Course Code: BUS376
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Synopsis

This course introduces how organisations use information systems and artificial intelligence (AI) to support decision-making, optimise business operations, and facilitate sustainable development. From a managerial perspective, it focuses on how leaders shape organisational structures, business processes, and workflows that can be designed to enable effective collaboration between people and AI systems. Students will gain a conceptual understanding of AI-enabled systems, data, analytics, and digital technology platforms. Discussions and assessments may include the types and strategic roles of commonly used tools, such as cloud computing environments and enterprise AI solutions. The course addresses AI deployment challenges, capability building, intelligent automation, governance, risk management, and socially responsible and valuable AI practices, enabling students to evaluate organisational readiness and the ethical and strategic implications of AI use. By the end of the course, students are expected to align AI technologies with business strategy, implement AI systems effectively, anticipate risks, and make informed managerial decisions.
Level: 3
Presentation Pattern: EVERY REGULAR SEMESTER

Topics

  • Strategic Role of Information Systems and AI
  • Integrating AI into Business Strategy
  • Organisational Design for Technology and AI
  • Business Processes, Enterprise Systems, and Intelligent Automation
  • AI-Driven Business Intelligence and Analytics
  • AI-Powered Managerial Decision-Making
  • AI Systems and Data Management
  • AI Adoption and Resistance
  • AI Capability Building and Workforce Transformation
  • AI Ethics and Governance
  • AI Risk Management
  • Other Emerging Technologies and Strategic Implications

Learning Outcome

  • Examine the strategic role of information systems and AI in enabling organisational value, adaptability, and competitive advantages.
  • Discuss how AI contributes to various business functions and domains.
  • Interpret complex managerial and ethical challenges to guide effective and responsible AI adoption.
  • Appraise how organisational structures and human-AI collaboration influence effectiveness.
  • Formulate suitable AI systems, tools, or frameworks for business problems.
  • Analyse AI-generated insights and strategic considerations to support responsible, value-driven organisational decisions.