使用WebAI进行技术映射：3D打印案例
Technology Mapping Using WebAI: The Case of 3D Printing
摘要：
新技术的传播对于实现创新的社会和经济回报至关重要。然而，跟踪和映射技术扩散通常受到我们可以观察到的技术采用程度的限制。本研究使用网站文本来训练多语言模型集成，以3D打印为例绘制技术扩散图。该研究确定了相关行为者及其在传播过程中的作用。结果表明，除了制造商，服务提供商，零售商和信息提供商发挥了重要作用。采用强度的地理分布表明，区域3D打印强度由经验丰富的主要用户和技术大学的存在驱动。总体采用强度因部门和公司规模而异。这些模式表明，使用webAI的方法为技术映射提供了一种有用且新颖的工具，它增加了基于专利或调查数据的现有措施。
英文摘要：
The diffusion of new technologies is crucial for the realization of social and economic returns to innovation. Tracking and mapping technology diffusion is, however, typically limited by the extent to which we can observe technology adoption. This study uses website texts to train a multilingual language model ensemble to map technology diffusion for the case of 3D printing. The study identifies relevant actors and their roles in the diffusion process. The results show that besides manufacturers, service provider, retailers, and information providers play an important role. The geographic distribution of adoption intensity suggests that regional 3D-printing intensity is driven by experienced lead users and the presence of technical universities. The overall adoption intensity varies by sector and firm size. These patterns indicate that the approach of using webAI provides a useful and novel tool for technology mapping which adds to existing measures based on patents or survey data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
