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Intelligent Organisations at Work

Introduction

Markets, technology and the political environment are changing more than ever before. Organisations - and their leaders - need to be agile, adaptive and intelligent to survive and thrive.

This module gives leaders, and those aspiring to leadership positions, what they need to understand and act effectively in a world that is increasingly 'digital’ and ‘connected’ – recognising the impact this has on existing ‘physical’ assets, and on the ultimate asset of any organisation, ‘people’.

The module addresses the challenges facing organisations as they move into an increasingly complex world. It is designed to give participants what they need to make sense of a complex and changing world.

Objectives

Upon successful completion participants will be able to:

  • Recognise and understand the diverse range of technological drivers of change in modern organisations
  • Reflect on today’s organisational environment, analyse the factors driving increased complexity, and evaluate the type of ‘intelligence’ needed to respond to this
  • Appreciate the key elements of intelligent organisations, and debate their relevance and application to contemporary organisations.
  • Assess and critically evaluate a ‘repertoire’ (toolkit) of relevant tools, techniques, theories and models to assist organisations in becoming more intelligent
  • Develop a situational perspective and be able to apply appropriate parts of the toolkit to given scenarios
  • Appraise what has been learned, adapt and apply to participants’ own organisational environment.


Syllabus

  • Understanding and designing intelligent organisations of the future
  • Innovation & competitive performance
  • Systems thinking
  • Technology masterclasses
  • Digital intelligence
  • Knowledge management & decision making
  • Managing the complexity of innovation, compliance, governance & risk
  • Case study


Assessment

In module assessment (20% weighting)

Video log (10% weighting)

Post module assessment, 4,000-5,000 words (70% weighting)


Duration

1 week. Including 24 hours of lectures, 7.5 hours of facilitated cases study and 7.5 hours of self-directed groupwork