Course Code: DBA651

Synopsis

DBA651 Managing Technology and Innovation develops senior executives' capability to conduct applied research on technology and innovation that delivers real-world impact. As AI reshapes industries and redefines competitive advantage, leaders need more than operational knowledge — they need the ability to generate rigorous, evidence-based insights that guide strategic decisions. The course covers enterprise AI adoption, generative AI, platform competition, algorithmic management, data-driven business models, and AI governance. Through engagement with cutting-edge research and practitioner cases, students are expected to frame original research questions, evaluate methodologies, and produce findings that inform senior decision-makers, boards and policy-makers. The course is designed for technology leaders, chief digital officers, and senior executives seeking to shape the AI-driven enterprise through research-informed leadership.
Level: 6
Credit Units: 5
Presentation Pattern: EVERY JULY

Topics

  • Foundations of technology and innovation management
  • Technology adoption frameworks and research approaches
  • Generative AI and the intelligent enterprise
  • AI agents, autonomous systems and organisational decision-making
  • Platform economics and platform competition
  • Algorithmic management and the changing nature of work
  • Synthetic data, digital infrastructure and the data-driven firm
  • Open innovation, ecosystems and collaborative innovation
  • AI governance, ethics and regulatory frontiers
  • Cybersecurity, trust and digital resilience
  • Methodological approaches for technology and innovation research
  • Designing an applied research project in technology and innovation

Learning Outcome

  • Appraise foundational and contemporary theories of technology and innovation management as to how they apply to real-world enterprise challenges
  • Investigate the academic and practitioner literature on AI adoption, digital platforms and the intelligent enterprise to identify novel, meaningful, and industry-relevant research questions
  • Formulate an applied research project that addresses a significant technology or innovation challenge facing senior executives
  • Evaluate the conceptual novelty, theoretical foundation, and practical significance of a research question
  • Construct a methodologically rigorous and feasible applied research study in technology and innovation
  • Justify the positioning of research findings such that they advance both scholarly understanding and practitioner action in technology and innovation