Summary
Sustainability is a key driver for decisions in the management and future development of organisations and industries. However, quantifying and comparing sustainability across the triple bottom line (TBL) of economy, environment and social impact, has been problematic. There is a need for a tool which can measure the complex interactions within and between the environmental, economic and social systems which affect the sustainability of an industry in a transparent, consistent and comparable way.

The authors acknowledge that there are currently numerous ways in which sustainability is measured and multiple methodologies in how these measurement tools were designed. The purpose of this book is to showcase how Bayesian network modelling can be used to identify and measure environmental, economic and social sustainability variables and to understand their impact on and interaction with each other.

This book introduces the Sustainability Scorecard, and describes it through a case study on sustainability of the Australian dairy industry. This study was conducted in collaboration with the Australian dairy industry.

Contents
Conceptual Model
Triple bottom line sub-models
Economic sub-model nodes, indicators and measures
Social sub-model nodes, indicators and measures
Environmental sub-model nodes, indicators and measures

Dairy Sustainability Scorecard

Scenario Testing for the Scorecard
Scenario testing of the Dairy Australia Sustainability Scorecard
Dairy Australia sustainability scenarios
Economic sustainability scenarios
Social sustainability scenarios
Environmental sustainability scenarios
Strength of influence across the TBL for dairy
Strength of influence in economic TBL
Strength of influence in social TBL
Environmental TBL

A Triple Bottom Line Planning Tool for Measuring Sustainability

Evidence Base
Design
Quantify
Validate
Evaluate
Adapt

Conclusion

Measures for the Bayesian network
Economic
Social
Environmental

References