Agile Decision Making in a Digital World (MGMT90267)

The expectations on contemporary managers to make agile decisions in complex digitised environments are increasing. This subject focuses on the development of managerial capabilities to engage appropriate decision-making models and employ new-generation analytic tools that best-fit the scenario as it unfolds.

This subject provides both conceptual frameworks and practical illustrations of quantitative decision-making techniques including decision trees and optimisation to tackle business problems. Students will be shown how to use these quantitative approaches to analyse business problems and, based on these analyses, make effective decisions. These frameworks can be applied to various decisions faced by organisations, with applications in different areas such as operations, marketing, financial and nursing management.

Managers must also decide if and how to employ Artificial Intelligence (AI) within their workplace decision making to create value for the organisation. This subject explores the function, advantages and limitations of AI and machine learning, and how these tools can optimise decision making in complex digitised environments. Key topics include: (1) the foundations of AI—inputs, processes, and outputs; (2) AI in action in various contexts to evaluate the opportunities and challenges; and (3) the critical analysis of AI to illustrate contrasting scenarios in which the adoption of AI creates value and destroys value for the organisation.