Fujitsu is committed to helping businesses achieve their Net Positive status - contributing more to society and the environment than they consume. To support this commitment, our goal is to provide customers with a clear roadmap to Net Positive through digital services. Through our Fujitsu Uvance business, we supported the development of the Net Positive Assessment Tool, a first-of-its-kind tool that empowers businesses to measure and advance their progress towards Net Positive impact.
Advancing Net Positive Agenda
Methodology
Introducing the Net Positive Index
The Net Positive Index moves beyond traditional Environmental, Social and Governance (ESG) and sustainability assessments to create an action-oriented approach to understanding how companies within five industries are working to achieve net positivity.
The index framework has four key pillars:
Assess: Are companies measuring their current footprint and handprint?
Commit: Are companies publicly committed to and planning for a Net Positive future?
Implement: Are companies embedding Net Positive behaviours into their business operations?
Advance: Are companies taking action to advance Net Positive?
Figure 3
The Net Positive Index framework
How we built it
The Net Positive Index is based on an in-depth literature review focused on defining Net Positive, the actions and behaviours Net Positive companies exhibit and the tools companies can use to accelerate their sustainability transformation. We validated the framework with an expert panel and interviews with 11 academics and business representatives from across regions. The index data and findings are based on a survey1 of 1,800 executives and decision-maker respondents across 17 countries in North America, Europe and Asia-Pacific within five industries—financial services, manufacturing, mobility, retail and energy & utilities (see Figure 1)—and existing industry-specific sources, including the World Benchmarking Alliance’s Social Benchmark dataset and the UN Global Compact database.
References
- 1.The survey data reflects self-reported responses from participants, which may vary based on individual perspectives and experiences. This should be taken into account when interpreting the findings.