INCREMENTAL INNOVATION AND INDUSTRIAL ORGANIZATION

摘要：

Recent work has argued that many performance landscapes are rugged; a topological mapping between all possible implementation of a technology, strategy, or organizational structure and the efficacy associated with each implementation typically exhibits multiple local optima. However, the existing literature on the impact of industrial structure on learning-by-doing implicitly assumes that such landscapes are smooth. We present a learning-by-doing model that allows for rugged performance landscapes. Contrary to previous models, ours suggests that a monopolistic industrial structure does not maximize the gains from learning-by-doing. This finding has implications for innovators and decision makers in both the public and private sectors.

作者: William M. Tracy Wiliam Paczkowski

作者单位: Lally School of Management & Technology Rensselaer Polytechnic Institute

会议类型: 国际会议

会议名称: Academy of Innovation and Entrepreneurship 2010(2010创新与创业国际学术会议)

会议地点: 北京

会议语种:英文

页码: 368-373

在线出版日期: 2010-07-09（万方平台首次上网日期，不代表论文的发表时间）