, 2017. Business modelling for a digital compliance platform: Taking stock and looking forward; (D3.2.1 Desk study and interviews).Wageningen, Wageningen Economic Research, Report 2017-014. 38 pp.; 9 fig.; 2 tab.; 23 ref. This report presents findings from a desk study and the first round of stakeholder consultation on the business models of Ag data platforms that are relevant to developing a compliance platform. It assembles possible analogs and antilogs that can be used to gauge the options for the compliance platform as envisaged by FarmDigital.Key words: data platform, business model, value network, digital compliance This report can be downloaded for free at http://dx.doi.org/10.18174/406002 or at www.wur.eu/economic-research (under Wageningen Economic Research publications). The user may reproduce, distribute and share this work and make derivative works from it. Material by third parties which is used in the work and which are subject to intellectual property rights may not be used without prior permission from the relevant third party. The user must attribute the work by stating the name indicated by the author or licensor but may not do this in such a way as to create the impression that the author/licensor endorses the use of the work or the work of the user. The user may not use the work for commercial purposes.Wageningen Economic Research accepts no liability for any damage resulting from the use of the results of this study or the application of the advice contained in it. Key issues to be addressed in business modelling of the compliance platform are the following:• The level of collectiveness or openness in ownership structure and platform development• The value creation mechanism through data and information exchange• Monetarisation strategy• Launching strategy• Governance. S.2 MethodologyA wide range of business models are used for developing Ag data platforms in agrifood chains.This report presents findings from a desk study and the first round of stakeholder consultation on the 1 Introduction BackgroundAs digitalisation of farming processes continues to expand and intensify, the supply of and the demand for farming data are rapidly growing (Sonka, 2014;Zhang and Shen, 2011). Farm data are generated by a variety of farming operations, ranging from financial and production records traditionally kept by farm management to machine-generated data coming from sensors and smart farm equipment.Demand for farming data is on the one hand driven by the need to make informed decisions and on the other hand pulled by informational institutions such as standards and certification schemes for governance purposes such as transparency and sustainability (Ge and Brewster, 2016;Verbeke, 2005).To meet the demand for information and to prove compliance with relevant requirements, farmers in the agrifood chains must record and report all kinds of data. The majority of this agriculture-related data are still paper-based, spread over different systems and difficult to exchange between interested parties. There is ...
Primo-Secundo, A., B. Tertio, C. Quarto, 2016. Impact Assessment for Digital Compliance Platform: A Conceptual Model; (D3.1.1 Conceptual model for impact assessmentThe user may reproduce, distribute and share this work and make derivative works from it. Material by third parties which is used in the work and which are subject to intellectual property rights may not be used without prior permission from the relevant third party. The user must attribute the work by References and websites 20Preface Growers in international chains participate in food safety and sustainability programmes in which they share information with customers and certification bodies. Digitalisation of the information and development of information standards for data exchange are expected to ease the administrative burden of data sharing. The project FarmDigital (www.farmdigital.nl) is set up to develop these standards and test a prototype compliance platform for collecting and sharing compliance data.This report presents a conceptual model for impact assessment of the prototype compliance platform developed within the project FarmDigital. In view of the different degrees of direct and indirect interactions with the platform, the conceptual model distinguishes three spheres of impact: sphere of control, sphere of influence and sphere of interest. Furthermore, the model describes impact pathways of the digital compliance platform in different spheres of impact on different stakeholders. For the purpose of practical application, this report also discusses the indicators to be specified and data needs for future impact assessment. Based on the theory of change developed, the model describes impact pathways of the digital compliance platform in different spheres of impact.The conceptual model can be used to specify indicators and derive data needs for empirical impact assessment. Following the conceptual model, it is important for impact assessment to characterise the baseline situation, the intervention, and the confounding factors. When assessing the impact of the prototype platform, the following confounding factors in the sphere of influence and the sphere of interest should especially be taken into account:• Developments in the ag-data space (e.g., the rise of competitor platforms or competing technologies such as big data and Blockchain technologies and the availability and developments of information standards that are needed for data exchange)• Developments in the certification landscape (e.g., changing demand for certification schemes, changing data requirements by certification schemes)• Changing institutional environment (e.g., stringent regulations on data ownership, privacy)• Changing ownership and governance structure of the future prototype platform (e.g., solely owned and operated by AgriPlace B.V., shared ownership by AgriPlace and DLO, collective ownership).
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