This chapter has examined interdisciplinary and emerging research frontiers as a foundational paradigm for contemporary scholarship in humanities, social sciences, commerce, and management. It established that complex global challenges—such as artificial intelligence governance, sustainability transitions, digital economy transformation, and data-driven public policy—cannot be effectively addressed through isolated disciplinary approaches. Instead, these issues demand integrative frameworks that combine ethical reflection, social analysis, economic reasoning, managerial insight, and technological understanding. The chapter articulated the conceptual foundations of interdisciplinarity, highlighted key convergent domains including AI–society relations, climate and sustainability research, digital work and organizational change, and data-driven governance, and emphasized the role of methodological innovation in enabling robust, impact-oriented research. At the same time, the chapter critically acknowledged structural, epistemic, and ethical challenges that constrain interdisciplinary practice, including institutional silos, evaluation misalignments, and coordination complexity. It argued that future research agendas must move toward convergence science, responsible innovation, and inclusive knowledge co-creation, with stronger engagement from policymakers, industry, and civil society. Overall, the chapter positions interdisciplinary research not merely as an academic strategy, but as a strategic necessity for producing socially relevant, ethically grounded, and future-ready knowledge, capable of guiding societies toward resilience, equity, and sustainability in the twenty-first century.