Data-driven business modelling
The Internet of Things holds a big promise to boost digital innovation in the agriculture and food sector. For example, it allows for precision farming and for improving quality monitoring throughout the value chain.
Yet, companies must adjust their standard operating procedures and make large up-front investments to realise data-driven innovations. Moreover, recurring investments will be needed to keep up with new developments, stay ahead of the competition and not be disrupted for staying behind. For this reason, many organisations search for solid data-driven business models that they can implement to benefit from digital innovation.
What we can do for you
At Wageningen Economic Research we can help you to find and implement a suitable business model. As with many business challenges there is not one simple answer on what business model a company or other organisation should apply to be successful. Business scientists have come up with hundreds of business model alternatives and many of these could be applied in data-driven businesses. The variety of options may inspire you but will probably leave you with more questions than answers.
Because we are coordinating many large-scale programmes and projects on digital innovation, we have built a considerable track-record on facilitating both single companies and consortia of businesses and other organisations in this search process. In these projects, we combine the domain and sector expertise of Wageningen University & Research with the business innovation expertise gained throughout many digital innovation trajectories.
Do you want to know how we can help you to move forward? Contact our experts so that we together can innovate your business through data.
Projects
- IoF2020
- DATA-FAIR (Dutch only)
- SmartAgriHubs 2020 (Dutch only)
- Food Nutrition & Health Research Infrastructure
- Precision Farming
- Fieldlab Vertical Farming (Dutch only)
- H2020 I2Connect (Dutch only)
- WDCC Market Validation
Publications
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Big Data in Smart Farming – A review
Agricultural Systems 153 (2017). - ISSN 0308-521X - p. 69 - 80. -
Fostering business and software ecosystems for large-scale uptake of IoT in food and farming
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Guidelines for Governance of Data Sharing in Agri-Food networks
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Internet of Things in agriculture
CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources 11 (2016). - ISSN 1749-8848 - 12 p. -
Ethics of smart farming : Current questions and directions for responsible innovation towards the future
NJAS: Impact in Agricultural and Life Sciences 90-91 (2019). - ISSN 1573-5214 -
Virtualization of food supply chains with the internet of things
Journal of Food Engineering 176 (2016). - ISSN 0260-8774 - p. 128 - 136.
How to build a successful business model with big data platforms? A product lifecycle perspective.
Verstegen, J.A.A.M. and R.B. Doorneweert (2017). Paper presentation in workshop Platform Economy and Business Models. Proceedings of The International Conference on Knowledge Technologies and Data-driven Business, Graz, Austria, October 11 2017 (i-KNOW '17), 9 pages.
Business model creation for start-ups working with IoT solutions in the agri-food sector
Ten Brummelhuis, A., Verstegen, J.A.A.M., and G. Isakhanyan (2021). Whitepaper.
More information
Innovate your business in five steps
A successful company today is by no means a guarantee for success in the future. Politics, market developments, innovations and laws all can have a big impact on business performance.