{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"06dd97ec-cce5-45df-9acf-40e36f07dab3","title":"[数字经济前沿]技术封建主义","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787300328508","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"06dd97ec-cce5-45df-9acf-40e36f07dab3","id":"06dd97ec-cce5-45df-9acf-40e36f07dab3","uuid":"06dd97ec-cce5-45df-9acf-40e36f07dab3","title":"[数字经济前沿]技术封建主义","normalized_title":"数字经济前沿技术封建主义","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787300328508","isbns":["9787300328508"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":259,"navigation_url":"https://workshop.closeclaw.top/ai/book/06dd97ec-cce5-45df-9acf-40e36f07dab3","title_url":"https://workshop.closeclaw.top/ai/title/%5B%E6%95%B0%E5%AD%97%E7%BB%8F%E6%B5%8E%E5%89%8D%E6%B2%BF%5D%E6%8A%80%E6%9C%AF%E5%B0%81%E5%BB%BA%E4%B8%BB%E4%B9%89","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/06dd97ec-cce5-45df-9acf-40e36f07dab3/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/06dd97ec-cce5-45df-9acf-40e36f07dab3/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/06dd97ec-cce5-45df-9acf-40e36f07dab3","page_url":"https://workshop.closeclaw.top/api/ai/books/06dd97ec-cce5-45df-9acf-40e36f07dab3/page","search_url":"https://workshop.closeclaw.top/api/ai/books/06dd97ec-cce5-45df-9acf-40e36f07dab3/search"},"page":{"printed_page":139,"pdf_page":179,"physical_index":179,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"d75dd0056411d9a0c14188a485ce66ffb7b47042594e63146e06f0a8f4b18051"},"chapter":"第三章","content":"在价值链中，存在着争夺数据控制权的垂直竞争。数据流通是整合和优化分散工作流程中的业务流程的先决条件。但这种整合使数据的发起者和组织者获得了过多的数据。由于信息系统固有的不对称性和企业间不平等的议价能力，占统治地位的公司能够从合作伙伴的生产和商业流程中学习，并利用这些信息提高自身的创新能力。因此，利用数字工具所产生的数据的集中化推动了知识垄断的发展，从而实现了价值链的整合。\n\n垄断知识的过程涉及在全球范围内以日益严格的知识产权大规模圈占知识，但它并不仅限于此。如表3-1所示，它所要求的生产过程的国际分化，以及设计和执行活动的日益分离，通过整合功能创造了新的知识产权租金来源。\n\n第三章 无形资产的食利者\n\n① Bernard MARR, «Really Big Data at Walmart: real-time insights from their 40 + petabyte data cloud» , Forbes , 23 janvier 2017.\n\n139","previous_page":138,"next_page":140}