To tackle humanity's food challenges, agricultural companies need to exploit technological advancements by innovating their business models. Solution business model patterns (SBMPs) play a central role in business model innovation. However, the current literature on SBMPs is outdated and has not been adapted for the field of agriculture. By analyzing 198 digital solutions from 116 agriculture startups, we identify 18 SBMPs, nine of which have not been identified in any previous research. We thus significantly expand the existing literature on SBMPs and outline the technological drivers of emerging SBMPs. Furthermore, putting the 18 identified SBMPs into the context of agriculture will help agricultural companies innovate their business models. Three SBMPs with high potential to tackle humanity's food challenges are further discussed.
Solution business model patterns, which describe solutions to recurring business problems, play a central role in business innovation as 90% of business model innovations are recombinations of solution business model patterns. Research so far has only identified seven data-driven solution business model patterns limited to revenue models in data-driven services. We have systematically analyzed 471 late stage, data-driven startups, identifying 32 data-driven solution business model patterns. We categorized them along the nine business model building blocks from the business model canvas of Osterwalder and Pigneur. A framework that is often used by practitioners in business model innovation projects. This paper significantly expands the research conducted on data-driven solution business model patterns. Furthermore, the identified data-driven solution business model patterns will support practitioners in data-driven business model innovation.
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