehensive model that aligns cloud capabilities with key operational objectives. It also addresses implementation challenges such as data security, latency, compliance, and cost optimization. A comparative analysis of leading cloud providers—such as AWS, Microsoft Azure, and Google Cloud—demonstrates the diverse toolsets and automation capabilities available for operations management. Ultimately, this framework provides actionable insights for operations managers, IT architects, and digital transformation leaders seeking to leverage scalable cloud platforms to drive automation, efficiency, and strategic growth. It contributes to the expanding discourse on cloud-enabled operational intelligence and underscores the critical role of automation in future-proofing organizational infrastructure.

How to Cite This Article

Oyinomomo-emi Emmanuel Akpe, Samuel Owoade, Bright Chibunna Ubamadu, Andrew Ifesinachi Daraojimba, Toluwase Peter Gbenle (2022). A Conceptual Framework for Automating Operations Management Through Scalable Cloud Platforms . International Journal of Management and Organizational Research (IJMOR), 1(2), 58-77. DOI: https://doi.org/10.54660/IJMOR.2022.1.2.58-77

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