Intro -- Preface -- Acknowledgments -- Contents -- About the Author -- 1: People Love Flowers -- 1.1 Tulip Time -- 1.2 Seduction -- 1.3 Inspiration -- 1.4 Value Network -- 1.5 Flower Demand -- 1.6 Global and Local Markets -- 1.7 Three Questions -- 1.8 Map of the World and the Netherlands -- References -- 2: Tulip Bulbs -- 2.1 Tulip Fields -- 2.2 Bourgeois Deal -- 2.3 True Monarch of Flowers -- 2.4 Tulip Breaking Mystery -- 2.5 Mystery Solved -- 2.6 Bulb Breeding -- 2.7 High Tech Genetics -- References -- 3: Glass City -- 3.1 Urban Landscape -- 3.2 Orangeries -- 3.3 Flowering Plants -- 3.4 Glasshouses -- 3.5 Data-Driven Production -- 3.6 Laboratories for Innovation -- 3.7 Urban Cities -- 3.8 High Tech and Carbon Neutral -- 3.9 Innovate and Digitize -- 3.10 Vertical Farming -- References -- 4: Dutch Flower Auctions -- 4.1 The Year 1637 -- 4.2 Tulip Mania Unraveled -- 4.3 Social Construction of Value -- 4.4 English Auctions -- 4.5 Dutch Auctions -- 4.6 Grower Cooperatives -- 4.7 Bidding in Dutch Auctions -- 4.8 Digitizing Flower Auctions -- 4.9 Other Auction Designs -- 4.10 Lessons Learned -- References -- 5: Flower Bouquets and Ecosystems -- 5.1 Kenyan Roses -- 5.2 Fashion and Flowers -- 5.3 Disruption -- 5.4 Flowers by Parcel Post -- 5.5 Digital Business Design -- 5.6 Platform Ecosystems -- 5.7 Direct Flow Distribution -- 5.8 Payments and Currencies -- 5.9 Web Redesign and Data Ownership -- References -- 6: Blooming Algorithms -- 6.1 Street Markets -- 6.2 Online Markets -- 6.3 Deep Learning --
6.4 Algorithms for Distribution -- 6.5 Flower Auctioneers -- 6.6 Algorithms for Auctioneers -- 6.7 Bidder Behavior -- 6.8 Predictive Flower Power -- 6.9 Algorithms for Value -- 6.10 Challenges -- References -- 7: The Future Is Circular and Digital -- 7.1 Group Portraits.
7.2 Cooperation and Concordance -- 7.3 Information Space Theory -- 7.4 Circular and Digital Transformations -- 7.5 Business Ecosystem Transition -- 7.6 Three Questions and Answers -- 7.7 Epilogue -- References -- Index.