Hybrid Agile-Kanban frameworks for workflow adaptability: A proposed solution for innovation in project management
Data-Axle, USA.
Research Article
World Journal of Advanced Research and Reviews, 2024, 24(02), 2454–2467
Publication history:
Received on 16 October 2024; revised on 26 November 2024; accepted on 28 November 2024
Abstract:
Agile and Kanban methodologies have become indispensable in modern project management, emphasizing workflow adaptability, iterative processes, and streamlined task prioritization to meet dynamic project requirements. However, traditional applications of these methodologies often face challenges such as workflow inefficiencies, misaligned task priorities, and bottlenecks caused by static configurations and manual adjustments. A hybrid approach that combines Agile methodologies with Kanban principles, including visualization tools and flow control, offers a promising solution to these challenges. This paper presents a comprehensive exploration of a Hybrid Agile-Kanban Framework (HAKF), designed to enhance project workflow optimization, team collaboration, and task execution. By integrating artificial intelligence (AI) for real-time feedback loops and dynamic task prioritization, the proposed framework addresses common bottlenecks and resource imbalances, enabling more efficient and scalable project management practices. Despite its transformative potential, challenges such as tool integration, scalability, and initial adoption barriers must be addressed for widespread implementation. To mitigate these issues, this paper introduces a conceptual HAKF model that seamlessly integrates with existing project management tools, providing actionable insights for optimizing workflows. This study lays a foundation for future research into hybrid methodologies, advancing the potential of Agile-Kanban integration to create more efficient and adaptive project management systems.
Keywords:
Hybrid Agile-Kanban; Workflow Adaptability; Iterative Planning; Task Optimization; Team Coordination; Real-Time Feedback Loops; Artificial Intelligence in Project Management.
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0