Real-life applications of the Value Creation Wheel

Business Applications of VCW

VCW for BF5: Expanding Services for Sustainable Fishing

This project utilizes the Value Creation Wheel (VCW) framework to determine the best geographical market for BF5 to expand its services related to fishing area characterization, fish provenance, eco-labeling, and tourism impact assessment.

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VCW for BioVilla: Expanding Demand and Attracting International Professionals Through Enhanced Event Offerings

This project utilizes the Value Creation Wheel (VCW) framework to address two key challenges for BioVilla: identifying activities that will increase demand and attracting international professionals to host events, thereby solidifying BioVilla's position as an international sustainability center.

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VCW for TTB: Preserving Biodiversity in Victoria, Australia

TTB, a startup focused on biodiversity preservation, utilizes the VCW framework to identify Victoria, Australia, as the most suitable geographic market for its Earth Observation (EO) service. The service aims to provide crucial information to enable the implementation of biological corridors and protect endangered species.

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VCW 4 CA3: Sustainable Aquaculture Consulting in Nordland, Norway

CA3, a sustainable aquaculture consulting firm, utilizes the VCW framework to identify Nordland, Norway, as the most attractive market for its Earth Observation (EO) and consulting services, aimed at improving aquaculture sustainability and efficiency.

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VCW 4 DTA: Air Pollution Monitoring in Henan, China

Launching an Earth Observation service to track and reduce air pollution in Henan, China, empowering governments and corporations to improve air quality.

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VCW 4 Nextland: Empowering Agriculture Through Data

This project aimed to develop a comprehensive solution for agricultural associations using the VCW framework. The team analyzed market needs, identified key stakeholders, and formulated a digital platform and educational program. The process involved extensive market research, stakeholder interviews, and iterative refinement, resulting in a solution designed to enhance production optimization and risk transparency for farmers.

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