Future Directions in Research Methodologies: A Multidisciplinary Approach
Keywords:
Resource Allocation, Containerized Environments, AI-driven Performance Engineering, Machine Learning, KubernetesAbstract
As research landscapes evolve, the need for innovative and interdisciplinary methodologies becomes increasingly critical. This paper explores future directions in research methodologies by emphasizing a multidisciplinary approach that integrates qualitative, quantitative, and computational techniques. Emerging trends such as artificial intelligence, big data analytics, and mixed-methods research are reshaping traditional paradigms, enabling deeper insights and more comprehensive analyses. Additionally, ethical considerations, open science initiatives, and participatory research frameworks are gaining prominence, influencing methodological choices across disciplines. By fostering collaboration between diverse fields, future research methodologies will enhance problem-solving capabilities, promote methodological rigor, and drive scientific progress. This study highlights key challenges and opportunities in developing adaptable, inclusive, and technology-driven research methods for the future.